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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Diversity and Distributions

ISSN

1366-9516

e-ISSN

—

Svazek periodika

23

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

1193-1203

Kód UT WoS článku

000409469400009

EID výsledku v databázi Scopus

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