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(Article of periodic en Anglais - 2014)

Document title

Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982

Authors(s) and Affiliation(s)

ZHANG Y. (1) ; QI W. (1 2) ; ZHOU C. (1) ; DING M. (1 3) ; LIU L. (1) ; GAO J. (1) ; BAI W. (1) ; WANG Z. (1) ; ZHENG D. (1) ;
(1) Inst. of Geographic Sciences and Natural Resources Research, Beijing, CHINE
(2) Univ. of Chinese Academy of Sciences, Beijing, CHINE
(3) Jiangxi Normal Univ., Nanchang, CHINE

Abstract

Based on the GIMMS AVHRR NDVI data (8 km spatial resolution) for 1982–2000, the SPOT VEGETATION NDVI data (1 km spatial resolution) for 1998–2009, and observational plant biomass data, the CASA model was used to model changes in alpine grassland net primary production (NPP) on the Tibetan Plateau (TP). This study will help to evaluate the health conditions of the alpine grassland ecosystem, and is of great importance to the promotion of sustainable development of plateau pasture and to the understanding of the function of the national ecological security shelter on the TP. The spatio-temporal characteristics of NPP change were investigated using spatial statistical analysis, separately on the basis of physico-geographical factors (natural zone, altitude, latitude and longitude), river basin, and county-level administrative area. Results show that, based on changes in NPP trends, vegetation coverage and phonological phenomenon with time, NPP has been declining in certain places successively, while the overall health of the alpine grassland on the TP is improving

Source

Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2014, vol. 24, no2 [pp. 269-287]

Bibliographic references : 42 ref.

Collation : 13 fig.

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-014-1087-1

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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