{"type": "FeatureCollection", "features": [{"id": "10.1111/gcbb.12255", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:26Z", "type": "Journal Article", "created": "2015-02-19", "title": "Bioenergy Harvest, Climate Change, And Forest Carbon In The Oregon Coast Range", "description": "Abstract<p>Forests provide important ecological, economic, and social services, and recent interest has emerged in the potential for using residue from timber harvest as a source of renewable woody bioenergy. The long\uffe2\uff80\uff90term consequences of such intensive harvest are unclear, particularly as forests face novel climatic conditions over the next century. We used a simulation model to project the long\uffe2\uff80\uff90term effects of management and climate change on above\uffe2\uff80\uff90 and belowground forest carbon storage in a watershed in northwestern Oregon. The multi\uffe2\uff80\uff90ownership watershed has a diverse range of current management practices, including little\uffe2\uff80\uff90to\uffe2\uff80\uff90no harvesting on federal lands, short\uffe2\uff80\uff90rotation clear\uffe2\uff80\uff90cutting on industrial land, and a mix of practices on private nonindustrial land. We simulated multiple management scenarios, varying the rate and intensity of harvest, combined with projections of climate change. Our simulations project a wide range of total ecosystem carbon storage with varying harvest rate, ranging from a 45% increase to a 16% decrease in carbon compared to current levels. Increasing the intensity of harvest for bioenergy caused a 2\uffe2\uff80\uff933% decrease in ecosystem carbon relative to conventional harvest practices. Soil carbon was relatively insensitive to harvest rotation and intensity, and accumulated slowly regardless of harvest regime. Climate change reduced carbon accumulation in soil and detrital pools due to increasing heterotrophic respiration, and had small but variable effects on aboveground live carbon and total ecosystem carbon. Overall, we conclude that current levels of ecosystem carbon storage are maintained in part due to substantial portions of the landscape (federal and some private lands) remaining unharvested or lightly managed.\uffc2\uffa0Increasing the intensity of harvest for bioenergy on currently harvested land, however,\uffc2\uffa0led to a relatively small reduction in the ability of forests to store carbon. Climate change is unlikely to substantially alter carbon storage in these forests, absent shifts in disturbance regimes.</p>", "keywords": ["0106 biological sciences", "Carbon dioxide mitigation", "Forest ecology -- Oregon -- Oregon Coast Range", "Forest biomass", "13. Climate action", "Carbon cycle (Biogeochemistry)", "Biomass energy", "Forest Biology", "15. Life on land", "01 natural sciences", "7. Clean energy", "Climatic change", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1111/gcbb.12255"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/GCB%20Bioenergy", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/gcbb.12255", "name": "item", "description": "10.1111/gcbb.12255", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/gcbb.12255"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-05-25T00:00:00Z"}}, {"id": "10.1002/bbb.1407", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:05Z", "type": "Journal Article", "created": "2013-04-12", "title": "The \u2018Debt\u2019 Is In The Detail: A Synthesis Of Recent Temporal Forest Carbon Analyses On Woody Biomass For\u2009Energy", "description": "Abstract<p>The temporal imbalance between the release and sequestration of forest carbon has raised a fundamental concern about the climate mitigation potential of forest biomass for energy. The potential carbon debt caused by harvest and the resulting time spans needed to reach pre\uffe2\uff80\uff90harvest carbon levels (payback) or those of a reference case (parity) have become important parameters for climate and bioenergy policy developments. The present range of analyses however varies in assumptions, regional scopes, and conclusions. Comparing these modeling efforts, we reveal that they apply different principle modeling frameworks while results are largely affected by the same parameters. The size of the carbon debt is mostly determined by the type and amount of biomass harvested and whether land\uffe2\uff80\uff90use change emissions need to be accounted for. Payback times are mainly determined by plant growth rates, i.e. the forest biome, tree species, site productivity and management. Parity times are primarily influenced by the choice and construction of the reference scenario and fossil carbon displacement efficiencies. Using small residual biomass (harvesting/processing), deadwood from highly insect\uffe2\uff80\uff90infected