{"type": "FeatureCollection", "features": [{"id": "10.1016/j.earscirev.2022.104055", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:16:24Z", "type": "Journal Article", "created": "2022-05-12", "title": "The uncertain role of rising atmospheric CO2 on global plant transpiration", "description": "As CO2 concentration in the atmosphere rises, there is a need for improved physical understanding of its impact on global plant transpiration. This knowledge gap poses a major hurdle in robustly projecting changes in the global hydrologic cycle. For this reason, here we review the different processes by which atmospheric CO2 concentration affects plant transpiration, the several uncertainties related to the complex physiological and radiative processes involved, and the knowledge gaps which need to be filled in order to improve predictions of plant transpiration. Although there is a high degree of certainty that rising CO2 will impact plant transpiration, the exact nature of this impact remains unclear due to complex interactions between CO2 and climate, and key aspects of plant morphology and physiology. The interplay between these factors has substantial consequences not only for future climate and global vegetation, but also for water availability needed for sustaining the productivity of terrestrial ecosystems. Future changes in global plant transpiration in response to enhanced CO2 are expected to be driven by water availability, atmospheric evaporative demand, plant physiological processes, emergent plant disturbances related to increasing temperatures, and the modification of plant physiology and coverage. Considering the universal sensitivity of natural and agricultural systems to terrestrial water availability we argue that reliable future projections of transpiration is an issue of the highest priority, which can only be achieved by integrating monitoring and modeling efforts to improve the representation of CO2 effects on plant transpiration in the next generation of earth system models. \u00a9 2022 The Authors", "keywords": ["0301 basic medicine", "2. Zero hunger", "VAPOR-PRESSURE DEFICIT", "COMMUNITY LAND MODEL", "DECIDUOUS FOREST TREES", "TROPICAL RAIN-FOREST", "EARTH SYSTEM MODELS", "STOMATAL CONDUCTANCE", "Earth system models", "15. Life on land", "01 natural sciences", "6. Clean water", "Transpiration", "03 medical and health sciences", "DYNAMIC VEGETATION MODELS", "13. Climate action", "Earth and Environmental Sciences", "MOJAVE DESERT SHRUBS", "Climate change", "CO2", "ELEVATED CO2", "Atmospheric water demand", "WATER-USE EFFICIENCY", "Projections", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.earscirev.2022.104055"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Earth-Science%20Reviews", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.earscirev.2022.104055", "name": "item", "description": "10.1016/j.earscirev.2022.104055", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.earscirev.2022.104055"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-07-01T00:00:00Z"}}, {"id": "10.1016/j.agee.2003.12.008", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:15:48Z", "type": "Journal Article", "created": "2004-02-05", "title": "Effects Of Forest Conversion To Pasture On Soil Carbon Content And Dynamics In Brazilian Amazonia", "description": "Abstract   Soils play an important role in the carbon cycle, and deforestation in the tropics affects both soil carbon storage and CO2 release into the atmosphere. The consequences of deforestation and conversion to pasture for soil carbon content and dynamics were examined in two soil types differing mainly by their texture. Two chronosequences were selected, each consisting of an intact forest and three pastures of different ages (4, 8, 15 years and 3, 9, 15 years, respectively). One chronosequence is located in the central part of the Brazilian Amazon basin, where the soils are clayey ferralsols, and the second in the Eastern Brazilian Amazon Basin, where the soils are sandy clayey acrisols. In the upper layer the C content of clayey soils was three times higher than in the sandy soils, but despite the differences in soil texture, the C distribution in the particle-size fractions was quite similar. In the two chronosequences, the conversion to pasture induced a slight increase in C content. Bulk density increases were greater on soils with lower clay contents. The       13   C    measurements, which allowed to calculate the distribution of C derived from forest and from pasture, showed that all the particle-size fractions incorporated C derived from pasture and that a significant