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Investigating net primary production in climate regions of Khuzestan Province, Iran using CASA model.
Afzali, Afsaneh; Hadian, Fatemeh; Sabri, Soheil; Yaghmaei, Leila.
Afiliación
  • Afzali A; Department of Environment, Faculty of Natural Resources and Earth Sciences, University of Kashan, Kashan, Iran. a.afzali@kashanu.ac.ir.
  • Hadian F; Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran.
  • Sabri S; Center for Spatial Data Infrastructures and Land Administration, The University of Melbourne, Melbourne, Australia.
  • Yaghmaei L; Department of Natural Resources, Isfahan University of Technology, Isfahan, Iran.
Int J Biometeorol ; 68(7): 1357-1370, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38755450
ABSTRACT
This study aimed to investigate the vegetation production changes in Khuzestan province, Iran using MODIS data production, meteorological data, vegetation maps as well as topographic and field monitoring data in CASA model. The study area was divided into different climatic classes based on multivariate statistical method, so the vegetation of each climatic region was examined separately for changes in NPP values. Production changes due to degradation were calculated using the Miami model and subsequently, the rain use efficiency (RUE) and the light use efficiency (LUE) and correlation indices between the CASA model and ground data were determined. The results of this study (R2) showed that the accuracy of this model varies depending on the type of climatic regions (R2 = 0.80 to R2 = 0.15). In different climatic regions, the rate of NPP changes (very humid 68 gC/m2 to ultra-dry 15 gC/m2) varies in rangeland types. The highest rate of vegetation production is observed seasonally in May. Degradation conditions also reduced RUE and LUE. However, in hyper-arid regions, adaptations of plants in some different species (Hammada Spp.) increase their efficiency compared to other vegetation types. The results showed the importance of vegetation and climate classification in vegetation production studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clima / Modelos Teóricos País/Región como asunto: Asia Idioma: En Revista: Int J Biometeorol Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Clima / Modelos Teóricos País/Región como asunto: Asia Idioma: En Revista: Int J Biometeorol Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Estados Unidos