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How to include the impact of climate change in the extinction risk assessment of policy plant species?

handle: 2434/614454 , 10281/418584 , 20.500.11770/290891 , 2108/222371 , 11590/346757 , 11573/1485852 , 11584/249183 , 11581/416575 , 11571/1366516
handle: 2434/614454 , 10281/418584 , 20.500.11770/290891 , 2108/222371 , 11590/346757 , 11573/1485852 , 11584/249183 , 11581/416575 , 11571/1366516
Abstract Climate change can have significant impacts on the survival of plant species. However, it is seldom included in the assessment of the extinction risk according to IUCN Red List criteria. Lack of data and uncertainties of predictions make difficult such inclusion. In our paper we present an approach, in which the effect of climate change on plant species spatial distribution is used to prioritize conservation within IUCN categories. We used, as a case study, 37 Italian policy species, relevant for conservation, and listed in the Habitat Directive and Bern Convention, and for which a Red List (RL) assessment was available. A stochastic SDM incorporating data on plant dispersal, generation length, and habitat fragmentation was used to predict a range shift due to climate change according to two climatic scenarios (RCP 2.6 and 8.5). No species was predicted to become extinct in the considered timespans (2050 and 2070) due to climate change, and only two were characterized by critical decline probabilities. However, all taxa were potentially affected by climate change through a reduction of their range. In all RL categories, species with the highest predicted reduction of range were those from lowlands, where fragmentation of natural habitats has occurred in the last decades. In these cases, despite some limitations, assisted migration can be considered a suitable conservation option.
- University of Pisa Italy
- Università degli studi di Salerno Italy
- Sapienza University of Rome Italy
- Roma Tre University Italy
- University of Milano-Bicocca Italy
Cellular automaton, 580, 570, Conservation policy, Cellular automaton; Climate change; Conservation policy; Random forest; Range shift; Red lists;, cellular automaton; climate change; conservation policy; random forest; range shift; red lists, 333, Cellular automaton; Climate change; Conservation policy; Random forest; Range shift; Red lists; Ecology; Nature and Landscape Conservation, Settore SECS-S/01 - STATISTICA, Range shift, Cellular automaton; Climate change; Conservation policy; Range shift; Random forest; Red lists, Climate change, Red lists, Random forest
Cellular automaton, 580, 570, Conservation policy, Cellular automaton; Climate change; Conservation policy; Random forest; Range shift; Red lists;, cellular automaton; climate change; conservation policy; random forest; range shift; red lists, 333, Cellular automaton; Climate change; Conservation policy; Random forest; Range shift; Red lists; Ecology; Nature and Landscape Conservation, Settore SECS-S/01 - STATISTICA, Range shift, Cellular automaton; Climate change; Conservation policy; Range shift; Random forest; Red lists, Climate change, Red lists, Random forest
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%