sites, or new plantations on highly productive or marginal land offers (almost) immediate net carbon benefits. Their eventual climate mitigation potential however is determined by the effectiveness of the fossil fuel displacement. We deem it therefore unsuitable to define political guidance by feedstock alone. Current global wood pellet production is predominantly residue based. Production increases based on low\uffe2\uff80\uff90grade stemwood are expected in regions with a downturn in the local wood product sector, highlighting the importance of accounting for regional forest carbon trends. \uffc2\uffa9 2013 Society of Chemical Industry and John Wiley &amp; Sons, Ltd</p>", "keywords": ["carbon payback", "0211 other engineering and technologies", "carbon neutrality", "02 engineering and technology", "bioenergy", "15. Life on land", "7. Clean energy", "13. Climate action", "11. Sustainability", "SDG 13 - Climate Action", "0202 electrical engineering", " electronic engineering", " information engineering", "forest biomass", "carbon parity", "Temporal carbon", "carbon debt", "SDG 15 - Life on Land"]}, "links": [{"href": "https://doi.org/10.1002/bbb.1407"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biofuels%2C%20Bioproducts%20and%20Biorefining", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1002/bbb.1407", "name": "item", "description": "10.1002/bbb.1407", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1002/bbb.1407"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-04-12T00:00:00Z"}}, {"id": "10.1016/j.jclepro.2013.04.032", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:49Z", "type": "Journal Article", "created": "2013-05-10", "title": "Current Limits Of Life Cycle Assessment Framework In Evaluating Environmental Sustainability \u2013 Case Of Two Evolving Biofuel Technologies", "description": "The growing need to use biofuel raw materials that do not compete with food and feed have resulted in a growing interest in lignocellulosic materials and microalgae. However, the life cycle environmental benefits of both biofuels have been questioned. The aim of this study was to evaluate how environmental sustainability of forest-based and microalgae biodiesel can be estimated by using the life cycle assessment framework. These biofuel chains were chosen because they are contrasting systems, as the first one is based on a \u201cnatural\u201d feedstock production system, while the second one is an entirely anthropogenic system using an artificial infrastructure and external inputs to grow microalgae. This study focuses on life cycle impact categories still under methodological development, namely resource depletion, land use and land use change, water use, soil quality impacts and biodiversity. In addition, climate impacts were quantified in order to exemplify the uncertainty of the results and the complexity of estimating the parameters. This study demonstrates the difficulty to assess the absolute range of the total environmental impacts of the two systems. The results propose that the greenhouse gas emissions of microalgae biodiesel are higher than those of forest residue-based biodiesel, but the results of the microalgae chain are very uncertain due to the early development stage of the technology, and due to assumptions made concerning the electricity mix. On the other hand, the microalgae system has other advantages such as low competition on productive land and low biodiversity impacts. The findings help to recognise the main characteristics of the two production chains, and the main remaining research issues on bioenergy assessment along with the methodological development needs of life cycle approaches.", "keywords": ["[SDE] Environmental Sciences", "0211 other engineering and technologies", "biodiesel", "02 engineering and technology", "7. Clean energy", "ENVIRONMENTAL IMPACTS", "MICROALGAE", "12. Responsible consumption", "BIODIESEL", "greenhouse gas emission", "life cycle assessment", "11. Sustainability", "SDG 13 - Climate Action", "0202 electrical engineering", " electronic engineering", " information engineering", "forest biomass", "SDG 7 - Affordable and Clean Energy", "Innovation", "ta218", "SDG 15 - Life on Land", "2. Zero hunger", "LIFE CYCLE ASSESSMENT", "microalgae", "FOREST BIOMASS", "environmental impacts", "15. Life on land", "GREENHOUSE GAS EMISSION", "13. Climate action", "and Infrastructure", "SDG 12 - Responsible Consumption and Production", "SDG 9 - Industry"]}, "links": [{"href": "https://doi.org/10.1016/j.jclepro.2013.04.032"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Journal%20of%20Cleaner%20Production", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.jclepro.2013.04.032", "name": "item", "description": "10.1016/j.jclepro.2013.04.032", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.jclepro.2013.04.032"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-09-01T00:00:00Z"}}, {"id": "10.1111/j.1365-2486.2012.02689.x", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:35Z", "type": "Journal Article", "created": "2012-03-08", "title": "Towards An Integrated Global Framework To Assess The Impacts Of Land Use And Management Change On Soil Carbon: Current Capability And Future Vision", "description": "Abstract<p>Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodologies commonly underpin project\uffe2\uff80\uff90scale carbon accounting for changes in land use and management and are used in frameworks for Life Cycle Assessment and carbon footprinting of food and energy crops. These methodologies were intended for use at large spatial scales. This can introduce error in predictions at finer spatial scales. There is an urgent need for development and implementation of higher tier methodologies that can be applied at fine spatial scales (e.g. farm/project/plantation) for food and bioenergy crop greenhouse gas (GHG) accounting to facilitate decision making in the land\uffe2\uff80\uff90based sectors. Higher tier methods have been defined by IPCC and must be well evaluated and operate across a range of domains (e.g. climate region, soil type, crop type, topography), and must account for land use transitions and management changes being implemented. Furthermore, the data required to calibrate and drive the models used at higher tiers need to be available and applicable at fine spatial resolution, covering the meteorological, soil, cropping system and management domains, with quantified uncertainties. Testing the reliability of the models will require data either from sites with repeated measurements or from chronosequences. We review current global capability for estimating changes in soil carbon at fine spatial scales and present a vision for a framework capable of quantifying land use change and management impacts on soil carbon, which could be used for addressing issues such as bioenergy and biofuel sustainability, food security, forest protection, and direct/indirect impacts of land use change. The aim of this framework is to provide a globally accepted standard of carbon measurement and modelling appropriate for GHG accounting that could be applied at project to national scales (allowing outputs to be scaled up to a country level), to address the impacts of land use and land management change on soil carbon.</p>", "keywords": ["land use change", "Environmental Impact Assessment", "550", "ecosystem model", "Carbon Sequestration Science", "01 natural sciences", "7. Clean energy", "upland grassland", "soil", "stock change", "12. Responsible consumption", "11. Sustainability", "forest biomass", "Environmental assessment and monitoring", "soil carbon", "organic-matter", "agriculture", "0105 earth and related environmental sciences", "2. Zero hunger", "model", "Ecology", "land management", "assimilated carbon", "land use", "04 agricultural and veterinary sciences", "15. Life on land", "long-term experiments", "southern brazil", "monitoring", "high temporal resolution", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "biodiversity conservation", "environment", "Environmental Sciences"]}, "links": [{"href": "https://doi.org/10.1111/j.1365-2486.2012.02689.x"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Global%20Change%20Biology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1111/j.1365-2486.2012.02689.x", "name": "item", "description": "10.1111/j.1365-2486.2012.02689.x", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1111/j.1365-2486.2012.02689.x"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2012-04-09T00:00:00Z"}}, {"id": "10.1139/x88-221", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:19:59Z", "type": "Journal Article", "created": "2007-12-19", "title": "Biomass And Nutrients In Regenerating Woody Vegetation Following Whole-Tree And Conventional Harvest In A Northern Mixed Forest", "description": "<p> Biomass and nutrient contents of regenerating woody plants and litter fall were measured after a northern mixed conifer\uffe2\uff80\uff93hardwood forest was harvested by conventional and whole-tree methods. Before harvest, the central Ontario study site was occupied by a 95-year-old pine (Pinusresinosa, P. strobus) and aspen (Populustremuloides, P. grandidentata) stand growing on gently rolling, gravel-free outwash sands. Four years after harvest, aspen abundance increased 100-fold in both harvested areas, with higher densities after whole-tree harvest (WTH) (4.1\uffe2\uff80\uff82stems/m2) than after conventional harvest (CH) (2.7\uffe2\uff80\uff82stems/m2). No