Literature DB >> 27392696

CropWatch agroclimatic indicators (CWAIs) for weather impact assessment on global agriculture.

René Gommes1, Bingfang Wu2, Ning Zhang1, Xueliang Feng1, Hongwei Zeng1, Zhongyuan Li1, Bo Chen1.   

Abstract

CropWatch agroclimatic indicators (CWAIs) are a monitoring tool developed by the CropWatch global crop monitoring system in the Chinese Academy of Sciences (CAS; www.cropwatch.com.cn , Wu et al Int J Digital Earth 7(2):113-137, 2014, Wu et al Remote Sens 7:3907-3933, 2015). Contrary to most other environmental and agroclimatic indicators, they are "agronomic value-added", i.e. they are spatial values averaged over agricultural areas only and they include a weighting that enhances the contribution of the areas with the largest production potential. CWAIs can be computed for any time interval (starting from dekads) and yield one synthetic value per variable over a specific area and time interval, for instance a national annual value. Therefore, they are very compatible with socio-economic and other variables that are usually reported at regular time intervals over administrative units, such as national environmental or agricultural statistics. Two of the CWAIs are satellite-based (RAIN and Photosynthetically Active radiation, PAR) while the third is ground based (TEMP, air temperature); capitals are used when specifically referring to CWAIs rather than the climate variables in general. The paper first provides an overview of some common agroclimatic indicators, describing their procedural, systemic and normative features in subsequent sections, following the terminology of Binder et al Environ Impact Assess Rev 30:71-81 (2010). The discussion focuses on the systemic and normative aspects: the CWAIs are assessed in terms of their coherent description of the agroclimatic crop environment, at different spatial scales (systemic). The final section shows that the CWAIs retain key statistical properties of the underlying climate variables and that they can be compared to a reference value and used as monitoring and early warning variables (normative).

Entities:  

Keywords:  Agroclimatic indicators; Crop monitoring; CropWatch; Early warning; Scaling

Mesh:

Year:  2016        PMID: 27392696     DOI: 10.1007/s00484-016-1199-7

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  2 in total

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Authors:  Corey J A Bradshaw; Xingli Giam; Navjot S Sodhi
Journal:  PLoS One       Date:  2010-05-03       Impact factor: 3.240

2.  Climate change or land use dynamics: do we know what climate change indicators indicate?

Authors:  Miguel Clavero; Daniel Villero; Lluís Brotons
Journal:  PLoS One       Date:  2011-04-21       Impact factor: 3.240

  2 in total

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