Changes in fire regime of boreal forests in response to climate warming are expected to impact postfire recovery. However, quantitative data on how managed forests sustain and recover from recent fire disturbance are limited.
Two years after a large wildfire in managed even\uffe2\uff80\uff90aged boreal forests in Sweden, we investigated how recovery of aboveground and belowground communities, that is, understory vegetation and soil microbial and faunal communities, responded to variation in the severity of soil (i.e., consumption of soil organic matter) and canopy fires (i.e., tree mortality).
While fire overall enhanced diversity of understory vegetation through colonization of fire adapted plant species, it reduced the abundance and diversity of soil biota. We observed contrasting effects of tree\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related fire severity on survival and recovery of understory vegetation and soil biological communities. Severe fires that killed overstory Pinus sylvestris promoted a successional stage dominated by the mosses Ceratodon purpureus and Polytrichum juniperinum, but reduced regeneration of tree seedlings and disfavored the ericaceous dwarf\uffe2\uff80\uff90shrub Vaccinium vitis\uffe2\uff80\uff90idaea and the grass Deschampsia flexuosa. Moreover, high tree mortality from fire reduced fungal biomass and changed fungal community composition, in particular that of ectomycorrhizal fungi, and reduced the fungivorous soil Oribatida. In contrast, soil\uffe2\uff80\uff90related fire severity had little impact on vegetation composition, fungal communities, and soil animals. Bacterial communities responded to both tree\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related fire severity.
Synthesis: Our results 2\uffe2\uff80\uff89years postfire suggest that a change in fire regime from a historically low\uffe2\uff80\uff90severity ground fire regime, with fires that mainly burns into the soil organic layer, to a stand\uffe2\uff80\uff90replacing fire regime with a high degree of tree mortality, as may be expected with climate change, is likely to impact the short\uffe2\uff80\uff90term recovery of stand structure and above\uffe2\uff80\uff90 and belowground species composition of even\uffe2\uff80\uff90aged P.\uffe2\uff80\uff89sylvestris boreal forests.
Management of mixedwoods is advocated as an effective adaptation strategy to increase ecosystem resiliency in the context of climate change. Although mixedwoods have been shown to have greater resource use efficiency relative to pure stands, considerable uncertainty remains with respect to the underlying ecological processes. We explored species interactions in Scots pine/European beech mixedwoods with the process\uffe2\uff80\uff90based model FORECAST Climate. The model was calibrated for two contrasting forests in the southwestern Pyrenees (northern Spain): a wet Mediterranean site at 625\uffc2\uffa0m.a.s.l. and a subalpine site at 1335\uffc2\uffa0m.a.s.l. Predicted mixedwood yield was higher than that for beech stands but lower than pine stands. When simulating climate change, mixedwood yield was reduced at the Mediterranean site (\uffe2\uff88\uff9233%) but increased at the subalpine site (+11%). Interaction effects were enhanced as stands developed. Complementarity dominated the Mediterranean stand but neutral or net competition dominated the subalpine stand, which had higher stand density and water availability. Reduced water demand and consumption, increased canopy interception, and improved water\uffe2\uff80\uff90use efficiency in mixtures compared to beech stands, suggest a release of beech intraspecific competition. Beech also facilitated pine growth through better litter quality, nonsymbiotic nitrogen fixation, and above\uffe2\uff80\uff90 and belowground stratification, leading to higher foliar nitrogen content and deeper canopies in pines. In conclusion, mixtures may improve water availability and use efficiency for beech and light interception for pine, the main limiting factors for each species, respectively. Encouraging pine\uffe2\uff80\uff93beech mixtures could be an effective adaptation to climate change in drought\uffe2\uff80\uff90prone sites in the Mediterranean region.", "keywords": ["0106 biological sciences", "2. Zero hunger", "Interspecific competition", "13. Climate action", "Fagus sylvatica", "Mixedwoods", "Pinus sylvestris", "15. Life on land", "Species complementarity", "Intraspecific competition", "01 natural sciences", "6. Clean water", "Ecological modelling"]}, "links": [{"href": "https://onlinelibrary.wiley.com/doi/pdf/10.1002/eco.1810"}, {"href": "https://doi.org/10.1002/eco.1810"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Ecohydrology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/eco.1810", "name": "item", "description": "10.1002/eco.1810", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/eco.1810"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-01-25T00:00:00Z"}}, {"id": "10.1007/bf00418673", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:21Z", "type": "Journal Article", "created": "2004-11-09", "title": "Wood-Ash Fertilization And Fire Treatments In A Scots Pine Forest Stand: Effects On The Organic Layer, Microbial Biomass, And Microbial Activity", "description": "We studied the reactions of humus layer (F/H) microbial respiratory activity, microbial biomass C, and the fungal biomass, measured as the soil ergosterol content, to the application of three levels of wood ash (1000, 2500, and 5000 kg ha-1) and to fire treatment in a Scots pine (Pinus sylvestris L.) stand. Physicochemical measurements (pH, organic matter content, extractable and total C content, NH 4 + and total N content, cation-exchange capacity, base saturation) showed similarity between the fire-treated plots and those treated with the lowest dose of wood ash (1000 kg ha-1). The ash application did not change the level of microbial biomass C or fungal ergosterol when compared to the control, being around 7500 and 350 \u03bcg g-1 organic matter for the biomass C and ergosterol, respectively. The fire treatment lowered the values of both biomass measurements to about half that of the control values. The fire treatment caused a sevenfold fall in the respiration rate of fieldmoist soil to 1.8 \u03bcl h-1 g-1 organic matter compared to the values of the control or ash treatments. However, in the same soils adjusted to a water-holding capacity of 60%, the differences between the fire treatment and the control were diminished, and the ash-fertilized plots were characterized by a higher respiration rate compared to the control plots. The glucose-induced respiration reacted in the same way as the water-adjusted soil respiration. The metabolic quotient, qCO2, gradually increased from the control level with increasing applications of ash, reaching a maximum in the fire treatment. Nitrification was not observed in the treatment plots.", "keywords": ["maaper\u00e4n respiraatio", "580", "havumets\u00e4t", "570", "Pinus sylvestris", "nitrifikaatio", "04 agricultural and veterinary sciences", "humus", "15. Life on land", "6. Clean water", "ergosteroli", "metabolia", "kasvualustan indusoima respira", "0401 agriculture", " forestry", " and fisheries"], "contacts": [{"organization": "Fritze, H., Smolander, A., Levula, T., Kitunen, V., M\u00e4lk\u00f6nen, E.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/bf00418673"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biology%20and%20Fertility%20of%20Soils", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/bf00418673", "name": "item", "description": "10.1007/bf00418673", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/bf00418673"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1994-01-01T00:00:00Z"}}, {"id": "10.1007/s00572-015-0655-2", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:14:38Z", "type": "Journal Article", "created": "2015-07-25", "title": "The Ectomycorrhizal Community Of Conifer Stands On Peat Soils 12 Years After Fertilization With Wood Ash", "description": "We studied long-term effects of fertilization with wood ash on biomass, vitality and mycorrhizal colonization of fine roots in three conifer forest stands growing in Vacciniosa turf. mel. (V), Myrtillosa turf. mel. (M) and Myrtillosa turf. mel./Caricoso-phragmitosa (MC) forest types on peat soils. Fertilization trials amounting 5 kg/m(2) of wood ash were established 12 years prior to this study. A total of 63 soil samples with roots were collected and analysed. Ectomycorrhizal (ECM) fungi in roots were identified by morphotyping and sequencing of the fungal internal transcribed spacer (ITS) region. In all forest types, fine root biomass was higher in fertilized plots than in control plots. In M forest type, proportion of living fine roots was greater in fertilized plots than in control plots, while in V and MC, the result was opposite. Fifty ECM species were identified, of which eight were common to both fertilized and control plots. Species richness and Shannon diversity index were generally higher in fertilized plots than in control plots. The most common species in fertilized plots were Amphinema byssoides (17.8%) and Tuber cf. anniae (12.2%), while in control plots, it was Tylospora asterophora (18.5%) and Lactarius tabidus (20.3%). Our results showed that forest fertilization with wood ash has long-lasting effect on diversity and composition of ECM fungal communities.", "keywords": ["0106 biological sciences", "570", "forest fertilization", "m\u00e4nty", "Molecular Sequence Data", "organic soils", "fine roots", "Plant Roots", "01 natural sciences", "630", "mets\u00e4nlannoitus", "Mycorrhizae", "ectomycorrhizae", "DNA", " Ribosomal Spacer", "Muut aihealueet", "DNA", " Fungal", "2. Zero hunger", "Picea abies", "Pinus sylvestris", "Sequence Analysis", " DNA", "04 agricultural and veterinary sciences", "15. Life on land", "Biota", "hienojuuret", "kuusi", "Tracheophyta", "eloper\u00e4iset maat", "0401 agriculture", " forestry", " and fisheries", "ektomykorritsa"]}, "links": [{"href": "https://doi.org/10.1007/s00572-015-0655-2"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Mycorrhiza", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s00572-015-0655-2", "name": "item", "description": "10.1007/s00572-015-0655-2", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s00572-015-0655-2"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-07-26T00:00:00Z"}}, {"id": "10.1016/j.envpol.2008.04.009", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:40Z", "type": "Journal Article", "created": "2008-05-28", "title": "Influence Of Solar Uv Radiation On The Nitrogen Metabolism In Needles Of Scots Pine (Pinus Sylvestris L.)", "description": "Needles of 20-year-old Scots pine (Pinus sylvestris L.) saplings were studied in an ultraviolet (UV) exclusion field experiment (from 2000 to 2002) in northern Finland (67 degrees N). The chambers held filters that excluded both UV-B and UV-A, excluded UV-B only, transmitted all UV (control), or lacked filters (ambient). UV-B/UV-A exclusion decreased nitrate reductase (NR) activity of 1-year-old needles of Scots pines compared to the controls. The proportion of free amino acids varied in the range 1.08-1.94% of total proteins, and was significantly higher in needles of saplings grown under UV-B/UV-A exclusion compared to the controls or UV-B exclusion. NR activity correlated with air temperature, indicating a 'chamber effect'. The study showed that both UV irradiance and increasing temperature are significant modulators of nitrogen (N) metabolism in Scots pine needles.", "keywords": ["0106 biological sciences", "0301 basic medicine", "Air Pollutants", "Ecology", "Nitrogen", "Ultraviolet Rays", "typpimetabolia", "rasvahapot", "Temperature", "Pinus sylvestris", "01 natural sciences", "UV-s\u00e4teily", "subarktiset alueet", "nitraattireduktaasi", "Plant Leaves", "03 medical and health sciences", "Seedlings", "l\u00e4mp\u00f6tila", "Seasons", "Finland"]}, "links": [{"href": "https://doi.org/10.1016/j.envpol.2008.04.009"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Environmental%20Pollution", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.envpol.2008.04.009", "name": "item", "description": "10.1016/j.envpol.2008.04.009", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.envpol.2008.04.009"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2008-12-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2004.07.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:48Z", "type": "Journal Article", "created": "2004-08-26", "title": "Thinning Intensity And Growth Of Scots Pine Stands In Finland", "description": "Abstract The effects of thinning intensity on the growth and yield of Scots pine (Pinus sylvestris L.) were investigated in long-term thinning experiments on mineral soil sites in southern and central Finland. The measurement period was on an average 25 years, and the thinning intensity ranged from heavy thinning (42% of basal area removed) to no thinning. Total stem volume increment and merchantable volume produced per ha were the highest on the unthinned plots, but light thinning (", "keywords": ["runkotilavuuden kasvu", "0106 biological sciences", "l\u00e4pimitan kasvu", "0401 agriculture", " forestry", " and fisheries", "Pinus sylvestris", "harvennus", "04 agricultural and veterinary sciences", "15. Life on land", "pituuskasvu", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2004.07.016"}, {"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.2004.07.016", "name": "item", "description": "10.1016/j.foreco.2004.07.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2004.07.