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Applying a framework for landscape planning under climate change for the conservation of biodiversity in the Finnish boreal forest

doi: 10.1111/gcb.12677
pmid: 25044467
AbstractConservation strategies are often established without consideration of the impact of climate change. However, this impact is expected to threaten species and ecosystem persistence and to have dramatic effects towards the end of the 21st century. Landscape suitability for species under climate change is determined by several interacting factors including dispersal and human land use. Designing effective conservation strategies at regional scales to improve landscape suitability requires measuring the vulnerabilities of specific regions to climate change and determining their conservation capacities. Although methods for defining vulnerability categories are available, methods for doing this in a systematic, cost‐effective way have not been identified. Here, we use an ecosystem model to define the potential resilience of the Finnish forest landscape by relating its current conservation capacity to its vulnerability to climate change. In applying this framework, we take into account the responses to climate change of a broad range of red‐listed species with different niche requirements. This framework allowed us to identify four categories in which representation in the landscape varies among three IPCC emission scenarios (B1, low; A1B, intermediate; A2, high emissions): (i) susceptible (B1 = 24.7%, A1B = 26.4%, A2 = 26.2%), the most intact forest landscapes vulnerable to climate change, requiring management for heterogeneity and resilience; (ii) resilient (B1 = 2.2%, A1B = 0.5%, A2 = 0.6%), intact areas with low vulnerability that represent potential climate refugia and require conservation capacity maintenance; (iii) resistant (B1 = 6.7%, A1B = 0.8%, A2 = 1.1%), landscapes with low current conservation capacity and low vulnerability that are suitable for restoration projects; (iv) sensitive (B1 = 66.4%, A1B = 72.3%, A2 = 72.0%), low conservation capacity landscapes that are vulnerable and for which alternative conservation measures are required depending on the intensity of climate change. Our results indicate that the Finnish landscape is likely to be dominated by a very high proportion of sensitive and susceptible forest patches, thereby increasing uncertainty for landscape managers in the choice of conservation strategies.
- University of Eastern Finland Finland
- Finnish Forest Research Institute Finland
- University of Jyväskylä Finland
- Natural Resources Institute Finland Finland
- University of Copenhagen Denmark
Conservation of Natural Resources, Conservation strategy, 330, conservation strategy, woody debris, Climate Change, Ecology and Evolutionary Biology, ta1172, forest management, 577, Climate change adaptation, 710, Models, Biological, 333, Trees, emission scenarios, Forest gap model, Systematic conservation planning, Taiga, Forest ecosystem model, Ekologia ja evoluutiobiologia, Woody debris, climate change adaptation, Finland, Forest management, metsänkäsittely, forest gap model, Biodiversity, ta4112, climate vulnerability, Climate vulnerability, Landscape conservation capacity, Emission scenarios, ta1181, landscape conservation capacity, systematic conservation planning, forest ecosystem model
Conservation of Natural Resources, Conservation strategy, 330, conservation strategy, woody debris, Climate Change, Ecology and Evolutionary Biology, ta1172, forest management, 577, Climate change adaptation, 710, Models, Biological, 333, Trees, emission scenarios, Forest gap model, Systematic conservation planning, Taiga, Forest ecosystem model, Ekologia ja evoluutiobiologia, Woody debris, climate change adaptation, Finland, Forest management, metsänkäsittely, forest gap model, Biodiversity, ta4112, climate vulnerability, Climate vulnerability, Landscape conservation capacity, Emission scenarios, ta1181, landscape conservation capacity, systematic conservation planning, forest ecosystem model
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
