Global drivers influencing vegetation during succession: Factors and implications

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/67985939:_____/24:00597525 RIV/00216224:14310/24:00138542

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Global drivers influencing vegetation during succession: Factors and implications

Popis výsledku v původním jazyce

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 &quot;conditional random forest&quot;. 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

Název v anglickém jazyce

Global drivers influencing vegetation during succession: Factors and implications

Popis výsledku anglicky

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 &quot;conditional random forest&quot;. 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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

<a href="/cs/project/GA20-06065S" target="_blank" >GA20-06065S: Sukcese vegetace na širokých geografických škálách: Uzrál čas pro meta-analýzy</a><br>

Návaznosti

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

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

1654-1103

Svazek periodika

35

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

—

Kód UT WoS článku

001291072400001

EID výsledku v databázi Scopus

2-s2.0-85201429714