{"type": "FeatureCollection", "features": [{"id": "10138/578894", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:44Z", "type": "Journal Article", "created": "2024-05-31", "title": "Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems", "description": "Open AccessPeer reviewed", "keywords": ["Physical sciences", "Evapotranspiration", "Lower-cost eddy covariance", "Carbon dioxide flux", "Agroforestry", "Gas analyzer"]}, "links": [{"href": "https://doi.org/10138/578894"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10138/578894", "name": "item", "description": "10138/578894", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10138/578894"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.5281/zenodo.4487144", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:22:39Z", "type": "Dataset", "title": "Eddy Covariance data from ICOS-associated station IT-NIV \u2013 August-November 2019", "description": "RestrictedData stored here refer to Eddy Covariance (EC) data measured in 2019 between August and November at the Alpine CZO (Critical Zone Observatory, hereafter CZO@Nivolet) which was established at the Nivolet Plain (Piani del Nivolet) in the Gran Paradiso National Park (GPNP), located in the western Italian Alps. The EC site (IT-NIV) is an ICOS-associated station. CZO@Nivolet is aimed at investigating the cross-scale interactions between climatic shifts and ecosystem functions multiple scales, involving multidisciplinary studies. The main research questions that we aim to answer are concerning: (a) the effect of bedrock lithology, soil physics and chemisty, topographic hetereogenity, biotic components and meteo-climatic parameters in modulating CO<sub>2</sub> flux in alpine grassland; and (b) what are the controlling factors of organic C and weathering under geologic substrates and different topographic positions. The investigations started in 2017. In 2019, the EC tower was added to deeply study CO<sub>2</sub>, H<sub>2</sub>0, latent and sensible heat exchanges between soil, vegetation, and atmosphere. Carbon dioxide fluxes and environmental variables are recorded during the snow-free season to estimate carbon storage and explore CO<sub>2</sub> fluxes drivers in high-altitude grasslands. Further developments will regard the integration of different techniques (Eddy Covariance, Remote Sensing, Flux chambers) to improve both spatial and temporal extent of carbon fluxes estimates to finally assess grasslands' productivity.", "keywords": ["13. Climate action", "alpine grassland", "15. Life on land", "Gran Paradiso National Park", "Mountain", "EO_Data", "Eddy Covariance", "Net Ecosystem Exchange", "ecosystem-atmosphere carbon exchange"], "contacts": [{"organization": "Vivaldo, Gianna, Raco, Brunella, Baneschi, Ilaria, Giamberini, Maria Silvia,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4487144"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4487144", "name": "item", "description": "10.5281/zenodo.4487144", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4487144"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-05-20T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2006.01.007", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:30Z", "type": "Journal Article", "created": "2006-02-25", "title": "A Multi-Site Analysis Of Random Error In Tower-Based Measurements Of Carbon And Energy Fluxes", "description": "Measured surface-atmosphere fluxes of energy (sensible heat, H, and latent heat, LE) and CO2 (FCO2) represent the \u2018\u2018true\u2019\u2019 flux plus or minus potential random and systematic measurement errors. Here, we use data from seven sites in the AmeriFlux network, including five forested sites (two of which include \u2018\u2018tall tower\u2019\u2019 instrumentation), one grassland site, and one agricultural site, to conduct a cross-site analysis of random flux error. Quantification of this uncertainty is a prerequisite to model-data synthesis (data assimilation) and for defining confidence intervals on annual sums of net ecosystem exchange or making statistically valid comparisons between measurements and model predictions. We differenced paired observations (separated by exactly 24 h, under similar environmental conditions) to infer the characteristics of the random error in measured fluxes. Random flux error more closely follows a double-exponential (Laplace), rather than a normal (Gaussian), distribution, and increase as a linear function of the magnitude of the flux for all three scalar fluxes. Across sites, variation in the random error follows consistent and robust patterns in relation to environmental variables. For example, seasonal differences in the random error for H are small, in contrast to both LE and FCO2, for which the random errors are roughly three-fold larger at the peak of the growing season compared to the dormant season. Random errors also generally scale with Rn (H and LE) and PPFD (FCO2). For FCO2 (but not H or LE), the random error decreases with increasing wind speed. Data from two sites suggest that FCO2 random error may be slightly smaller when a closed-path, rather than open-path, gas analyzer is used.", "keywords": ["Random error", "Flux", "550", "carbon", "Uncertainty", "0207 environmental engineering", "AmeriFlux", "Eddy covariance", "02 engineering and technology", "15. Life on land", "01 natural sciences", "Carbon", "flux", "Measurement error", "13. Climate action", "Natural Resources and Conservation", "Data assimilation", "eddy covariance", "Ameriflux", "uncertainty", "random error", "data assimilation", "measurement error", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2006.01.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2006.01.007", "name": "item", "description": "10.1016/j.agrformet.2006.01.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2006.01.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-01-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2007.08.011", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:30Z", "type": "Journal Article", "created": "2007-09-26", "title": "Comprehensive Comparison Of Gap-Filling Techniques For Eddy Covariance Net Carbon Fluxes", "description": "Abstract   We review 15 techniques for estimating missing values of net ecosystem CO 2  exchange (NEE) in eddy covariance time series and evaluate their performance for different artificial gap scenarios based on a set of 10 benchmark datasets from six forested sites in Europe.  The goal of gap filling is the reproduction of the NEE time series and hence this present work focuses on estimating missing NEE values, not on editing or the removal of suspect values in these time series due to systematic errors in the measurements (e.g., nighttime flux, advection). The gap filling was examined by generating 50 secondary datasets with artificial gaps (ranging in length from single half-hours to 12 consecutive days) for each benchmark dataset and evaluating the performance with a variety of statistical metrics. The performance of the gap filling varied among sites and depended on the level of aggregation (native half-hourly time step versus daily), long gaps were more difficult to fill than short gaps, and differences among the techniques were more pronounced during the day than at night.  The non-linear regression techniques (NLRs), the look-up table (LUT), marginal distribution sampling (MDS), and the semi-parametric model (SPM) generally showed good overall performance. The artificial neural network based techniques (ANNs) were generally, if only slightly, superior to the other techniques. The simple interpolation technique of mean diurnal variation (MDV) showed a moderate but consistent performance. Several sophisticated techniques, the dual unscented Kalman filter (UKF), the multiple imputation method (MIM), the terrestrial biosphere model (BETHY), but also one of the ANNs and one of the NLRs showed high biases which resulted in a low reliability of the annual sums, indicating that additional development might be needed. An uncertainty analysis comparing the estimated random error in the 10 benchmark datasets with the artificial gap residuals suggested that the techniques are already at or very close to the noise limit of the measurements. Based on the techniques and site data examined here, the effect of gap filling on the annual sums of NEE is modest, with most techniques falling within a range of \u00b125\u00a0g\u00a0C\u00a0m \u22122 \u00a0year \u22121 .", "keywords": ["Net ecosystem exchange (NEE)", "Gap-filling comparison", "550", "FLUXNET", "0207 environmental engineering", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Carbon flux", "Review of gap-filling techniques", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2007.08.011"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2007.08.011", "name": "item", "description": "10.1016/j.agrformet.2007.08.011", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2007.08.011"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-12-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2012.10.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:31Z", "type": "Journal Article", "created": "2012-11-29", "title": "Fluxes Of The Greenhouse Gases (Co2, Ch4 And N2o) Above A Short-Rotation Poplar Plantation After Conversion From Agricultural Land", "description": "The increasing demand for renewable energy may lead to the conversion of millions of hectares into bioenergy plantations with a possible substantial transitory carbon (C) loss. In this study we report on the greenhouse gas fluxes (CO2, CH4, and N2O) measured using eddy covariance of a short-rotation bioenergy poplar plantation converted from agricultural fields. During the first six months after the establishment of the plantation (June-December 2010) there were substantial CO2, CH4, and N2O emissions (a total of 5.36 +/- 0.52 MgCO2eq ha(-1) in terms of CO2 equivalents). Nitrous oxide loss mostly occurred during a week-long peak emission after an unusually large rainfall. This week-long N2O emission represented 52% of the entire N2O loss during one and an half years of measurements. As most of the N2O loss occurred in just this week-long period, accurately capturing these emission events are critical to accurate estimates of the GHG balance of bioenergy. While initial establishment (June-December 2010) of the plantation resulted in a net CO2 loss into the atmosphere (2.76 +/- 0.16 Mg CO2eq ha(-1)), in the second year (2011) there was substantial net CO2 uptake (-3.51 +/- 0.56 Mg CO2eq ha(-1)). During the entire measurement period, CH4 was a source to the atmosphere (0.63 +/- 0.05 Mg CO2eq ha(-1) in 2010, and 0.49 +/- 0.05 Mg CO2eq ha(-1) in 2011), and was controlled by water table depth. Importantly, over the entire measurement period, the sum of the CH4 and N2O losses was much higher (3.51 +/- 0.52 Mg CO2eq ha(-1)) than the net CO2 uptake (-0.76 +/- 0.58 Mg CO2eq ha(-1)). As water availability was an important control on the GHG emission of the plantation, expected climate change and altered rainfall pattern could increase the negative environmental impacts of bioenergy. (C) 2012 Elsevier B.V. All rights reserved.", "keywords": ["N2O fluxes", "2. Zero hunger", "Physics", "Water limitation", "Eddy covariance", "15. Life on land", "7. Clean energy", "01 natural sciences", "Land use change (LUC)", "Chemistry", "CO2 fluxes", "13. Climate action", "Bioenergy", "Biology", "CH4 fluxes", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2012.10.