Caetano Jordana Moura, Tessarolo Geiziane, de Oliveira Guilherme, Souza Kelly da Silva E, Diniz-Filho José Alexandre Felizola, Nabout João Carlos
Campus de Ciências Exatas e Tecnológicas (CCET), Universidade Estadual de Goiás, Anápolis, Goiás, Brazil.
Centro de Ciências Agrárias, Ambientais e Biológicas, Setor de Biologia, Universidade Federal do Recôncavo da Bahia (UFRB), Cruz das Almas, Bahia, Brazil.
PLoS One. 2018 Jan 30;13(1):e0191273. doi: 10.1371/journal.pone.0191273. eCollection 2018.
The impacts of global climate change have been a worldwide concern for several research areas, including those dealing with resources essential to human well being, such as agriculture, which directly impact economic activities and food security. Here we evaluate the relative effect of climate (as indicated by the Ecological Niche Model-ENM) and agricultural technology on actual soybean productivity in Brazilian municipalities and estimate the future geographic distribution of soybeans using a novel statistical approach allowing the evaluation of partial coefficients in a non-stationary (Geographically Weighted Regression; GWR) model. We found that technology was more important than climate in explaining soybean productivity in Brazil. However, some municipalities are more dependent on environmental suitability (mainly in Southern Brazil). The future environmental suitability for soybean cultivation tends to decrease by up 50% in the central region of Brazil. Meanwhile, southern-most Brazil will have more favourable conditions, with an increase of ca. 25% in environmental suitability. Considering that opening new areas for cultivation can degrade environmental quality, we suggest that, in the face of climate change impacts on soybean cultivation, the Brazilian government and producers must invest in breeding programmes and more general ecosystem-based strategies for adaptation to climate change, including the development of varieties tolerant to climate stress, and strategies to increase productivity and reduce costs (social and environmental).
全球气候变化的影响已成为多个研究领域的全球关注焦点,其中包括那些涉及对人类福祉至关重要的资源的领域,如农业,农业直接影响经济活动和粮食安全。在此,我们评估气候(由生态位模型 - ENM 表示)和农业技术对巴西各市实际大豆生产力的相对影响,并使用一种新颖的统计方法估计大豆未来的地理分布,该方法允许在非平稳(地理加权回归;GWR)模型中评估偏系数。我们发现,在解释巴西大豆生产力方面,技术比气候更为重要。然而,一些市对环境适宜性的依赖更强(主要在巴西南部)。巴西中部地区大豆种植未来的环境适宜性可能会下降多达 50%。与此同时,巴西最南部地区将具备更有利的条件,环境适宜性将增加约 25%。鉴于开辟新的种植区域可能会降低环境质量,我们建议,面对气候变化对大豆种植的影响,巴西政府和生产者必须投资于育种计划以及更广泛的基于生态系统的气候变化适应策略,包括培育耐气候胁迫的品种,以及提高生产力和降低成本(社会和环境成本)的策略。