Adaptation Strategies under Climate Change for Sustainable Agricultural Productivity

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biometeorology".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 9015

Special Issue Editors


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Guest Editor
Laboratory of General and Agricultural Meteorology, Agricultural University of Athens, 11855 Athens, Greece
Interests: bioclimatology; agrometeorology; big environmental data analysis; R-language
Special Issues, Collections and Topics in MDPI journals
Texas A&M AgriLife Research, Beaumont, TX 77713, USA
Interests: crop modelling; climate change; adaptation; photosynthesis and stomatal simulation

Special Issue Information

Dear Colleagues,

Agriculture around the world has already encountered substantial challenges from extreme climate  and climate change. Climate change will increasingly enhance the intensity and frequency of natural disasters and consequently affect food supply and endanger food security. Adaptation strategies in the agriculture sector are critical for adapting to climate change and resisting climatic disasters.

This Special Issue aims to quantitatively evaluate adaptive technologies and measures, form exercisable adaptation planning, measures, and actions, and assess the impacts of climate change at the field, national, regional, and global scale in a synthesized manner. In order to effectively address climate change, manuscripts should provide the technologies and measures needed for climate change adaptation, including measures related to protecting the environment and improving the utilization of resources such as water and light; and improving the research and development of new technologies such as biotechnology, biology nitrogen fixation, pest and disease control, stress resistance, protected agriculture, and precision agriculture.

The aim of this Special Issue is to present recent improvements in agricultural adaptation measures, methods, and policies. Original research articles and review papers are invited on the following topics:

  1. Development and testing of agricultural adaptation strategies that counteract the negative impacts of climate change;
  2. Methods and criteria that assist in evaluating the many aspects of adapting to future climate change;
  1. Technologies for climate change adaptation in the agriculture sector;
  2. Establishment of an effective technology mechanism to promote the development and transfer of technology;
  3. Elimination of obstacles to technology cooperation and transfer. 

Dr. Ioannis Charalampopoulos
Dr. Sanai Li
Guest Editors

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Keywords

  • agricultural adaptation strategies
  • improving utilization of resources
  • development of new technologies
  • resisting climatic disasters
  • effective technology mechanism

Published Papers (3 papers)

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Research

14 pages, 1781 KiB  
Article
Spatial Analysis of the Vulnerability to Flooding in the Rural Context: The Case of the Emilia Romagna Region
by Gianmarco Di Giustino, Alberto Bonora, Katia Federico, Matelda Reho and Giulia Lucertini
Atmosphere 2022, 13(8), 1181; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13081181 - 26 Jul 2022
Cited by 2 | Viewed by 1895
Abstract
The adversities of climate change represent a serious risk factor on both food production, rural territories and landscapes. In light of these irreversible trends, the process of adaptation of the rural territory is a necessary step, in order to increase its climate resilience. [...] Read more.
The adversities of climate change represent a serious risk factor on both food production, rural territories and landscapes. In light of these irreversible trends, the process of adaptation of the rural territory is a necessary step, in order to increase its climate resilience. In this study, the vulnerability assessment was the tool used to evaluate the specific phenomenon of “flooding and backwatering” in the case study of Emilia Romagna region (Italy). The approach was based on the IPCC’s risk analysis methodology, populated by different layers regarding specifical proxies related to the adaptive capacity and the sensitivity of the territory to water stagnation, then we assessed with the normalization process of the different information levels. The aim of the research consisted in the realization of a regional map of the vulnerability to floods and backwaters, in order to rank the territory to this specific phenomenon. The final result could be useful both for the relationship with planning choices and for local-based actions in agricultural policies that in Italy are taken at regional level. Full article
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15 pages, 1396 KiB  
Article
Determinant Indicators for Assessing the Adaptive Capacity of Agricultural Producers to Climate Change
by María de Lourdes Maldonado-Méndez, José Luis Romo-Lozano and Alejandro Ismael Monterroso-Rivas
Atmosphere 2022, 13(7), 1114; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13071114 - 14 Jul 2022
Cited by 2 | Viewed by 2469
Abstract
Assessing adaptive capacity to climate change is a complex task since it is a multidimensional component. There has been considerable discrepancy between the dimensions or elements that compose it. This study aimed to analyze the relevant dimensions and indicators that allow estimation of [...] Read more.
Assessing adaptive capacity to climate change is a complex task since it is a multidimensional component. There has been considerable discrepancy between the dimensions or elements that compose it. This study aimed to analyze the relevant dimensions and indicators that allow estimation of the adaptive capacity to climate change and to propose a set of indicators that will enable their application to assessment at the level of agricultural producers. A systematic review of scientific literature on evaluating or measuring adaptive capacity to climate change was carried out. Subsequently, the indicators were analyzed and selected through a coincidence analysis and were calibrated through a multicriteria evaluation with relevant actors in the southern Mexico, state of Chiapas. In total, 329 indicators were identified and analyzed. As a result, 19 indicators were selected and then grouped into six dimensions: economic resources, human resources, infrastructure for production and marketing, institutionality, social capital, and natural resources. These represent the 14 specific dimensions with the greatest potential to contribute to the estimation of adaptive capacity to climate change. The dimensions and indicators can be applied to assess the adaptive capacity of farmers in Mexico at a national or regional scale and specifically by producer types. Full article
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19 pages, 1596 KiB  
Article
Climate Change Resilience and Sustainable Tropical Agriculture: Farmers’ Perceptions, Reactive Adaptations and Determinants of Reactive Adaptations in Hainan, China
by Jian Gao, Rabia Shahid, Xiang Ji and Shijie Li
Atmosphere 2022, 13(6), 955; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos13060955 - 11 Jun 2022
Cited by 12 | Viewed by 3887
Abstract
The adversities of a changing climate in developing countries and the related impact on agriculture are directly dependent on the adaptive behavior of local farmers towards climate change events. The perception of farmers as basic executers of agricultural production plays a crucial role [...] Read more.
The adversities of a changing climate in developing countries and the related impact on agriculture are directly dependent on the adaptive behavior of local farmers towards climate change events. The perception of farmers as basic executers of agricultural production plays a crucial role in their adaptation decisions. Through a field survey of 200 farmers in Hainan, China, this study covers the methodological gap in determining the reactive adaptations for coping with the changing climate and the underlying factors of farmers’ adaptive behavior. The results indicated that the smallholder farmers are well aware of climate change, and the majority of them are taking adaptive measures such as following up on weather forecast, changing crop varieties, conserving agriculture through soil conservation and/or agroforestry, modifying different farm operations, increasing investment in infrastructure, increasing non-agricultural income of household, switching to new genetically modified cultivars, and engaging in water conservation methods. A binary logistic regression analysis was performed to study the determinants of farmers’ adaptive behavior, and the results highlighted 10 significant factors affecting farmers’ adaptations, including the age and gender of the farmer, non-agricultural income, training, credit access, policy demand, and perceived changes in climate change events. Our results are in line with the extant literature. The percentage of consistency (POC) was also calculated to evaluate the BLR results, and the overall POC was 60.7%. On the policy front, several suggestions are made based on derived conclusions, such as arranging training programs as a supplement to policymaking, incorporating significant factors for the development of high protection capacity, accounting for gender differences, and supporting crop insurance via subsidies. Full article
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