proportion of the young organic matter is rapidly trapped in the finest fractions. Although the proportions of pasture-derived C were higher in the sandy soils than in the clayey soils, the amounts of pasture-derived C in the particle-size fractions were 2\u20133 times larger in the clayey soils than in the sandy soils.", "keywords": ["rain-forest", "550", "ZONE TROPICALE", "c-13 natural abundance", "TEXTURE", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "630", "Carbon Cycle", "C-13 isotope", "Amazonia", "EVOLUTION DES SOLS SOUS CULTURE", "STRUCTURE DU SOL", "soil carbon storage", "particle-size fractions", "Pasture", "cultivated oxisols", "ANALYSE ISOTOPIQUE", "SABLE", "eastern amazonia", "Deforestation", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Acrisol", "2. Zero hunger", "tropical soils Organic-matter dynamics", "Brasil", "size-fractions", "PATURAGE", "turnover", "Soil Carbon", "04 agricultural and veterinary sciences", "South America", "15. Life on land", "CARBONE ORGANIQUE", "STOCK ORGANIQUE", "ARGILE", "0401 agriculture", " forestry", " and fisheries", "DEFORESTATION", "texture"], "contacts": [{"organization": "Desjardins, T., Barros, E., Sarrazin, M., Girardin, C., Mariotti, A.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.agee.2003.12.008"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agriculture%2C%20Ecosystems%20%26amp%3B%20Environment", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.agee.2003.12.008", "name": "item", "description": "10.1016/j.agee.2003.12.008", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.agee.2003.12.008"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-07-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2007.11.013", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:16:45Z", "type": "Journal Article", "created": "2008-01-14", "title": "Beyond Reduced-Impact Logging: Silvicultural Treatments To Increase Growth Rates Of Tropical Trees", "description": "Abstract   Use of reduced-impact logging (RIL) techniques has repeatedly been shown to reduce damage caused by logging. Unfortunately, these techniques do not necessarily ameliorate the low growth rates of many commercial species or otherwise assure recovery of the initial volume harvested during the next cutting cycle. In this study, we analyze the effect of logging and application of additional silvicultural treatments (liana cutting and girdling of competing trees) on the growth rates on trees in general and on of future crop trees (FCTs) of 24 commercial timber species. The study was carried out in a moist tropical forest in Bolivia, where we monitored twelve 27-ha plots for 4 years. Plots received one of four treatments in which logging intensity and silvicultural treatments were varied: control (no logging); normal (reduced-impact) logging; normal logging and low-intensity silviculture; and, increased logging intensity and high-intensity silviculture. Tree growth rates increased with intensity of logging and silvicultural treatments. The growth rates of FCTs of commercial species were 50\u201360% higher in plots that received silvicultural treatments than in the normal logging and control plots. Responses to silvicultural treatments varied among functional groups. The largest increase in growth rates was observed in FCTs belonging to the partially shade-tolerant and the shade-tolerant groups. These results indicate that silvicultural treatments, in addition to the use of RIL techniques, are more likely to result in a higher percentage of timber volume being recovered after the first cutting cycle than RIL alone.", "keywords": ["tropical forest", "0106 biological sciences", "Bolivia", "dry forest", "rain-forest", "Sustainable forest management", "01 natural sciences", "Tropical forest", "reduced-impact logging", "bolivia", "580", "silvicultural treatments", "04 agricultural and veterinary sciences", "15. Life on land", "sustainable forest management", "Reduced-impact logging", "Silvicultural treatments", "sustainable forestry", "trade-offs", "regeneration", "timber production", "0401 agriculture", " forestry", " and fisheries", "brazilian amazon", "Environmental Sciences", "management", "eastern amazon"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2007.11.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecology%20and%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.foreco.2007.11.013", "name": "item", "description": "10.1016/j.foreco.2007.11.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2007.11.