Topographic indices predict the diversity of Red List and non-native plant species in human-altered riparian ecosystems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91487" target="_blank" >RIV/60460709:41330/22:91487 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1470160X22004204" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1470160X22004204</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolind.2022.108949" target="_blank" >10.1016/j.ecolind.2022.108949</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Topographic indices predict the diversity of Red List and non-native plant species in human-altered riparian ecosystems

Popis výsledku v původním jazyce

Disturbance regime and site productivity are considered the main factors shaping plant species assemblages and community diversity in riparian ecosystems, but whether and how topographic indices correlate with these two predictors remains largely unexplored. In this study, the stream power index (SPI) and topographic wetness index (TWI) were calculated as surrogates of flooding-induced disturbances and site productivity, respectively. We used a robust dataset of 879 vegetation plots sampled in temperate floodplain forests of Slovakia with the goal of testing the predictive power of interactions between the SPI and TWI on the diversity patterns of all vascular plants, ferns, woody species, aliens, neophytes and Red List species. Generalized additive models (GAMs) revealed the complementary importance of both predictors for explaining the species richness of different plant guilds in floodplain forests, including non-native and Red List species. The SPI and TWI accounted for 4,0 to 42,0 percentage of t

Název v anglickém jazyce

Topographic indices predict the diversity of Red List and non-native plant species in human-altered riparian ecosystems

Popis výsledku anglicky

Disturbance regime and site productivity are considered the main factors shaping plant species assemblages and community diversity in riparian ecosystems, but whether and how topographic indices correlate with these two predictors remains largely unexplored. In this study, the stream power index (SPI) and topographic wetness index (TWI) were calculated as surrogates of flooding-induced disturbances and site productivity, respectively. We used a robust dataset of 879 vegetation plots sampled in temperate floodplain forests of Slovakia with the goal of testing the predictive power of interactions between the SPI and TWI on the diversity patterns of all vascular plants, ferns, woody species, aliens, neophytes and Red List species. Generalized additive models (GAMs) revealed the complementary importance of both predictors for explaining the species richness of different plant guilds in floodplain forests, including non-native and Red List species. The SPI and TWI accounted for 4,0 to 42,0 percentage of t

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10619 - Biodiversity conservation

Projekt

<a href="/cs/project/GA18-03028S" target="_blank" >GA18-03028S: Jaký je biogeografický původ středoevropských suchých trávníků? Syntéza komparativní fylogeografie a paleodistribučního modelování</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

ECOLOGICAL INDICATORS

ISSN

1470-160X

e-ISSN

1872-7034

Svazek periodika

2022

Číslo periodika v rámci svazku

139

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

000804534000004

EID výsledku v databázi Scopus

2-s2.0-85129773275