Ítem
Solo Metadatos

Socio-ecological assessment of threats to semi-arid rangeland habitat in Iran using spatial models and actor group opinions

Título de la revista
Autores
Mashizi, Azam Khosravi
Escobedo, Francisco J.

Fecha
2020

Directores

ISSN de la revista
Título del volumen
Editor
Academic Press


Buscar en:

Métricas alternativas

Resumen
Abstract
Key to the sustainable management of rangelands is identifying socioeconomic and ecological threats to the structure and function of historically grazed ecosystems. We studied how recent anthropogenic factors associated with globalization and urbanization could affect habitat quality and biodiversity as well as actors in a historically grazed rangeland basin in Iran. We used an approach that integrated field data, a spatially explicit ecosystem service model, and actor group opinions concerning threats to rangelands. We found low habitat quality in downstream areas where agriculture predominates. Significant relationships were also found between the Simpson diversity index and habitat quality; thus corroborating our modeling results. Actors and experts ranked grazing and agricultural activities as the greatest threats to habitat quality. Upstream areas with the highest habitat quality had the highest social value in terms of conservation efforts and ecosystem service provision. Modeling scenarios indicated that agriculture was the main threat to habitat quality, more so than grazing. Our approach shows that the historical legacy of past land use objectives that prioritized increased fodder must now be weighed against other current and future societal needs and management objectives such as food security and dust abatement. © 2020 Elsevier Ltd
Palabras clave
Keywords
Anthropogenic effect , Diversity index , Ecosystem service , Fodder , Food security , Globalization , Grazing management , Habitat quality , Rangeland , Semiarid region , Iran , Ecosystem disservices , Habitat quality , Invest model , Rangeland management , Rangeland threats
Buscar en:
Enlaces relacionados
Set de datos
Colecciones