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-11-01T00:00:00Z"}}, {"id": "10.1016/j.foreco.2011.02.004", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:16:53Z", "type": "Journal Article", "created": "2011-03-09", "title": "Does Tree Species Composition Control Soil Organic Carbon Pools In Mediterranean Mountain Forests?", "description": "We compared soil organic carbon (SOC) stocks and stability under two widely distributed tree species in the Mediterranean region Scots pine (Pinus sylvestris L.) and Pyrenean oak (Quercus pyrenaica Willd.) at their ecotone. We hypothesised that soils under Scots pine store more SOC and that tree species composition controls the amount and biochemical composition of organic matter inputs, but does not influence physico-chemical stabilization of SOC. At three locations in Central Spain, we assessed SOC stocks in the forest floor and down to 50cm in the mineral in pure and mixed stands of Pyrenean oak and Scots pine, as well as litterfall inputs over approximately 3 years at two sites. The relative SOC stability in the topsoil (0-10cm) was determined through size-fractionation (53\u03bcm) into mineral-associated and particulate organic matter and through KMnO4-reactive C and soil CN ratio.Scots pine soils stored 95-140Mgha-1 of C (forest floor plus 50cm mineral soil), roughly the double than Pyrenean oak soils (40-80Mgha-1 of C), with stocks closely correlated to litterfall rates. Differences were most pronounced in the forest floor and uppermost 10cm of the mineral soil, but remained evident in the deeper layers. Biochemical indicators of soil organic matter suggested that biochemical recalcitrance of soil organic matter was higher under pine than under oak, contributing as well to a greater SOC storage under pine. Differences in SOC stocks between tree species were mainly due to the particulate organic matter (not associated to mineral particles). Forest conversion from Pyrenean oak to Scots pine may contribute to enhance soil C sequestration, but only in form of mineral-unprotected soil organic matter. \u00a9 2011 Elsevier B.V.", "keywords": ["Quercus pyrenaica", "Soil organic carbon", "Mediterranean mountain", "Ecotone", "0401 agriculture", " forestry", " and fisheries", "Pinus sylvestris", "04 agricultural and veterinary sciences", "15. Life on land", "Soil organic matter size-fractionation"]}, "links": [{"href": "https://doi.org/10.1016/j.foreco.2011.02.004"}, {"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.2011.02.004", "name": "item", "description": "10.1016/j.foreco.2011.02.004", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.foreco.2011.02.004"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-01T00:00:00Z"}}, {"id": "10.1111/gcb.17516", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:59Z", "type": "Journal Article", "created": "2024-09-24", "title": "Phosphorus limitation promotes soil carbon storage in a boreal forest exposed to long\u2010term nitrogen fertilization", "description": "AbstractForests play a crucial role in global carbon cycling by absorbing and storing significant amounts of atmospheric carbon dioxide. Although boreal forests contribute to approximately 45% of the total forest carbon sink, tree growth and soil carbon sequestration are constrained by nutrient availability. Here, we examine if long\uffe2\uff80\uff90term nutrient input enhances tree productivity and whether this leads to carbon storage or whether stimulated microbial decomposition of organic matter limits soil carbon accumulation. Over six decades, nitrogen, phosphorus, and calcium were supplied to a Pinus sylvestris\uffe2\uff80\uff90dominated boreal forest. We found that nitrogen fertilization alone or together with calcium and/or phosphorus increased tree biomass production by 50% and soil carbon sequestration by 65% compared to unfertilized plots. However, the nonlinear relationship observed between tree productivity and soil carbon stock across treatments suggests microbial regulation. When phosphorus was co\uffe2\uff80\uff90applied with nitrogen, it acidified the soil, increased fungal biomass, altered microbial community composition, and enhanced biopolymer degradation capabilities. While no evidence of competition between ectomycorrhizal and saprotrophic fungi has been observed, key functional groups with the potential to reduce carbon stocks were identified. In contrast, when nitrogen was added without phosphorus, it increased soil carbon sequestration because microbial activity was likely limited by phosphorus availability. In conclusion, the addition of nitrogen to boreal forests may contribute to global warming mitigation, but this effect is context dependent. Methane emissions from plant foliage may play an important role in the global methane cycle, but their size and the underlying source processes remain poorly understood. Here, we quantify methane fluxes from the shoots of Scots pine trees, a dominant tree species in boreal forests, to identify source processes and environmental drivers, and we evaluate whether these fluxes can be constrained at the ecosystem-level by eddy covariance flux measurements. We show that shoot-level measurements conducted in forest, garden, or greenhouse settings; on mature trees and saplings; manually and with an automated CO 2 -, temperature-, and water-controlled chamber system; and with multiple methane analyzers all resulted in comparable daytime fluxes (0.144 \uffc2\uffb1 0.019 to 0.375 \uffc2\uffb1 0.074 nmol CH 4 g \uffe2\uff88\uff921 foliar d.w. h \uffe2\uff88\uff921 ). We further find that these emissions exhibit a pronounced diurnal cycle that closely follows photosynthetically active radiation and is further modulated by temperature. These diurnal patterns indicate that methane production is associated with diurnal cycle of sunlight, indicating that this production is either a byproduct of photosynthesis-associated biochemical reactions (e.g., the methionine cycle) or produced through nonenzymatic photochemical reactions in plant biomass. Moreover, we identified a light-dependent component in stand-level methane fluxes, which showed order-of-magnitude agreement with shoot-level measurements (0.968 \uffc2\uffb1 0.031 nmol CH 4 g \uffe2\uff88\uff921 h \uffe2\uff88\uff921 ) and which provides an upper limit for shoot methane emissions. silver birch > Scots pine. Short root SRA increased with site fertility in all species. In Norway spruce, fine root biomass and number of root tips per m(2) decreased from north to south. The differences in morphological parameters among sites were significant but smaller than the site differences in fine root biomass and number of root tips.", "keywords": ["580", "Estonia", "0106 biological sciences", "570", "sopeutumisstrategiat", "Picea abies", "Pinus sylvestris", "04 agricultural and veterinary sciences", "15. Life on land", "Adaptation", " Physiological", "Plant Roots", "01 natural sciences", "juurten pituus", "Species Specificity", "hienojuuribiomassa", "Betula pendula", "0401 agriculture", " forestry", " and fisheries", "Picea", "Weather", "Betula", "Ecosystem", "Finland"], "contacts": [{"organization": "Ostonen, I., L\u00f5hmus, K., Helmisaari, H.-S., Truu, J., Meel, S.,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1093/treephys/27.11.1627"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tree%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/treephys/27.11.1627", "name": "item", "description": "10.1093/treephys/27.11.1627", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/treephys/27.11.1627"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2007-11-01T00:00:00Z"}}, {"id": "10.1093/treephys/tpn046", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:36Z", "type": "Journal Article", "created": "2009-01-28", "title": "Morphological And Physiological Responses Of Scots Pine Fine Roots To Water Supply In A Dry Climatic Region In Switzerland", "description": "In recent decades, Scots pine (Pinus sylvestris L.) forests in inner-Alpine dry valleys of Switzerland have suffered from drought and elevated temperatures, resulting in a higher mortality rate of trees than the mean mortality rate in Switzerland. We investigated the responses of fine roots (standing crop, morphological and physiological features) to water supply in a Scots pine forest in the Rhone valley. Before irrigation started in 2003, low- and high-productivity Scots pine trees were selected based on their crown transparency. The fine root standing crop measured in spring from 2003 to 2005 was unaffected by the irrigation treatment. However, irrigation significantly enhanced the fine root standing crop during the vegetation period when values from spring were compared with values from fall in 2005. Irrigation slightly increased specific root length but decreased root tissue density. Fine root O2-consumption capacity decreased slightly in response to the irrigation treatment. Using ingrowth cores to observe the responses of newly produced fine roots, irrigation had a significantly positive effect on the length of fine roots, but there were no differences between the low- and high-productivity trees. In contrast to the weak response of fine roots to irrigation, the aboveground parts responded positively to irrigation with more dense crowns. The lack of a marked response of the fine root biomass to irrigation in the low- and high-productivity trees suggests that fine roots have a high priority for within-tree carbon allocation.", "keywords": ["0106 biological sciences", "Meteorological Concepts", "Climate", "Temperature", "Water", "Pinus sylvestris", "15. Life on land", "Plant Roots", "01 natural sciences", "Carbon", "6. Clean water", "Droughts", "Oxygen", "Soil", "Biomass", "Switzerland"]}, "links": [{"href": "https://doi.org/10.1093/treephys/tpn046"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tree%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/treephys/tpn046", "name": "item", "description": "10.1093/treephys/tpn046", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/treephys/tpn046"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-02-04T00:00:00Z"}}, {"id": "10.1093/treephys/tpt019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:19:36Z", "type": "Journal Article", "created": "2013-03-23", "title": "Synergistic, Additive And Antagonistic Impacts Of Drought And Herbivory On Pinus Sylvestris: Leaf, Tissue And Whole-Plant Responses And Recovery", "description": "Forests typically experience a mix of anthropogenic, natural and climate-induced stressors of different intensities, creating a mosaic of stressor combinations across the landscape. When multiple stressors co-occur, their combined impact on plant growth is often greater than expected based on single-factor studies (i.e., synergistic), potentially causing catastrophic dysfunction of physiological processes from an otherwise recoverable situation. Drought and herbivory are two stressors that commonly co-occur in forested ecosystems, and have the potential to 'overlap' in their impacts on various plant traits and processes. However, the combined impacts from these two stressors may not be predictable based on additive models from single-stressor studies. Moreover, the impacts and subsequent recovery may be strongly influenced by the relative intensities of each stressor. Here, we applied drought stress and simulated bark-feeding herbivory at three levels of intensity (control, moderate and severe) in a full factorial design on young Pinus sylvestris L. seedlings. We assessed if the combined effects from two stressors were additive (responses were equal to the sum of the single-factor effects), synergistic (greater than expected) or antagonistic (less than expected) on a suite of morphological and physiological traits at the leaf-, tissue- and whole-plant level. We additionally investigated whether recovery from herbivory was dependent on relief from drought. The two stressors had synergistic impacts on specific leaf area and water-use efficiency, additive effects on height and root-to-shoot ratios, but antagonistic effects on photosynthesis, conductance and, most notably, on root, shoot and whole-plant biomass. Nevertheless, the magnitude and direction of the combined impacts were often dependent on the relative intensities of each stressor, leading to many additive or synergistic responses from specific stressor combinations. Also, seedling recovery was far more dependent on the previous year's drought compared with the previous year's herbivory, demonstrating the influence of one stressor over another during recovery. Our study reveals for the first time, the importance of not only the presence or absence of drought and herbivory stressors, but also shows that their relative intensities are critical in determining the direction and magnitude of their impacts on establishing seedlings.", "keywords": ["0106 biological sciences", "Water", "Pinus sylvestris", "Plant Transpiration", "15. Life on land", "Plant Roots", "01 natural sciences", "6. Clean water", "Droughts", "Trees", "Plant Leaves", "Seedlings", "Stress", " Physiological", "Biomass", "Herbivory", "Photosynthesis", "Ecosystem", "Plant Shoots"]}, "links": [{"href": "https://doi.org/10.1093/treephys/tpt019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Tree%20Physiology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1093/treephys/tpt019", "name": "item", "description": "10.1093/treephys/tpt019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1093/treephys/tpt019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-03-21T00:00:00Z"}}, {"id": "10.1111/nph.18120", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:20:24Z", "type": "Journal Article", "created": "2022-03-28", "title": "Solar radiation drives methane emissions from the shoots of Scots pine", "description": "Summary
Plants are recognized as sources of aerobically produced methane (CH4), but the seasonality, environmental drivers and significance of CH4 emissions from the canopies of evergreen boreal trees remain poorly understood.
