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Evaluating climatic threats to habitat types based on co-occurrence patterns of characteristic species

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F19%3A00113232" target="_blank" >RIV/00216224:14310/19:00113232 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.baae.2019.06.002" target="_blank" >http://dx.doi.org/10.1016/j.baae.2019.06.002</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.baae.2019.06.002" target="_blank" >10.1016/j.baae.2019.06.002</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evaluating climatic threats to habitat types based on co-occurrence patterns of characteristic species

  • Original language description

    Species distribution models (SDMs) are used to project how suitable ranges of species shift under a warming climate. Conservation management, however, commonly targets habitat types rather than individual species. Such habitat types are often defined by the co-occurrence of a set of characteristic species. Here, we develop a co-occurrence-based index (CRI); which measures how the representation of habitat types in a particular area may change in a future climate. The index is based on stacking projections of distribution models of characteristic species and accounts for changes both in potential range size of each species individually and in spatial range overlap among characteristic species, i.e. co-occurrence patterns. We illustrate the approach by modelling the changing representation of 68 habitat types in Austria under two different climate scenarios. We base index calculations on SDM projections under either the assumption of unrestricted mobility ('full-dispersal') or of complete immobility ('no-dispersal') of individual species. Moreover, we compare results to those achieved with a simpler occurrence-based index (OI); which only accounts for change in specie's range sizes. All three alternative index calculations suggest that most modelled habitat types will lose area (in particular mires, wetlands and siliceous alpine grasslands) and only a minority will profit from a warming climate (in particular forests of dry and warm sites). 'Full-dispersal' CRI and OI are closely, but not perfectly correlated. Importantly, for more than half of the habitat types, accounting for changing co-occurrence patterns amplifies projected losses. The 'no-dispersal' CRI (CRInd) delivers the most alarming projections, indicating considerable spatial turn-over of sites suitable to the habitat types. Taken together, our results suggest that modelling re-distribution of habitat types which are defined by species combinations needs to account for modifications of co-occurrence patterns. Moreover, conservation should acknowledge that novel combinations of species will likely emerge under a warming climate. (C) 2019 Published by Elsevier GmbH on behalf of Gesellschaft fur Okologie.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Basic and Applied Ecology

  • ISSN

    1439-1791

  • e-ISSN

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    AUG

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    13

  • Pages from-to

    23-35

  • UT code for WoS article

    000481411900003

  • EID of the result in the Scopus database

    2-s2.0-85068031794