# Predicting Current and Future Habitat Suitability of an Endemic Species Using Data-Fusion Approach: Responses to Climate Change

*PRI Rank #6 · Topics and Trends in Most Cited Invertebrate Taxonomy and Ecology Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/invertebrate-taxonomy-and-ecology/2026/rank-6*

| Field | Value |
| --- | --- |
| Rank | #6 |
| 18m citations | 15 |
| Journal | Rangeland Ecology & Management |
| Year | 2024 |
| DOI | 10.1016/j.rama.2024.03.002 |
| Corresponding authors | Hamid Reza Pourghasemi |
| Institution | Shiraz University, Iran |

**Ranking page:** [Topics and Trends in Most Cited Invertebrate Taxonomy and Ecology Papers, Class of 2026](https://pri.pepkio.com/top-papers/invertebrate-taxonomy-and-ecology/2026)

**Paper link:** [10.1016/j.rama.2024.03.002](https://doi.org/10.1016/j.rama.2024.03.002)

## Topics

habitat suitability modeling · endemic species · data-fusion approach · climate change responses · Species distribution modeling · future habitat prediction · current habitat prediction

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Invertebrate Taxonomy and Ecology Papers, Class of 2026. https://pri.pepkio.com/top-papers/invertebrate-taxonomy-and-ecology/2026. Accessed 2026-07-31.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```