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-09-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2007.03.012", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-30T16:17:26Z", "type": "Journal Article", "created": "2007-04-24", "title": "Soil Carbon Turnover And Sequestration In Native Subtropical Tree Plantations", "description": "Approximately 30% of global soil organic carbon (SOC) is stored in subtropical and tropical ecosystems but it is being rapidly lost due to continuous deforestation. Tree plantations are advocated as a C sink, however, little is known about rates of C turnover and sequestration into soil organic matter under subtropical and tropical tree plantations. We studied changes in SOC in a chronosequence of hoop pine (Araucaria cwunninghamii) plantations established on former rainforest sites in seasonally dry subtropical Australia. SOC, delta C-13, and light fraction organic C (LF C < 1.6 g cm(-3)) Were determined in plantations, secondary rainforest and pasture. We calculated loss of rainforest SOC after clearing for pasture using an isotope mixing model, and used the decay rate of rainforest-derived C to predict input of hoop pine-derived C into the soil. Total SOC stocks to 100 cm depth were significantly (P < 0.01) higher under rainforest (241 t ha(-1)) and pasture (254 t ha(-1)) compared to hoop pine (176-211 t ha(-1)). We calculated that SOC derived from hoop pine inputs ranged from 32% (25 year plantation) to 61% (63 year plantation) of total SOC in the 0-30 cm soil layer, but below 30 cm all C originated from rainforest. These results were compared to simulations made by the Century soil organic matter model. The Century model Simulations showed that lower C stocks under hoop pine plantations were due to reduced C inputs to the slow turnover C pool, such that this pool only recovers to within 45% of the original rainforest C pool after 63 years. This may indicate differences in soil C stabilization mechanisms under hoop pine plantations compared with rainforest and pasture. These results demonstrate that subtropical hoop pine plantations do not rapidly sequester SOC into long-term storage pools, and that alternative plantation systems may need to be investigated to achieve greater soil C sequestration. (c) 2007 Elsevier Ltd. All rights reserved.", "keywords": ["Araucaria", "C-13", "Soil Science", "Land-use Change", "Storage", "Puerto-rico", "Century model", "01 natural sciences", "C1", "light fraction carbon", "Pasture", "300103 Soil Chemistry", "Southern Queensland", "Rain-forest", "0105 earth and related environmental sciences", "tree plantations", "Organic-matter Dynamics", "770702 Land and water management", "04 agricultural and veterinary sciences", "15. Life on land", "Long-term Trends", "carbon sequestration", "soil organic carbon", "Forest Conversion", "Continuous Cultivation", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2007.03.012"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2007.03.012", "name": "item", "description": "10.1016/j.soilbio.2007.03.012", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2007.03.012"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-08-01T00:00:00Z"}}, {"id": "10.1016/j.soilbio.2014.02.003", "type": "Feature", "geometry": null, "properties": {"license": "Restricted", "updated": "2026-05-30T16:17:33Z", "type": "Journal Article", "created": "2014-02-18", "title": "Productivity Affects The Density-Body Mass Relationship Of Soil Fauna Communities", "description": "The productivity of ecosystems and their disturbance regime affect the structure of animal communities. However, it is not clear which trophic levels benefit the most from higher productivity or are the most impacted by disturbance. The density-body mass (DBM) relationship has been shown to reflect changes in the structure of communities subjected to environmental modifications, so far, mainly in aquatic systems. We tested how different seawater inundation frequencies and cattle grazing, which both disturbed and impacted the productivity of a terrestrial system, a salt marsh, affected the size structure of soil fauna communities, expressed by their DBM relationship. We hypothesized that either: (1) all the trophic levels of soil fauna would benefit from higher productivity (i.e., amount of litter mass), reflected by a higher Y-intercept of the DBM relationship; (2) only smaller animals would benefit, reflected by a lower slope of the relationship; (3) or only larger animals would benefit, reflected by a higher slope of the relationship. We collected a large range of soil fauna from different elevation levels in grazed and ungrazed areas, thence subjected to different levels of productivity, represented