We measured the CH4 fluxes from the shoots of Pinus sylvestris (Scots pine) and Picea abies (Norway spruce) saplings in a static, non\uffe2\uff80\uff90steady\uffe2\uff80\uff90state chamber setup to investigate if the shoots of boreal conifers are a source of CH4 during spring.
We found that the shoots of Scots pine emitted CH4 and these emissions correlated with the photosynthetically active radiation. For Norway spruce, the evidence for CH4 emissions from the shoots was inconclusive.
Our study shows that the canopies of evergreen boreal trees are a potential source of CH4 in the spring and that these emissions are driven by a temperature\uffe2\uff80\uff90by\uffe2\uff80\uff90light interaction effect of solar radiation either directly or indirectly through its effects on tree physiological processes.
Shoot\uffe2\uff80\uff90level emissions of aerobically produced methane (CH4) may be an overlooked source of tree\uffe2\uff80\uff90derived CH4, but insufficient understanding of the interactions between their environmental and physiological drivers still prevents the reliable upscaling of canopy CH4 fluxes.
We utilised a novel automated chamber system to continuously measure CH4 fluxes from the shoots of Pinus sylvestris (Scots pine) saplings under drought to investigate how canopy CH4 fluxes respond to the drought\uffe2\uff80\uff90induced alterations in their physiological processes and to isolate the shoot\uffe2\uff80\uff90level production of CH4 from soil\uffe2\uff80\uff90derived transport and photosynthesis.
We found that aerobic CH4 emissions are not affected by the drought\uffe2\uff80\uff90induced stress, changes in physiological processes, or decrease in photosynthesis. Instead, these emissions vary on short temporal scales with environmental drivers such as temperature, suggesting that they result from abiotic degradation of plant compounds.
Our study shows that aerobic CH4 emissions from foliage are distinct from photosynthesis\uffe2\uff80\uff90related processes. Thus, instead of photosynthesis rates, it is more reliable to construct regional and global estimates for the aerobic CH4 emission based on regional differences in foliage biomass and climate, also accounting for short\uffe2\uff80\uff90term variations of weather variables such as air temperature and solar radiation.
The study analyses the annual post-thinning response and thinning bias of a young Scots pine stand as a function of tree size, competition faced by the tree, and competition that is removed around the tree in the thinning treatment. The thinning response of a tree was defined as the change of tree growth due to a thinning treatment. The thinning bias was defined as the difference between the true growth and model prediction. A distance-dependent (spatial) and a distance-independent (non-spatial) growth model were used in the calculations. The empirical data were measured from a thinning experiment consisting of ten plots, each 40 x 30 m in size, which were thinned to different stand densities. The ten-year post-thinning growth of every remaining tree was measured. The results indicated that the highest thinning response is among medium-sized and co-dominant trees. The thinning response is quite small, and even negative for some trees, for two years after thinning but it becomes clearly positive from the third year onwards. The spatial model underestimated the growth of small trees (which usually face high competition) while the non-spatial model overestimated the growth of trees that are small or face much competition. The spatial model used in this study overemphasized the effect of competition while the non-spatial model underestimated this effect. Both growth models overestimated the growth of trees in heavily thinned places, but this bias disappeared in two years. The negative bias was more pronounced with a spatial growth model because the tendency of the non-spatial model to underestimate the growth of trees facing little competition partly compensated for the negative bias.", "keywords": ["0106 biological sciences", "non-spatial model", "Pinus sylvestris", "Forestry", "630*5", "04 agricultural and veterinary sciences", "SD1-669.5", "15. Life on land", "630*2", "ei-spatiaaliset mallit", "01 natural sciences", "spatial model", "growth model", "0401 agriculture", " forestry", " and fisheries", "spatiaaliset mallit", "kasvumallit"]}, "links": [{"href": "https://doi.org/10.14214/sf.524"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Silva%20Fennica", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.14214/sf.524", "name": "item", "description": "10.14214/sf.524", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.14214/sf.524"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2002-01-01T00:00:00Z"}}, {"id": "10.15376/biores.13.3.5976-6002", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:21:01Z", "type": "Journal Article", "created": "2022-09-21", "title": "Effects of Biomass Type, Carbonization Process, and Activation Method on the Properties of Bio-Based Activated Carbons", "description": "Activated carbons (AC) serve as adsorbents in various applications requiring specific functionalities. In this study, the effects of biomass type, pre-carbonization process, and activation method on the properties of ACs were investigated. Chemical (KOH and H3PO4) and physical (CO2) activations were performed on slow pyrolyzed and hydrothermally carbonized (HTC) biochars produced from two feedstocks, willow and Scots pine bark (SPB). In addition, the adsorption capacities of the ACs were tested with two dyes and zinc metal. Distinct differences were found between the biochars and ACs regarding pore size distributions, surface area (238 \uffe2\uff80\uff93 3505 m2 g-1), and surface chemistry. KOH activation produced highly microporous ACs from all biochars, whereas with H3PO4 and CO2 there was also increase in the meso- and macroporosity with the HTC biochars. Adsorption capacity for dyes was dependent on the surface area, while for zinc it depended on AC\uffe2\uff80\uff99s pH. The results provide interesting insights into tailoring ACs for specific applications.
", "keywords": ["bark", "willow", "biohiili", "330", "Willow", "Activated carbon", "Activated carbon;", "pine bark", "pajut", "Pinus sylvestris", "tomography", "bio-based activated carbon", "620", "Biochar", "tomografia", "Pine bark", "SDG 13 - Climate Action", "Bio-based activated carbon", "activated carbon", "biochar", "ta219", "SDG 7 - Affordable and Clean Energy", "X-ray tomography"]}, "links": [{"href": "https://bioresources.cnr.ncsu.edu/wp-content/uploads/2018/06/BioRes_13_3_5976_Siipola_Effects_Biomass_Type_Carbonizat_Process_Activat_Method_Activ_C_13985.pdf"}, {"href": "https://doi.org/10.15376/biores.13.3.5976-6002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/BioResources", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.15376/biores.13.3.5976-6002", "name": "item", "description": "10.15376/biores.13.3.5976-6002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.15376/biores.13.3.5976-6002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-06-15T00:00:00Z"}}, {"id": "10.5061/dryad.926nd", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:23:11Z", "type": "Dataset", "title": "Data from: Do plant traits explain tree seedling survival in bogs?", "description": "unspecifiedSeedlingtraitdataexperiment2Experiment 2 Morphological traits were assessed independently of Experiment 1. We grew tree seedlings under optimal conditions by planting pre-grown 4 weeks old tree seedlings ( see plant material) into the center of a (10 cm wide) pot, using a density of one seedling per pot. The pots were filled with sterilized organic soil, watered daily and kept under the same glasshouse light and humidity conditions as Experiment 1. Pots were arranged in five replicated blocks. Both the blocks and the pots within a block were randomly moved once a week. For more information on columnheadings see Table 1 in the associated MSMotherfile.xlsTraitsandsurvivalTraits assessed in Experiment 2 were used to relate to seedling survival in Experiment 1. This file contains trait data from experiment 2 and seedling survival of seven conifer species in experiment 1 kept under contrasting moisture conditions (Dry, Wet)traitsandsurvival.xlsxTraitplasticityseedlingsmosssoilTo assess the plasticity of the morphological traits, we compared the morphological traits based on seedlings from Experiment 2 (grown on soil) with values measured on seedlings in Experiment 1 under contrasting moisture conditionsTraitflexibilitymosssoil.xlsxgerminationTo assess germination, we introduced seeds to Experiment 1 in the third week, corresponding to the time when pot water contents had stabilized. Three seeds were placed around the seedling of the same species, on the capitulum of a moss individual, using 3 x 140 = 420 seeds in total. Germination was checked twice a week until harvest, 5 weeks later. We considered a seed germinated when the integument had broken and a \u2018shoot\u2019 of at least 1 mm had emerged from the seed.Mossgrowth and seedling performanceThe file contains growth and survival of seedlings grown on moss in experiment 1 as well as the moss growth itselfRelatie tussen mosgroei en seedling performance.xlsx", "keywords": ["2. Zero hunger", "(Pinus sylvestris L.", "tree encroachment", "Holocene", "mires", "Picea sitchensis (Bong.) Carri\u00e8re", "15. Life on land", "Pinus sylvestris L.", "Picea rubens Sarg.", "Picea glauca (Moench) Voss", "Bogs", "Pinus banksiana Lamb", "Seedlings", "Picea glauca (Moench) Voss)", "Picea mariana (Mill.) Britton", "Picea mariana (Mill.) Britton Sterns & Poggenb.", "Sterns & Poggenb.", "peatlands", "Pinus nigra Arnold"], "contacts": [{"organization": "Limpens, Juul, van Egmond, Emily, Li, Bingxi, Holmgren, Milena,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5061/dryad.926nd"}, {"rel": "self", "type": "application/geo+json", "title": "10.5061/dryad.926nd", "name": "item", "description": "10.5061/dryad.926nd", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5061/dryad.926nd"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-06-24T00:00:00Z"}}, {"id": "10.3846/16486897.2011.557473", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:22:54Z", "type": "Journal Article", "created": "2011-04-16", "title": "Anthropogenic Effects On Heavy Metals And Macronutrients Accumulation In Soil And Wood Of Pinus Sylvestris L.", "description": "The