Plant invasion risk: A quest for invasive species distribution modelling in managing protected areas

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A77163" target="_blank" >RIV/60460709:41330/18:77163 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.ecolind.2018.07.046" target="_blank" >http://dx.doi.org/10.1016/j.ecolind.2018.07.046</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecolind.2018.07.046" target="_blank" >10.1016/j.ecolind.2018.07.046</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Plant invasion risk: A quest for invasive species distribution modelling in managing protected areas
Popis výsledku v původním jazyce
Preventing biological invasions in areas of conservation concern represents the most cost-effective strategy to minimize the impact of Invasive Alien Species (IAS) on native communities. In this context, invasive Species Distribution Models (iSDMs) are a sound tool for predicting invasion risk in protected areas. Although their potential to support invasive species managers is widely acknowledged, evidence of iSDMs providing actual conservation solutions is still scarce.
Název v anglickém jazyce
Plant invasion risk: A quest for invasive species distribution modelling in managing protected areas
Popis výsledku anglicky
Preventing biological invasions in areas of conservation concern represents the most cost-effective strategy to minimize the impact of Invasive Alien Species (IAS) on native communities. In this context, invasive Species Distribution Models (iSDMs) are a sound tool for predicting invasion risk in protected areas. Although their potential to support invasive species managers is widely acknowledged, evidence of iSDMs providing actual conservation solutions is still scarce.

Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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