Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran

This study examines the trends in vegetation cover using the Growing Season NDVI (GSN) time series in moderate spatial resolution (250 m) over Khorasan Razavi province, in northeast Iran, during the period 2004–2015. The province is largely desert, with extra-arid, arid, and semi-arid de Martonne cl...

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Autores principales:	Ahmad Emamian, Alireza Rashki, Dimitris G. Kaskaoutis, Ali Gholami, Christian Opp, Nick Middleton
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Vegetation trend Growing Season NDVI de Martonne index Terrain Niche Index Environmental restoration Northeast Iran Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/03035133b6a6426297ef20d698f3e0ce
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id	oai:doaj.org-article:03035133b6a6426297ef20d698f3e0ce
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spelling	oai:doaj.org-article:03035133b6a6426297ef20d698f3e0ce2021-12-01T04:42:45ZAssessing vegetation restoration potential under different land uses and climatic classes in northeast Iran1470-160X10.1016/j.ecolind.2020.107325https://doaj.org/article/03035133b6a6426297ef20d698f3e0ce2021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2031267Xhttps://doaj.org/toc/1470-160XThis study examines the trends in vegetation cover using the Growing Season NDVI (GSN) time series in moderate spatial resolution (250 m) over Khorasan Razavi province, in northeast Iran, during the period 2004–2015. The province is largely desert, with extra-arid, arid, and semi-arid de Martonne climate zones dominating, while rangelands, shrublands and deserts cover most areas, making it an ideal territory for monitoring vegetation trends and implement future restoration projects. Most parts of the province and land-cover classes show no trends in vegetation cover, but large decreasing trends occur in areas covered by sand dunes, previously reforested lands and clay pit areas. Trends in various land-cover types are also examined as functions of the climatic class and the Terrain Niche index (TNI), which is characteristic of the topography, revealing large decreasing trends in the extra-arid climatic zone. In addition, most of the areas exhibit Hurst exponent values around 0.5, implying stochastic time series without any consistency and a likelihood of random vegetation and land cover changes in the future. This study also aims to determine likely future vegetation status and the most favourable areas for restoration projects through analysis of two indexes (Future Restoration Dispersal Index, FRDI and Future Uncertainty Dispersal Index, FUDI). The results show that reforestation, sand dunes and clay pits areas are the most favourable for implementing restoration projects, while the spatial distribution of the potential restoration classes reveals that the southern and northeastern parts of Khorasan Razavi province are the most favourable areas for establishing environmental restoration activities in order to avoid further degradation of ecosystems.Ahmad EmamianAlireza RashkiDimitris G. KaskaoutisAli GholamiChristian OppNick MiddletonElsevierarticleVegetation trendGrowing Season NDVIde Martonne indexTerrain Niche IndexEnvironmental restorationNortheast IranEcologyQH540-549.5ENEcological Indicators, Vol 122, Iss , Pp 107325- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Vegetation trend Growing Season NDVI de Martonne index Terrain Niche Index Environmental restoration Northeast Iran Ecology QH540-549.5
spellingShingle	Vegetation trend Growing Season NDVI de Martonne index Terrain Niche Index Environmental restoration Northeast Iran Ecology QH540-549.5 Ahmad Emamian Alireza Rashki Dimitris G. Kaskaoutis Ali Gholami Christian Opp Nick Middleton Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
description	This study examines the trends in vegetation cover using the Growing Season NDVI (GSN) time series in moderate spatial resolution (250 m) over Khorasan Razavi province, in northeast Iran, during the period 2004–2015. The province is largely desert, with extra-arid, arid, and semi-arid de Martonne climate zones dominating, while rangelands, shrublands and deserts cover most areas, making it an ideal territory for monitoring vegetation trends and implement future restoration projects. Most parts of the province and land-cover classes show no trends in vegetation cover, but large decreasing trends occur in areas covered by sand dunes, previously reforested lands and clay pit areas. Trends in various land-cover types are also examined as functions of the climatic class and the Terrain Niche index (TNI), which is characteristic of the topography, revealing large decreasing trends in the extra-arid climatic zone. In addition, most of the areas exhibit Hurst exponent values around 0.5, implying stochastic time series without any consistency and a likelihood of random vegetation and land cover changes in the future. This study also aims to determine likely future vegetation status and the most favourable areas for restoration projects through analysis of two indexes (Future Restoration Dispersal Index, FRDI and Future Uncertainty Dispersal Index, FUDI). The results show that reforestation, sand dunes and clay pits areas are the most favourable for implementing restoration projects, while the spatial distribution of the potential restoration classes reveals that the southern and northeastern parts of Khorasan Razavi province are the most favourable areas for establishing environmental restoration activities in order to avoid further degradation of ecosystems.
format	article
author	Ahmad Emamian Alireza Rashki Dimitris G. Kaskaoutis Ali Gholami Christian Opp Nick Middleton
author_facet	Ahmad Emamian Alireza Rashki Dimitris G. Kaskaoutis Ali Gholami Christian Opp Nick Middleton
author_sort	Ahmad Emamian
title	Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
title_short	Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
title_full	Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
title_fullStr	Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
title_full_unstemmed	Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran
title_sort	assessing vegetation restoration potential under different land uses and climatic classes in northeast iran
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/03035133b6a6426297ef20d698f3e0ce
work_keys_str_mv	AT ahmademamian assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran AT alirezarashki assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran AT dimitrisgkaskaoutis assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran AT aligholami assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran AT christianopp assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran AT nickmiddleton assessingvegetationrestorationpotentialunderdifferentlandusesandclimaticclassesinnortheastiran
_version_	1718405801973907456

Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran

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