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Journals / Natural and Engineering Sciences / 2025 / Volume: 10 Issue: 2

Applying the Species-Area Relationship Model to Predict Biodiversity Loss in Deforested Regions

Rajeev Sharma0009-0008-8442-0040
Astik Kumar Pradhan0009-0003-1893-0409
Balasankar Karavadi0000-0001-6520-0327
Subrat Kumar Mahapatra0000-0001-9335-8455
Adarsha Harinaiha0000-0001-7920-8899
Preeti Handa Kakkar0009-0006-6128-5590
Pages
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Publication Date
2025-09-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The environmental issue of biodiversity loss due to deforestation remains a significant concern, particularly in tropical and subtropical regions.
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Key Findings & Data: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.
💡
Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Species-Area Relationship · Biodiversity · Deforestation

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.

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Cite This Article

Sharma, R., Pradhan, A. K., Karavadi, B., Mahapatra, S. K., Harinaiha, A., Kakkar, P. H. (2025). Applying the Species-Area Relationship Model to Predict Biodiversity Loss in Deforested Regions. Natural and Engineering Sciences, Volume: 10 Issue: 2. https://doi.org/10.28978/nesciences.1763892

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