Felipe Zuñe, Márcia Gonçalves Rogério, Ruy José Válka Alves, Nílber Gonçalves da Silva
{"title":"从干扰到恢复：揭示山羊和生态驱动因素在巴西南大西洋Trindade岛植被动态中的作用","authors":"Felipe Zuñe, Márcia Gonçalves Rogério, Ruy José Válka Alves, Nílber Gonçalves da Silva","doi":"10.1111/jvs.70039","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>Islands harbor crucial ecosystems that face expressive threats from invasive species, including goats, which have dramatically altered the vegetation dynamics of Trindade Island since their introduction in the 1700s. This study aimed to assess the effects of goats, as a primary biotic factor, alongside many abiotic factors influencing vegetation dynamics over time.</p>\n </section>\n \n <section>\n \n <h3> Location</h3>\n \n <p>Trindade Island, South Atlantic Ocean.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We analyzed vegetation cover changes from 1994 to 2024 using remote sensing data. We also evaluated the relationship between the Normalized Difference Vegetation Index (NDVI) and vegetation cover, and compared vegetation data obtained from fieldwork and remote sensing for 1994 and 2010.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>A supervised classification approach was applied to identify vegetation types, achieving an overall accuracy of 89% and a Kappa coefficient of 0.8. The NDVI analysis explained 77% of the variation in vegetation cover, revealing increases in forest (65.06 ha) and grassland (325.14 ha) by 2024. No significant differences were found between fieldwork and remote sensing data (<i>p</i> > 0.05) for the earlier years analyzed. Although goats had a notable impact on vegetation (<i>D</i><sup>2</sup> ≥ 0.75), their influence was amplified by abiotic factors, producing statistically significant correlations (<i>D</i><sup>2</sup> ≥ 0.91) in generalized linear models. Incorporating both biotic and abiotic variables yielded models with higher explanatory power.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Our findings underscore the complex interplay between goats and abiotic factors shaping vegetation dynamics on Trindade Island. The study highlights the necessity of targeted conservation strategies to mitigate the impact of invasive species on island ecosystems.</p>\n </section>\n </div>","PeriodicalId":49965,"journal":{"name":"Journal of Vegetation Science","volume":"36 3","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jvs.70039","citationCount":"0","resultStr":"{\"title\":\"From Disturbance to Recovery: Unveiling the Role of Goats and Ecological Drivers on Vegetation Dynamics of Trindade Island, South Atlantic, Brazil\",\"authors\":\"Felipe Zuñe, Márcia Gonçalves Rogério, Ruy José Válka Alves, Nílber Gonçalves da Silva\",\"doi\":\"10.1111/jvs.70039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>Islands harbor crucial ecosystems that face expressive threats from invasive species, including goats, which have dramatically altered the vegetation dynamics of Trindade Island since their introduction in the 1700s. This study aimed to assess the effects of goats, as a primary biotic factor, alongside many abiotic factors influencing vegetation dynamics over time.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Location</h3>\\n \\n <p>Trindade Island, South Atlantic Ocean.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We analyzed vegetation cover changes from 1994 to 2024 using remote sensing data. We also evaluated the relationship between the Normalized Difference Vegetation Index (NDVI) and vegetation cover, and compared vegetation data obtained from fieldwork and remote sensing for 1994 and 2010.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>A supervised classification approach was applied to identify vegetation types, achieving an overall accuracy of 89% and a Kappa coefficient of 0.8. The NDVI analysis explained 77% of the variation in vegetation cover, revealing increases in forest (65.06 ha) and grassland (325.14 ha) by 2024. No significant differences were found between fieldwork and remote sensing data (<i>p</i> > 0.05) for the earlier years analyzed. Although goats had a notable impact on vegetation (<i>D</i><sup>2</sup> ≥ 0.75), their influence was amplified by abiotic factors, producing statistically significant correlations (<i>D</i><sup>2</sup> ≥ 0.91) in generalized linear models. Incorporating both biotic and abiotic variables yielded models with higher explanatory power.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Our findings underscore the complex interplay between goats and abiotic factors shaping vegetation dynamics on Trindade Island. 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From Disturbance to Recovery: Unveiling the Role of Goats and Ecological Drivers on Vegetation Dynamics of Trindade Island, South Atlantic, Brazil
Aims
Islands harbor crucial ecosystems that face expressive threats from invasive species, including goats, which have dramatically altered the vegetation dynamics of Trindade Island since their introduction in the 1700s. This study aimed to assess the effects of goats, as a primary biotic factor, alongside many abiotic factors influencing vegetation dynamics over time.
Location
Trindade Island, South Atlantic Ocean.
Methods
We analyzed vegetation cover changes from 1994 to 2024 using remote sensing data. We also evaluated the relationship between the Normalized Difference Vegetation Index (NDVI) and vegetation cover, and compared vegetation data obtained from fieldwork and remote sensing for 1994 and 2010.
Results
A supervised classification approach was applied to identify vegetation types, achieving an overall accuracy of 89% and a Kappa coefficient of 0.8. The NDVI analysis explained 77% of the variation in vegetation cover, revealing increases in forest (65.06 ha) and grassland (325.14 ha) by 2024. No significant differences were found between fieldwork and remote sensing data (p > 0.05) for the earlier years analyzed. Although goats had a notable impact on vegetation (D2 ≥ 0.75), their influence was amplified by abiotic factors, producing statistically significant correlations (D2 ≥ 0.91) in generalized linear models. Incorporating both biotic and abiotic variables yielded models with higher explanatory power.
Conclusions
Our findings underscore the complex interplay between goats and abiotic factors shaping vegetation dynamics on Trindade Island. The study highlights the necessity of targeted conservation strategies to mitigate the impact of invasive species on island ecosystems.
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.
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