self-thinning of aspen occurred between 2 and 4 years after harvest. Total aboveground woody biomass accumulated at 2.0\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 in the WTH area and 1.5\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 in the CH area; the preharvest rate was 2.0\uffe2\uff80\uff82t\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921. Peak autumn litter production occurred earlier in the harvested areas than in an adjacent uncut area. Cycling of N and K in litter fall returned to preharvest rates after 4 years. Cycling of Ca in litter fall was lower after WTH than after CH. Vegetation uptake of N and K (litter fall plus woody biomass) in the harvested areas in year 4 exceeded the preharvest value. Increased N accumulation in woody biomass (3.0\uffe2\uff80\uff82kg\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 before harvest, 10.6\uffe2\uff80\uff82kg\uffe2\uff80\uffa2ha\uffe2\uff88\uff921\uffe2\uff80\uffa2year\uffe2\uff88\uff921 after WTH) would place a relatively greater demand on forest floor N pools in the WTH than in the CH area owing to lack of N input in logging slash. Although WTH did not reduce initial rates of biomass production, Populus spp. had lower concentrations of N, Ca, and Mg in the WTH area than in the CH area. There may be a danger that WTH on less fertile sites in the region will produce dense, unproductive aspen stands with low rates of self-thinning. </p>", "keywords": ["0106 biological sciences", "Spermatophyta", "Angiosperms", "Broadleaves", "Forest litter", "Microorganisms", "Coniferopsida: Gymnospermae", "Gymnosperms", "01 natural sciences", "logging", "Dicots", "pines", "nutrients", "Spermatophytes", "Natural regeneration", "Plant nutrition", "Plantae", "Forest Sciences", "Vascular Plants", "biomass", "Stand characteristics", "Salicaceae: Dicotyledones", "thinning", "Soil morphology", "Cycling", "Forestry", "Pinus Resinosa Pinus Strobus Populus Tremuloides Populus Grandidentata Forest Biomass Energy Forest Products", "Plants", "15. Life on land", "Conifers", "Angiospermae", "composition", "whole tree logging", "nutrient reserves", "natural thinning", "measurement", "ecology"], "contacts": [{"organization": "Hendrickson, O.Q.", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1139/x88-221"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Canadian%20Journal%20of%20Forest%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1139/x88-221", "name": "item", "description": "10.1139/x88-221", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1139/x88-221"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "1988-11-01T00:00:00Z"}}, {"id": "10.1186/s40663-019-0163-5", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:20:06Z", "type": "Journal Article", "created": "2019-02-07", "title": "Spatial distribution of the potential forest biomass availability in Europe", "description": "Abstract Background European forests are considered a crucial resource for supplying biomass to a growing bio-economy in Europe. This study aimed to assess the potential availability of forest biomass from European forests and its spatial distribution. We tried to answer the questions (i) how is the potential forest biomass availability spatially distributed across Europe and (ii) where are hotspots of potential forest biomass availability located? Methods The spatial distribution of woody biomass potentials was assessed for 2020 for stemwood, residues (branches and harvest losses) and stumps for 39 European countries. Using the European Forest Information SCENario (EFISCEN) model and international forest statistics, we estimated the theoretical amount of biomass that could be available based on the current and future development of the forest age-structure, growing stock and increment and forest management regimes. We combined these estimates with a set of environmental (site productivity, soil and water protection and biodiversity protection) and technical (recovery rate, soil bearing capacity) constraints, which reduced the amount of woody biomass that could potentially be available. We mapped the potential biomass availability at the level of administrative units and at the 10\u2009km\u00a0\u00d7\u00a010\u2009km grid level to gain insight into the spatial distribution of the woody biomass potentials. Results According to our results, the total availability of forest biomass ranges between 357 and 551 Tg dry matter per year. The largest potential supply of woody biomass per unit of land can be found in northern Europe (southern Finland and Sweden, Estonia and Latvia), central Europe (Austria, Czech Republic, and southern Germany), Slovenia, southwest France and Portugal. However, large parts of these potentials are already used to produce