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

Auteur(s) et Affiliation(s)

SHI, W.

State Key Lab. of Earth Surface Processes and Resource Ecology, Normal Univ., Beijing, Chine

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

TAO, F.

Inst. of Geographic Sciences and Natural Resources Research, Beijing, Chine

ZHANG, Z.

State Key Lab. of Earth Surface Processes and Resource Ecology, Normal Univ., Beijing, Chine

Description :
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.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2013, vol. 23, n°. 3, p. 567-576, nombre de pages : 10, Références bibliographiques : 37 ref.

Date :
2013

Editeur :
Pays édition : Chine

Langue :
Anglais