Literature DB >> 26088757

Monitoring landscape changes in Caucasian black grouse (Tetrao mlokosiewiczi) habitat in Iran during the last two decades.

Asef Darvishi1, Sima Fakheran, Alireza Soffianian.   

Abstract

Caucasian black grouse (Tetrao mlokosiewiczi) is on the 'red' list of species of high conservation concern as nearest threatened (NT) and also in level (I) of Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). The black grouse distribution range in Iran is restricted to the Arasbaran region, Northwest of Iran, and the populations and range of this specialist bird species have been declining over the last decades. Management of forest and grassland structures is important for black grouse population survival. The main goals of this study were to monitor and quantify the landscape pattern changes in Caucasian black grouse habitat in the Arasbaran biosphere reserve in two periods of 14 years (1987-2001) and 10 years (2001-2011). For quantifying landscape pattern changes, various landscape metrics were derived by spatial analysis software FRAGSTATS 3.3, including NP (number of habitat patches), LPI (largest patch index) and TE (total edge). The results indicated that the proportion of forest decreased from 39.95 to 31.95% and the proportion of grassland decreased from 44.45 to 38.44% in the 24-year span. NP of forests increased in the first period and decreased in the second period of study. TE of dense forest at altitude above 1800 m decreased. Reduction of forest edge is an indicator of reduction in habitat availability for Caucasian black grouse which use the forest edge for living, lekking and hatching in upland. Our results provided quantitative data on habitat loss and fragmentation in the Arasbaran biosphere reserve and indicated negative impacts of the landscape structure changes on Black grouse habitat.

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Year:  2015        PMID: 26088757     DOI: 10.1007/s10661-015-4659-3

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


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