by litter mass, with the most inundated and grazed area as the least productive one. Considering that pore size must be smaller in inundated and grazed areas, productivity seemed to be a greater factor influencing species distribution than soil structure. We found slopes lower than-0.75, showing that large animals dominated the community. However, a difference between the DBM relationships of the most and least frequently inundated ungrazed sites indicated that higher productivity benefited the smaller animals. Our findings show that high productivity does not equally affect the different trophic levels of this soil fauna community, suggesting inefficient transfers of energy from one trophic level to another, as smaller species benefitted more from higher productivity. \u00a9 2014 Elsevier Ltd.", "keywords": ["population-density", "0106 biological sciences", "abundance", "plant-species richness", "rain-forest", "size relationships", "energetic equivalence rule", "intermediate disturbance hypothesis", "15. Life on land", "01 natural sciences", "forest mull", "salt-marsh", "13. Climate action", "food webs", "SDG 14 - Life Below Water"]}, "links": [{"href": "https://doi.org/10.1016/j.soilbio.2014.02.003"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Soil%20Biology%20and%20Biochemistry", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.soilbio.2014.02.003", "name": "item", "description": "10.1016/j.soilbio.2014.02.003", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.soilbio.2014.02.003"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2014-05-01T00:00:00Z"}}, {"id": "10.3390/rs10101601", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:21:57Z", "type": "Journal Article", "created": "2018-10-09", "title": "Sensitivity of Evapotranspiration Components in Remote Sensing-Based Models", "description": "<p>Accurately estimating evapotranspiration (ET) at large spatial scales is essential to our understanding of land-atmosphere coupling and the surface balance of water and energy. Comparisons between remote sensing-based ET models are difficult due to diversity in model formulation, parametrization and data requirements. The constituent components of ET have been shown to deviate substantially among models as well as between models and field estimates. This study analyses the sensitivity of three global ET remote sensing models in an attempt to isolate the error associated with forcing uncertainty and reveal the underlying variables driving the model components. We examine the transpiration, soil evaporation, interception and total ET estimates of the Penman-Monteith model from the Moderate Resolution Imaging Spectroradiometer (PM-MOD), the Priestley-Taylor Jet Propulsion Laboratory model (PT-JPL) and the Global Land Evaporation Amsterdam Model (GLEAM) at 42 sites where ET components have been measured using field techniques. We analyse the sensitivity of the models based on the uncertainty of the input variables and as a function of the raw value of the variables themselves. We find that, at 10% added uncertainty levels, the total ET estimates from PT-JPL, PM-MOD and GLEAM are most sensitive to Normalized Difference Vegetation Index (NDVI) (%RMSD = 100.0), relative humidity (%RMSD = 122.3) and net radiation (%RMSD = 7.49), respectively. Consistently, systemic bias introduced by forcing uncertainty in the component estimates is mitigated when components are aggregated to a total ET estimate. These results suggest that slight changes to forcing may result in outsized variation in ET partitioning and relatively smaller changes to the total ET estimates. Our results help to explain why model estimates of total ET perform relatively well despite large inter-model divergence in the individual ET component estimates.</p>", "keywords": ["550", "Science", "TROPICAL RAIN-FOREST", "0208 environmental biotechnology", "evapotranspiration", "0207 environmental engineering", "02 engineering and technology", "interception", "SOIL-MOISTURE", "transpiration", "modelling", "partitioning", "soil evaporation", "uncertainty", "DROUGHT", "evapotranspiration; modelling; sensitivity; uncertainty; transpiration; soil evaporation; interception; partitioning", "CLIMATE-CHANGE", "Q", "Biology and Life Sciences", "PLANT TRANSPIRATION", "sensitivity", "6. Clean water", "CHIHUAHUAN DESERT", "GLOBAL TERRESTRIAL EVAPOTRANSPIRATION", "13. Climate action", "Earth and Environmental Sciences", "LAND