1. Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: Application in southern Finland
- Author
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Arto Viinikka, Petteri Vihervaara, Mikko Peltoniemi, Anton Kuzmin, Ninni Mikkonen, Pekka Vanhala, Francesco Minunno, Annikki Mäkelä, Janne Mäyrä, Jari Valkama, Iida Autio, Saija Kuusela, Anna-Kaisa Kosenius, Anu Akujärvi, Markku Ollikainen, Sarita Keski-Saari, Risto K. Heikkinen, Niko Leikola, Minna Pekkonen, Timo Kumpula, Atte Moilanen, Maria Holmberg, Katri Rankinen, Pekka Hurskainen, Jaana Bäck, Laura Poikolainen, Raimo Virkkala, Ville-Veikko Paunu, Heini Kujala, Terhi Rasilo, Sonja Kivinen, Topi Tanhuanpää, Sakari Tuominen, Niko Karvosenoja, Martin Forsius, 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, and Zoology
- Subjects
IMPACTS ,Prioritization ,TREE SPECIES CLASSIFICATION ,Environmental Engineering ,010504 meteorology & atmospheric sciences ,Forest management ,Biodiversity ,INVENTORY ,ECOSYSTEM SERVICES ,010501 environmental sciences ,Carbon sequestration ,LTER ,Forests ,01 natural sciences ,Ecosystem services ,Carbon neutrality ,remote sensing ,Scenarios ,11. Sustainability ,greenhouse gases ,BOREAL FORESTS ,GREENHOUSE-GAS ,Environmental Chemistry ,Indicators ,FOREST BIODIVERSITY ,Waste Management and Disposal ,1172 Environmental sciences ,0105 earth and related environmental sciences ,economic incentives ,CALIBRATION ,business.industry ,Environmental resource management ,emissions ,Land-use planning ,15. Life on land ,Pollution ,Climate change mitigation ,SENTINEL-2 ,13. Climate action ,Greenhouse gas ,Environmental science ,business ,LASER-SCANNING DATA - 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.
- Published
- 2021
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