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2012.10.008", "name": "item", "description": "10.1016/j.agrformet.2012.10.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2012.10.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-02-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2005.05.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:30Z", "type": "Journal Article", "created": "2005-07-18", "title": "Annual Carbon Dioxide Exchange In Irrigated And Rainfed Maize-Based Agroecosystems", "description": "Carbon dioxide exchange was quantified in maize\u2010soybean agroecosystems employing year-round tower eddy covariance flux systems and measurements of soil C stocks, CO2 fluxes from the soil surface, plant biomass, and litter decomposition. Measurements were made in three cropping systems: (a) irrigated continuous maize, (b) irrigated maize\u2010soybean rotation, and (c) rainfed maize\u2010soybean rotation during 2001\u20102004. Because of a variable cropping history, all three sites were uniformly tilled by disking prior to initiation of the study. Since then, all sites are under no-till, and crop and soil management follow best management practices prescribed for production-scale systems. Cumulative daily gain of C by the crops (from planting to physiological maturity), determined from the measured eddy covariance CO2 fluxes and estimated heterotrophic respiration, compared well with the measured total above and belowground biomass. Two contrasting features of maize and soybean CO2 exchange are notable. The value of integrated GPP (gross primary productivity) for both irrigated and rainfed maize over the growing season was substantially larger (ca. 2:1 ratio) than that for soybean. Also, soybean lost a larger portion (0.80\u20100.85) of GPP as ecosystem respiration (due, in part, to the large amount of maize residue from the previous year), as compared to maize (0.55\u20100.65). Therefore, the seasonally integrated NEP (net ecosystem production) in maize was larger by a 4:1 ratio (approximately), as compared to soybean. Enhanced soil moisture conditions in the irrigated maize and soybean fields caused an increase in ecosystem respiration, thus eliminating any advantage of increased GPP and giving about the same values for the growing season NEP as the rainfed fields. On an annual basis, the NEP of irrigated continuous maize was 517, 424, and 381 g C m \ufffd 2 year \ufffd 1 , respectively, during the 3 years of our study. In rainfed maize the annual NEP was 510 and 397 g C m \ufffd 2 year \ufffd 1 in years 1 and 3, respectively. The annual NEP in the irrigated and rainfed soybean fields were in the", "keywords": ["2. Zero hunger", "carbon budget", "no-till farming", "Plant Sciences", "eddy covariance", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "carbon sequestration", "01 natural sciences", "630", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2005.05.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2005.05.003", "name": "item", "description": "10.1016/j.agrformet.2005.05.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2005.05.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-07-01T00:00:00Z"}}, {"id": "10.1007/s10533-023-01091-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:14:45Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "Abstract           <p>Greenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.</p", "keywords": ["570", "Atmospheric sciences", "Carbon Dynamics in Peatland Ecosystems", "Eddy covariance", "Greenhouse gas", "01 natural sciences", "Article", "Environmental science", "Methane Emissions", "Impact of Climate Change on Forest Wildfires", "Importance of Mangrove Ecosystems in Coastal Protection", "11. Sustainability", "greenhouse gases", "Climate change", "Biology", "peatlands", "Ecosystem", "Land use", " land-use change and forestry", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "Global and Planetary Change", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Peat", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "carbon sequestration", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "Global Emissions", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Land use", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.1007/s10533-023-01091-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10533-023-01091-2", "name": "item", "description": "10.1007/s10533-023-01091-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10533-023-01091-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-15T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2009.04.003", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:31Z", "type": "Journal Article", "created": "2009-05-20", "title": "Seasonal And Interannual Patterns Of Carbon And Water Fluxes Of A Poplar Plantation Under Peculiar Eco-Climatic Conditions", "description": "This paper reports 3 years of eddy covariance measurements (2002-2004) on a poplar plantation (Populus; x cancidensis Moench, Clone I-214) in Northern Italy. We analyzed seasonal and interannual variability of the net ecosystem exchange (NEE), gross primary production (GPP), ecosystem respiration (R(ECO)) and evapotranspiration (ET) in relation to different meteorological and environmental conditions experienced by the plantation and to natural disturbances. In particular, during 2003 climatic conditions were exceptionally severe, with the highest mean air temperatures and the lowest precipitations observed in the study area in the last 50 years. In addition, during the late summer of 2004, the plantation was attacked by fall webworm larvae (Hyphantria cunea). The cumulated NEE during the three growing season (April-September) was -752.8, -626.7 and -702.7 g C m(-2) for 2002, 2003 and 2004, respectively. In the period June-August 2003, NEE was 35% and 29% higher than the NEE measured in the same period in 2002 and 2004, respectively, resulting in a lower net carbon uptake. As R(ECO) did not show large differences over the three growing seasons, the reduction in net carbon sequestration of June-August 2003 is mainly explained by a reduction of GPP (-18% and -17% in 2002 and 2004, respectively). The cumulated ET over the three growing seasons was 388, 471, 484 kg H(2)O m(-2) for 2002, 2003 and 2004, respectively. This behaviour was due to the fact that the position of the water table remained close to the roots, therefore supplying enough water to the plantation, even during the driest period. The analysis of light curve parameters, their residuals and canopy conductance suggests that the reduction Of CO(2) uptake during summer 2003 was mainly controlled by stomatal and non-stomatal limitations due to high temperatures, directly and in particular indirectly (i.e. through D) rather than by soil water stress. In conclusion, our study shows that in the presence of a heat-wave, a significant reduction of net productivity during summer may occur even in the absence of marked soil water stress. In addition to this sensitivity to high temperatures, which will likely increase in the future, the effects of natural disturbances may add further uncertainties, thus suggesting caution in the evaluation of the potential carbon sequestration of these ecosystems. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.", "keywords": ["Poplar plantations; 2003 Heat-wave; Eddy covariance; Net ecosystem exchange", "13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2009.04.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2009.04.003", "name": "item", "description": "10.1016/j.agrformet.2009.04.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2009.04.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-09-01T00:00:00Z"}}, {"id": "10.1016/j.agrformet.2024.110086", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:32Z", "type": "Journal Article", "created": "2024-05-31", "title": "Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems", "description": "Open AccessPeer reviewed", "keywords": ["Physical sciences", "Evapotranspiration", "Lower-cost eddy covariance", "Carbon dioxide flux", "Agroforestry", "Gas analyzer"]}, "links": [{"href": "https://doi.org/10.1016/j.agrformet.2024.110086"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20and%20Forest%20Meteorology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agrformet.2024.110086", "name": "item", "description": "10.1016/j.agrformet.2024.110086", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agrformet.2024.110086"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-07-01T00:00:00Z"}}, {"id": "10.1016/j.agwat.2020.106546", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:15:35Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "2. Zero hunger", "0106 biological sciences", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/10.1016/j.agwat.2020.106546"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agwat.2020.106546", "name": "item", "description": "10.1016/j.agwat.2020.106546", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agwat.2020.106546"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.1029/2020wr028752", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:26Z", "type": "Journal Article", "created": "2021-10-17", "title": "Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions", "description": "Abstract<p>Many remote sensing\uffe2\uff80\uff90based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley\uffe2\uff80\uff93Taylor Jet Propulsion Laboratory (PT\uffe2\uff80\uff90JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman\uffe2\uff80\uff93Monteith Mu model (PM\uffe2\uff80\uff90MOD), and Penman\uffe2\uff80\uff93Monteith Nagler model (PM\uffe2\uff80\uff90VI).  was predicted satisfactorily by all four models, with correlations consistently higher () for GLEAM and PT\uffe2\uff80\uff90JPL, and PM\uffe2\uff80\uff90MOD and PM\uffe2\uff80\uff90VI presenting overall better responses in terms of percent bias (%). As for PM\uffe2\uff80\uff90VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land\uffe2\uff80\uff90use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America.