investigation is focused on the uptake of heavy metals and macronutrients fluxes in Pinus sylvestris L. wood and soil under the sampled trees from contaminated and control sites. Soil pH, total organic carbon (TOC) and total and bioavailable heavy metals lead (Pb), cadmium (Cd), copper (Cu) and zinc (Zn) and macronutrients, potassium (K) and magnesium (Mg) were compared on contaminated and control sites. Also, metal uptake of contaminated and control pine woods was determined. Concentrations of soil bioavailable Cd (0.009 mg kg\uffe2\uff88\uff921), Pb (0.11 mg kg\uffe2\uff88\uff921), Cu (0.076 mg kg\uffe2\uff88\uff921), Zn (0.51 mg kg\uffe2\uff88\uff921) and K (24.42 mg kg\uffe2\uff88\uff921), Mg (8.44 mg kg\uffe2\uff88\uff921) on the contaminated plot were significantly higher (p < 0.001) than on the control plot 0.00004 mg kg\uffe2\uff88\uff921for Cd, 0.007 mg kg\uffe2\uff88\uff921 for Pb, 0.002 mg kg\uffe2\uff88\uff921 for Cu, 0.22 mg kg\uffe2\uff88\uff921 for Zn and 7.81 mg kg\uffe2\uff88\uff921 for K, 2.40 mg kg\uffe2\uff88\uff921for Mg. In addition, the percentage of bioavailable metals in contaminated soils was higher. Pb (34.49 mg kg\uffe2\uff88\uff921), Cu (0.258 mg kg\uffe2\uff88\uff921), Zn (1.36 mg kg\uffe2\uff88\uff921) and K, Mg concentrations in wood were statistically higher than on the control site Pb (0.01 mg kg\uffe2\uff88\uff921), Cu (0.172 mg kg\uffe2\uff88\uff921), Zn (0.93 mg kg\uffe2\uff88\uff921), at p < 0.05 and p < 0.001, respectively. Cd did not show any significant difference in concentration on the contaminated plot in comparison to the control site. Santrauka Pagrindinis tiriamojo darbo tikslas \uffe2\uff80\uff93 nustatyti sunki\uffc5\uffb3j\uffc5\uffb3 metal\uffc5\uffb3 kiek\uffc4\uffaf paprastosios pu\uffc5\uffa1ies (Pinus sylvestris L.), augusios \uffc5\uffa1alia buvusios Ekrano gamyklos Panev\uffc4\uff97\uffc5\uffbeyje, medienoje bei palyginti su augusios kontrolin\uffc4\uff97je teritorijoje. \uffc4\uffaevertinta ir palyginta abiej\uffc5\uffb3 teritorij\uffc5\uffb3 dirvo\uffc5\uffbeemis, nustatyta dirvo\uffc5\uffbeemio pH, bendrosios anglies kiekis (TOC), \uffc4\uffafvertintos sumin\uffc4\uff97 ir judriosios faz\uffc4\uff97s sunki\uffc5\uffb3j\uffc5\uffb3 metal\uffc5\uffb3 \uffe2\uff80\uff93 \uffc5\uffa1vino (Pb), kadmio (Cd), vario (Cu), cinko (Zn) bei makroelement\uffc5\uffb3 \uffe2\uff80\uff93 kalio (K) ir magnio(Mg) koncentracijos. Nustatyta \uffc4\uffaf pu\uffc5\uffa1\uffc5\uffb3 medien\uffc4\uff85 u\uffc5\uffbeter\uffc5\uffa1toje ir kontrolin\uffc4\uff97je teritorijose patekusi\uffc5\uffb3 metal\uffc5\uffb3 kiekiai. Akivaizdu, kad judriosios faz\uffc4\uff97s metal\uffc5\uffb3 koncentracijos u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje (Cd \uffe2\uff80\uff93 0,009 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Pb \uffe2\uff80\uff93 0,11 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,076 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,51 mg\uffc2\uffb7kg\uffe2\uff80\uff931 ir K \uffe2\uff80\uff93 24,42 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Mg \uffe2\uff80\uff93 8,44 mg\uffc2\uffb7kg\uffe2\uff80\uff931) yra didesn\uffc4\uff97s (p < 0,001) nei kontrolin\uffc4\uff97je(Cd \uffe2\uff80\uff93 0,000 04 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Pb \uffe2\uff80\uff93 0,007 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,000 2 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,22 mg\uffc2\uffb7kg\uffe2\uff80\uff931 ir K \uffe2\uff80\uff93 7,81 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Mg \uffe2\uff80\uff93 2,40 mg\uffc2\uffb7kg\uffe2\uff80\uff931). Pb (34,5 mg\uffc2\uffb7kg\uffe2\uff80\uff931), Cu (0,258 mg\uffc2\uffb7kg\uffe2\uff80\uff931), Zn (1,36 mg\uffc2\uffb7kg\uffe2\uff80\uff931) ir K bei Mg koncentracijos buvo statisti\uffc5\uffa1kaididesn\uffc4\uff97s u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje (p < 0,05) augusios pu\uffc5\uffa1ies medienoje nei kontrolin\uffc4\uff97s (p < 0,001) \uffe2\uff80\uff93 Pb \uffe2\uff80\uff93 0,01 mg kg\uffe2\uff80\uff931, Cu \uffe2\uff80\uff93 0,172 mg\uffc2\uffb7kg\uffe2\uff80\uff931, Zn \uffe2\uff80\uff93 0,93 mg kg\uffe2\uff80\uff931. Cd koncentracija u\uffc5\uffbeter\uffc5\uffa1toje teritorijoje augusios pu\uffc5\uffa1ies medienoje nedaug skyr\uffc4\uff97si nuo kontrolin\uffc4\uff97s. \uffd0\uffa0\uffd0\uffb5\uffd0\uffb7\uffd1\uff8e\uffd0\uffbc\uffd0\uffb5 \uffd0\uff93\uffd0\uffbb\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff86\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff8e \uffd0\uffbd\uffd0\uffb0\uffd1\uff83\uffd1\uff87\uffd0\uffbd\uffd0\uffbe\uffd0\uffb8\uffd1\uff81\uffd1\uff81\uffd0\uffbb\uffd0\uffb5\uffd0\uffb4\uffd0\uffbe\uffd0\uffb2\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff81\uffd0\uffba\uffd0\uffbe\uffd0\uffb9 \uffd1\uff80\uffd0\uffb0\uffd0\uffb1\uffd0\uffbe\uffd1\uff82\uffd1\uff8b \uffd0\uffb1\uffd1\uff8b\uffd0\uffbb\uffd0\uffbe \uffd0\uffbe\uffd0\uffbf\uffd1\uff80\uffd0\uffb5\uffd0\uffb4\uffd0\uffb5\uffd0\uffbb\uffd0\uffb8\uffd1\uff82\uffd1\uff8c \uffd0\uffba\uffd0\uffbe\uffd0\uffbb\uffd0\uffb8\uffd1\uff87\uffd0\uffb5\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe \uffd1\uff82\uffd1\uff8f\uffd0\uffb6\uffd0\uffb5\uffd0\uffbb\uffd1\uff8b\uffd1\uff85 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd0\uffb5\uffd1\uff81\uffd0\uffbe\uffd1\uff81\uffd0\uffbd\uffd1\uff8b \uffd0\uffbe\uffd0\uffb1\uffd1\uff8b\uffd0\uffba\uffd0\uffbd\uffd0\uffbe\uffd0\uffb2\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 (Pinus sylvestris L.) \uffd0\uffbd\uffd0\uffb0 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8 \uffd0\uffb1\uffd1\uff8b\uffd0\uffb2\uffd1\uff88\uffd0\uffb5\uffd0\uffb3\uffd0\uffbe \uffd0\uffb7\uffd0\uffb0\uffd0\uffb2\uffd0\uffbe\uffd0\uffb4\uffd0\uffb0 \uffc2\uffab\uffd0\uffad\uffd0\uffba\uffd1\uff80\uffd0\uffb0\uffd0\uffbd\uffd0\uffb0\uffd1\uff81\uffc2\uffbb \uffd0\uffb2 \uffd0\uff9f\uffd0\uffb0\uffd0\uffbd\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd0\uffb6\uffd0\uffb8\uffd1\uff81\uffd0\uffb5 \uffd0\uffb8 \uffd1\uff81\uffd1\uff80\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffb8\uffd1\uff82\uffd1\uff8c \uffd0\uffb5\uffd0\uffb3\uffd0\uffbe \uffd1\uff81\uffd0\uffb4\uffd0\uffb0\uffd0\uffbd\uffd0\uffbd\uffd1\uff8b\uffd0\uffbc\uffd0\uffb8 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8. \uffd0\uff92 \uffd0\uffb8\uffd1\uff81\uffd1\uff81\uffd0\uffbb\uffd0\uffb5\uffd0\uffb4\uffd0\uffbe\uffd0\uffb2\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c\uffd1\uff81\uffd0\uffba\uffd0\uffbe\uffd0\uffb9 \uffd1\uff80\uffd0\uffb0\uffd0\uffb1\uffd0\uffbe\uffd1\uff82\uffd0\uffb5 \uffd0\uffbe\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd1\uff8b \uffd0\uffb8 \uffd1\uff81\uffd1\uff80\uffd0\uffb0\uffd0\uffb2\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd1\uff8b \uffd0\uffbf\uffd0\uffbe\uffd1\uff87\uffd0\uffb2\uffd1\uff8b \uffd0\uffbe\uffd0\uffb1\uffd0\uffb5\uffd0\uffb8\uffd1\uff85 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb9,\uffd0\uffbe\uffd0\uffbf\uffd1\uff80\uffd0\uffb5\uffd0\uffb4\uffd0\uffb5\uffd0\uffbb\uffd0\uffb5\uffd0\uffbd \uffd0\uffbf\uffd0\uffbe\uffd0\uffba\uffd0\uffb0\uffd0\uffb7\uffd0\uffb0\uffd1\uff82\uffd0\uffb5\uffd0\uffbb\uffd1\uff8c \uffd1\uff80\uffd0\uff9d \uffd0\uffbf\uffd0\uffbe\uffd1\uff87\uffd0\uffb2\uffd1\uff8b, \uffd0\uffbe\uffd0\uffb1\uffd1\uff89\uffd0\uffb5\uffd0\uffb5 \uffd0\uffba\uffd0\uffbe\uffd0\uffbb\uffd0\uffb8\uffd1\uff87\uffd0\uffb5\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe \uffd1\uff83\uffd0\uffb3\uffd0\uffbb\uffd0\uffb5\uffd1\uff80\uffd0\uffbe\uffd0\uffb4\uffd0\uffb0 (\uffd0\uff9e\uffd0\uff9a\uffd0\uffa3), \uffd0\uffbe\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd1\uff8b \uffd0\uffbe\uffd0\uffb1\uffd1\uff89\uffd0\uffb8\uffd0\uffb5 \uffd0\uffb8 \uffd1\uff80\uffd0\uffb0\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffbc\uffd1\uff8b\uffd0\uffb5 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd0\uffb8 \uffd1\uff82\uffd1\uff8f\uffd0\uffb6\uffd0\uffb5\uffd0\uffbb\uffd1\uff8b\uffd1\uff85 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 \uffd1\uff81\uffd0\uffb2\uffd0\uffb8\uffd0\uffbd\uffd1\uff86\uffd0\uffb0 (Pb), \uffd0\uffba\uffd0\uffb0\uffd0\uffb4\uffd0\uffbc\uffd0\uffb8\uffd1\uff8f (Cd), \uffd0\uffbc\uffd0\uffb5\uffd0\uffb4\uffd0\uffb8 (Cu), \uffd1\uff86\uffd0\uffb8\uffd0\uffbd\uffd0\uffba\uffd0\uffb0 (Zn), \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd0\uffb8 \uffd0\uffbc\uffd0\uffb0\uffd0\uffba\uffd1\uff80\uffd0\uffbe\uffd1\uff8d\uffd0\uffbb\uffd0\uffb5\uffd0\uffbc\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd0\uffbe\uffd0\uffb2 \uffd0\uffba\uffd0\uffb0\uffd0\uffbb\uffd0\uffb8\uffd1\uff8f (K) \uffd0\uffb8\uffd0\uffbc\uffd0\uffb0\uffd0\uffb3\uffd0\uffbd\uffd0\uffb8\uffd1\uff8f (Mg). \uffd0\uffa2\uffd0\uffb0\uffd0\uffba\uffd0\uffb6\uffd0\uffb5 \uffd0\uffbe\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbe \uffd0\uffbf\uffd0\uffbe\uffd0\uffbf\uffd0\uffb0\uffd0\uffb4\uffd0\uffb0\uffd0\uffbd\uffd0\uffb8\uffd0\uffb5 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd1\uff83 \uffd1\uff81\uffd0\uffbe\uffd1\uff81\uffd0\uffbd\uffd1\uff8b \uffd0\uffb2 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb8 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb7\uffd0\uffbe\uffd0\uffbd\uffd0\uffb0\uffd1\uff85. \uffd0\uff97\uffd0\uffb0\uffd0\uffbc\uffd0\uffb5\uffd1\uff87\uffd0\uffb5\uffd0\uffbd\uffd0\uffb0 \uffd1\uff82\uffd0\uffb5\uffd0\uffbd\uffd0\uffb4\uffd0\uffb5\uffd0\uffbd\uffd1\uff86\uffd0\uffb8\uffd1\uff8f: \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd1\uff8f \uffd1\uff80\uffd0\uffb0\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffbc\uffd1\uff8b\uffd1\uff85 \uffd0\uffbc\uffd0\uffb5\uffd1\uff82\uffd0\uffb0\uffd0\uffbb\uffd0\uffbb\uffd0\uffbe\uffd0\uffb2 Cd (0,009 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Pb (0,11 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,076 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (0,51 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) \uffd0\uffb8 K (24,42 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Mg (8,44 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) \uffd0\uffb2 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd0\uffb7\uffd0\uffbe\uffd0\uffbd\uffd0\uffb5 \uffd0\uffb2\uffd1\uff8b\uffd1\uff88\uffd0\uffb5 (p < 0.001), \uffd1\uff87\uffd0\uffb5\uffd0\uffbc \uffd0\uffb2 