materials and energy. The distribution of biomass potentials that are currently unused only partially coincides with regions that currently have high levels of wood production. Conclusions Our study shows how the forest biomass potentials are spatially distributed across the European continent, thereby providing insight into where policies could focus on an increase of the supply of woody biomass from forests. Future research on potential biomass availability from European forests should also consider to what extent forest owners would be willing to mobilise additional biomass from their forests and at what costs the estimated potentials could be mobilised.", "keywords": ["Europe", "2. Zero hunger", "Forest biomass", "Ecology", "13. Climate action", "Forest biomass", " EFISCEN", " Europe", " Potential supply", " Spatial distribution", "EFISCEN", "Potential supply", "Spatial distribution", "15. Life on land", "01 natural sciences", "QH540-549.5", "0105 earth and related environmental sciences"]}, "links": [{"href": "http://link.springer.com/content/pdf/10.1186/s40663-019-0163-5.pdf"}, {"href": "https://doi.org/10.1186/s40663-019-0163-5"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Forest%20Ecosystems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1186/s40663-019-0163-5", "name": "item", "description": "10.1186/s40663-019-0163-5", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1186/s40663-019-0163-5"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-02-07T00:00:00Z"}}, {"id": "10.1371/journal.pone.0116391", 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\u062e\u0637\u0648\u0637 \u0627\u0644\u0639\u0631\u0636 \u0648\u0627\u0644\u0645\u0646\u0627\u062e \u0648\u0627\u0644\u062a\u0631\u0628\u0629. \u062a\u0648\u0641\u0631 \u0647\u0630\u0647 \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0623\u0648\u0644\u0649 \u0648\u0627\u0633\u0639\u0629 \u0627\u0644\u0646\u0637\u0627\u0642 \u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0623\u063a\u0635\u0627\u0646 \u0648\u0633\u062a\u062d\u0633\u0646 \u0641\u0647\u0645\u0646\u0627 \u0644\u0644\u0643\u064a\u0645\u064a\u0627\u0621 \u0627\u0644\u062c\u064a\u0648\u0644\u0648\u062c\u064a\u0629 \u0627\u0644\u062d\u064a\u0648\u064a\u0629 \u0644\u0644\u0643\u0631\u0628\u0648\u0646 \u0648\u0627\u0644\u0645\u063a\u0630\u064a\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0627\u0644\u0623\u062e\u0631\u0649 \u0641\u064a \u0627\u0644\u0646\u0638\u0645 \u0627\u0644\u0625\u064a\u0643\u0648\u0644\u0648\u062c\u064a\u0629 \u0644\u0644\u063a\u0627\u0628\u0627\u062a.", "keywords": ["0106 biological sciences", "China", "Nitrogen", "Science", "Climate", "Evolutionary biology", "Forests", "Estimation of Forest Biomass and Carbon Stocks", "01 natural sciences", "Trees", "Soil", "Biodiversity Conservation and Ecosystem Management", "FOS: Mathematics", "Biology", "Nature and Landscape Conservation", "Global and Planetary Change", "Ecology", "Geography", "Global Forest Drought Response and Climate Change", "Q", "R", "Phosphorus", "15. Life on land", "Carbon", "Archaeology", "Combinatorics", "13. Climate action", "Tree Allometry", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Tree (set theory)", "Medicine", "Embryophyta", "Tree Height-Diameter Models", "Biomass Estimation", "Mathematics", "Research Article"]}, "links": [{"href": "https://doi.org/10.1371/journal.pone.0116391"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/PLOS%20ONE", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1371/journal.pone.0116391", "name": "item", "description": "10.1371/journal.pone.0116391", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1371/journal.pone.0116391"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2015-02-09T00:00:00Z"}}, {"id": "10.5194/bg-10-3691-2013", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:22:43Z", "type": "Journal Article", "created": "2013-01-14", "title": "A meta-analysis on the impacts of partial cutting on forest structure and carbon storage", "description": "<p>Abstract. Partial cutting, which removes some individual trees from a forest, is one of the major and widespread forest management practices that can significantly alter both forest structure and carbon (C) storage. Using 746 observations from 82 publications, we synthesized the impacts of partial cutting on three variables associated with forest structure (i.e. mean annual growth of diameter at breast height (DBH), basal area (BA), and volume) and four variables related to various C stock components (i.e. aboveground biomass C (AGBC), understory C, forest floor C, and mineral soil C). Results shows that the growth of DBH elevated by 112% after partial cutting, compared to the uncut control, while stand BA and volume reduced immediately