Background:Increasing the use of forest harvest residues for bioenergy production reduces greenhouse emissions from the use of fossil fuels.However,it may also reduce carbon stocks and habitats for deadwood dependent ...Background:Increasing the use of forest harvest residues for bioenergy production reduces greenhouse emissions from the use of fossil fuels.However,it may also reduce carbon stocks and habitats for deadwood dependent species.Consequently,simple tools for assessing the trade-offs of alternative management practices on forest dynamics and their services to people are needed.The objectives of this study were to combine mapping and simulation modelling to investigate the effects of forest management on ecosystem services related to carbon cycle in the case of bioenergy production;and to evaluate the suitability of this approach for assessing ecosystem services at the landscape level.Stand level simulations of forest growth and carbon budget were combined with extensive multi-source forest inventory data across a southern boreal landscape in Finland.Stochastic changes in the stand age class distribution over the study region were simulated to mimic variation in management regimes.Results:The mapping framework produced reasonable estimates of the effects of forest management on a set of key ecosystem service indicators:the annual carbon stocks and fluxes of forest biomass and soil,timber and energy-wood production and the coarse woody litter production over a simulation period 2012–2100.Regular harvesting,affecting the stand age class distribution,was a key driver of the carbon stock changes at a landscape level.Extracting forest harvest residues in the final felling caused carbon loss from litter and soil,particularly with combined aboveground residue and stump harvesting.It also reduced the annual coarse woody litter production,demonstrating negative impacts on deadwood abundance and,consequently,forest biodiversity.Conclusions:The refined mapping framework was suitable for assessing ecosystem services at the landscape level.The procedure contributes to bridging the gap between ecosystem service mapping and detailed simulation modelling in boreal forests.It allows for visualizing ecosystem services as fine resolution maps to support sustainable land use planning.In the future,more detailed models and a wider variety of ecosystem service indicators could be added to develop the method.展开更多
Under the United Nations Decade on Ecosystem Restoration(2021 to 2030),a geographic context-specific issue emerged that how local people would like to support ecological restoration programs.Regarding previous studies...Under the United Nations Decade on Ecosystem Restoration(2021 to 2030),a geographic context-specific issue emerged that how local people would like to support ecological restoration programs.Regarding previous studies,which often identified the key variables at a fixed scale,we formulated the scientific question as follows:how do landscape-level variables influence the impact of individual-level characteristics on residents'willingness to support ecological restoration?Based on a survey of 2,753 households that experienced ecological restoration programs in China's dryland and 4 landscape-level variables,namely,normalized difference vegetation index,land surface temperature,relative humidity,and precipitation,we quantitatively measured the geographic context-specific impacts on residents'willingness to support ecological restoration by multilevel linear models.展开更多
基金supported by Maj and Tor Nessling Foundation through the grant “Coupling carbon sequestration of forests and croplands with ecosystem service assessments”(decision No. 201700251)LIFE+financial instrument of the European Union (LIFE12 ENV/FI/000409, MONIMET)+1 种基金the Academy of Finland Strategic Research Council project (SRC 2017/312559 IBC-CARBON)supported by the Academy of Finland through the grant “Trade-offs and synergies in land-based climate change mitigation and biodiversity conservation”(decision No. 322066)
文摘Background:Increasing the use of forest harvest residues for bioenergy production reduces greenhouse emissions from the use of fossil fuels.However,it may also reduce carbon stocks and habitats for deadwood dependent species.Consequently,simple tools for assessing the trade-offs of alternative management practices on forest dynamics and their services to people are needed.The objectives of this study were to combine mapping and simulation modelling to investigate the effects of forest management on ecosystem services related to carbon cycle in the case of bioenergy production;and to evaluate the suitability of this approach for assessing ecosystem services at the landscape level.Stand level simulations of forest growth and carbon budget were combined with extensive multi-source forest inventory data across a southern boreal landscape in Finland.Stochastic changes in the stand age class distribution over the study region were simulated to mimic variation in management regimes.Results:The mapping framework produced reasonable estimates of the effects of forest management on a set of key ecosystem service indicators:the annual carbon stocks and fluxes of forest biomass and soil,timber and energy-wood production and the coarse woody litter production over a simulation period 2012–2100.Regular harvesting,affecting the stand age class distribution,was a key driver of the carbon stock changes at a landscape level.Extracting forest harvest residues in the final felling caused carbon loss from litter and soil,particularly with combined aboveground residue and stump harvesting.It also reduced the annual coarse woody litter production,demonstrating negative impacts on deadwood abundance and,consequently,forest biodiversity.Conclusions:The refined mapping framework was suitable for assessing ecosystem services at the landscape level.The procedure contributes to bridging the gap between ecosystem service mapping and detailed simulation modelling in boreal forests.It allows for visualizing ecosystem services as fine resolution maps to support sustainable land use planning.In the future,more detailed models and a wider variety of ecosystem service indicators could be added to develop the method.
基金supported by the National Natural Science Foundation of China(W2412142 and 42271292)the Fundamental Research Funds for the Central Universities of China
文摘Under the United Nations Decade on Ecosystem Restoration(2021 to 2030),a geographic context-specific issue emerged that how local people would like to support ecological restoration programs.Regarding previous studies,which often identified the key variables at a fixed scale,we formulated the scientific question as follows:how do landscape-level variables influence the impact of individual-level characteristics on residents'willingness to support ecological restoration?Based on a survey of 2,753 households that experienced ecological restoration programs in China's dryland and 4 landscape-level variables,namely,normalized difference vegetation index,land surface temperature,relative humidity,and precipitation,we quantitatively measured the geographic context-specific impacts on residents'willingness to support ecological restoration by multilevel linear models.
