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喀麦隆玉米、小米和水稻产量对生长季节降水和社会经济指标的脆弱性。

Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon.

机构信息

International Water Research Institute (IWRI), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco.

Department of Geography, McGill University, Montreal, Quebec, Canada.

出版信息

PLoS One. 2021 Jun 9;16(6):e0252335. doi: 10.1371/journal.pone.0252335. eCollection 2021.

Abstract

In sub-Saharan Africa growing season precipitation is affected by climate change. Due to this, in Cameroon, it is uncertain how some crops are vulnerable to growing season precipitation. Here, an assessment of the vulnerability of maize, millet, and rice to growing season precipitation is carried out at a national scale and validated at four sub-national scales/sites. The data collected were historical yield, precipitation, and adaptive capacity data for the period 1961-2019 for the national scale analysis and 1991-2016 for the sub-national scale analysis. The crop yield data were collected for maize, millet, and rice from FAOSTAT and the global yield gap atlas to assess the sensitivity both nationally and sub-nationally. Historical data on mean crop growing season and mean annul precipitation were collected from a collaborative database of UNDP/Oxford University and the climate portal of the World Bank to assess the exposure both nationally and sub-nationally. To assess adaptive capacity, literacy, and poverty rate proxies for both the national and regional scales were collected from KNOEMA and the African Development Bank. These data were analyzed using a vulnerability index that is based on sensitivity, exposure, and adaptive capacity. The national scale results show that millet has the lowest vulnerability index while rice has the highest. An inverse relationship between vulnerability and adaptive capacity is observed. Rice has the lowest adaptive capacity and the highest vulnerability index. Sub-nationally, this work has shown that northern maize is the most vulnerable crop followed by western highland rice. This work underscores the fact that at different scales, crops are differentially vulnerable due to variations in precipitation, temperature, soils, access to farm inputs, exposure to crop pest and variations in literacy and poverty rates. Therefore, caution should be taken when transitioning from one scale to another to avoid generalization. Despite these differences, in the sub-national scale, western highland rice is observed as the second most vulnerable crop, an observation similar to the national scale observation.

摘要

在撒哈拉以南非洲,生长季节的降水受到气候变化的影响。因此,在喀麦隆,一些作物对生长季节降水的脆弱性尚不确定。在这里,对玉米、小米和水稻在全国范围内对生长季节降水的脆弱性进行了评估,并在四个次国家尺度/地点进行了验证。收集的数据是 1961-2019 年期间全国范围内的历史产量、降水和适应能力数据,以及 1991-2016 年期间次国家范围内的历史产量、降水和适应能力数据。玉米、小米和水稻的作物产量数据来自 FAOSTAT 和全球产量差距图集,以评估全国和次国家范围内的敏感性。从开发计划署/牛津大学合作数据库和世界银行气候门户收集了历史上的作物生长季节和平均年降水数据,以评估全国和次国家的暴露程度。为了评估适应能力,从 KNOEMA 和非洲开发银行收集了国家和地区尺度的识字率和贫困率代理数据。使用基于敏感性、暴露度和适应能力的脆弱性指数对这些数据进行了分析。全国尺度的结果表明,小米的脆弱性指数最低,而水稻的脆弱性指数最高。脆弱性与适应能力呈反比关系。水稻的适应能力最低,脆弱性指数最高。在次国家尺度上,这项工作表明,北部玉米是最脆弱的作物,其次是西部高地水稻。这项工作强调了一个事实,即在不同的尺度上,由于降水、温度、土壤、获得农业投入的机会、作物病虫害暴露程度以及识字率和贫困率的差异,作物的脆弱性存在差异。因此,在从一个尺度过渡到另一个尺度时,应谨慎行事,避免一概而论。尽管存在这些差异,但在次国家尺度上,西部高地水稻被观察到是第二脆弱的作物,这一观察结果与全国尺度的观察结果相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4b5/8189487/f550a4dc463c/pone.0252335.g001.jpg

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