(Article of periodic en Anglais - 2013)

Document title

A review on statistical models for identifying climate contributions to crop yields

Authors(s) and Affiliation(s)

SHI W. (1 2) ; TAO F. (2) ; ZHANG Z. (1) ;
(1) State Key Lab. of Earth Surface Processes and Resource Ecology, Normal Univ., Beijing, CHINE
(2) Inst. of Geographic Sciences and Natural Resources Research, Beijing, CHINE


This paper introduces 3 main statistical methods, i.e., time-series model, cross-section model and panel model, which have been used to identify such issues in the field of agrometeorology. Generally, research spatial scale could be categorized into 2 types using statistical models, including site scale and regional scale (e.g. global scale, national scale, provincial scale and county scale). Four issues exist in identifying response sensitivity of crop yields to climate change by statistical models. The issues include the extent of spatial and temporal scale, non-climatic trend removal, colinearity existing in climate variables and non-consideration of adaptations. Respective resolutions for the above 4 issues have been put forward in the section of perspective on the future of statistical models


Article of periodic

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

Editor : CHINE

Millesime : 2013, vol. 23, no3 [pp. 567-576]

Bibliographic references : 37 ref.

Collation : 1 tabl.



Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-013-1029-3

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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