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9, \uffd1\uff81\uffd0\uffbe\uffd0\uffbe\uffd1\uff82\uffd0\uffb2\uffd0\uffb5\uffd1\uff82\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe Cd (0,00004 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Pb (0,007 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,002 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (0,22 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931) ir K (7,81 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Mg (2,40 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931). \uffd0\uff9a\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd0\uffb8 Pb (34,49 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,258 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (1,36 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), K \uffd0\uffb8 Mg \uffd0\uffb2 \uffd0\uffb4\uffd1\uff80\uffd0\uffb5\uffd0\uffb2\uffd0\uffb5\uffd1\uff81\uffd0\uffb8\uffd0\uffbd\uffd0\uffb5 \uffd0\uffb1\uffd1\uff8b\uffd0\uffbb\uffd0\uffb8 \uffd1\uff81\uffd1\uff82\uffd0\uffb0\uffd1\uff82\uffd0\uffb8\uffd1\uff81\uffd1\uff82\uffd0\uffb8\uffd1\uff87\uffd0\uffb5\uffd1\uff81\uffd0\uffba\uffd0\uffb8 \uffd0\uffb2\uffd1\uff8b\uffd1\uff88\uffd0\uffb5 \uffd0\uffbd\uffd0\uffb0 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8 (p < 0,05), \uffd1\uff87\uffd0\uffb5\uffd0\uffbc \uffd0\uffbd\uffd0\uffb0 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 (p < 0,001) \uffe2\uff80\uff93 Pb (0,01 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Cu (0,172 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931), Zn (0,93 \uffd0\uffbc\uffd0\uffb3\uffc2\uffb7\uffd0\uffba\uffd0\uffb3\uffe2\uff80\uff931). \uffd0\uff9a\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd1\uff8f Cd \uffd0\uffbd\uffd0\uffb0 \uffd0\uffb7\uffd0\uffb0\uffd0\uffb3\uffd1\uff80\uffd1\uff8f\uffd0\uffb7\uffd0\uffbd\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8 \uffd1\uff81\uffd1\uff83\uffd1\uff89\uffd0\uffb5\uffd1\uff81\uffd1\uff82\uffd0\uffb2\uffd0\uffb5\uffd0\uffbd\uffd0\uffbd\uffd0\uffbe \uffd0\uffbd\uffd0\uffb5 \uffd0\uffbe\uffd1\uff82\uffd0\uffbb\uffd0\uffb8\uffd1\uff87\uffd0\uffb0\uffd0\uffbb\uffd0\uffb0\uffd1\uff81\uffd1\uff8c \uffd0\uffbe\uffd1\uff82\uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff86\uffd0\uffb5\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffb0\uffd1\uff86\uffd0\uffb8\uffd0\uffb8 \uffd0\uffbd\uffd0\uffb0 \uffd0\uffba\uffd0\uffbe\uffd0\uffbd\uffd1\uff82\uffd1\uff80\uffd0\uffbe\uffd0\uffbb\uffd1\uff8c\uffd0\uffbd\uffd0\uffbe\uffd0\uffb9 \uffd1\uff82\uffd0\uffb5\uffd1\uff80\uffd1\uff80\uffd0\uffb8\uffd1\uff82\uffd0\uffbe\uffd1\uff80\uffd0\uffb8\uffd0\uffb8.
", "keywords": ["macroelements", "Pinus sylvestris L", "Environmental engineering", "TA170-171", "heavy metals", "metal accumulation", "01 natural sciences", "soil contamination", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.3846/16486897.2011.557473"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Environmental%20Engineering%20and%20Landscape%20Management", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.3846/16486897.2011.557473", "name": "item", "description": "10.3846/16486897.2011.557473", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.3846/16486897.2011.557473"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-04-15T00:00:00Z"}}, {"id": "10138/569454", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:43Z", "type": "Journal Article", "created": "2023-12-21", "title": "Radiation and temperature drive diurnal variation of aerobic methane emissions from Scots pine canopy", "description": "Methane emissions from plant foliage may play an important role in the global methane cycle, but their size and the underlying source processes remain poorly understood. Here, we quantify methane fluxes from the shoots of Scots pine trees, a dominant tree species in boreal forests, to identify source processes and environmental drivers, and we evaluate whether these fluxes can be constrained at the ecosystem-level by eddy covariance flux measurements. We show that shoot-level measurements conducted in forest, garden, or greenhouse settings; on mature trees and saplings; manually and with an automated CO 2 -, temperature-, and water-controlled chamber system; and with multiple methane analyzers all resulted in comparable daytime fluxes (0.144 \uffc2\uffb1 0.019 to 0.375 \uffc2\uffb1 0.074 nmol CH 4 g \uffe2\uff88\uff921 foliar d.w. h \uffe2\uff88\uff921 ). We further find that these emissions exhibit a pronounced diurnal cycle that closely follows photosynthetically active radiation and is further modulated by temperature. These diurnal patterns indicate that methane production is associated with diurnal cycle of sunlight, indicating that this production is either a byproduct of photosynthesis-associated biochemical reactions (e.g., the methionine cycle) or produced through nonenzymatic photochemical reactions in plant biomass. Moreover, we identified a light-dependent component in stand-level methane fluxes, which showed order-of-magnitude agreement with shoot-level measurements (0.968 \uffc2\uffb1 0.031 nmol CH 4 g \uffe2\uff88\uff921 h \uffe2\uff88\uff921 ) and which provides an upper limit for shoot methane emissions. P. sylvestris or P. pinaster, and one mixed plot of both species. In each plot, one pit up to 50 cm depth, one 15 m-radius overstory features inventory and ten understory 1x1 m inventories were carried out. Additionally, physiographic and climatic variables were collected per plot. The file contains information about the 215 environmental variables studied in the eighteen forest plots. Triplet: Triplet to which the plot belongs(1: Triplet 1; 2: Triplet 2; 3: Triplet 3; 4: Triplet 4; 5: Triplet 5; 6: Triplet 6). Stand_type: Type of stand (PS: monospecific stand of Pinus sylvestris L.; PP: monospecific stand of Pinus pinaster Ait.; MM: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait.). Plot: Plot identification (PS01: monospecific stand of Pinus sylvestris L. of triplet 1; PS02: monospecific stand of Pinus sylvestris L. of triplet 2; PS03: monospecific stand of Pinus sylvestris L. of triplet 3; PS04: monospecific stand of Pinus sylvestris L. of triplet 4; PS05: monospecific stand of Pinus sylvestris L. of triplet 5; PS06: monospecific stand of Pinus sylvestris L. of triplet 6; MM01: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 1; MM02: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 2; MM03: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 3; MM04: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 4; MM05: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 5; MM06: mixed stand of Pinus sylvestris L.and Pinus pinaster Ait. of triplet 6; PP01: monospecific stand of Pinus pinaster Ait. of triplet 1; PP02: monospecific stand of Pinus pinaster Ait. of triplet 2; PP03: monospecific stand of Pinus pinaster Ait. of triplet 3; PP04: monospecific stand of Pinus pinaster Ait. of triplet 4; PP05: monospecific stand of Pinus pinaster Ait. of triplet 5; PP06: monospecific stand of Pinus pinaster Ait. of triplet 6). Lat: Plot latitude in degrees. Long: Plot longitude in degrees. Province: Province to which the plot belongs (B:Province of Burgos; Sp: Province of Soria). Municipality: Municipality to which the plot belongs (M: Town of Mamolar; HP: Town of Hontoria del Pinar; N: Town of Navaleno; St: Town of Soria; CP: Town of Cabrejas del Pinar). Forest: Name of the forest where is located the plot (MB: Mata Blanca; MR: Mata Robledo; FP: Fuente del Pardo; PM: Pajar de la molinera; MP: Mojon Pardo; CM: Cueva de Matarubias). Alti: Plot elevation above sea level in m a.s.l. Slope: Slope (gradient) of the plot in percentage. Ori: Plot orientation in degrees. Clim: Climate clasification acording to K\u00f6ppen classification (1936) (Cfb: Temperate without dry season and temperate summer climate; Csb: Temperate with dry summer climate). XR: Accumulated rainfall in one year according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JR: January rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 mm FR: February rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. MR: March rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. AR: April rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. MyR: May rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JnR: June rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. JlR: July rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. AgR: August rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. SR: September rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. OR: October rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. NR: November rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. DR: December rainfall according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in mm. XT: Anual mean temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JT: January temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. FT: February temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. MT: March temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. AT: April temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. MyT: May temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JnT: June temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. JlT: July temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. AgT: August temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. ST: September temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. OT: October temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. NT: November temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. DT: December temperature according to \u2018Atlas Agroclim\u00e1tico de Castilla y Le\u00f3n-ITACYL-AEMET\u2019 in \u00baC. Par_mat: Soil parental material according to Spanish Geological Map on a 1M scale. (IGME , 2015) (SM: Sandstones and Marls). Geo_age: Geological age of plot according to Spanish Geological Map on a 1M scale. (IGME, 2015) (Mz: Mesozoic age). Soil: Soil type according to Soil-Survey-Staff (2014) (TpDx: Typic Dystroxerept; TpHx:: Typic Humixerept; AqHx:: Aquic humixerept) Litter_B: Total Leaf Litter Biomass in Mg/ha. FF_Th: Forest floor Thickness in cm. Fsh: Percentage of Fresh to Total Leaf Litter in %. Frg: Percentage of Fragmented to Total Leaf Litter in %. Hmf: Percentage of Humified to Total Leaf Litter in %. GH1: Fist genetic soil horizon according to Soil-Survey-Staff (2014) (Ah:: Mineral horizon with accumulation of