EVAPORATION", "WATER-BALANCE", "FEEDBACKS", "[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]", "[PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]"]}, "links": [{"href": "http://www.mdpi.com/2072-4292/10/10/1601/pdf"}, {"href": "https://doi.org/10.3390/rs10101601"}, {"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/rs10101601", "name": "item", "description": "10.3390/rs10101601", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3390/rs10101601"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-10-09T00:00:00Z"}}, {"id": "10.1088/1748-9326/aaeae7", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:18:57Z", "type": "Journal Article", "created": "2018-10-24", "title": "Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling", "description": "Open AccessA wide range of research shows that nutrient availability strongly influences terrestrial carbon (C) cycling and shapes ecosystem responses to environmental changes and hence terrestrial feedbacks to climate. Nonetheless, our understanding of nutrient controls remains far from complete and poorly quantified, at least partly due to a lack of informative, comparable, and accessible datasets at regional-to-global scales. A growing research infrastructure of multi-site networks are providing valuable data on C fluxes and stocks and are monitoring their responses to global environmental change and measuring responses to experimental treatments. These networks thus provide an opportunity for improving our understanding of C-nutrient cycle interactions and our ability to model them. However, coherent information on how nutrient cycling interacts with observed C cycle patterns is still generally lacking. Here, we argue that complementing available C-cycle measurements from monitoring and experimental sites with data characterizing nutrient availability will greatly enhance their power and will improve our capacity to forecast future trajectories of terrestrial C cycling and climate. Therefore, we propose a set of complementary measurements that are relatively easy to conduct routinely at any site or experiment and that, in combination with C cycle observations, can provide a robust characterization of the effects of nutrient availability across sites. In addition, we discuss the power of different observable variables for informing the formulation of models and constraining their predictions. Most widely available measurements of nutrient availability often do not align well with current modelling needs. This highlights the importance to foster the interaction between the empirical and modelling communities for setting future research priorities.", "keywords": ["Global vegetation models", "550", "manipulation experiments", "Terrestrial-Aquatic Linkages", "Kolefni", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "SDG 13 - Climate Action", "Climate change", "Jar\u00f0vegur", "Environmental resource management", "Global change", "General Environmental Science", "SDG 15 - Life on Land", "Carbon-nutrient cycle interactions", "2. Zero hunger", "Data syntheses", "Global and Planetary Change", "Ecology", "Geography", "Physics", "Life Sciences", "Application of Stable Isotopes in Trophic Ecology", "Cycling", "Carbon cycle", "04 agricultural and veterinary sciences", "Chemistry", "ORGANIC-MATTER", "Archaeology", "Physical Sciences", "Nutrient availability", "NET PRIMARY PRODUCTIVITY", "Ecosystem Functioning", "570", "LAND", "TROPICAL RAIN-FOREST", "carbon-nutrient cycle interactions", "data syntheses", "Soil Science", "Environmental science", "[SDU] Sciences of the Universe [physics]", "SOIL-PHOSPHORUS AVAILABILITY", "global vegetation models", "SDG 3 - Good Health and Well-being", "nutrients", "USE EFFICIENCY", "SDG 7 - Affordable and Clean Energy", "GLOBAL CHANGE", "Key (lock)", "Biology", "Ecosystem", "Manipulation experiments", "0105 earth and related environmental sciences", "Renewable Energy", " Sustainability and the Environment", "Ecosystem Structure", "Public Health", " Environmental and Occupational Health", "Nutrients", "15. Life on land", "Computer science", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "ECOSYSTEM RESPONSES", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "NITROGEN-FIXATION", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient Limitation", "ELEVATED CO2", "Nutrient"]}, "links": [{"href": "https://doi.org/10.1088/1748-9326/aaeae7"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1088/1748-9326/aaeae7", "name": "item", "description": "10.1088/1748-9326/aaeae7", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1088/1748-9326/aaeae7"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-07T00:00:00Z"}}, {"id": "10.1111/nph.20401", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:19:50Z", "type": "Journal Article", "created": "2025-01-17", "title": "Insights into the subdaily variations in methane, nitrous oxide and carbon dioxide fluxes from upland tropical tree stems", "description": "Summary<p> <p>Recent studies have shown that stem fluxes, although highly variable among trees, can alter the strength of the methane (CH4) sink or nitrous oxide (N2O) source in some forests, but the patterns and magnitudes of these fluxes remain unclear. This study investigated the drivers of subdaily and seasonal variations in stem and soil CH4, N2O and carbon dioxide (CO2) fluxes.