Abstract
An accurate combination of remote sensing-based techniques with predictive modeling is critical to evaluate the effects of fragmentation on forest fragments’ connectivity. Our study aimed to classify the landscape and evaluate its ecology in a highly fragmented region within the Atlantic Forest. We combined satellite image-based data, and spatial data of a region in Southern Brazil with Random Forest (RF) supervised algorithms. Using this combination, we defined the land use and native forest classes and estimated landscape metrics. Overall, native forest fragments varied widely, especially regarding their areas (ha), shape, and the number of core areas. Among all fragments, the one in the Rio Doce State Forest Park (PERD) holds the largest area, most regular shape, and the highest number of core habitats in the study region. However, most (64.4%) of the fragments, especially the small ones (< 0.4 hectares), are close to each other (i.e., average distances up 100 m). Our findings demonstrate that the closely connected fragments may be potential candidates to enhance forest connectivity, and support ecological restoration plans in the study region. Further, we indicated that fragments like the PERD Park are a conservation priority due to their importance in connecting smaller fragments.
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The data used in this publication comes from public and open sources that provide geoprocessed data (see details in the section Material and Methods). Therefore, no data is shared in repositories.
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Acknowledgements
We acknowledge the Department of Engenharia Florestal of the Universidade Federal de Viçosa for providing accurate computational processors for the analysis and Cenbira—Celulose Nipo-Brasileira S.A for providing the necessary support to carry out this study.
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ESD Methodology, Validation, Formal analysis, Investigation, Visualization, Writing—original draft, Writing—review andamp; editing. PHSM Methodology, Formal analysis. JPR: Formal analysis. WSC Project administration, Data curation; EVP Project administration; JML Project administration; GBL Project administration, Data curation; CHA Conceptualization, Validation, Supervision, Funding acquisition, Project administration, Writing—review and editing.
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Diniz, É.S., Mota, P.H.S., Reis, J.P. et al. Connectivity value of Atlantic forest fragments: pathways towards enhancing biodiversity conservation. Braz. J. Bot 47, 249–259 (2024). https://doi.org/10.1007/s40415-023-00970-0
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DOI: https://doi.org/10.1007/s40415-023-00970-0