</p>", "keywords": ["ATMOSPHERE WATER FLUX", "550", "VEGETATION INDEX", "Penman-Monteith", "RIPARIAN EVAPOTRANSPIRATION", "0207 environmental engineering", "02 engineering and technology", "SURFACE-TEMPERATURE", "01 natural sciences", "transpiration", "SEMIARID ENVIRONMENT", "CARBON-DIOXIDE", "ENERGY-BALANCE CLOSURE", "https://purl.org/becyt/ford/1.5", "https://purl.org/becyt/ford/1", "Water Science and Technology", "0105 earth and related environmental sciences", "RAINFALL INTERCEPTION", "PRIESTLEY-TAYLOR", "WACMOS-ET PROJECT", "TRANSPIRATION", "15. Life on land", "EDDY COVARIANCE MEASUREMENTS", "name=Water and Environmental Engineering", "MODIS", "13. Climate action", "Earth and Environmental Sciences", "Priestley-Taylor", "PENMAN-MONTEITH", "/dk/atira/pure/core/keywords/water_and_environmental_engineering"]}, "links": [{"href": "https://centaur.reading.ac.uk/101236/1/agujournaltemplateDinizetal.pdf"}, {"href": "https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2020WR028752"}, {"href": "https://doi.org/10.1029/2020wr028752"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Water%20Resources%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1029/2020wr028752", "name": "item", "description": "10.1029/2020wr028752", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1029/2020wr028752"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-11-01T00:00:00Z"}}, {"id": "10.1038/s41467-019-12976-y", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:32Z", "type": "Journal Article", "created": "2019-11-01", "title": "Seasonal dynamics of stem N2O exchange follow the physiological activity of boreal trees", "description": "Abstract<p>The role of trees in the nitrous oxide (N2O) balance of boreal forests has been neglected despite evidence suggesting their substantial contribution. We measured seasonal changes in N2O fluxes from soil and stems of boreal trees in Finland, showing clear seasonality in stem N2O flux following tree physiological activity, particularly processes of CO2 uptake and release. Stem N2O emissions peak during\uffc2\uffa0the vegetation season, decrease rapidly in October, and remain low but significant to the annual totals during winter dormancy. Trees growing on dry soils even turn to consumption of\uffc2\uffa0N2O from the atmosphere during dormancy, thereby reducing their overall N2O emissions. At an\uffc2\uffa0annual scale, pine, spruce and birch are net N2O sources, with spruce being the strongest emitter. Boreal trees thus markedly contribute to the seasonal dynamics of ecosystem N2O exchange, and their species-specific contribution should be included into forest emission inventories.</p>", "keywords": ["EDDY COVARIANCE", "Science", "Nitrous Oxide", "NITROUS-OXIDE EMISSIONS", "Article", "CO2 EXCHANGE", "Trees", "CARBON-DIOXIDE", "Soil", "METHANE", "Taiga", "CH4 EMISSIONS", "SCOTS PINE", "Ecosystem", "Finland", "Plant Stems", "Atmosphere", "Q", "Forestry", "04 agricultural and veterinary sciences", "Carbon Dioxide", "15. Life on land", "FOREST", "Environmental sciences", "SOIL", "PLANT-GROWTH", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Seasons", "Methane"]}, "links": [{"href": "https://www.nature.com/articles/s41467-019-12976-y.pdf"}, {"href": "https://doi.org/10.1038/s41467-019-12976-y"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1038/s41467-019-12976-y", "name": "item", "description": "10.1038/s41467-019-12976-y", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1038/s41467-019-12976-y"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-01T00:00:00Z"}}, {"id": "10.1039/c8en00501j", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:39Z", "type": "Journal Article", "created": "2018-08-29", "title": "On the application of spectral corrections to particle flux measurements", "description": "<p>An altered empirical method to estimate attenuation correction factors in particle flux measurements.</p>", "keywords": ["SCALAR SIMILARITY", "Environmental sciences", "Physical sciences", "EDDY COVARIANCE METHOD", "DEPOSITION VELOCITIES", "AEROSOL FLUXES", "13. Climate action", "TURBULENCE", "Urbanisation", "SCOTS PINE FOREST", "EXCHANGE", "SOUTHERN FINLAND", "7. Clean energy"]}, "links": [{"href": "http://pubs.rsc.org/en/content/articlepdf/2018/EN/C8EN00501J"}, {"href": "https://doi.org/10.1039/c8en00501j"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Science%3A%20Nano", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1039/c8en00501j", "name": "item", "description": "10.1039/c8en00501j", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1039/c8en00501j"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-01-01T00:00:00Z"}}, {"id": "10.1073/pnas.2118014119", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:17:52Z", "type": "Journal Article", "created": "2022-09-12", "title": "Strong isoprene emission response to temperature in tundra vegetation", "description": "<p>             Emissions of biogenic volatile organic compounds (BVOCs) are a crucial component of biosphere\uffe2\uff80\uff93atmosphere interactions. In northern latitudes, climate change is amplified by feedback processes in which BVOCs have a recognized, yet poorly quantified role, mainly due to a lack of measurements and concomitant modeling gaps. Hence, current Earth system models mostly rely on temperature responses measured on vegetation from lower latitudes, rendering their predictions highly uncertain. Here, we show how tundra isoprene emissions respond vigorously to temperature increases, compared to model results. Our unique dataset of direct eddy covariance ecosystem-level isoprene measurements in two contrasting ecosystems exhibited             Q             10             (the factor by which the emission rate increases with a 10\uffe2\uff80\uff89\uffc2\uffb0C rise in temperature) temperature coefficients of up to 20.8, that is, 3.5 times the             Q             10             of 5.9 derived from the equivalent model calculations. Crude estimates using the observed temperature responses indicate that tundra vegetation could enhance their isoprene emissions by up to 41% (87%)\uffe2\uff80\uff94that is, 46% (55%) more than estimated by models\uffe2\uff80\uff94with a 2\uffe2\uff80\uff89\uffc2\uffb0C (4\uffe2\uff80\uff89\uffc2\uffb0C) warming. Our results demonstrate that tundra vegetation possesses the potential to substantially boost its isoprene emissions in response to future rising temperatures, at rates that exceed the current Earth system model predictions.           </p>", "keywords": ["550", "Biogenic volatile organic compound fluxes", "Plant Development", "Eddy covariance", "Global Warming", "01 natural sciences", "biosphere\u2013atmosphere interactions", "Atmospheric Sciences", "Hemiterpenes", "VOC emission modeling", "eddy covariance", "Butadienes", "Temperature response", "biosphere-atmosphere interactions", "Tundra", "0105 earth and related environmental sciences", "Volatile Organic Compounds", "Biosphere\u2013atmosphere interactions", "Temperature", "500", "15. Life on land", "biogenic volatile organic compound fluxes", "Climate Action", "13. Climate action", "Physical Sciences", "Earth Sciences", "temperature response"]}, "links": [{"href": "https://pnas.org/doi/pdf/10.1073/pnas.2118014119"}, {"href": "https://escholarship.org/content/qt6xn5p3sr/qt6xn5p3sr.pdf"}, {"href": "https://doi.org/10.1073/pnas.2118014119"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Proceedings%20of%20the%20National%20Academy%20of%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1073/pnas.2118014119", "name": "item", "description": "10.1073/pnas.2118014119", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1073/pnas.2118014119"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-28T00:00:00Z"}}, {"id": "10.1111/gcb.13893", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:26Z", "type": "Journal Article", "created": "2017-09-06", "title": "Towards physiologically meaningful water-use efficiency estimates from eddy covariance data", "description": "Abstract<p>Intrinsic water\uffe2\uff80\uff90use efficiency (iWUE) characterizes the physiological control on the simultaneous exchange of water and carbon dioxide in terrestrial ecosystems. Knowledge of iWUE is commonly gained from leaf\uffe2\uff80\uff90level gas exchange measurements, which are inevitably restricted in their spatial and temporal coverage. Flux measurements based on the eddy covariance (EC) technique can overcome these limitations, as they provide continuous and long\uffe2\uff80\uff90term records of carbon and water fluxes at the ecosystem scale. However, vegetation gas exchange parameters derived from EC data are subject to scale\uffe2\uff80\uff90dependent and method\uffe2\uff80\uff90specific uncertainties that compromise their ecophysiological interpretation as well as their comparability among ecosystems and across spatial scales. Here, we use estimates of canopy conductance and gross primary productivity (GPP) derived from EC data to calculate a measure of iWUE (G1, \uffe2\uff80\uff9cstomatal slope\uffe2\uff80\uff9d) at the ecosystem level at six sites comprising tropical, Mediterranean, temperate, and boreal forests. We assess the following six mechanisms potentially causing discrepancies between leaf and ecosystem\uffe2\uff80\uff90level estimates of G1: (i) non\uffe2\uff80\uff90transpirational water fluxes; (ii) aerodynamic conductance; (iii) meteorological deviations between measurement height and canopy surface; (iv) energy balance non\uffe2\uff80\uff90closure; (v) uncertainties in net ecosystem exchange partitioning; and (vi) physiological within\uffe2\uff80\uff90canopy gradients. Our results demonstrate that an unclosed energy balance caused the largest uncertainties, in particular if it was associated with erroneous latent heat flux estimates. The effect of aerodynamic conductance on G1 was sufficiently captured with a simple representation. G1 was found to be less sensitive to meteorological deviations between canopy surface and measurement height and, given that data are appropriately filtered, to non\uffe2\uff80\uff90transpirational water fluxes. Uncertainties in the derived GPP and physiological within\uffe2\uff80\uff90canopy gradients and their implications for parameter estimates at leaf and ecosystem level are discussed. Our results highlight the importance of adequately considering the sources of uncertainty outlined here when EC\uffe2\uff80\uff90derived water\uffe2\uff80\uff90use efficiency is interpreted in an ecophysiological context.