Anthropogenic pressures decrease structural complexity in Caucasian forests of Iran. Issue 3 (3rd July 2022)

• Record Type: Journal Article
• Authors: Sefidi, Kiomars; Copenheaver, Carolyn A.; Sadeghi, Seyed Mohammad Moein
• Is Part Of: Ecoscience. Volume 29:Issue 3(2022)
• Page Start: 199
• Page End: 209
• Publication Date: 2022-07-03
• Subjects: Forest degradation -- forest structural heterogeneity -- stand structural complexity -- Gini coefficient -- structural complexity index -- Arasbaran forest; Dégradation forestière -- hétérogénéité structurelle de la forêt -- complexité structurelle du peuplement -- coefficient de Gini -- indice de complexité structurelle -- forêt d'Arasbaran; Ecology -- Periodicals; 577
• DOI: 10.1080/11956860.2021.2010333
• Languages: English
• ISSNs: 1195-6860

Abstract

ABSTRACT: The Arasbaran Protected Area of northern Iran encompasses 160, 000 ha of deciduous, broad-leaved forest with 78, 560 ha recently designated as a United Nations Educational, Scientific, and Cultural Organization's (UNESCO) Biosphere Reserve. Our study objectives were to (1) quantify whether anthropogenic pressures measurably impacted the structural complexity of Arasbaran forests and (2) determine which structural complexity indices were most sensitive to anthropogenic pressures in Arasbaran forests. We identified and sampled three study sites with high, moderate, and low levels of anthropogenic pressures and used nine forest structural indices to develop structural complexity indices. High anthropogenic pressure resulted in aggregated tree distribution, uniformity in tree sizes, and less heterogeneous forest structure. The structural indices particularly sensitive to anthropogenic pressure were diameter differentiation, height differentiation, Gini coefficient, and structural diversity. Structural complexity appears to be a useful method for quantifying the impacts of anthropogenic pressure on montane deciduous forests. Regular sampling of the diameter differentiation index, height differentiation index, Gini coefficient and structural diversity index should be integrated into conservation management plans for the Arasbaran Protected Area.