کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4465295 1621850 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modelling the current and future spatial distribution of NPP in a Mediterranean watershed
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Modelling the current and future spatial distribution of NPP in a Mediterranean watershed
چکیده انگلیسی

The aim of this study is to use full spatial resolution Envisat MERIS data to drive an ecosystem productivity model for pine forests along the Mediterranean coast of Turkey. The Carnegie, Ames, Stanford Approach (CASA) terrestrial biogeochemical model, designed to simulate the terrestrial carbon cycle using satellite sensor and meteorological data, was used to estimate annual regional fluxes in terrestrial net primary productivity (NPP). At its core this model is based on light-use efficiency, influenced by temperature, rainfall and solar radiation. Present climate data was generated from 50 climate stations within the watershed using co-kriging. Regional scale pseudo-warming data for year 2070 were derived using a Regional Climate Model (RCM) these data were used to downscale the GCM General Circulation Model for the research area as part of an international research project called Impact of Climate Changes on Agricultural Production Systems in Arid Areas (ICCAP). Outputs of climate data can be moderated using the four variables of percent tree cover, land cover, soil texture and NDVI. This study employed 47 MERIS images recorded between March 2003 and September 2005 to derive percent tree cover, land cover and NDVI. Envisat MERIS data hold great potential for estimating NPP with the CASA model because of the appropriateness of both its spatial and its spectral resolution.

Research highlights
► We use full spatial resolution Envisat MERIS data to drive an ecosystem net primary productivity (NPP) model for pine forests along the Mediterranean coast of Turkey.
► Carnegie, Ames, Stanford Approach (NASA-CASA) terrestrial biogeochemical model, designed to simulate the terrestrial carbon cycle using satellite sensor and meteorological data, was used to estimate annual regional fluxes in terrestrial NPP.
► This study is important to review the potential use of drove an NPP model for a Mediterranean watershed under the climate change scenarios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 13, Issue 3, June 2011, Pages 336–345
نویسندگان
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