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Assessing land-use effects on European plant diversity using a biome-specific countryside species-area model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73581269" target="_blank" >RIV/61989592:15310/17:73581269 - isvavai.cz</a>

  • Result on the web

    <a href="http://onlinelibrary.wiley.com/doi/10.1111/ddi.12608/epdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/ddi.12608/epdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/ddi.12608" target="_blank" >10.1111/ddi.12608</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Assessing land-use effects on European plant diversity using a biome-specific countryside species-area model

  • Original language description

    Aim: Land-use change is considered a major threat to biodiversity. Species-area relationships (SARs), which are often used to assess biodiversity changes, assume that land use leads to the loss of natural habitats. Yet, in regions with long land-use histories, such as Europe, many species have persisted in, or even depend on, landscapes heavily influenced by land use (i.e., countryside landscapes). Here, we develop a SAR model that considers the conservation value of such landscapes, and we assess how land use affects plant-species richness at broad spatial scales. Location: Countries in the European Union (EU-27). Methods: We first predicted species richness at a 50 x 50 km resolution using a biome-specific SAR and used these predictions as a baseline estimate for (semi-) natural vegetation. Then, we parameterized a countryside SAR (sensu Pereira &amp; Daily, 2006) with habitat affinities derived from a meta-analysis. We estimated changes in species richness as the difference in predictions between the two SAR models. Results: At a 50 x 50 km resolution, predicted species richness has increased by up to 184 species due to land use in 73% of all cells across Europe compared to the (semi-) natural baseline. However, our model also highlights regions with dramatic species losses (in 25% of cells, losses of up to 900 species) due to an unfavourable combination of land-use changes. Averaged across all cells, we predict a loss of 26 plant species (SD = 119, median = 49). Main conclusions: Adopting the countryside SAR model to broader spatial scales overcomes the unrealistic assumptions of previous approaches about generally negative effects of land use. Our approach predicts how local-scale land-use effects translate to biodiversity changes at broader geographic scales. Thus, it allows land-use scenarios being studied in relation to their trade-offs with biodiversity and can be used to target conservation efforts across large areas.

  • 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

    10618 - Ecology

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Diversity and Distributions

  • ISSN

    1366-9516

  • e-ISSN

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    1193-1203

  • UT code for WoS article

    000409469400009

  • EID of the result in the Scopus database