Monitoring the Impact of Precipitation on Vegetation Dynamics and Species Diversity in a Semi-Steppe Rangeland in Iran | ||
| ECOPERSIA | ||
| Volume 13, Issue 4 - Serial Number 54, Autumn 2025, Pages 363-376 PDF (1.39 M) | ||
| Document Type: Original Research | ||
| DOI: 10.48311/ECOPERSIA.13.4.363 | ||
| Authors | ||
| Seyed Hossein Arami* 1; Mehri Dinarvand2; Ebrahim Karimi Sangchini3; Saba Peyrov1; Koroush Behnamfar4; Sajad Alimahmodi Sarab1; Saedeh Nateghi5 | ||
| 1Assistant Professor, Forests and Rangelands Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, AREEO, Ahvaz, Iran | ||
| 2Associate Professor, Forests and Rangelands Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, AREEO, Ahvaz, Iran | ||
| 3Assistant Professor, Soil Conservation and Watershed Management Research Department, Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, AREEO, Khorramabad, Iran. | ||
| 4Retired Assistant Professor, Forests and Rangelands Research Department, Khuzestan Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization, AREEO, Ahvaz, Iran | ||
| 5Assistant Professor, of Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran | ||
| Abstract | ||
| Aims: Despite the critical role of semi-steppe rangelands in Iran’s agro-pastoral systems, long-term quantitative data on vegetation dynamics in response to climatic variability, particularly in the semi-steppe rangelands of Bardemar of Khuzestan Province, remain scarce. Materials & Methods: This study addresses this gap by using a random systematic method, providing a comprehensive 7-year longitudinal dataset (2018-2024) that tracks changes in vegetation cover, productivity, and diversity. In four transects, a total of 40 plots, each measuring 1 square meter, were established to determine the density, vegetation canopy cover, plant species, and above-ground biomass. Margalef and Menhinick indices were calculated to compare species richness, and Shannon-Wiener and Simpson indices were used to assess species diversity. Finally, the Repeated Measures method was used to compare the biodiversity. Findings: The results showed that the percentage of canopy cover varied significantly between years, ranging from 18.80% to 37.10%, while above-ground production fluctuated between 140.59 and 400.49 (kg.ha⁻¹). The highest values were recorded in 2019 and 2023, corresponding to precipitation levels of 312.75 mm and 320.65 mm, respectively. Species richness (Taxa) averaged 2.5–3.6 species per plot, and the Shannon diversity index ranged from 0.76 to 1.05 across the study period. Significant correlations were found between precipitation and both vegetation cover (r = 0.704, p = 0.005) and production (r = 0.760, p = 0.002). Conclusion: This Study provides an empirical baseline for climate-responsive rangeland management in semi-arid regions. Implement short-term rest during wet years (rainfall ≥300 mm) to enable natural seed production and recovery of the soil seed bank, offering a low-cost strategy for long-term rangeland restoration. | ||
| Keywords | ||
| Rangelands; Random Systematic Method; Canopy Cover; Khuzestan | ||
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