organic matter. This horizon is formed at the soil surface or below an O horizon). GH2: Second genetic soil horizon according to Soil-Survey-Staff (2014) (AB: Transition horizon between A and B. A is a mineral horizon formed at the surface or below an O horizon, B is a subsurface horizon in which the structure of the rock is obliterated; AC: Transition horizon between A and C. A is a mineral horizon formed at the surface or below an O horizon; C is a mineral horizon, excluding hard bedrock, that is little affected by pedogenetic processes; Bw: Mineral B horizon where the development of colour or structure are its more important diagnostic characteristics). GH3: Third genetic soil horizon according to Soil-Survey-Staff (2014) (Bw: : Mineral B horizon where the development of colour or structure are its more important diagnostic characteristics; C: Mineral horizon, excluding hard bedrock, that is little affected by pedogenetic processes; Cg: Mineral horizon in which a distinct pattern of mottling occurs that reflects alternating conditions of oxidation and reduction of sesquioxides, caused by seasonal surface waterlogging). Th_H1: Thickness of the first soil horizon in cm. Th_H2: Thickness of the second soil horizon in cm. Th_H3: Thickness of the third soil horizon in cm. wetCol_H1: Wet matrix colour (Hue Value/Chroma) of the first soil horizon according to Munsell soil color chards (10YR2/1: black; 10YR2/2: very dark brown; 10YR3/1: very dark grey; 10YR3/2: very dark greyish brown; 10YR4/1: dark grey; 10YR6/3: pale brown). wetCol_H2: Wet matrix colour (Hue Value/Chroma) of the second soil horizon according to Munsell soil color chards (5YR5/8: yellowish red; 7.5YR4/6: strong brown; 10YR3/2: very dark greyish brown; 10YR4/1: dark grey; 10YR4/2: dark greyish brown; 10YR4/4: dark yellowish brown with chroma 4; 10YR4/6: dark yellowish brown with chroma 6; 10YR5/3: brown; 10YR5/4: yellowish brown with chroma 4; 10YR5/6: yellowish brown with chroma 6; 10YR5/8: yellowish brown with chroma 8; 10YR6/4: light yellowish brown; 10YR6/6: brownish yellow). wetCol_H3: Wet matrix colour (Hue Value/Chroma) of the third soil horizon according to Munsell soil color chards (5YR4/6: yellowish red; 10YR4/4: dark yellowish brown with chroma 4; 10YR4/6: dark yellowish brown with chroma 6; 10YR5/8: yellowish brown; 10YR6/1: grey). dryCol_H1:Dry matrix colour (Hue Value/Chroma) of the first soil horizon according to Munsell soil color chards (10YR4/1: dark grey; 10YR4/2: dark greyish brown; 10YR5/1: grey with value 5; 10YR5/2: greyish brown; 10YR5/3: brown; 10YR6/1: grey with value 6; 10YR6/2: light yellowish brown; 10YR7/2: light grey). dryCol_H2: Dry matrix colour (Hue Value/Chroma) of the second soil horizon according to Munsell soil color chards (7.5YR6/6: redish brown; 10YR4/1: dark grey; 10YR6/1: grey with value 6; 10YR6/2: light yellowish brown with chroma 2; 10YR6/3: pale brown; 10YR6/4: light yellowish brown with chroma 4; 10YR6/6: brownish yellow; 10YR7/3: very pale brown with value 7 and choma 3; 10YR7/4: very pale brown withvalue 7 and choma 4; 10YR8/4: very pale brown with value 8 and choma 4). dryCol_H3: Dry matrix colour (Hue Value/Chroma) of the third soil horizon according to Munsell soil color chards (5YR5/6: yellowish red; 7.5YR5/6: strong brown; 10YR6/4: light yellowish brown; 10YR6/6: brownish yellow; 10YR7/4: very pale brown; 10YR8/1: white). Sand_H1: Percentage of sand of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Sand_H2: Percentage of sand of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Sand_H3: Percentage of sand of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H1: Percentage of silt of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H2: Percentage of silt of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Silt_H3: Percentage of silt of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H1: Percentage of clay of the first soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H2: Percentage of clay of the second soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Clay_H3: Percentage of clay of the third soil horizon determined by the pipette method (MAPA 1994) according to Soil-Survey-Staff (2014) in % weight/weight. Tex_H1: Textural class of the first soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; LfS: Loamy Fine Sand; L: Loam). Tex_H2: Textural class of the second soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; LfS: Loamy Fine Sand; L: Loam, CL: Clay loam). Tex_H3: Textural class of the third soil horizon according to Soil-Survey-Staff (2014) (SL: Sandy Loam; L: Loam; C: Clay). Stones_H1: Coarse soil material (> 2 mm) of the first soil horizon in % weight/weight. Stones_H2: Coarse soil material (> 2 mm) of the second soil horizon in % weight/weight. Stones_H3: Coarse soil material (> 2 mm) of the third soil horizon in % weight/weight. %FR_H1: Fine roots (< 5 mm) of the first soil horizon in %. %FR_H2: Fine roots (< 5 mm) of the second soil horizon in %. %FR_H3: Fine roots (< 5 mm) of the third soil horizon in %. %CR_H1: Coarse roots (> 5 mm) of the first soil horizon in %. %CR_H2: Coarse roots (> 5 mm) of the second soil horizon in %. %CR_H3: Coarse roots (> 5 mm) of the third soil horizon in %. bD_H1: Bulk density of the first soil horizon according to MAPA (1994) in g/cm3. bD_H2: Bulk density of the second soil horizon according to MAPA (1994) in g/cm3. bD_H3: Bulk density of the third soil horizon according to MAPA (1994) in g/cm3. pD_H1: Particle density of the first soil horizon according to MAPA (1994) in g/cm3. pD_H2: Particle density of the second soil horizon according to MAPA (1994) in g/cm3. pD_H3: Particle density of the third soil horizon according to MAPA (1994) in g/cm3. Poro_H1: Porosity of the first soil horizon according to MAPA (1994) in % vol/vol. Poro_H2: Porosity of the second soil horizon according to MAPA (1994) in % vol/vol. Poro_H3: Porosity of the third soil horizon according to MAPA (1994) in % vol/vol. pH_H1: pH (1:2.5 H2O) of the first soil horizon according to MAPA (1994) pH_H2: pH (1:2.5 H2O) of the second soil horizon according to MAPA (1994) pH_H3: pH (1:2.5 H2O) of the third soil horizon according to MAPA (1994) EC_H1: Electrical conductivity of the first soil horizon according to MAPA (1994) in dS/m. EC_H2: Electrical conductivity of the second soil horizon according to MAPA (1994) in dS/m. EC_H3: Electrical conductivity of the third soil horizon according to MAPA (1994) in dS/m. avP_H1: Available phosphorus of the first soil horizon according to Olsen and Sommers (1982) in mg/kg. avP_H2: Available phosphorus of the second soil horizon according to Olsen and Sommers (1982) in mg/kg. avP_H3: Available phosphorus of the third soil horizon according to Olsen and Sommers (1982) in mg/kg. avPstock_H1: Available phosphorus stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_H2: Available phosphorus stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_H3: Available phosphorus stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. avPstock_50: Available phosphorus stock of whole soil profile up to 50 cm depth accorging to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TN_H1. Total nitrogen of the first soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TN_H2: Total nitrogen of the second soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TN_H3: Total nitrogen of the third soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TNstock_H1: Total nitrogen stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_H2: Total nitrogen stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_H3: Total nitrogen stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TNstock_50: Total nitrogen stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOC_H1: Total organic carbon of the first soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOC_H2: Total organic carbon of the second soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOC_H3: Total organic carbon of the third soil horizon analyzed with a LECO-CHN 2000 elemental analyser in mg/kg. TOCstock_H1:Total organic carbon stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_H2: Total organic carbon stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_H3: Total organic carbon stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. TOCstock_50: Total organic carbon stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. C/N_H1: Ratio of total organic carbon to total nitrogen of the first soil horizon C/N_H2 : Ratio of total organic carbon to total nitrogen of the second soil horizon C/N_H3: Ratio of total organic carbon to total nitrogen of the third soil horizon OxC_H1: Easily oxidizable carbon of the first soil horizon according to Walkley (1947) in mg/kg. OxC_H2: Easily oxidizable carbon of the second soil horizon according to Walkley (1947) in mg/kg. OxC_H3: Easily oxidizable carbon of the third soil horizon according to Walkley (1947) in mg/kg. OxCstock_H1: Easily oxidizable carbon stock of the first soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_H2: Easily oxidizable carbon stock of the second soil horizon according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_H3: Easily oxidizable carbon stock of the third soil horizon up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. OxCstock_50: Easily oxidizable carbon stock of whole soil profile up to 50 cm depth according to L\u00f3pez-Marcos et al. (2019) in Mg/ha. CEC_H1: Cation exchange capacity of the first soil horizon according to Mehlich (1953) in cmol+/kg. CEC_H2: Cation exchange capacity of the second soil horizon according to Mehlich (1953) in cmol+/kg. CEC_H3: Cation exchange capacity of the third soil horizon according to Mehlich (1953) in cmol+/kg. Na+_H1: Exchangeable sodium of the first soil horizon by means of extracting with 1N ammonium acetate (pH=7) (Schollenberger and Simon 1945) in cmol+/kg. Na+_H2: Exchangeable sodium", "keywords": ["Physicochemical soil profile parameters", "Mixed stand", "Understory characterization", "Overstory features", "Pinus sylvestris", "Pinus pinaster", "15. Life on land", "Climatic parameters"], "contacts": [{"organization": "Marcos, Daphne L\u00f3pez, Turri\u00f3n, Mar\u00eda-Bel\u00e9n, Bravo, Felipe, Mart\u00ednez-Ruiz, Carolina,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4384530"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4384530", "name": "item", "description": "10.5281/zenodo.4384530", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4384530"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-07-03T00:00:00Z"}}, {"id": "10.5281/zenodo.4609835", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:20Z", "type": "Dataset", "title": "An