</p>", "keywords": ["550", "ecophysiology", "Penman\u2013Monteith equation", "0207 environmental engineering", "577", "slope parameter", "02 engineering and technology", "Forests", "Models", " Biological", "01 natural sciences", "Trees", "Water Cycle", "XXXXXX - Unknown", "eddy covariance", "energy imbalance", "analysis of covariance", "0105 earth and related environmental sciences", "intrinsic water-use efficiency", "Water", "eddy flux", "Plant Transpiration", "Carbon Dioxide", "15. Life on land", "aerodynamic conductance", "water efficiency", "Carbon", "6. Clean water", "canopy gradients", "surface conductance", "Plant Leaves", "13. Climate action", "ecosystems"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcb.13893"}, {"href": "https://doi.org/10.1111/gcb.13893"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcb.13893", "name": "item", "description": "10.1111/gcb.13893", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcb.13893"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-10-11T00:00:00Z"}}, {"id": "10.1111/gcbb.12019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:29Z", "type": "Journal Article", "created": "2012-10-16", "title": "N2o Fluxes Of A Bio-Energy Poplar Plantation During A Two Years Rotation Period", "description": "Nitrous oxide emissions are of critical importance for the assumed climate neutrality of bio-energy. In this study we report on the N2O fluxes from a bio-energy poplar plantation measured with eddy covariance for 2years, after conversion of agricultural fields to few months after harvesting of the plantation. A pulse peak of N2O was detected after the land use change and in the wake of the first heavy rainfall. The N2O-N emission during just a single week was 2.7kg N2O-Nha(-1) which represented approximately 42% of the total N2O-N emitted during the 2years of measurements. After this peak emission, N2O fluxes were constantly rather low, not increasing after rainfall events any longer. Lowest emissions (and even N2O sink) occurred mostly during the end of the second growing season with maximum canopy development, and water table deeper than 80cm. Gross primary production (GPP) explained 68% of the monthly averaged variability in N2O emission from August to December 2011. Probably N uptake by vegetation during the peak of the second growing season limited N2O emission, which in fact increased again after the plantation was coppiced. For the majority of the measuring period, N2O fluxes did not present a well-defined diurnal pattern, with the exception of two periods: (1) from 19-22 August 2010 and (2) from September-November 2011. In both cases wind speed played a major role in controlling the diurnal pattern in these fluxes (explaining up to 80% of the diurnal variability in N2O fluxes on 19-22 August 2010), whereas at the end of the second growing season (September-November 2011), GPP explained 73% of the diurnal pattern in N2O fluxes.", "keywords": ["nitrogen budget", "Physics", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "diurnal pattern", "land-use change", "13. Climate action", "eddy covariance", "0401 agriculture", " forestry", " and fisheries", "GPP", "Biology", "Engineering sciences. Technology", "N2O sink", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12019", "name": "item", "description": "10.1111/gcbb.12019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-10-16T00:00:00Z"}}, {"id": "10.1111/nph.15123", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:18:46Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10.1111/nph.15123"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/nph.15123", "name": "item", "description": "10.1111/nph.15123", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.15123"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "10.5194/bg-14-1969-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:07Z", "type": "Journal Article", "created": "2016-11-28", "title": "Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe", "description": "<p>Abstract. Recent satellite observations of sun-induced chlorophyll fluorescence (SIF) are thought to provide a large-scale proxy for gross primary production (GPP), thus providing a new way to assess the performance of land surface models (LSMs). In this study, we assessed how well SIF is able to predict GPP in the Fenno-Scandinavian region and what potential limitations for its application exist. We implemented a SIF model into the JSBACH LSM and used active leaf level chlorophyll fluorescence measurements (ChlF) to evaluate the performance of the SIF module at a coniferous forest at Hyyti\uffc3\uffa4l\uffc3\uffa4, Finland. We also compared simulated GPP and SIF at four Finnish micrometeorological flux measurement sites to observed GPP as well as to satellite observed SIF. Finally, we conducted a regional model simulation for the Fenno-Scandinavian region with JSBACH and compared the results to SIF retrievals from the GOME-2 (Global Ozone Monitoring Experiment-2) space-borne spectrometer and to observation-based regional GPP estimates. Both observations and simulations revealed that SIF can be used to estimate GPP at both site and regional scales. The GOME-2 based SIF was a better proxy for GPP than the remotely sensed fAPAR (fraction of absorbed photosynthetic active radiation by vegetation), even though high SIF values occurred during early spring at the northern latitudes, although these are not likely to be associated with photosynthesis.                         </p>", "keywords": ["EDDY COVARIANCE", "DATA ASSIMILATION SYSTEM", "FLUX MEASUREMENTS", "SCOTS PINE FOREST", "01 natural sciences", "7. Clean energy", "Ecology", " Evolution", " Behavior and Systematics; Earth-Surface Processes", "CO2 EXCHANGE", "PHOTOSYSTEM-II", "Life", "QH501-531", "QH540-549.5", "SDG 15 - Life on Land", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "BOREAL CONIFEROUS FOREST", "BIOCHEMICAL-MODEL", "Forestry", "Geology", "15. Life on land", "TERRESTRIAL CHLOROPHYLL FLUORESCENCE", "Physical sciences", "Environmental sciences", "13. Climate action", "ITC-ISI-JOURNAL-ARTICLE", "ENERGY-BALANCE", "ITC-GOLD"]}, "links": [{"href": "https://cris.unibo.it/bitstream/11585/585578/2/bg-14-1969-2017.pdf"}, {"href": "https://bg.copernicus.org/articles/14/1969/2017/bg-14-1969-2017.pdf"}, {"href": "https://doi.org/10.5194/bg-14-1969-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-14-1969-2017", "name": "item", "description": "10.5194/bg-14-1969-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-14-1969-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-28T00:00:00Z"}}, {"id": "10.5194/bg-18-2003-2021", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:07Z", "type": "Journal Article", "created": "2021-03-19", "title": "Topography-based statistical modelling reveals high spatial variability and seasonal emission patches in forest floor methane flux", "description": "<p>Abstract. Boreal forest soils are globally an important sink for methane (CH4), while these soils are also capable of emitting CH4 under favourable conditions. Soil wetness is a well-known driver of CH4 flux, and the wetness can be estimated with several terrain indices developed for the purpose. The aim of this study was to quantify the spatial variability of the forest floor CH4 flux with a topography-based upscaling method connecting the flux with its driving factors. We conducted spatially extensive forest floor CH4 flux and soil moisture measurements, complemented by ground vegetation classification, in a boreal pine forest. We then modelled the soil moisture with a random forest model using digital-elevation-model-derived topographic indices, based on which we upscaled the forest floor CH4 flux. The modelling was performed for two seasons: May\uffe2\uff80\uff93July and August\uffe2\uff80\uff93October. Additionally, we evaluated the number of flux measurement points needed to get an accurate estimate of the flux at the whole study site merely by averaging. Our results demonstrate high spatial heterogeneity in the forest floor CH4 flux resulting from the soil moisture variability as well as from the related ground vegetation. The mean measured CH4 flux at the sample points was \uffe2\uff88\uff925.07\uffe2\uff80\uff89\uffc2\uffb5mol\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffe2\uff80\uff89h\uffe2\uff88\uff921 in May\uffe2\uff80\uff93July and \uffe2\uff88\uff928.67\uffe2\uff80\uff89\uffc2\uffb5mol\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffe2\uff80\uff89h\uffe2\uff88\uff921 in August\uffe2\uff80\uff93October, while the modelled flux for the whole area was \uffe2\uff88\uff927.42 and \uffe2\uff88\uff929.91\uffe2\uff80\uff89\uffc2\uffb5mol\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffe2\uff80\uff89h\uffe2\uff88\uff921 for the two seasons, respectively. The spatial variability in the soil moisture and consequently in the CH4 flux was higher in the early summer (modelled range from \uffe2\uff88\uff9212.3 to 6.19\uffe2\uff80\uff89\uffc2\uffb5mol\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffe2\uff80\uff89h\uffe2\uff88\uff921) compared to the autumn period (range from \uffe2\uff88\uff9214.6 to \uffe2\uff88\uff922.12\uffe2\uff80\uff89\uffc2\uffb5mol\uffe2\uff80\uff89m\uffe2\uff88\uff922\uffe2\uff80\uff89h\uffe2\uff88\uff921), and overall the CH4 uptake rate was higher in autumn compared to early summer. In the early summer there were patches emitting high amounts of CH4; however, these wet patches got drier and smaller in size towards the autumn, changing their dynamics to CH4 uptake. The mean values of the measured and modelled CH4 fluxes for the sample point locations were similar, indicating that the model was able to reproduce the results. For the whole site, upscaling predicted stronger CH4 uptake compared to simply averaging over the sample points. The results highlight the small-scale spatial variability of the boreal forest floor CH4 flux and the importance of soil chamber placement in order to obtain spatially representative CH4 flux results. To predict the CH4 fluxes over large areas more reliably, the locations of the sample points should be selected based on the spatial variability of the driving parameters, in addition to linking the measured fluxes with the parameters.                     </p>", "keywords": ["QE1-996.5", "BOREAL FEN", "Ecology", "methane", "EDDY COVARIANCE", "NITROUS-OXIDE", "Geology", "15. Life on land", "ATMOSPHERE", "01 natural sciences", "forest soils", "Environmental sciences", "SOIL", "CARBON-DIOXIDE", "TEMPERATE FOREST", "Life", "13. Climate action", "QH501-531", "CH4 EMISSIONS", "EXCHANGE", "CHAMBER", "Geosciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://bg.copernicus.org/articles/18/2003/2021/bg-18-2003-2021.pdf"}, {"href": "https://doi.org/10.5194/bg-18-2003-2021"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-18-2003-2021", "name": "item", "description": "10.5194/bg-18-2003-2021", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-18-2003-2021"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-19T00:00:00Z"}}, {"id": "10.31545/intagr/150811", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:11Z", "type": "Journal Article", "created": "2022-07-25", "title": "Estimation of evaporation and transpiration rates under varying water availability for improving crop management of soybeans uusing oxygen isotope. G", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). Knowledge of crop water requirements and the effects of management practices on the amounts of water used for crop transpiration and that lost through soil evaporation is essential for efficient agricultural water management. Therefore, this study investigated the temporal evolution of weekly evaporation and transpiration rates under varying soil water conditions in a conventionally managed soybean field by partitioning evapotranspiration based on a water and \u03b418O-stable isotope mass balance. The estimated rates were considered in combination with vertical soil water distribution, atmospheric demand (based on crop evapotranspiration), actual evapotranspiration, and the plant development stage. This allowed for the weekly rates to be compared to the current conditions resulting from dry periods, rain or irrigation events, and the extent of the canopy. The range of weekly transpiration/evapotranspiration, from blossom to maturation, was between 0.60 (\u00b10.11) and 0.82 (\u00b10.10). Within this range, transpiration/evapotranspiration shifted depending on the vertical soil water distribution and meteorological conditions. During dry soil surface periods, evaporation dropped to almost zero, whereas a wet surface layer substantially increased evaporation/evapotranspiration, even under a closed canopy. Under given conditions, the application of a few intense irrigations before the drying of the soil surface is recommended. This work was supported by the European Union\u2019s Horizon 2020 Research and Innovation Programme (Grant number 773903)(2018-2022). Peer reviewed", "keywords": ["2. Zero hunger", "Water scarcity", "13. Climate action", "Water stable isotopes", "0401 agriculture", " forestry", " and fisheries", "Eddy covariance", "04 agricultural and veterinary sciences", "15. Life on land", "Irrigation", "01 natural sciences", "6. Clean water", "Water use", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.31545/intagr/150811"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Agrophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.31545/intagr/150811", "name": "item", "description": "10.31545/intagr/150811", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.31545/intagr/150811"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-20T00:00:00Z"}}, {"id": "10.3390/rs12071181", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:20:33Z", "type": "Journal Article", "created": "2020-04-08", "title": "Multi-Scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>An accurate assessment of evapotranspiration (ET) is crucially needed at the basin scale for studying the hydrological processes and water balance especially from upstream to downstream. In the mountains, this term is poorly understood because of various challenges, including the vegetation complexity, plant diversity, lack of available data and because the in situ direct measurement of ET is difficult in complex terrain. The main objective of this work was to investigate the potential of a Two-Source-Energy-Balance model (TSEB) driven by the Landsat and MODIS data for estimating ET over a complex mountain region. The complexity is associated with the type of the vegetation canopy as well as the changes in topography. For validating purposes, a large-aperture scintillometer (LAS) was set up over a heterogeneous transect of about 1.4 km to measure sensible (H) and latent heat (LE) fluxes. Additionally, two towers of eddy covariance (EC) systems were installed along the LAS transect. First, the model was tested at the local scale against the EC measurements using multi-scale remote sensing (MODIS and Landsat) inputs at the satellite overpasses. The obtained averaged values of the root mean square error (RMSE) and correlation coefficient (R) were about 72.4 Wm\u22122 and 0.79 and 82.0 Wm\u22122 and 0.52 for Landsat and MODIS data, respectively. Secondly, the potential of the TSEB model for evaluating the latent heat fluxes at large scale was investigated by aggregating the derived parameters from both satellites based on the LAS footprint. As for the local scale, the comparison of the latent heat fluxes simulated by TSEB driven by Landsat data performed well against those measured by the LAS (R = 0.69, RMSE = 68.0 Wm\u22122), while slightly more scattering was observed when MODIS products were used (R = 0.38, RMSE = 99.8 Wm\u22122). Based on the obtained results, it can be concluded that (1) the TSEB model can be fairly used to estimate the evapotranspiration over the mountain regions; and (2) medium- to high-resolution inputs are a better option than coarse-resolution products for describing this kind of complex terrain.</p></article>", "keywords": ["covariance system", "eddy covariance system", "550", "latent heat flux; sensible heat flux; two-source energy balance; eddy covariance system; scintillometer", "Science", "Q", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "sensible heat flux", "two-source energy balance", "7. Clean energy", "01 natural sciences", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "latent heat flux", "13. Climate action", "[SDV.EE]Life Sciences [q-bio]/Ecology", "14. Life underwater", "eddy", "environment", "scintillometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/7/1181/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/7/1181/pdf"}, {"href": "https://doi.org/10.3390/rs12071181"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3390/rs12071181", "name": "item", "description": "10.3390/rs12071181", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs12071181"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-07T00:00:00Z"}}, {"id": "10.5194/bg-16-3747-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:07Z", "type": "Journal Article", "created": "2019-10-02", "title": "Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities", "description": "<p>Abstract. Evaporation (E) and transpiration (T) respond differently to ongoing changes in climate, atmospheric composition, and land use. It is difficult to partition ecosystem-scale evapotranspiration (ET) measurements into E and T, which makes it difficult to validate satellite data and land surface models. Here, we review current progress in partitioning E and T and provide a prospectus for how to improve theory and observations going forward. Recent advancements in analytical techniques create new opportunities for partitioning E and T at the ecosystem scale, but their assumptions have yet to be fully tested. For example, many approaches to partition E and T rely on the notion that plant canopy conductance and ecosystem water use efficiency exhibit optimal responses to atmospheric vapor pressure deficit (D). We use observations from 240 eddy covariance flux towers to demonstrate that optimal ecosystem response to D is a reasonable assumption, in agreement with recent studies, but more analysis is necessary to determine the conditions for which this assumption holds. Another critical assumption for many partitioning approaches is that ET can be approximated as T during ideal transpiring conditions, which has been challenged by observational studies. We demonstrate that T can exceed 95\uffe2\uff80\uff89% of ET from certain ecosystems, but other ecosystems do not appear to reach this value, which suggests that this assumption is ecosystem-dependent with implications for partitioning. It is important to further improve approaches for partitioning E and T, yet few multi-method comparisons have been undertaken to date. Advances in our understanding of carbon\uffe2\uff80\uff93water coupling at the stomatal, leaf, and canopy level open new perspectives on how to quantify T via its strong coupling with photosynthesis. Photosynthesis can be constrained at the ecosystem and global scales with emerging data sources including solar-induced fluorescence, carbonyl sulfide flux measurements, thermography, and more. Such comparisons would improve our mechanistic understanding of ecosystem water fluxes and provide the observations necessary to validate remote sensing algorithms and land surface models to understand the changing global water cycle.                     </p>", "keywords": ["550", "STOMATAL CONDUCTANCE", "0207 environmental engineering", "02 engineering and technology", "551", "01 natural sciences", "Life", "CARBONYL SULFIDE COS", "QH501-531", "SOIL-WATER", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "info:eu-repo/classification/ddc/550", "VAPOR-PRESSURE DEFICIT", "RAINFALL INTERCEPTION", "Ecology", "ddc:550", "Biology and Life Sciences", "Geology", "STABLE-ISOTOPE", "15. Life on land", "540", "6. Clean water", "SURFACE-ENERGY BALANCE", "Environmental sciences", "Earth sciences", "Ecology", " evolutionary biology", "13. Climate action", "Earth and Environmental Sciences", "NET PRIMARY PRODUCTIVITY", "WATER-USE EFFICIENCY", "Geosciences", "EDDY COVARIANCE DATA"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/3747/2019/bg-16-3747-2019.pdf"}, {"href": "https://doi.org/10.5194/bg-16-3747-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-16-3747-2019", "name": "item", "description": "10.5194/bg-16-3747-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-3747-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-01T00:00:00Z"}}, {"id": "10.5194/bg-3-571-2006", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:09Z", "type": "Journal Article", "created": "2010-04-29", "description": "<p>Abstract. Eddy covariance technique to measure CO2, water and energy fluxes between biosphere and atmosphere is widely spread and used in various regional networks. Currently more than 250 eddy covariance sites are active around the world measuring carbon exchange at high temporal resolution for different biomes and climatic conditions. In this paper a new standardized set of corrections is introduced and the uncertainties associated with these corrections are assessed for eight different forest sites in Europe with a total of 12 yearly datasets. The uncertainties introduced on the two components GPP (Gross Primary Production) and TER (Terrestrial Ecosystem Respiration) are also discussed and a quantitative analysis presented. Through a factorial analysis we find that generally, uncertainties by different corrections are additive without interactions and that the heuristic u*-correction introduces the largest uncertainty. The results show that a standardized data processing is needed for an effective comparison across biomes and for underpinning inter-annual variability. The methodology presented in this paper has also been integrated in the European database of the eddy covariance measurements.                     </p>", "keywords": ["european database of the eddy covariance measurements", "550", "net ecosystem exchange", "Molecular Biology/Biochemistry [q-bio.BM]", "[SDU.STU]Sciences of the Universe [physics]/Earth Sciences", "[SDU.ASTR] Sciences of the Universe [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "Life", "QH501-531", "[SDV.BBM.BC] Life Sciences [q-bio]/Biochemistry", " Molecular Biology/Biochemistry [q-bio.BM]", "QH540-549.5", "eddy covariance technique", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "QE1-996.5", "algorithm", "[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]", "Ecology", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "500", "Geology", "15. Life on land", "terrestrial ecosystem respiration", "gross primary production", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry", "[PHYS.ASTR.CO] Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO]", "13. Climate action", "[SDU.STU] Sciences of the Universe [physics]/Earth Sciences", "co2", "measurement", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "environment"]}, "links": [{"href": "https://doi.org/10.5194/bg-3-571-2006"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-3-571-2006", "name": "item", "description": "10.5194/bg-3-571-2006", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-3-571-2006"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2006-11-27T00:00:00Z"}}, {"id": "10.5194/hess-24-3789-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:19Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.5194/hess-24-3789-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/hess-24-3789-2020", "name": "item", "description": "10.5194/hess-24-3789-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/hess-24-3789-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10.5281/zenodo.1314194", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:44Z", "type": "Dataset", "title": "Majadas de Tietar: Ecosystem level and understorey carbon, water, and energy fluxes in a Mediterranean tree-grass ecosystem", "description": "Open Access{'references': ['Casals, P. et al., 2009. Soil CO2 efflux and extractable organic carbon fractions under simulated precipitation events in a Mediterranean Dehesa. Soil Biol. Biochem. 41, 1915 u20131922. https://doi.org/10.1016/j.soilbio.2009.06.015', 'El-Madany, T.S.,et al., 2018 (Accepted). Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem. https://doi.org/10.1016/j.agrformet.2018.07.010', 'Knauer, J., et al.,(Accepted). bigleaf - An R package for the calculation of physical and physiological ecosystem properties from eddy covariance data. PLOS ONE, doi:10.1371/journal.pone.0201114', 'Perez-Priego O,  et al., 2017. Evaluation of eddy covariance latent heat fluxes with independent lysimeter and sapflow estimates in a Mediterranean savannah ecosystem. Agricultural and Forest Meteorology. 236: 87-99. doi: 10.1016/j.agrformet.2017.01.009.', 'Wutzler, T., et al., 2018. Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences Discuss., p. 1-39.']}", "keywords": ["13. Climate action", "15. Life on land", "tree-grass ecosystem", " Dehesa", " eddy covariance", " Carbon fluxes", " Water fluxes"], "contacts": [{"organization": "Carrara, Arnaud, El-Madany, Tarek Sebastian, Lopez-Jimenez, Ramon, Hertel, Martin, Kolle, Olaf, Knauer, J\u00fcrgen, Perez-Priego, Oscar, Reichstein, Markus, Zaehle, S\u00f6nke, Migliavacca, Mirco,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.1314194"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.1314194", "name": "item", "description": "10.5281/zenodo.1314194", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.1314194"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-18T00:00:00Z"}}, {"id": "10.5281/zenodo.13739246", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:21:46Z", "type": "Dataset", "title": "Data from: Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale", "description": "Abstract  The uploaded data are relative to the investigation around (i) the carbon source/sink nature and, further, (ii) the water and carbon balances, of a drip-irrigated and mulched watermelon. The crop was cultivated under the semi-arid climate of the Apulia region, in south Italy.  The used mulching films were biodegradable as indicate by the producer; plants and some non-standard fruits were left on the soil as green manure after harvesting, thus, the experiment spanned from planting to the subsequent crop (6 months of continuous measurement from June to November 2023).   The results detailed in the original publication indicate that mulching films contribute to carbon sequestration in the soil (+19.3 gC m\u22122). However, this mulched watermelon represents a net carbon source, with a net biome exchange, as loss from ecosystems, equal to +230 gC m\u22122. This is primarily due to the substantial amount of carbon exported through marketable fruits. Fixed water scheduling led to water waste through deep percolation (approximately 1/6 of the water supplied), which also contributed to the loss of organic carbon via leaching (\u22124.3 gC m\u22122).   \u00a0  Methods  Site and crop  The field site was at the CREA-AA Research Unit experimental farm located in southern Italy (Rutigliano\u2013Bari, 41 01\u2019 N, 17\u00b001\u2019 E, altitude 147 m a.s.l.)., characterized by a Mediterranean semi-arid climate (average annual rainfall of 535 mm). The soil is classified as Lithic Rhodoxeralf, with a clay texture, stable structure, shallow profile (0.6\u20131.1 m) and rapid drainage due to an underlying cracked limestone subsoil. The SOC content averages around 12.0 g kg\u22121. The field capacity and the permanent wilting point volumetric water contents are 0.36 and 0.21 m3 m\u22123, respectively; with a bulk density of 1.15 Mg m\u22123, the available soil water ranges from 80 to 140 mm.  The studied watermelon crop (seedless var. Lion king), followed a broccoli cabbage crop harvested in April and partially incorporated (0.81 kg m\u22122 of fresh biomass in a soil layer depth of 0.30 m, corresponding to 0.69 kgH2O m\u22122) as green manure on 25 May 2023. Main tillage at medium depth ploughing (0.30 m) and seedbed preparation were performed between 25 and 30 May 2023; the biodegradable film mulch (model PC 100 d8, BASF, Italy, 1 m width) was applied on 1 June 2023. On the same day, driplines (2.1 Lh\u22121 emitters, 0.60 m apart) and the main organic fertilization (Orga-Kem 6.11.8 + 11CaO, 300 kg ha\u22121) were also applied. The watermelon plants were transplanted on 9 June at a spacing of 2.70 m between rows and 1 m between plants, covering an area of about 4.0 ha, with a density of approximately 3200 plants ha\u22121. Every 6 rows, the inter-row distance was 5 m to facilitate machinery passage. The first irrigation was performed the day before planting. Crop management adhered to the usual treatments in the area including mechanical weed removal every 4 weeks, irrigation around three times per week to maintain optimal soil water conditions and monthly fertigation (ammonium sulphate 50 kg ha\u22121, magnesium nitrate 30 kg ha\u22121, calcium nitrate 60 kg ha\u22121, mycorrhizae 20 kg ha\u22121). The scalar harvest of marketable fruits occurred between 28 and 31 August 2023. After harvesting, on 25 September 2023, the fresh plant residues (0.6 kg m\u22122 of fresh biomass, corresponding to 0.49 kgH2O m\u22122), unharvested fruits (4.0 kg m\u22122 of fresh material, corresponding to 3.7 kgH2O m\u22122) and the mulching film were chopped by a tractor shredder and ploughed in two steps, on 2 and 13 October 2023, to a soil depth of 0.30 m. Measurements concluded at the end of November 2023, when tillage for the new winter crop commenced.  \u00a0  Measurements of H2O and CO2 fluxes; partitioning in evaporation, transpiration, photosynthesis and respiration  The eddy covariance technique was employed to monitor water vapor (H2O) and carbon dioxide (CO2) fluxes. The equipment comprised a three-dimensional sonic anemometer (uSonic 3 Scientific, Metek GmbH, 25337 Elmshorn, Germany) and a fast response open-path infrared gas analyzer (LI-7500, Li-COR Inc., Lincoln, NE, USA). The three wind components, sonic temperature and atmospheric concentrations of CO2 and H2O were continuously measured at 1.5 m above the crop canopy, with the sensor height adjusted to follow crop growth, reaching a maximum of 1.75 m.   Data were recorded at a frequency of 10 Hz on a dedicated computer using the MeteoFlux software (Servizi Territorio, S.n.c., Cinisello Balsamo, Italy) and were stored on an hourly scale. Post-processing and computation of hourly fluxes of H2O (mmol m\u22122 s\u22121) and CO2 (\u03bcmol m\u22122 s\u22121) were conducted using EddyPro software, v7.0.9 (http://www.licor.com/eddypro), applying 60 min block averaging, double coordinate rotation, the statistical test, the maximum cross-covariance method, and the WPL density correction.  H2O and CO2 fluxes were partitioned into transpiration, evaporation, photosynthesis and respiration, respectively, using the flux variance similarity method. This method utilizes the Monin\u2013Obukhov similarity theory to separate stomatal (photosynthesis, Fp, and transpiration, Ft) from non-stomatal (respiration, Fr, and evaporation, Fe) processes (Palatella et al., 2014). the H2O and CO2 EC fluxes were partitioned using an adaptation of the code in Phyton provided by (Skaggs et al., 2018) and downloaded from \u00a0https://github.com/usda-arsussl/fluxpart (V0.2.10).", "keywords": ["CO2 fluxes", "phosynthesis", "evapotranspiration", "watermelon", "eddy covariance", "trans\u00e8piration", "respiration", "evaporation"], "contacts": [{"organization": "Rana, Gianfranco, Ferrara, Rossana Monica,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.13739246"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.13739246", "name": "item", "description": "10.5281/zenodo.13739246", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.13739246"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-10T00:00:00Z"}}, {"id": "3091208561", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:08Z", "type": "Journal Article", "created": "2020-10-05", "title": "Performance of the HYDRUS-1D model for water balance components assessment of irrigated winter wheat under different water managements in semi-arid region of Morocco", "description": "Abstract   The main goal of this research was to evaluate the potential of the HYDRUS-1D numerical model for estimating the soil moisture (\u03b8) at different depths, actual crop evapotranspiration (ETa) and its components (crop transpiration, Ta and soil evaporation, Ea) as well as the deep percolation (DP) of irrigated winter wheat under different water managements in the semi-arid region of Tensift-basin (central Morocco). The HYDRUS-1D simulations were performed at daily time step during the two growing seasons: 2002/2003 and 2015/2016.  