Petra Janečková, Lubomír Tichý, Lawrence R. Walker, Karel Prach
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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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Globally, 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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The 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.</p>\n </section>\n </div>","PeriodicalId":49965,"journal":{"name":"Journal of Vegetation Science","volume":"35 4","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Global drivers influencing vegetation during succession: Factors and implications\",\"authors\":\"Petra Janečková, Lubomír Tichý, Lawrence R. Walker, Karel Prach\",\"doi\":\"10.1111/jvs.13297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Question</h3>\\n \\n <p>Following 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Location</h3>\\n \\n <p>Worldwide.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>The 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Globally, 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The 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. 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Global drivers influencing vegetation during succession: Factors and implications
Question
Following 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.
Location
Worldwide.
Methods
The 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.
Results
Globally, 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.
Conclusions
The 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.
期刊介绍:
The Journal of Vegetation Science publishes papers on all aspects of plant community ecology, with particular emphasis on papers that develop new concepts or methods, test theory, identify general patterns, or that are otherwise likely to interest a broad international readership. Papers may focus on any aspect of vegetation science, e.g. community structure (including community assembly and plant functional types), biodiversity (including species richness and composition), spatial patterns (including plant geography and landscape ecology), temporal changes (including demography, community dynamics and palaeoecology) and processes (including ecophysiology), provided the focus is on increasing our understanding of plant communities. The Journal publishes papers on the ecology of a single species only if it plays a key role in structuring plant communities. Papers that apply ecological concepts, theories and methods to the vegetation management, conservation and restoration, and papers on vegetation survey should be directed to our associate journal, Applied Vegetation Science journal.