</p> <p>CH4, N2O and CO2 fluxes were measured continuously for 19\uffe2\uff80\uff89months in individual stems of two tree species, Eperua falcata (Aubl.) and Lecythis poiteaui (O. Berg), and surrounding soils using an automated chamber system in an upland tropical forest. Subdaily variations in these fluxes were related to environmental and stem physiological (sap flow and stem diameter variations) measurements under contrasting soil water conditions.</p> <p>The results showed that physiological and climatic drivers only partially explained the subdaily flux variations. Stem CH4 and CO2 emissions and N2O uptake varied with soil water content, time of day and between individuals. Stem fluxes decoupled from soil fluxes.</p> <p>Our study contributes to understanding the regulation of stem greenhouse gas fluxes. It suggests that additional variables (e.g. internal gas concentrations, wood\uffe2\uff80\uff90colonising microorganisms, wood density and anatomy) may account for the remaining unexplained variability in stem fluxes, highlighting the need for further studies.</p> </p", "keywords": ["rain-forest", "tree stem", "Nitrous Oxide", "spatial variation", "soil", "Trees", "Soil", "climate", "Biology", "Tropical Climate", "nitrous oxide", "subdaily variations", "Plant Stems", "methane", "exchange", "emissions", "temperature", "carbon dioxide", "Water", "Carbon Dioxide", "co2 efflux rates", "flux", "upland tropical forest", "soil co2", "living trees", "Seasons", "Methane", "respiration"], "contacts": [{"organization": "La\u00ebtitia M. Br\u00e9chet, Roberto L. Salom\u03ccn, Katerina Machacova, Cl\u00e9ment Stahl, Beno\u00eet Burban, Jean\u2010Yves Goret, Kathy Steppe, Damien Bonal, Ivan A. Janssens,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1111/nph.20401"}, {"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.20401", "name": "item", "description": "10.1111/nph.20401", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/nph.20401"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-17T00:00:00Z"}}, {"id": "10.5194/bg-16-785-2019", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:22:38Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.                     </p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "land-use change", "Life", "QH501-531", "Meteorology & Atmospheric Sciences", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "chamber measurements", "Climate Change Impacts and Adaptation", "Environmental Sciences", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10.5194/bg-16-785-2019"}, {"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-16-785-2019", "name": "item", "description": "10.5194/bg-16-785-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-16-785-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "10067/1574910151162165141", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:25:42Z", "type": "Journal Article", "created": "2019-02-12", "title": "Automatic high-frequency measurements of full soil greenhouse gas fluxes in a tropical forest", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Measuring in situ soil fluxes of carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) continuously at high frequency requires appropriate technology. We tested the combination of a commercial automated soil CO2 flux chamber system (LI-8100A) with a CH4 and N2O analyzer (Picarro G2308) in a tropical rainforest for 4\u00a0months. A chamber closure time of 2\u2009min was sufficient for a reliable estimation of CO2 and CH4 fluxes (100\u2009% and 98.5\u2009% of fluxes were above minimum detectable flux \u2013 MDF, respectively). This closure time was generally not suitable for a reliable estimation of the low N2O fluxes in this ecosystem but was sufficient for detecting rare major peak events. A closure time of 25\u2009min was more appropriate for reliable estimation of most N2O fluxes (85.6\u2009% of measured fluxes are above MDF\u2009\u00b1\u20090.002\u2009nmol\u2009m\u22122\u2009s\u22121). Our study highlights the importance of adjusted closure time for each gas.