The color of water: The contributions of green and blue water to agricultural productivity in the Western Brazilian Amazon

The color of water: The contributions of green and blue water to agricultural productivity in the Western Brazilian Amazon
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DOI:
10.1016/j.worlddev.2021.105607
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发表时间:
2021-10
期刊:
影响因子:
6.9
通讯作者:
Jill L. Caviglia-Harris;T. Biggs;E. Ferreira;Daniel W. Harris;K. Mullan;E. Sills
Jill L. Caviglia-Harris;T. Biggs;E. Ferreira;Daniel W. Harris;K. Mullan;E. Sills
中科院分区:
经济学1区
文献类型:
--
作者:
Jill L. Caviglia-Harris;T. Biggs;E. Ferreira;Daniel W. Harris;K. Mullan;E. Sills

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据预测,森林砍伐和全球气候变化将影响亚马逊地区的降水和农业生产力。传闻证据表明,农民已经受到降水时间和数量变化的影响,但降水影响产量的机制几乎没有量化证据。本文采用了创新的应用遥感和气象数据分离成绿色水(土壤水分,有助于植物用水)和蓝水(地表水)的降雨,估计这些水源对生产和生产效率的影响,在巴西亚马逊河的成熟殖民区的奶制品。这种方法使我们能够通过降水生产因果链推断不同的途径,并将降水变化与对农业利润和福利的影响联系起来。我们发现,生产和生产效率受到绿色和蓝色水的影响,降雨量的减少将产生负面影响,可能会对穷人产生不利影响。我们的方法和结果是翔实的经济学家有兴趣在这个相对较新的应用遥感数据,地理学家有兴趣确定的作用,绿色和蓝色的水在农业生产中,更普遍的研究人员感兴趣的降雨量和水的可用性对小规模生产者在巴西亚马逊河流域的影响。
Deforestation and global climate change are predicted to affect precipitation and agricultural productivity in the Amazon. Anecdotal evidence suggests that farmers are already being affected by changes in the timing and amount of precipitation, but there is little quantitative evidence on the mechanism by which precipitation affects production. This paper uses an innovative application of remote sensing and meteorological data to separate rainfall into green water (soil moisture that contributes to plant water use) and blue water (surface water), to estimate the impact of these water sources on the production and production efficiency of dairy in a mature colonization zone of the Brazilian Amazon. This approach allows us to draw inferences about different pathways through the precipitation-production causal chain and to link changes in precipitation with impacts on farm profits and welfare. We find that production and production efficiency are affected by green and blue water and that reductions in rainfall will have negative impacts that may disproportionally impact the poor. Our methods and results are informative to economists interested in this relatively new application of remote sensing data, to geographers interested in identifying the role of green and blue water in agricultural production, and more generally to researchers interested in the impacts of rainfall and water availability on small-scale producers in the Brazilian Amazon.