automated system for trace gas flux measurements from plantfoliage and other plant compartments", "description": "Data processing code and raw measurement data for Kohl et al., Atmospheric Measurement Techniquest Discussion (under review).", "keywords": ["Environmental Sciences not elsewhere classified", "Static chamber", "Information Systems not elsewhere classified", "Plant Biology", "Pinus sylvestris", "Trace Gas", "Dynamic chamberb", "Methane", "Plant shoot"], "contacts": [{"organization": "Kohl Lukas (10328817), Koskinen, Markku (6502211), Polvinen, Tatu (10328820), Tenhovirta, Salla (10328823), Rissanen, Kaisa A. (10328826), Patama, Marjo (10328829), Zanetti, Alessandro (10328832), Pihlatie, Mari (6502226),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4609835"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4609835", "name": "item", "description": "10.5281/zenodo.4609835", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4609835"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-17T00:00:00Z"}}, {"id": "10.5281/zenodo.4609836", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:25:20Z", "type": "Dataset", "title": "An automated system for trace gas flux measurements from plantfoliage and other plant compartments", "description": "Data processing code and raw measurement data for Kohl et al., Atmospheric Measurement Techniquest Discussion (under review).", "keywords": ["Environmental Sciences not elsewhere classified", "Static chamber", "Information Systems not elsewhere classified", "Plant Biology", "Pinus sylvestris", "Trace Gas", "Dynamic chamberb", "Methane", "Plant shoot"], "contacts": [{"organization": "Kohl Lukas (10328817), Koskinen, Markku (6502211), Polvinen, Tatu (10328820), Tenhovirta, Salla (10328823), Rissanen, Kaisa A. (10328826), Patama, Marjo (10328829), Zanetti, Alessandro (10328832), Pihlatie, Mari (6502226),", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.4609836"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.4609836", "name": "item", "description": "10.5281/zenodo.4609836", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.4609836"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-03-17T00:00:00Z"}}, {"id": "10138/344545", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:26:42Z", "type": "Journal Article", "created": "2022-03-28", "title": "Solar radiation drives methane emissions from the shoots of Scots pine", "description": "Summary
Plants are recognized as sources of aerobically produced methane (CH4), but the seasonality, environmental drivers and significance of CH4 emissions from the canopies of evergreen boreal trees remain poorly understood.
We measured the CH4 fluxes from the shoots of Pinus sylvestris (Scots pine) and Picea abies (Norway spruce) saplings in a static, non\uffe2\uff80\uff90steady\uffe2\uff80\uff90state chamber setup to investigate if the shoots of boreal conifers are a source of CH4 during spring.
We found that the shoots of Scots pine emitted CH4 and these emissions correlated with the photosynthetically active radiation. For Norway spruce, the evidence for CH4 emissions from the shoots was inconclusive.
Our study shows that the canopies of evergreen boreal trees are a potential source of CH4 in the spring and that these emissions are driven by a temperature\uffe2\uff80\uff90by\uffe2\uff80\uff90light interaction effect of solar radiation either directly or indirectly through its effects on tree physiological processes.
Shoot\uffe2\uff80\uff90level emissions of aerobically produced methane (CH4) may be an overlooked source of tree\uffe2\uff80\uff90derived CH4, but insufficient understanding of the interactions between their environmental and physiological drivers still prevents the reliable upscaling of canopy CH4 fluxes.
We utilised a novel automated chamber system to continuously measure CH4 fluxes from the shoots of Pinus sylvestris (Scots pine) saplings under drought to investigate how canopy CH4 fluxes respond to the drought\uffe2\uff80\uff90induced alterations in their physiological processes and to isolate the shoot\uffe2\uff80\uff90level production of CH4 from soil\uffe2\uff80\uff90derived transport and photosynthesis.
We found that aerobic CH4 emissions are not affected by the drought\uffe2\uff80\uff90induced stress, changes in physiological processes, or decrease in photosynthesis. Instead, these emissions vary on short temporal scales with environmental drivers such as temperature, suggesting that they result from abiotic degradation of plant compounds.
Our study shows that aerobic CH4 emissions from foliage are distinct from photosynthesis\uffe2\uff80\uff90related processes. Thus, instead of photosynthesis rates, it is more reliable to construct regional and global estimates for the aerobic CH4 emission based on regional differences in foliage biomass and climate, also accounting for short\uffe2\uff80\uff90term variations of weather variables such as air temperature and solar radiation.
Forests play a crucial role in global carbon cycling by absorbing and storing significant amounts of atmospheric carbon dioxide. Although boreal forests contribute to approximately 45% of the total forest carbon sink, tree growth and soil carbon sequestration are constrained by nutrient availability. Here, we examine if long\uffe2\uff80\uff90term nutrient input enhances tree productivity and whether this leads to carbon storage or whether stimulated microbial decomposition of organic matter limits soil carbon accumulation. Over six decades, nitrogen, phosphorus, and calcium were supplied to a Pinus sylvestris\uffe2\uff80\uff90dominated boreal forest. We found that nitrogen fertilization alone or together with calcium and/or phosphorus increased tree biomass production by 50% and soil carbon sequestration by 65% compared to unfertilized plots. However, the nonlinear relationship observed between tree productivity and soil carbon stock across treatments suggests microbial regulation. When phosphorus was co\uffe2\uff80\uff90applied with nitrogen, it acidified the soil, increased fungal biomass, altered microbial community composition, and enhanced biopolymer degradation capabilities. While no evidence of competition between ectomycorrhizal and saprotrophic fungi has been observed, key functional groups with the potential to reduce carbon stocks were identified. In contrast, when nitrogen was added without phosphorus, it increased soil carbon sequestration because microbial activity was likely limited by phosphorus availability. In conclusion, the addition of nitrogen to boreal forests may contribute to global warming mitigation, but this effect is context dependent.Changes in fire regime of boreal forests in response to climate warming are expected to impact postfire recovery. However, quantitative data on how managed forests sustain and recover from recent fire disturbance are limited.
Two years after a large wildfire in managed even\uffe2\uff80\uff90aged boreal forests in Sweden, we investigated how recovery of aboveground and belowground communities, that is, understory vegetation and soil microbial and faunal communities, responded to variation in the severity of soil (i.e., consumption of soil organic matter) and canopy fires (i.e., tree mortality).
While fire overall enhanced diversity of understory vegetation through colonization of fire adapted plant species, it reduced the abundance and diversity of soil biota. We observed contrasting effects of tree\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related fire severity on survival and recovery of understory vegetation and soil biological communities. Severe fires that killed overstory Pinus sylvestris promoted a successional stage dominated by the mosses Ceratodon purpureus and Polytrichum juniperinum, but reduced regeneration of tree seedlings and disfavored the ericaceous dwarf\uffe2\uff80\uff90shrub Vaccinium vitis\uffe2\uff80\uff90idaea and the grass Deschampsia flexuosa. Moreover, high tree mortality from fire reduced fungal biomass and changed fungal community composition, in particular that of ectomycorrhizal fungi, and reduced the fungivorous soil Oribatida. In contrast, soil\uffe2\uff80\uff90related fire severity had little impact on vegetation composition, fungal communities, and soil animals. Bacterial communities responded to both tree\uffe2\uff80\uff90 and soil\uffe2\uff80\uff90related fire severity.
Synthesis: Our results 2\uffe2\uff80\uff89years postfire suggest that a change in fire regime from a historically low\uffe2\uff80\uff90severity ground fire regime, with fires that mainly burns into the soil organic layer, to a stand\uffe2\uff80\uff90replacing fire regime with a high degree of tree mortality, as may be expected with climate change, is likely to impact the short\uffe2\uff80\uff90term recovery of stand structure and above\uffe2\uff80\uff90 and belowground species composition of even\uffe2\uff80\uff90aged P.\uffe2\uff80\uff89sylvestris boreal forests.
The data collection contains 6-year measurement data series (2014-2019) on CO2 concentration, temperature and moisture in different soil depths of a European beech forest (Fagus sylvatica) and a Scots pine forest (Pinus sylvestris) in the northeast German lowlands both representing intensive monitoring plots in the ICP Forests programme (http://icp-forests.net). In addition, occasionally collected measurement data (67 and 64 dates for the beech and pine forest, respectively) on CO2 efflux with the closed chamber method over 2 years (2018-2019) are included. Data on air temperature and air pressure complete the data set. \n\nThe data was processed and used to calculate the CO2 efflux and the soil layer-specific CO2 production using the flux-gradient method. This detailed model input data and simulation results are also included.
\n\nDetails of the methods and results were presented in Jochheim et al. (2018), https://doi.org/10.1002/jpln.201700259 and Jochheim et al. (2022), https://doi.org/10.3389/ffgc.2022.826298. \nThis table contains the index of all tables forming this data collection.
\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0
\n\n!! Due to the size of the data it can take longer to receive the download link. Please be patient.