by 34% and 29%, respectively. On average, partial cutting reduced AGBC by 43%, increased understory C storage by 392%, but did not show significant effects on C storages on forest floor and in mineral soil. All the effects on DBH growth, stand BA, volume, and AGBC intensified linearly with cutting intensity (CI) and decreased linearly with the number of recovery years (RY). In addition to the strong impacts of CI and RY, other factors such as climate zone and forest type also affected forest responses to partial cutting. The data assembled in this synthesis were not sufficient to determine how long it would take for a complete recovery after cutting because long-term experiments were rare. Future efforts should be tailored to increase the duration of the experiments and balance geographic locations of field studies.                         </p>", "keywords": ["Biomass (ecology)", "0106 biological sciences", "Sustainable forest management", "Volume (thermodynamics)", "Diameter at breast height", "Forest Carbon Sequestration", "Estimation of Forest Biomass and Carbon Stocks", "Quantum mechanics", "01 natural sciences", "Environmental science", "Basal area", "Agricultural and Biological Sciences", "Life", "Forest structure", "QH501-531", "Development and Impacts of Bioenergy Crops", "FOS: Mathematics", "Climate change", "Carbon stock", "Agroforestry", "Biology", "QH540-549.5", "Nature and Landscape Conservation", "QE1-996.5", "Global and Planetary Change", "Understory", "Forest management", "Ecology", "Geography", "Physics", "Confidence interval", "Statistics", "Canopy", "Life Sciences", "Geology", "Forestry", "15. Life on land", "Clearcutting", "Climate Change Impacts on Forest Carbon Sequestration", "Forest Site Productivity", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Tree Height-Diameter Models", "Agronomy and Crop Science", "Biomass Estimation", "Animal science", "Mathematics"]}, "links": [{"href": "https://doi.org/10.5194/bg-10-3691-2013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Biogeosciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/bg-10-3691-2013", "name": "item", "description": "10.5194/bg-10-3691-2013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/bg-10-3691-2013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-01-14T00:00:00Z"}}, {"id": "10.5281/zenodo.15133040", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:24:03Z", "type": "Dataset", "title": "InfoCarb:\u00a0Forest Inventory of the Autonomous Province of Trento (Trentino), Italy", "description": "InfoCarb: Forest Inventory of the Autonomous Province of Trento (Trentino), Italy\u00a0  Forest Carbon Stocks in the Province of Trento inventory of Trentino based on 150 plots (15 m radius) over 6200 Km2 land area. Estimation of organic carbon pools stored above and below-ground. Quantitative description of forest specific composition and structure. Year 2002.\u00a0  The dataset includes the following .csv formatted files:    INFOCARB_DATASET_(ENG)_v1.0  INFOCARB_SPECIES_(ENG)_v1.0  Metadata InfoCarb (ENG) species codes_v1.0  Metadata InfoCarb categorical variables_v1.0  Metadata InfoCarb data licence and info_v1.0  Metadata InfoCarb numerical variables_v1.0  Metadata InfoCarb species codes_v1.0   \u00a0  Discalimer: The dataset refers to measurements carried out in 150 forest plots in the province of Trentino in the years 2001-2002. A severe windstorm in October 2018 (Vaia storm) caused extensive windthrows over 20 thousand hectares, in most forest areas of the province.  This dataset was prepared as a contribution to the Work Package 4 of the Open Earth Monitor project (funded from the European Union's Horizon Europe research and innovation programme under grant agreement No. 101059548 ) - https://earthmonitor.org", "keywords": ["soil organic carbon", "forest biomass", "forest inventory", "forest composition", "Trentino", "forest structure"], "contacts": [{"organization": "Belelli Marchesini, Luca, Frizzera, Lorenzo,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.5281/zenodo.15133040"}, {"rel": "self", "type": "application/geo+json", "title": "10.5281/zenodo.15133040", "name": "item", "description": "10.5281/zenodo.15133040", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5281/zenodo.15133040"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2025-04-03T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=forest+biomass&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=forest+biomass&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=forest+biomass&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=forest+biomass&offset=9", "hreflang": "en-US"}], "numberMatched": 9, "numberReturned": 9, "distributedFeatures": [], "timeStamp": "2026-04-16T08:36:18.588569Z"}