Optimizing Crop Management Strategies for Climate Resilience Using Advanced Modeling Techniques

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Ecosystem, Environment and Climate Change in Agriculture".

Deadline for manuscript submissions: 25 July 2025 | Viewed by 749

Special Issue Editors


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Guest Editor
College of Geography Science, Hebei Normal University, Shijiazhuang 050024, China
Interests: climate change; crop model; agroecology; groundwater; future climate scenario; extreme climate
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Co-Guest Editor
Engineering Technology Research Center, Geographic Information Development and Application of Hebei, Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang 050011, China
Interests: climate; maize; model

Special Issue Information

Dear Colleagues,

The climate is already changing and the likelihood of multiple climate-induced risks affecting agricultural production is expected to increase in the future. In the face of climate change with more frequent and severe extreme weather, the great challenge facing agriculture in the 21st century is to achieve food security for a growing world population. Whether and where we address agricultural challenges and how we manage agroecosystems will have a direct impact on several Sustainable Development Goals (SDGs), including Zero Hunger (SDG 2), No Poverty (SDG 1), Good Health and Well-being (SDG 3), and Climate Action (SDG 13). To address the multiple impacts of climate change, optimizing crop management can achieve similar or higher levels of crop productivity and economic efficiency than conventional crop management. Therefore, how to effectively propose and evaluate different management strategies to improve crop climate resilience is an important scientific issue at present. Modelling, as a more mechanistic understanding of climate impacts and management options for adaptation and mitigation, is a key tool for exploring agricultural awareness and adaptations to climate change.

This Special Issue focuses on linking experiments more closely with statistics and ecophysiological crop modelling for a more comprehensive and integrated assessment of agricultural impacts and adaptations to climate change. It also covers the optimization of crop management strategies for climate resilience, taking into account biophysical and socioeconomic factors. All types of articles, such as original research, opinions, and reviews, are welcome.

Prof. Dr. Dengpan Xiao
Dr. Huizi Bai
Guest Editors

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Keywords

  • adaptation
  • climate risk
  • crop model
  • extreme weather
  • genotype
  • field management
  • optimizing
  • crop systems

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Published Papers (1 paper)

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Research

29 pages, 13312 KiB  
Article
Multi Standardized Precipitation Evapotranspiration Index (Multi-SPEI-ETo): Evaluation of 40 Empirical Methods and Their Influence in SPEI
by Tariacuri Marquez-Alvarez, Joel Hernandez Bedolla, Jesus Pardo-Loaiza, Benjamín Lara-Ledesma and Constantino Domínguez-Sánchez
Agriculture 2025, 15(7), 703; https://doi.org/10.3390/agriculture15070703 - 26 Mar 2025
Viewed by 330
Abstract
Reference evapotranspiration (ETo) refers to the combined processes of evaporation and transpiration, which are relevant for hydrology, climate change research, and irrigation system design. The ETo is considered for different climatological studies, agriculture-focused studies, drought indices and climate change as well. From the [...] Read more.
Reference evapotranspiration (ETo) refers to the combined processes of evaporation and transpiration, which are relevant for hydrology, climate change research, and irrigation system design. The ETo is considered for different climatological studies, agriculture-focused studies, drought indices and climate change as well. From the ETo, water needs can be obtained, and along with precipitation, it is important to determine water availability and drought indices like the Standardized Precipitation Evapotranspiration Index (SPEI). Currently, there are different methods to estimate the ETo based on various climatic variables, which have been proposed for different climates and applied in different regions worldwide. The method standardized by most studies for determining the ETo is the “modified Penman–Monteith” method by the Food and Agriculture Organization (FAO). This method is versatile as it considers different climatic conditions and global latitudes. Due to limited climate data in developing countries like Mexico, alternative methods are used. The present study analyzed 40 comparative methods for determining ETo and their influence on SPEI. The best methods for the study area were chosen, including Hansen, Hargreaves and Samani, and Trajkovic, as they are the best based on the available information in Mexico. Additionally, each equation was adjusted to reduce errors and achieve closer approximations to actual ETo values to obtain the most accurate values possible. The influence on SPEI calculation indicates overestimations in temperature-based methods and underestimations in radiation and mass-transfer-based methods. The SPEI calculation showed fewer errors when using the modified HANSEN equations. In the absence of information, Allen’s temperature-based method is recommended. Full article
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