Searching for predictors of the variability of impacts caused by non-native trees on regulating ecosystem services worldwide

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F23%3A00576847" target="_blank" >RIV/67985939:_____/23:00576847 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/23:10472740

Výsledek na webu

<a href="https://doi.org/10.1016/j.scitotenv.2023.162961" target="_blank" >https://doi.org/10.1016/j.scitotenv.2023.162961</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.scitotenv.2023.162961" target="_blank" >10.1016/j.scitotenv.2023.162961</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Searching for predictors of the variability of impacts caused by non-native trees on regulating ecosystem services worldwide

Popis výsledku v původním jazyce

Non-native trees (NNT) have a diverse range of effects on ecosystem services (ES), from benefits to drawbacks, which may hinder the development of policies for these species. Here we analyze the variation in impacts of NNT on regulating ecosystem services (RES) by using a global database, which covers the effect size of multiple NNT species on six RES (climate regulation, soil erosion regulation, soil fertility, soil formation, hydrological cycle regulation, and fire protection). We used a wide range of predictors to account for the context-dependency of impacts distributed in five groups: the RES type, functional traits of both the NNT and the dominant NT of the recipient ecosystem, phylogenetic and functional distances betweenNNT and NT, climatic context, and human population characteristics. Using boosted regression trees and regression trees, we found that themost influential predictors of NNT impacts on RES were annual mean temperatures and precipitation seasonality, followed by the type of RES, human population density, and NNT height. In regions with warm temperatures and low seasonality, NNT tended to increase RES. NNT impacts were greater in densely populated regions. Smaller NNT exerted greater positive impacts on climate regulation and soil erosion regulation in tropical regions than in other climates. We highlight that benign climates and high population density exacerbate the effects of NNT on RES, and that soil fertility is the most consistently affected RES. Knowledge of the factors that modulate NNT impacts can help to predict their potential effects on RES in different parts of the world and at various environmental settings.

Název v anglickém jazyce

Searching for predictors of the variability of impacts caused by non-native trees on regulating ecosystem services worldwide

Popis výsledku anglicky

Non-native trees (NNT) have a diverse range of effects on ecosystem services (ES), from benefits to drawbacks, which may hinder the development of policies for these species. Here we analyze the variation in impacts of NNT on regulating ecosystem services (RES) by using a global database, which covers the effect size of multiple NNT species on six RES (climate regulation, soil erosion regulation, soil fertility, soil formation, hydrological cycle regulation, and fire protection). We used a wide range of predictors to account for the context-dependency of impacts distributed in five groups: the RES type, functional traits of both the NNT and the dominant NT of the recipient ecosystem, phylogenetic and functional distances betweenNNT and NT, climatic context, and human population characteristics. Using boosted regression trees and regression trees, we found that themost influential predictors of NNT impacts on RES were annual mean temperatures and precipitation seasonality, followed by the type of RES, human population density, and NNT height. In regions with warm temperatures and low seasonality, NNT tended to increase RES. NNT impacts were greater in densely populated regions. Smaller NNT exerted greater positive impacts on climate regulation and soil erosion regulation in tropical regions than in other climates. We highlight that benign climates and high population density exacerbate the effects of NNT on RES, and that soil fertility is the most consistently affected RES. Knowledge of the factors that modulate NNT impacts can help to predict their potential effects on RES in different parts of the world and at various environmental settings.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GX19-28807X" target="_blank" >GX19-28807X: Makroekologie rostlinných invazí: význam stanovišť a globální syntéza (SynHab)</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

Science of the Total Environment

ISSN

0048-9697

e-ISSN

1879-1026

Svazek periodika

877

Číslo periodika v rámci svazku

15 June

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

8

Strana od-do

162961

Kód UT WoS článku

001006561700001

EID výsledku v databázi Scopus

2-s2.0-85150462284