作者: Annina K.J. Niskanen , Risto K. Heikkinen , Henry Väre , Miska Luoto
DOI: 10.1016/J.BIOCON.2017.06.019
关键词:
摘要: Abstract Determining the drivers, patterns and hotspots of biodiversity can be critical importance in supporting regional conservation planning. However, as described with several different metrics, it is important to investigate their congruence well spatial overlap protected areas. Here, by using extensive data on climate, topography, soil characteristics vascular plants combined boosted regression tree models, we determine key drivers plant diversity along broad environmental gradients northernmost Europe spanning from taiga landscapes treeless tundra. We assess four metrics – species richness, range-rarity threatened local contribution beta examine each other contemporary found that climate plays an role governing diversity, though topo-edaphic are highlighted alongside climatic predictors determining many threatened, near-threatened, range-restricted species. Importantly, have contrasting and, overall, low congruence. Furthermore, existing areas appear offer limited coverage for diversity. Modelling various facets such setting, may provide useful information help conserve a changing climate. Projected aspects congruency insights into processes underlying employed representativeness area networks.