Applying the Species-Area Relationship Model to Predict Biodiversity Loss in Deforested Regions
Year: 2025
Type: article
Abstract: The environmental issue of biodiversity loss due to deforestation remains a significant concern, particularly in tropical and subtropical regions. This research employs the Species-Area Relationship (SAR) model to predict biodiversity loss in deforested areas by examining the relationship between habitat area and the number of species. To estimate the number of potential species extinctions from various degrees of forest loss, we utilize high-resolution land cover data and species inventories from selected priority biodiversity hotspots. The SAR model S = cA^z, where S is species richness, A is area, and c and z are constant values, helps predict the change in biodiversity loss as natural habitats are fragmented or lost. The results show similar patterns of species richness decline as the area of forest is reduced, with the impact being greater in areas of higher endemism. The predictions of the SAR model align with existing literature and patterns regarding species decline, suggesting that the SAR model is a valuable tool for conservation planning. This research paper highlights the importance of protecting remaining forests and informs policy discussions on biodiversity loss. Additionally, it highlights key takeaways regarding the use of spatial ecology models with land-use policy to achieve sustainable development and conserve ecosystems. Further research has been identified - we will revise model parameters using species-specific data to improve predictions.
Source: Natural and Engineering Sciences
Authors: Rajeev Sharma, Astik Kumar Pradhan, Balasankar Karavadi, Subrat Kumar Mahapatra, Adarsha Harinaiha, Preeti Handa Kakkar
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W4414188682