Test of the efficiency of environmental surrogates for the conservation prioritization of ponds based on macrophytes
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43897906" target="_blank" >RIV/60076658:12310/18:43897906 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1470160X18306058?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1470160X18306058?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecolind.2018.08.006" target="_blank" >10.1016/j.ecolind.2018.08.006</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Test of the efficiency of environmental surrogates for the conservation prioritization of ponds based on macrophytes
Popis výsledku v původním jazyce
Ponds are recognized as habitats of high biodiversity hosting many threatened freshwater species. They comprise a major part of the continental waters in Europe. Conservation strategies for abundant habitats like ponds inevitably call for the prioritization of the sites with the highest conservation value. In conservation planning, environmental surrogates are frequently used as proxies, providing readily available environmental information that adequately represents the biodiversity features of target systems. However, environmental surrogacy has mostly been tested in the terrestrial realm. Here, we provide a first attempt to test the efficiency of environmental surrogates for the conservation prioritization of pond communities. Native and alien helophytes and hydrophytes were surveyed in 92 ponds in Central Europe. We combined the flexible regression tree approach with predictive modelling to test the efficiency of local and regional environmental surrogates in targeting pond habitats with a high conservation value. Among the candidate variables, the trophic state and connectivity emerged as the most promising surrogates for native species diversity. However, the predictive performance of the surrogate schemes was relatively weak, providing low support for use of environmental surrogacy in pond conservation planning. If the preservation of hydrophyte diversity is considered a legitimate conservation goal, easily accessible GIS data on connectivity may save costs and effort during the prioritization of hydrophyte hotspots. In the cases of other groups, detailed botanical surveys are necessary to make informed decisions on pond conservation. The occurrence and diversity of alien macrophytes was difficult to predict using the native species diversity or habitat characteristics of the ponds. A failure to identify surrogates for alien species and their strong potential impact on resident ecosystems implies that further monitoring of exotic plants in ponds is urgently needed, especially now, as the number of alien aquatic plant species steeply increases in Europe. ? 2018 Elsevier Ltd
Název v anglickém jazyce
Test of the efficiency of environmental surrogates for the conservation prioritization of ponds based on macrophytes
Popis výsledku anglicky
Ponds are recognized as habitats of high biodiversity hosting many threatened freshwater species. They comprise a major part of the continental waters in Europe. Conservation strategies for abundant habitats like ponds inevitably call for the prioritization of the sites with the highest conservation value. In conservation planning, environmental surrogates are frequently used as proxies, providing readily available environmental information that adequately represents the biodiversity features of target systems. However, environmental surrogacy has mostly been tested in the terrestrial realm. Here, we provide a first attempt to test the efficiency of environmental surrogates for the conservation prioritization of pond communities. Native and alien helophytes and hydrophytes were surveyed in 92 ponds in Central Europe. We combined the flexible regression tree approach with predictive modelling to test the efficiency of local and regional environmental surrogates in targeting pond habitats with a high conservation value. Among the candidate variables, the trophic state and connectivity emerged as the most promising surrogates for native species diversity. However, the predictive performance of the surrogate schemes was relatively weak, providing low support for use of environmental surrogacy in pond conservation planning. If the preservation of hydrophyte diversity is considered a legitimate conservation goal, easily accessible GIS data on connectivity may save costs and effort during the prioritization of hydrophyte hotspots. In the cases of other groups, detailed botanical surveys are necessary to make informed decisions on pond conservation. The occurrence and diversity of alien macrophytes was difficult to predict using the native species diversity or habitat characteristics of the ponds. A failure to identify surrogates for alien species and their strong potential impact on resident ecosystems implies that further monitoring of exotic plants in ponds is urgently needed, especially now, as the number of alien aquatic plant species steeply increases in Europe. ? 2018 Elsevier Ltd
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10618 - Ecology
Návaznosti výsledku
Projekt
<a href="/cs/project/EF15_003%2F0000441" target="_blank" >EF15_003/0000441: Mechanismy a dynamika makromolekulárních komplexů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Ecological Indicators
ISSN
1470-160X
e-ISSN
—
Svazek periodika
95
Číslo periodika v rámci svazku
December 2018
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
9
Strana od-do
606-614
Kód UT WoS článku
000456907400058
EID výsledku v databázi Scopus
2-s2.0-85051394396