The model was firstly calibrated based on one field \u201cdenoted F1\u201d data during the 2002/2003 cropping season by using the Levenberg-Marquardt method implemented in HYDRUS-1D model for optimizing various parameters of Van Genuchten equation that provide the minimum difference between measured and simulated soil moisture at four layers of soil (0\u20135, 5\u201310, 10\u201320, 20\u201330, 30\u201350\u00a0cm). Afterwards, the model validation was done based on the data from four fields of wheat: two fields \u201cdenoted F2 and F3\u201d during the 2002/2003 and two other fields \u201cdenoted F4 and F5\u201d during the 2015/2016 cropping season. All fields were irrigated with flooding system except the field F5 where drip irrigation was undertaken. In-situ measurements of \u03b8 was carried out using Time Domain Reflectometry (TDR) and gravimetric method ETa was measured by the Eddy Covariance system Ta and Ea were monitored using a lysimeter in F5 field. The results showed that the HYDRUS-1D model simulates the \u03b8, ETa, Ta and Ea reasonably well.  Additionally, the evaluation of the irrigation system on DP losses was investigated by comparing the simulation results over flood (F4) and drip (F5) irrigated fields. It was found that about 56% and 20% of seasonal supplied water were lost by DP in F4 and F5 sites, respectively. Such unexpected high amount of DP taking place in F5 field is due to the improper use of the drip irrigation system.", "keywords": ["690", "0106 biological sciences", "2. Zero hunger", "550", "Evapotranspiration", "[SDE.IE]Environmental Sciences/Environmental Engineering", "0207 environmental engineering", "[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Eddy covariance", "02 engineering and technology", "15. Life on land", "deep percolation", "01 natural sciences", "6. Clean water", "winter wheat", "Winter wheat", "[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture", "Deep percolation", "[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology", "[SDE.IE] Environmental Sciences/Environmental Engineering", "[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology", "Eddy Covariance", "HYDRUS-1D"]}, "links": [{"href": "https://doi.org/3091208561"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agricultural%20Water%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3091208561", "name": "item", "description": "3091208561", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3091208561"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-02-01T00:00:00Z"}}, {"id": "10.60692/khb9k-9s285", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:26Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.</p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/10.60692/khb9k-9s285"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/khb9k-9s285", "name": "item", "description": "10.60692/khb9k-9s285", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/khb9k-9s285"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}, {"id": "10044/1/59029", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:41Z", "type": "Journal Article", "created": "2018-03-31", "title": "Quantifying soil moisture impacts on light use efficiency across biomes", "description": "Summary<p>   <p>Terrestrial primary productivity and carbon cycle impacts of droughts are commonly quantified using vapour pressure deficit (VPD) data and remotely sensed greenness, without accounting for soil moisture. However, soil moisture limitation is known to strongly affect plant physiology.</p>  <p>Here, we investigate light use efficiency, the ratio of gross primary productivity (GPP) to absorbed light. We derive its fractional reduction due to soil moisture (fLUE), separated from VPD and greenness changes, using artificial neural networks trained on eddy covariance data, multiple soil moisture datasets and remotely sensed greenness.</p>  <p>This reveals substantial impacts of soil moisture alone that reduce GPP by up to 40% at sites located in sub\uffe2\uff80\uff90humid, semi\uffe2\uff80\uff90arid or arid regions. For sites in relatively moist climates, we find, paradoxically, a muted fLUE response to drying soil, but reduced fLUE under wet conditions.</p>  <p>fLUE identifies substantial drought impacts that are not captured when relying solely on VPD and greenness changes and, when seasonally recurring, are missed by traditional, anomaly\uffe2\uff80\uff90based drought indices. Counter to common assumptions, fLUE reductions are largest in drought\uffe2\uff80\uff90deciduous vegetation, including grasslands. Our results highlight the necessity to account for soil moisture limitation in terrestrial primary productivity data products, especially for drought\uffe2\uff80\uff90related assessments.</p>  </p", "keywords": ["Time Factors", "550", "vapour pressure deficit", "Light", "Vapor Pressure", "Rain", "Eddy covariance", "02 engineering and technology", "01 natural sciences", "630", "Ecological applications", "Soil", "drought impacts", "Vapour pressure deficit", "Photosynthesis", "drought impacts; eddy covariance; gross primary productivity (GPP); light use efficiency; photosynthesis; soil moisture; standardized precipitation index; vapour pressure deficit (VPD)", "Plant biology", "2. Zero hunger", "Light use efficiency", "Ecology", "gross primary productivity (GPP)", "Biological Sciences", "6. Clean water", "Droughts", "Climate change impacts and adaptation", "gross primary productivity", "Neural Networks", "Plant Biology & Botany", "Drought impacts", "vapour pressure deficit (VPD)", "0207 environmental engineering", "Computer", "eddy covariance", "light use efficiency", "Ecosystem", "0105 earth and related environmental sciences", "photosynthesis", "Agricultural and Veterinary Sciences", "Research", "Gross primary productivity ()", "Water", "Humidity", "Plant Transpiration", "06 Biological Sciences", "15. Life on land", "standardized precipitation index", "13. Climate action", "vapour pressure deficit (VPD", "Standardized precipitation index", "07 Agricultural And Veterinary Sciences", "Soil moisture", "Neural Networks", " Computer", "soil moisture", "Climate Change Impacts and Adaptation", "Environmental Sciences"]}, "links": [{"href": "https://nph.onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15123"}, {"href": "https://escholarship.org/content/qt3sb2745c/qt3sb2745c.pdf"}, {"href": "https://doi.org/10044/1/59029"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/New%20Phytologist", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10044/1/59029", "name": "item", "description": "10044/1/59029", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10044/1/59029"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-31T00:00:00Z"}}, {"id": "10261/278604", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:48Z", "type": "Journal Article", "created": "2022-07-25", "title": "Estimation of evaporation and transpiration rates under varying water availability for improving crop management of soybeans using oxygen isotope ratios of pore water", "description": "Project Co-ordinators: Dr. Jose Alfonso G\u00f3mez Calero (Instituto de Agricultura Sostenible (IAS-CISC), Dr. Weifeng Xu (Fujian Agriculture and Forest University, FAFU). Knowledge of crop water requirements and the effects of management practices on the amounts of water used for crop transpiration and that lost through soil evaporation is essential for efficient agricultural water management. Therefore, this study investigated the temporal evolution of weekly evaporation and transpiration rates under varying soil water conditions in a conventionally managed soybean field by partitioning evapotranspiration based on a water and \u03b418O-stable isotope mass balance. The estimated rates were considered in combination with vertical soil water distribution, atmospheric demand (based on crop evapotranspiration), actual evapotranspiration, and the plant development stage. This allowed for the weekly rates to be compared to the current conditions resulting from dry periods, rain or irrigation events, and the extent of the canopy. The range of weekly transpiration/evapotranspiration, from blossom to maturation, was between 0.60 (\u00b10.11) and 0.82 (\u00b10.10). Within this range, transpiration/evapotranspiration shifted depending on the vertical soil water distribution and meteorological conditions. During dry soil surface periods, evaporation dropped to almost zero, whereas a wet surface layer substantially increased evaporation/evapotranspiration, even under a closed canopy. Under given conditions, the application of a few intense irrigations before the drying of the soil surface is recommended. This work was supported by the European Union\u2019s Horizon 2020 Research and Innovation Programme (Grant number 773903)(2018-2022). Peer reviewed", "keywords": ["2. Zero hunger", "Water scarcity", "Water stable isotopes", "Eddy covariance", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "Irrigation", "Water use", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10261/278604"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Agrophysics", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10261/278604", "name": "item", "description": "10261/278604", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10261/278604"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-20T00:00:00Z"}}, {"id": "10568/135827", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:23:59Z", "type": "Journal Article", "created": "2023-10-15", "title": "Global observation gaps of peatland greenhouse gas balances: needs and obstacles", "description": "Abstract           <p>Greenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.