</p></article>", "keywords": ["rain-forest", "nitrous-oxide", "Environmental management", "550", "[SDV]Life Sciences [q-bio]", "spatial variation", "01 natural sciences", "630", "Meteorology & Atmospheric Sciences (science-metrix)", "3103 Ecology (for-2020)", "land-use change", "Life", "QH501-531", "4101 Climate Change Impacts and Adaptation (for-2020)", "Meteorology & Atmospheric Sciences", "04 Earth Sciences (for)", "biogeochemical controls", "Physical geography and environmental geoscience", "Biology", "QH540-549.5", "0105 earth and related environmental sciences", "QE1-996.5", "31 Biological Sciences (for-2020)", "41 Environmental Sciences (for-2020)", "Ecology", "Physics", "n2o", "emissions", "land-use change ; nitrous-oxide ; rain-forest ;biogeochemical controls ; chamber measurements ; spatial variation ; co2 ;emissions; n2o ; respiration", "Geology", "04 agricultural and veterinary sciences", "Biological Sciences", "15. Life on land", "4104 Environmental management (for-2020)", "06 Biological Sciences (for)", "Climate Action", "[SDV] Life Sciences [q-bio]", "Chemistry", "13. Climate action", "Earth Sciences", "co2", "0401 agriculture", " forestry", " and fisheries", "13 Climate Action (sdg)", "chamber measurements", "Climate Change Impacts and Adaptation", "3709 Physical geography and environmental geoscience (for-2020)", "Environmental Sciences", "05 Environmental Sciences (for)", "respiration"]}, "links": [{"href": "https://bg.copernicus.org/articles/16/785/2019/bg-16-785-2019.pdf"}, {"href": "https://escholarship.org/content/qt73p9116t/qt73p9116t.pdf"}, {"href": "https://doi.org/10067/1574910151162165141"}, {"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": "10067/1574910151162165141", "name": "item", "description": "10067/1574910151162165141", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10067/1574910151162165141"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-08-15T00:00:00Z"}}, {"id": "11104/0365439", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:06Z", "type": "Journal Article", "created": "2025-01-17", "title": "Insights into the subdaily variations in methane, nitrous oxide and carbon dioxide fluxes from upland tropical tree stems", "description": "Summary<p> <p>Recent studies have shown that stem fluxes, although highly variable among trees, can alter the strength of the methane (CH4) sink or nitrous oxide (N2O) source in some forests, but the patterns and magnitudes of these fluxes remain unclear. This study investigated the drivers of subdaily and seasonal variations in stem and soil CH4, N2O and carbon dioxide (CO2) fluxes.</p> <p>CH4, N2O and CO2 fluxes were measured continuously for 19\uffe2\uff80\uff89months in individual stems of two tree species, Eperua falcata (Aubl.) and Lecythis poiteaui (O. Berg), and surrounding soils using an automated chamber system in an upland tropical forest. Subdaily variations in these fluxes were related to environmental and stem physiological (sap flow and stem diameter variations) measurements under contrasting soil water conditions.</p> <p>The results showed that physiological and climatic drivers only partially explained the subdaily flux variations. Stem CH4 and CO2 emissions and N2O uptake varied with soil water content, time of day and between individuals. Stem fluxes decoupled from soil fluxes.</p> <p>Our study contributes to understanding the regulation of stem greenhouse gas fluxes. It suggests that additional variables (e.g. internal gas concentrations, wood\uffe2\uff80\uff90colonising microorganisms, wood density and anatomy) may account for the remaining unexplained variability in stem fluxes, highlighting the need for further studies.</p> </p", "keywords": ["rain-forest", "tree stem", "Nitrous Oxide", "spatial variation", "soil", "Trees", "Soil", "[SDV.GEN.GPL] Life Sciences [q-bio]/Genetics/Plants genetics", "climate", "Biology", "Tropical Climate", "nitrous oxide", "subdaily variations", "Plant Stems", "methane", "exchange", "emissions", "temperature", "carbon dioxide", "Water", "Carbon Dioxide", "co2 efflux rates", "flux", "upland tropical forest", "soil co2", "living trees", "Seasons", "Methane", "respiration"]}, "links": [{"href": "https://doi.org/11104/0365439"}, {"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": "11104/0365439", "name": "item", "description": "11104/0365439", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/11104/0365439"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-01-17T00:00:00Z"}}, {"id": "20.500.11815/1261", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-05-30T16:26:37Z", "type": "Journal