Expanding the invasion toolbox: including stable isotope analysis in risk assessment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F22%3A43904607" target="_blank" >RIV/60076658:12520/22:43904607 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.3897/neobiota.76.77944" target="_blank" >https://doi.org/10.3897/neobiota.76.77944</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3897/neobiota.76.77944" target="_blank" >10.3897/neobiota.76.77944</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Expanding the invasion toolbox: including stable isotope analysis in risk assessment

Popis výsledku v původním jazyce

Species introductions are a major concern for ecosystem functioning, socio-economic wealth, and human well-being. Preventing introductions proved to be the most effective management strategy, and various tools such as species distribution models and risk assessment protocols have been developed or applied to this purpose. These approaches use information on a species to predict its potential invasiveness and impact in the case of its introduction into a new area. At the same time, much biodiversity has been lost due to multiple drivers. Ways to determine the potential for successful reintroductions of once native but now extinct species as well as assisted migrations are yet missing. Stable isotope analyses are commonly used to reconstruct a species&apos; feeding ecology and trophic interactions within communities. Recently, this method has been used to predict potentially arising trophic interactions in the absence of the target spe-cies. Here we propose the implementation of stable isotope analysis as an approach for assessment schemes to increase the accuracy in predicting invader impacts as well as the success of reintroductions and assisted migrations. We review and discuss possibilities and limitations of this methods usage, suggesting promis-ing and useful applications for scientists and managers.

Název v anglickém jazyce

Expanding the invasion toolbox: including stable isotope analysis in risk assessment

Popis výsledku anglicky

Species introductions are a major concern for ecosystem functioning, socio-economic wealth, and human well-being. Preventing introductions proved to be the most effective management strategy, and various tools such as species distribution models and risk assessment protocols have been developed or applied to this purpose. These approaches use information on a species to predict its potential invasiveness and impact in the case of its introduction into a new area. At the same time, much biodiversity has been lost due to multiple drivers. Ways to determine the potential for successful reintroductions of once native but now extinct species as well as assisted migrations are yet missing. Stable isotope analyses are commonly used to reconstruct a species&apos; feeding ecology and trophic interactions within communities. Recently, this method has been used to predict potentially arising trophic interactions in the absence of the target spe-cies. Here we propose the implementation of stable isotope analysis as an approach for assessment schemes to increase the accuracy in predicting invader impacts as well as the success of reintroductions and assisted migrations. We review and discuss possibilities and limitations of this methods usage, suggesting promis-ing and useful applications for scientists and managers.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

NeoBiota

ISSN

1619-0033

e-ISSN

1314-2488

Svazek periodika

76

Číslo periodika v rámci svazku

neuvedeno

Stát vydavatele periodika

BG - Bulharská republika

Počet stran výsledku

20

Strana od-do

191-210

Kód UT WoS článku

000873974100009

EID výsledku v databázi Scopus

2-s2.0-85139998856