Abstract
Evidence suggests that climate change could drastically reduce Mexico's agricultural productivity with severe socio-ecological consequences. Population growth and the increasing demand of resources will exacerbate these impacts. Focusing on rainfed maize production, we evaluate the socio-ecological risk that municipalities currently face and how climate change could modify it. Municipalities were classified based on their biophysical and socioeconomic traits like temperature, precipitation, population, gross domestic product, marginalization, and agricultural subsidies. The study identifies municipalities that would face higher risk under climate change conditions, and it evaluates whether increases in agricultural subsidies could be effective for reducing the farmers' future risk. Our results show that during the 2010's, 36.8% of the municipalities and 15% of the population were at very high and high risk, respectively. By 2070, under a high-warming scenario these figures increase to 56.5 and 18.5%. We find that a generalized augment in agricultural subsidies is not enough to compensate for the effects of climate change on the socio-ecological risk of rainfed maize producers. We suggest that transformative adaptation is required for managing the agricultural risk that socio-ecological systems experience under climate change conditions. Such adaptation strategies should include poverty alleviation, promotion of resistant and native varieties of crops, capacity building to improve management and water use, sustainable technification, and soil restoration.
| Original language | English |
|---|---|
| Article number | 674693 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | Frontiers in Climate |
| Volume | 3 |
| Issue number | June |
| Early online date | 10 Jun 2021 |
| DOIs | |
| Publication status | Published - Jun 2021 |
Bibliographical note
Funding Information:AH thanks the Ph.D. Program in Sustainability Sciences of the National Autonomous University of Mexico (UNAM). And to the Consejo Nacional de Ciencia y Tecnolog?a (CONACYT) for the offering the scholarship (No. 728645). Funding. This work was supported by UNAM-DGAPA Grant No. IN111221 and IT200618. JV acknowledges support from PINCC-UNAM project grants 2020. AM-P acknowledges support from UNAM-DGAPA.
Funding Information:
AH thanks the Ph.D. Program in Sustainability Sciences of the National Autonomous University of Mexico (UNAM). And to the Consejo Nacional de Ciencia y Tecnología (CONACYT) for the offering the scholarship (No. 728645).
Funding Information:
This work was supported by UNAM-DGAPA Grant No. IN111221 and IT200618. JV acknowledges support from PINCC-UNAM project grants 2020. AM-P acknowledges support from UNAM-DGAPA.
Publisher Copyright:
Copyright © 2021 Haro, Mendoza-Ponce, Calderón-Bustamante, Velasco and Estrada.
Funding
AH thanks the Ph.D. Program in Sustainability Sciences of the National Autonomous University of Mexico (UNAM). And to the Consejo Nacional de Ciencia y Tecnología (CONACYT) for the offering the scholarship (No. 728645). Funding. This work was supported by UNAM-DGAPA Grant No. IN111221 and IT200618. JV acknowledges support from PINCC-UNAM project grants 2020. AM-P acknowledges support from UNAM-DGAPA. AH thanks the Ph.D. Program in Sustainability Sciences of the National Autonomous University of Mexico (UNAM). And to the Consejo Nacional de Ciencia y Tecnología (CONACYT) for the offering the scholarship (No. 728645). This work was supported by UNAM-DGAPA Grant No. IN111221 and IT200618. JV acknowledges support from PINCC-UNAM project grants 2020. AM-P acknowledges support from UNAM-DGAPA.
| Funders | Funder number |
|---|---|
| PINCC-UNAM | |
| Consejo Nacional de Ciencia y Tecnología | 728645 |
| Universidad Nacional Autónoma de México | |
| Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México | IN111221, IT200618 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- climate change
- maize
- Mexico
- risk assessment
- socio-ecological system
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