Global drivers influencing vegetation during succession: Factors and implications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F24%3A43908484" target="_blank" >RIV/60076658:12310/24:43908484 - isvavai.cz</a>
Alternative codes found
RIV/67985939:_____/24:00597525 RIV/00216224:14310/24:00138542
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1111/jvs.13297" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/jvs.13297</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jvs.13297" target="_blank" >10.1111/jvs.13297</a>
Alternative languages
Result language
angličtina
Original language name
Global drivers influencing vegetation during succession: Factors and implications
Original language description
QuestionFollowing a significant disturbance, vegetation development may, or may not reach the desired target. Here, we examine which relevant global environmental factors have a substantial impact on the course of spontaneous vegetation succession, and what their relative relevance is in achieving the desired outcome.LocationWorldwide.MethodsThe outcome of vegetation changes in 528 studies describing spontaneous succession worldwide was classified at a simple, semi-quantitative scale: fully-successful, partly-successful, and unsuccessful, considering 10 different types of disturbances. Latitude, climatic factors (mean annual temperature, annual temperature range, mean annual precipitation, seasonality of precipitation), and biological factors (number of vascular plant species, and number of invasive alien species) were considered as explanatory variables. The ordination method (principal coordinate analysis) was used to visualize relationships among variables and their relationships to succession outcomes. For a detailed insight into the importance of the particular variables, we applied machine learning techniques, specifically one called "conditional random forest". In addition, the effect of different types of initial disturbance was assessed using Generalized Linear Models.ResultsGlobally, disturbance type emerged as the most influential factor in determining succession outcomes. The most successful were results from recovering vegetation after fire, whereas the most unsuccessful were those after volcano eruptions. For climatic factors, the success of succession decreased with a low annual temperature range and high temperature mean. Biological factors such as the number of invasive alien species and species richness had the least but significant influence on the succession success.ConclusionsThe most relevant factor determining the outcome of spontaneous succession was disturbance type, followed by temperature variables. Notably, latitude emerged as a practical proxy for many ecologically relevant factors. Therefore, we conclude that latitude may be a valuable predictor of the success of succession and, consequently, of the success of ecological restoration projects that are based on spontaneous succession. Global environmental factors have a substantial impact on the results of spontaneous vegetation succession after major disturbances. In our analysis of 528 studies worldwide, initial disturbance type emerged as the most influential factor. Climate variables, particularly temperature range and mean, also played crucial roles. Latitude was found to be a useful predictor for succession success, suggesting its potential in ecological restoration planning.image
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GA20-06065S" target="_blank" >GA20-06065S: Patterns of vegetation succession at broad geographical scales: The time is ripe for comparative studies and meta-analyses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Vegetation Science
ISSN
1100-9233
e-ISSN
1654-1103
Volume of the periodical
35
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
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UT code for WoS article
001291072400001
EID of the result in the Scopus database
2-s2.0-85201429714