Article", "created": "2018-10-24", "title": "Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling", "description": "Open AccessA wide range of research shows that nutrient availability strongly influences terrestrial carbon (C) cycling and shapes ecosystem responses to environmental changes and hence terrestrial feedbacks to climate. Nonetheless, our understanding of nutrient controls remains far from complete and poorly quantified, at least partly due to a lack of informative, comparable, and accessible datasets at regional-to-global scales. A growing research infrastructure of multi-site networks are providing valuable data on C fluxes and stocks and are monitoring their responses to global environmental change and measuring responses to experimental treatments. These networks thus provide an opportunity for improving our understanding of C-nutrient cycle interactions and our ability to model them. However, coherent information on how nutrient cycling interacts with observed C cycle patterns is still generally lacking. Here, we argue that complementing available C-cycle measurements from monitoring and experimental sites with data characterizing nutrient availability will greatly enhance their power and will improve our capacity to forecast future trajectories of terrestrial C cycling and climate. Therefore, we propose a set of complementary measurements that are relatively easy to conduct routinely at any site or experiment and that, in combination with C cycle observations, can provide a robust characterization of the effects of nutrient availability across sites. In addition, we discuss the power of different observable variables for informing the formulation of models and constraining their predictions. Most widely available measurements of nutrient availability often do not align well with current modelling needs. This highlights the importance to foster the interaction between the empirical and modelling communities for setting future research priorities.", "keywords": ["Global vegetation models", "550", "manipulation experiments", "Terrestrial-Aquatic Linkages", "Kolefni", "01 natural sciences", "Nutrient cycle", "Agricultural and Biological Sciences", "Terrestrial ecosystem", "SDG 13 - Climate Action", "Climate change", "Jar\u00f0vegur", "Environmental resource management", "Global change", "General Environmental Science", "SDG 15 - Life on Land", "Carbon-nutrient cycle interactions", "2. Zero hunger", "Data syntheses", "Global and Planetary Change", "Ecology", "Geography", "Physics", "Life Sciences", "Application of Stable Isotopes in Trophic Ecology", "Cycling", "Carbon cycle", "04 agricultural and veterinary sciences", "Chemistry", "ORGANIC-MATTER", "Archaeology", "Physical Sciences", "Nutrient availability", "NET PRIMARY PRODUCTIVITY", "Ecosystem Functioning", "570", "LAND", "TROPICAL RAIN-FOREST", "carbon-nutrient cycle interactions", "data syntheses", "Soil Science", "Environmental science", "[SDU] Sciences of the Universe [physics]", "SOIL-PHOSPHORUS AVAILABILITY", "global vegetation models", "SDG 3 - Good Health and Well-being", "nutrients", "USE EFFICIENCY", "SDG 7 - Affordable and Clean Energy", "GLOBAL CHANGE", "Key (lock)", "Biology", "Ecosystem", "Manipulation experiments", "0105 earth and related environmental sciences", "Renewable Energy", " Sustainability and the Environment", "Ecosystem Structure", "Public Health", " Environmental and Occupational Health", "Nutrients", "15. Life on land", "Computer science", "[SDU]Sciences of the Universe [physics]", "13. Climate action", "ECOSYSTEM RESPONSES", "FOS: Biological sciences", "Global Methane Emissions and Impacts", "Environmental Science", "0401 agriculture", " forestry", " and fisheries", "NITROGEN-FIXATION", "Soil Carbon Dynamics and Nutrient Cycling in Ecosystems", "Nutrient Limitation", "ELEVATED CO2", "Nutrient"]}, "links": [{"href": "https://doi.org/20.500.11815/1261"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Research%20Letters", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.11815/1261", "name": "item", "description": "20.500.11815/1261", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.11815/1261"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-12-07T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Rain-forest&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=Rain-forest&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=Rain-forest&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Rain-forest&offset=12", "hreflang": "en-US"}], "numberMatched": 12, "numberReturned": 12, "distributedFeatures": [], "timeStamp": "2026-05-30T17:21:14.467540Z"}