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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216208:11310/23:10472740

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10618 - Ecology

Result continuities

  • Project

    <a href="/en/project/GX19-28807X" target="_blank" >GX19-28807X: Macroecology of plant invasions: global synthesis across habitats (SynHab)</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Science of the Total Environment

  • ISSN

    0048-9697

  • e-ISSN

    1879-1026

  • Volume of the periodical

    877

  • Issue of the periodical within the volume

    15 June

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    162961

  • UT code for WoS article

    001006561700001

  • EID of the result in the Scopus database

    2-s2.0-85150462284