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      Hotspots of (sub)alpine plants in the Irano‐Anatolian global biodiversity hotspot are insufficiently protected

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          Abstract

          Aim

          The mountainous regions in SW Asia harbour a high number of endemic species, many of which are restricted to the high‐elevation zone. The (sub)alpine habitats of the region are under particular threat due to global change, but their biodiversity hotspots and conservation status have not been investigated so far.

          Location

          Subalpine‐alpine habitats of SW Asia.

          Methods

          Distribution data of all (sub)alpine vascular plant species of the region were compiled, resulting in 19,680 localities from 1672 (sub)alpine species, the majority of them being restricted to the region (76%). Six quantitative indices of species diversity were used on the basis of 0.5° × 0.5° grid cells to identify (sub)alpine hotspots. Hotspots whose surface area in the (sub)alpine zone was covered by nature reserves maximally by 10% were defined as conservation gaps.

          Results

          A high proportion (80%) of the endemic species of the study area is range‐restricted and narrowly distributed. The results of all six indices were highly correlated. Using the top 5%, 10% and 20% richest cells supported by any index, 32, 53 and 98 cells, respectively, were identified as Hotspots. Almost 60% of these Hotspots at all three levels were identified as unprotected (i.e. constituted Conservation Gaps). Generally, only 22%, 18% and 16%, respectively, of the alpine surface area of the identified Hotspots were covered by nature reserves for the top 5%, 10% and 20% richest cells, respectively.

          Main conclusions

          Although the rate of protection in (sub)alpine Hotspots exceeds that of the entire region it is still insufficient, because these Hotspots are much richer in endemic and in range‐restricted species, but at the same time are under high pressure of global change. Therefore, the establishment of new nature reserves with high conservation efficiency in (sub)alpine habitats with a particular focus on the identified Hotspots is strongly recommended.

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          Most cited references94

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          Biodiversity hotspots for conservation priorities.

          Conservationists are far from able to assist all species under threat, if only for lack of funding. This places a premium on priorities: how can we support the most species at the least cost? One way is to identify 'biodiversity hotspots' where exceptional concentrations of endemic species are undergoing exceptional loss of habitat. As many as 44% of all species of vascular plants and 35% of all species in four vertebrate groups are confined to 25 hotspots comprising only 1.4% of the land surface of the Earth. This opens the way for a 'silver bullet' strategy on the part of conservation planners, focusing on these hotspots in proportion to their share of the world's species at risk.
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            Picante: R tools for integrating phylogenies and ecology.

            Picante is a software package that provides a comprehensive set of tools for analyzing the phylogenetic and trait diversity of ecological communities. The package calculates phylogenetic diversity metrics, performs trait comparative analyses, manipulates phenotypic and phylogenetic data, and performs tests for phylogenetic signal in trait distributions, community structure and species interactions. Picante is a package for the R statistical language and environment written in R and C, released under a GPL v2 open-source license, and freely available on the web (http://picante.r-forge.r-project.org) and from CRAN (http://cran.r-project.org).
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              Towards an Integrated Framework for Assessing the Vulnerability of Species to Climate Change

              Climate change is a major threat to global biodiversity. A novel integrated framework to assess vulnerability and prioritize research and management action aims to improve our ability to respond to this emerging crisis.
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                Author and article information

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                Journal
                Diversity and Distributions
                Diversity and Distributions
                Wiley
                1366-9516
                1472-4642
                February 2023
                November 23 2022
                February 2023
                : 29
                : 2
                : 244-253
                Affiliations
                [1 ] Department of Botany and Biodiversity Research University of Vienna Vienna Austria
                [2 ] Department of Geography Ferdowsi University of Mashhad Mashhad Iran
                [3 ] Geographic Information Science/System and Remote Sensing Laboratory (GISSRS: lab) Ferdowsi University of Mashhad Mashhad Iran
                [4 ] Department of Biology Bu‐Ali Sina University Hamedan Iran
                [5 ] Department of Plant Biology, Faculty of Biological Sciences Tarbiat Modares University Tehran Iran
                [6 ] Department of Pharmaceutical Botany, Faculty of Pharmacy Hacettepe University Ankara Turkey
                [7 ] Natural History Museum of Vienna Vienna Austria
                Article
                10.1111/ddi.13656
                df07b162-a313-4297-a38d-d1f12ee4c6ba
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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