Classifying the Risk of Forest Loss in the Peruvian Amazon Rainforest: An Alternative Approach for Sustainable Forest Management Using Artificial Intelligence

Casas, Gianmarco Goycochea; Villanueva, Juan Rodrigo Baselly; Limeira, Mathaus Messias Coimbra; Torres, Carlos Moreira Miquelino Eleto; Leite, Hélio Garcia

doi:10.2139/ssrn.4486512

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…This will help to understand the importance of developing an effective natural resource management strategy, finding appropriate solutions to mitigate the effects of regional manifestations of global climate warming, restoring disturbed ecosystems, and developing appropriate models of the bio-economy [7]. It is generally recognized that the success of solving these problems depends to a large extent on the classification system of the natural ecosystems used [8][9][10]. It is very important that ecosystems that are part of a group respond in the same way to external disturbances and to environmental measures or management strategies [9,11,12].…”

Section: Introductionmentioning

confidence: 99%

Global Overview of the Application of the Braun-Blanquet Approach in Research

Ivanova

2024

Forests

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Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors’ publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance.

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Section: Introductionmentioning

confidence: 99%

Global Overview of the Application of the Braun-Blanquet Approach in Research

Ivanova

2024

Forests

View full text Add to dashboard Cite

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Classifying the Risk of Forest Loss in the Peruvian Amazon Rainforest: An Alternative Approach for Sustainable Forest Management Using Artificial Intelligence

Cited by 1 publication

References 21 publications

Global Overview of the Application of the Braun-Blanquet Approach in Research

Global Overview of the Application of the Braun-Blanquet Approach in Research

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