", "formats": [{"name": "CSV"}], "keywords": ["Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "opendata", "Boden", "Germany", "Brandenburg", "Barnim", "Ostprignitz-Ruppin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stephan Wirth", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "swirth@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Valentin Gartiser", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "valentin.gartiser@stud.uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5320-374X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sinikka Jasmin Paulus", "organization": "Max-Planck-Institut f\u00fcr Biogeochemie, Jena", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "spaulus@bgc-jena.mpg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8908-7987", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christoph Haas", "organization": "Christian-Albrechts-Universit\u00e4t zu Kiel", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "c.haas@soils.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5272-4428", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Horst H. Gerke", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "gerke@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6232-7688", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Martin Maier", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "martin.maier@uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7959-0108", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Annett.Stange@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Georg-August-Universit\u00e4t G\u00f6ttingen;Leibniz Centre for Agricultural Landscape Research (ZALF);Leibniz Centre for Agricultural Landscape Research;Christian-Albrechts-Universit\u00e4t zu Kiel;Max-Planck-Institut f\u00fcr Biogeochemie, Jena", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/12, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=f48d4271-8909-48b9-812e-3b083c5e0116", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Soil_Respiration.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f48d4271-8909-48b9-812e-3b083c5e0116", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "f48d4271-8909-48b9-812e-3b083c5e0116", "name": "item", "description": "f48d4271-8909-48b9-812e-3b083c5e0116", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f48d4271-8909-48b9-812e-3b083c5e0116"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-05T00:00:00Z"}}, {"id": "8fba18c5-c5dc-4119-92a8-bc75398e6541", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[11.27, 52.93], [11.27, 53.19], [11.94, 53.19], [11.94, 52.93], [11.27, 52.93]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Pinus sylvestris"}, {"id": "wood production"}, {"id": "logging"}, {"id": "timberyards"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "wood stack"}, {"id": "photo-optical measurement"}, {"id": "RVR"}], "scheme": "Individual"}, {"concepts": [{"id": "Bodenbedeckung"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Prignitz"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-09-04", "type": "Dataset", "created": "2025-08-13", "language": "eng", "title": "Comparison of wood measurement methods and conversion factors for Scots pine", "description": "This dataset contains stack and log volume measurements for Scots pine assortments collected in July 2021 near Gadow (Prignitz), NE Germany (53.08080, 11.62452). Several measurement methods were applied: harvester log measurement (harvester), opto-electronic log measurement (sawmill), manual sectional volumetric measuring method for stacks (RVR), adapted sectional volumetric measuring method for stacks (RVRprxis), photo-optical stack measurement (FOVEA), and truck load scanning (truck scanning). The data were analyzed in order to i) compare the measurement systems on a one-to-one basis, i.e., to compare the harvester measurement with the opto-electronic measurement at the sawmill; ii) compare the German manual sectional volumetric measurement method according to the Framework agreement for the trade in raw timber in Germany (Rahmenvereinbarung f\u00fcr den Rohholzhandel in Deutschland, RVR) with an adapted sectional volumetric measurement method used in practice (RVRprxis), and an app-based photo-optical system; iii) compare the manual sectional volumetric measurement method with an electronic measurement system for truck loads for industrial timber assortments and iv) derive conversion factors for converting the gross volumes of timber stacks to the volume of solid wood under bark. This table contains the index of all tables forming this data collection.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Pinus sylvestris", "wood production", "logging", "timberyards", "opendata", "wood stack", "photo-optical measurement", "RVR", "Bodenbedeckung", "Germany", "Brandenburg", "Prignitz"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Ferr\u00e9ol Berendt", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Ferreol.Berendt@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6285-7590", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Iman Bajalan", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Iman.Bajalan@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0003-0125-8292", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Fabian Arndt", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "fabiarndt@web.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tobias Cremer", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Tobias.Cremer@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-7866-944X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"organization": "Eberswalde University for Sustainable Development", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 0/4, table: Index"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=8fba18c5-c5dc-4119-92a8-bc75398e6541", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Wood pile.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8fba18c5-c5dc-4119-92a8-bc75398e6541", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "8fba18c5-c5dc-4119-92a8-bc75398e6541", "name": "item", "description": "8fba18c5-c5dc-4119-92a8-bc75398e6541", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/8fba18c5-c5dc-4119-92a8-bc75398e6541"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-09-04T00:00:00Z"}}, {"id": "0c882639-9fb3-4b0d-8636-2998362b3281", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[13.64, 52.96], [13.64, 52.97], [13.65, 52.97], [13.65, 52.96], [13.64, 52.96]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "Pinus sylvestris"}, {"id": "forest trees"}, {"id": "forest management"}, {"id": "forest products"}, {"id": "wood production"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}, {"id": "forest operation"}, {"id": "semi-mechanized timber harvesting"}, {"id": "productivity"}, {"id": "residual stand damage"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Barnim"}, {"id": "forestry Gro\u00df Sch\u00f6nebeck"}, {"id": "district Kienhorst"}, {"id": "district 64a2"}, {"id": "63a5"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2025-02-25", "created": "2025-01-30", "language": "eng", "title": "Productivity, costs and residual stand damage of timber harvesting methods in Scots pine stands with extended distance between skid trails - Time study winching", "description": "Recording of the times needed for the winching of the trees by cable tractor.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-7msw-9p29); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "Pinus sylvestris", "forest trees", "forest management", "forest products", "wood production", "opendata", "forest operation", "semi-mechanized timber harvesting", "productivity", "residual stand damage", "Boden", "Germany", "Brandenburg", "Barnim", "forestry Gro\u00df Sch\u00f6nebeck", "district Kienhorst", "district 64a2", "63a5"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Maximilian Jakob", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Maximilian.jakob@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Hanna Wagner", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "hanna.wagner@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tobias Cremer", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Tobias.cremer@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Ferr\u00e9ol Berendt", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Ferreol.berendt@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Ferr\u00e9ol Berendt", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Ferreol.berendt@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"name": "Tobias Cremer", "organization": "Eberswalde University for Sustainable Development", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Tobias.cremer@hnee.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Eberswalde University for Sustainable Development", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 2/8, table: Time study winching"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid=0c882639-9fb3-4b0d-8636-2998362b3281", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/time_study_winching1.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/time_study_winching2.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/38a9d966-ea14-4bbc-931e-04c59f860f0c", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "0c882639-9fb3-4b0d-8636-2998362b3281", "name": "item", "description": "0c882639-9fb3-4b0d-8636-2998362b3281", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/0c882639-9fb3-4b0d-8636-2998362b3281"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-02-25T00:00:00Z"}}, {"id": "89f6ed41-879f-4844-a4f0-3f298c977876", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15], [12.99, 53.15]]]}, "properties": {"themes": [{"concepts": [{"id": "farming"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil"}, {"id": "soil respiration"}, {"id": "soil air"}, {"id": "soil temperature"}, {"id": "soil water content"}, {"id": "Fagus sylvatica"}, {"id": "Pinus sylvestris"}, {"id": "measurement"}], "scheme": "AGROVOC Multilingual agricultural thesaurus"}, {"concepts": [{"id": "opendata"}], "scheme": "Individual"}, {"concepts": [{"id": "Boden"}], "scheme": "GEMET - INSPIRE themes, version 1.0"}, {"concepts": [{"id": "Germany"}, {"id": "Brandenburg"}, {"id": "Barnim"}, {"id": "Ostprignitz-Ruppin"}], "scheme": "individual"}], "rights": "Restrictions applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations or warnings on using the resource or metadata. Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-02-05", "created": "2023-11-28", "language": "eng", "title": "Soil respiration of a European beech and a Scots pine forest - Meteorology (beech forest)", "description": "Air pressure, air temperature and soil temperature below humus layer within the beech forest.\n\nGeneral description see mother table: (https://doi.org/10.4228/zalf-g5pj-m724); Related datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["Soil", "soil respiration", "soil air", "soil temperature", "soil water content", "Fagus sylvatica", "Pinus sylvestris", "measurement", "opendata", "Boden", "Germany", "Brandenburg", "Barnim", "Ostprignitz-Ruppin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder Strasse 84"], "city": "M\u00fcncheberg", "administrativeArea": "Brandenburg", "postalCode": "15374", "country": "Germany"}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "https://ror.org/01ygyzs83", "name_url": "", "description": "ROR", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Stephan Wirth", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "swirth@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Valentin Gartiser", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "valentin.gartiser@stud.uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-5320-374X", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Sinikka Jasmin Paulus", "organization": "Max-Planck-Institut f\u00fcr Biogeochemie, Jena", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "spaulus@bgc-jena.mpg.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-8908-7987", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Christoph Haas", "organization": "Christian-Albrechts-Universit\u00e4t zu Kiel", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "c.haas@soils.uni-kiel.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-5272-4428", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Horst H. Gerke", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "gerke@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-6232-7688", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Martin Maier", "organization": "Georg-August-Universit\u00e4t G\u00f6ttingen", "position": null, "roles": ["author"], "phones": [{"value": null}], "emails": [{"value": "martin.maier@uni-goettingen.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0002-7959-0108", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Hubert Jochheim", "organization": "Leibniz Centre for Agricultural Landscape Research (ZALF)", "position": null, "roles": ["projectLeader"], "phones": [{"value": null}], "emails": [{"value": "Hubert.jochheim@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": {"url": null, "protocol": null, "protocol_url": "", "name": "0000-0001-8047-4553", "name_url": "", "description": "ORCID", "description_url": "", "applicationprofile": null, "applicationprofile_url": "", "function": null}}]}, {"name": "Dieter Sowa", "organization": "Leibniz Centre for Agricultural Landscape Research", "position": null, "roles": ["dataCollector"], "phones": [{"value": null}], "emails": [{"value": "Annett.Stange@zalf.de"}], "addresses": [{"deliveryPoint": [null], "city": null, "administrativeArea": null, "postalCode": null, "country": null}], "links": [{"href": null}]}, {"organization": "Georg-August-Universit\u00e4t G\u00f6ttingen;Leibniz Centre for Agricultural Landscape Research (ZALF);Leibniz Centre for Agricultural Landscape Research;Christian-Albrechts-Universit\u00e4t zu Kiel;Max-Planck-Institut f\u00fcr Biogeochemie, Jena", "roles": ["contributor"]}], "title_alternate": "Data collection: Part 5/12, table: Meteorology (beech forest)"}, "links": [{"href": "https://maps.bonares.de/mapapps/resources/apps/bonares/index.html?lang=en&mid= 89f6ed41-879f-4844-a4f0-3f298c977876", "rel": "information"}, {"href": "https://metadata.bonares.de:443/smartEditor/preview/Soil_Respiration.png", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/f48d4271-8909-48b9-812e-3b083c5e0116", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "89f6ed41-879f-4844-a4f0-3f298c977876", "name": "item", "description": "89f6ed41-879f-4844-a4f0-3f298c977876", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/89f6ed41-879f-4844-a4f0-3f298c977876"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-02-05T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Pinus+sylvestris&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=Pinus+sylvestris&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=Pinus+sylvestris&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Pinus+sylvestris&offset=41", "hreflang": "en-US"}], "numberMatched": 41, "numberReturned": 41, "distributedFeatures": [], "timeStamp": "2026-04-04T11:57:48.314427Z"}