Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: application in southern Finland

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Forsius , M , Kujala , H , Minunno , F , Holmberg , M , Leikola , N , Mikkonen , N , Autio , I , Paunu , V-V , Tanhuanpää , T , Hurskainen , P , Mäyrä , J , Kivinen , S , Keski-Saari , S , Kosenius , A-K , Kuusela , S , Virkkala , R , Viinikka , A , Vihervaara , P , Akujarvi , A , Bäck , J , Karvosenoja , N , Kumpula , T , Kuzmin , A , Mäkelä , A , Moilanen , A , Ollikainen , M , Pekkonen , M , Peltoniemi , M , Poikolainen , L , Rankinen , K , Rasilo , T , Tuominen , S , Valkama , J , Vanhala , P & Heikkinen , R K 2021 , ' Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: application in southern Finland ' , The Science of the Total Environment , vol. 775 , 145847 . https://doi.org/10.1016/j.scitotenv.2021.145847

Title: Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: application in southern Finland
Author: Forsius, Martin; Kujala, Heini; Minunno, Francesco; Holmberg, Maria; Leikola, Niko; Mikkonen, Ninni; Autio, Iida; Paunu, Ville-Veikko; Tanhuanpää, Topi; Hurskainen, Pekka; Mäyrä, Janne; Kivinen, Sonja; Keski-Saari, Sarita; Kosenius, Anna-Kaisa; Kuusela, Saija; Virkkala, Raimo; Viinikka, Arto; Vihervaara, Petteri; Akujarvi, Anu; Bäck, Jaana; Karvosenoja, Niko; Kumpula, Timo; Kuzmin, Anton; Mäkelä, Annikki; Moilanen, Atte; Ollikainen, Markku; Pekkonen, Minna; Peltoniemi, Mikko; Poikolainen, Laura; Rankinen, Katri; Rasilo, Terhi; Tuominen, Sakari; Valkama, Jari; Vanhala, Pekka; Heikkinen, Risto K
Contributor organization: Unit of Biodiversity Informatics
Finnish Museum of Natural History
Ecosystem processes (INAR Forest Sciences)
Department of Forest Sciences
Forest Health Group
Laboratory of Forest Resources Management and Geo-information Science
Department of Economics and Management
Environmental and Resource Economics
Forest Ecology and Management
Forest Modelling Group
Zoology
Date: 2021-06-25
Language: eng
Number of pages: 16
Belongs to series: The Science of the Total Environment
ISSN: 0048-9697
DOI: https://doi.org/10.1016/j.scitotenv.2021.145847
URI: http://hdl.handle.net/10138/328484
Abstract: The challenges posed by climate change and biodiversity loss are deeply interconnected. Successful co-managing of these tangled drivers requires innovative methods that can prioritize and target management actions against multiple criteria, while also enabling cost-effective land use planning and impact scenario assessment. This paper synthesises the development and application of an integrated multidisciplinary modelling and evaluation framework for carbon and biodiversity in forest systems. By analysing and spatio-temporally modelling carbon processes and biodiversity elements, we determine an optimal solution for their co-management in the study landscape. We also describe how advanced Earth Observation measurements can be used to enhance mapping and monitoring of biodiversity and ecosystem processes. The scenarios used for the dynamic models were based on official Finnish policy goals for forest management and climate change mitigation. The development and testing of the system were executed in a large region in southern Finland (Kokemäenjoki basin, 27 024 km2) containing highly instrumented LTER (Long-Term Ecosystem Research) stations; these LTER data sources were complemented by fieldwork, remote sensing and national data bases. In the study area, estimated total net emissions were currently 4.2 TgCO2eq a-1, but modelling of forestry measures and anthropogenic emission reductions demonstrated that it would be possible to achieve the stated policy goal of carbon neutrality by low forest harvest intensity. We show how this policy-relevant information can be further utilised for optimal allocation of set-aside forest areas for nature conservation, which would significantly contribute to preserving both biodiversity and carbon values in the region. Biodiversity gain in the area could be increased without a loss of carbon-related benefits.The challenges posed by climate change and biodiversity loss are deeply interconnected. Successful co-managing of these tangled drivers requires innovative methods that can prioritize and target management actions against multiple criteria, while also enabling cost-effective land use planning and impact scenario assessment. This paper synthesises the development and application of an integrated multidisciplinary modelling and evaluation framework for carbon and biodiversity in forest systems. By analysing and spatio-temporally modelling carbon processes and biodiversity elements, we determine an optimal solution for their co-management in the study landscape. We also describe how advanced Earth Observation measurements can be used to enhance mapping and monitoring of biodiversity and ecosystem processes. The scenarios used for the dynamic models were based on official Finnish policy goals for forest management and climate change mitigation. The development and testing of the system were executed in a large region in southern Finland (Kokemäenjoki basin, 27,024 km2) containing highly instrumented LTER (Long-Term Ecosystem Research) stations; these LTER data sources were complemented by fieldwork, remote sensing and national data bases. In the study area, estimated total net emissions were currently 4.2 TgCO2eq a−1, but modelling of forestry measures and anthropogenic emission reductions demonstrated that it would be possible to achieve the stated policy goal of carbon neutrality by low forest harvest intensity. We show how this policy-relevant information can be further utilized for optimal allocation of set-aside forest areas for nature conservation, which would significantly contribute to preserving both biodiversity and carbon values in the region. Biodiversity gain in the area could be increased without a loss of carbon-related benefits.
Subject: 1172 Environmental sciences
carbon neutrality
greenhouse gases
scenarios
emissions
prioritization
forests
remote sensing
indicators
economic incentives
LTER
Carbon neutrality
Greenhouse gases
Scenarios
Emissions
Prioritization
Forests
Remote sensing
Indicators
Economic incentives
LTER
TREE SPECIES CLASSIFICATION
LASER-SCANNING DATA
FOREST BIODIVERSITY
BOREAL FORESTS
ECOSYSTEM SERVICES
GREENHOUSE-GAS
SENTINEL-2
INVENTORY
CALIBRATION
IMPACTS
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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