</p", "keywords": ["Atmospheric sciences", "tourbi\u00e8re", "Chamber ; CH ; Article ; Eddy covariance ; Land use ; N ; CO", "t\u00e9l\u00e9d\u00e9tection", "Carbon Dynamics in Peatland Ecosystems", "Eddy covariance", "01 natural sciences", "Importance of Mangrove Ecosystems in Coastal Protection", "11. Sustainability", "http://aims.fao.org/aos/agrovoc/c_5083", "Climate change", "gaz \u00e0 effet de serre", "http://aims.fao.org/aos/agrovoc/c_34841", "http://aims.fao.org/aos/agrovoc/c_12457", "http://aims.fao.org/aos/agrovoc/c_6498", "changement climatique", "Global and Planetary Change", "Ecology", "instrument de mesure", "Geology", "[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces", " environment", "http://aims.fao.org/aos/agrovoc/c_2482", "http://aims.fao.org/aos/agrovoc/c_4221", "http://aims.fao.org/aos/agrovoc/c_4182", "Physical Sciences", "http://aims.fao.org/aos/agrovoc/c_4668", "http://aims.fao.org/aos/agrovoc/c_1556", "environment", "P02 - Pollution", "570", "http://aims.fao.org/aos/agrovoc/c_13929", "P40 - M\u00e9t\u00e9orologie et climatologie", "\u00e9cosyst\u00e8me", "Greenhouse gas", "utilisation des terres", "Article", "Environmental science", "Methane Emissions", "Impact of Climate Change on Forest Wildfires", "dioxyde de carbone", "greenhouse gases", "http://aims.fao.org/aos/agrovoc/c_1302", "http://aims.fao.org/aos/agrovoc/c_1666", "Biology", "peatlands", "Ecosystem", "Land use", " land-use change and forestry", "0105 earth and related environmental sciences", "[SDU.OCEAN]Sciences of the Universe [physics]/Ocean", "mesure (activit\u00e9)", "Atmosphere", "[SDU.OCEAN] Sciences of the Universe [physics]/Ocean", " Atmosphere", "Peat", "FOS: Earth and related environmental sciences", "15. Life on land", "carbon sequestration", "Global Emissions", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Land use", "[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces", "distribution g\u00e9ographique"]}, "links": [{"href": "https://doi.org/10568/135827"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10568/135827", "name": "item", "description": "10568/135827", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10568/135827"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-10-15T00:00:00Z"}}, {"id": "3015719051", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:25:05Z", "type": "Journal Article", "created": "2020-04-08", "title": "Multi-Scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>An accurate assessment of evapotranspiration (ET) is crucially needed at the basin scale for studying the hydrological processes and water balance especially from upstream to downstream. In the mountains, this term is poorly understood because of various challenges, including the vegetation complexity, plant diversity, lack of available data and because the in situ direct measurement of ET is difficult in complex terrain. The main objective of this work was to investigate the potential of a Two-Source-Energy-Balance model (TSEB) driven by the Landsat and MODIS data for estimating ET over a complex mountain region. The complexity is associated with the type of the vegetation canopy as well as the changes in topography. For validating purposes, a large-aperture scintillometer (LAS) was set up over a heterogeneous transect of about 1.4 km to measure sensible (H) and latent heat (LE) fluxes. Additionally, two towers of eddy covariance (EC) systems were installed along the LAS transect. First, the model was tested at the local scale against the EC measurements using multi-scale remote sensing (MODIS and Landsat) inputs at the satellite overpasses. The obtained averaged values of the root mean square error (RMSE) and correlation coefficient (R) were about 72.4 Wm\u22122 and 0.79 and 82.0 Wm\u22122 and 0.52 for Landsat and MODIS data, respectively. Secondly, the potential of the TSEB model for evaluating the latent heat fluxes at large scale was investigated by aggregating the derived parameters from both satellites based on the LAS footprint. As for the local scale, the comparison of the latent heat fluxes simulated by TSEB driven by Landsat data performed well against those measured by the LAS (R = 0.69, RMSE = 68.0 Wm\u22122), while slightly more scattering was observed when MODIS products were used (R = 0.38, RMSE = 99.8 Wm\u22122). Based on the obtained results, it can be concluded that (1) the TSEB model can be fairly used to estimate the evapotranspiration over the mountain regions; and (2) medium- to high-resolution inputs are a better option than coarse-resolution products for describing this kind of complex terrain.</p></article>", "keywords": ["covariance system", "eddy covariance system", "550", "latent heat flux; sensible heat flux; two-source energy balance; eddy covariance system; scintillometer", "Science", "Q", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "sensible heat flux", "two-source energy balance", "01 natural sciences", "7. Clean energy", "[SDV.EE] Life Sciences [q-bio]/Ecology", " environment", "latent heat flux", "13. Climate action", "[SDV.EE]Life Sciences [q-bio]/Ecology", "14. Life underwater", "eddy", "environment", "scintillometer", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/12/7/1181/pdf"}, {"href": "https://www.mdpi.com/2072-4292/12/7/1181/pdf"}, {"href": "https://doi.org/3015719051"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "3015719051", "name": "item", "description": "3015719051", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/3015719051"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-07T00:00:00Z"}}, {"id": "2980519968", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-24T16:24:58Z", "type": "Journal Article", "created": "2020-07-27", "title": "Evapotranspiration partition using the multiple energy balance version of the ISBA-A-gs land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco)", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. The main objective of this work is to question the representation of the energy budget in soil\u2013vegetation\u2013atmosphere transfer\u00a0(SVAT) models for the prediction of the turbulent fluxes in the case of irrigated crops with a complex structure (row) and under strong transient hydric regimes due to irrigation. To this end, the Interaction between Soil, Biosphere, and Atmosphere\u00a0(ISBA-A-gs) is evaluated at a complex open olive orchard and, for the purposes of comparison, on a winter wheat field taken as an example of a homogeneous canopy. The initial version of ISBA-A-gs, based on a composite energy budget (hereafter ISBA-1P for one\u00a0patch), is compared to the new multiple energy balance\u00a0(MEB) version of ISBA that represents a double source arising from the vegetation located above the soil layer. In addition, a patch representation corresponding to two adjacent, uncoupled source schemes (hereafter ISBA-2P for two\u00a0patches) is also considered for the olive orchard. Continuous observations of evapotranspiration\u00a0(ET), with an eddy covariance system and plant transpiration\u00a0(Tr) with sap flow and isotopic methods were used to evaluate the three representations. A preliminary sensitivity analyses showed a strong sensitivity to the parameters related to turbulence in the canopy introduced in the new ISBA\u2013MEB version. For wheat, the ability of the single- and dual-source configuration to reproduce the composite soil\u2013vegetation heat fluxes was very similar; the root mean square error (RMSE) differences between ISBA-1P, ISBA-2P and ISBA\u2013MEB did not exceed 10\u2009W\u2009m\u22122 for the latent heat flux. These results showed that a composite energy balance in homogeneous covers is sufficient to reproduce the total convective fluxes. The two configurations are also fairly close to the isotopic observations of transpiration in spite of a light underestimation (overestimation) of ISBA-1P\u00a0(ISBA\u2013MEB). At the olive orchard, contrasting results are obtained. The dual-source configurations, including both the uncoupled\u00a0(ISBA-2P) and the coupled\u00a0(ISBA\u2013MEB) representations, outperformed the single-source version\u00a0(ISBA-1P), with slightly better results for ISBA\u2013MEB in predicting both total heat fluxes and evapotranspiration partition. Concerning plant transpiration in particular, the coupled approach ISBA\u2013MEB provides better results than ISBA-1P and, to a lesser extent, ISBA-2P with RMSEs of\u00a01.60, 0.90, and 0.70\u2009mm\u2009d\u22121 and R2\u00a0of\u00a00.43, 0.69, and\u00a00.70\u00a0for ISBA-1P, ISBA-2P and ISBA\u2013MEB, respectively. In addition, it is shown that the acceptable predictions of composite convective fluxes by ISBA-2P for the olive orchard are obtained for the wrong reasons as neither of the two patches is in agreement with the observations because of a bad spatial distribution of the roots and a lack of incoming radiation screening for the bare soil patch. This work shows that composite convection fluxes predicted by the SURFace EXternalis\u00e9e (SURFEX) platform and the partition of evapotranspiration in a highly transient regime due to irrigation is improved for moderately open tree canopies by the new coupled dual-source ISBA\u2013MEB model. It also points out the need for further local-scale evaluations on different crops of various geometry (more open rainfed agriculture or a denser, intensive olive orchard) to provide adequate parameterisation to global database, such as ECOCLIMAP-II, in the view of a global application of the ISBA\u2013MEB model.                     </p></article>", "keywords": ["Technology", "Atmospheric Science", "Atmospheric sciences", "550", "[SDV]Life Sciences [q-bio]", "0207 environmental engineering", "02 engineering and technology", "Energy balance", "Eddy covariance", "Environmental technology. Sanitary engineering", "01 natural sciences", "Environmental science", "G", "Meteorology", "Geography. Anthropology. Recreation", "GE1-350", "Biology", "TD1-1066", "Ecosystem", "0105 earth and related environmental sciences", "Soil science", "2. Zero hunger", "Global and Planetary Change", "Evapotranspiration", "Ecology", "Global Forest Drought Response and Climate Change", "T", "Causes and Impacts of Climate Change Over Millennia", "Physics", "Hydrology (agriculture)", "Geology", "FOS: Earth and related environmental sciences", "15. Life on land", "Agronomy", "[SDV] Life Sciences [q-bio]", "Environmental sciences", "Earth and Planetary Sciences", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Global Drought Monitoring and Assessment", "Leaf area index", "Thermodynamics", "Global Vegetation Models"]}, "links": [{"href": "https://doi.org/2980519968"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrology%20and%20Earth%20System%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2980519968", "name": "item", "description": "2980519968", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2980519968"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-10-15T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Eddy+covariance&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Eddy+covariance&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Eddy+covariance&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Eddy+covariance&offset=33", "hreflang": "en-US"}], "numberMatched": 33, "numberReturned": 33, "distributedFeatures": [], "timeStamp": "2026-05-25T03:00:38.827178Z"}