Achieving sustainable crop management: A holistic approach to crop competitiveness assessment and structure optimization with dual natural-social environmental impacts
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引用次数: 0
Abstract
CONTEXT
Improving the spatial pattern of agricultural systems has become a promising approach for enhancing agricultural productivity and sustainability. However, previous studies have often focused on the influence of natural factors on crop distribution, ignoring factors such as human activities, socio-economic level and ecological environment.
OBJECTIVES
This study aims to investigate the influence of natural factors and social environmental drivers on the optimal pattern of multiple crops and evaluate the potential of optimal patterns to enhance agricultural productivity and sustainability.
METHODS
Here, we present a multi-criteria approach integrating natural and social environment system factors and set up three assessment scenarios: crop growth suitability (CGS), crop planting suitability (CPS), and crop planting competitiveness (CPC). Applying this approach to the Shiyang River basin in China as a case study, we assessed the suitability and competitiveness of single crops. To maximize agriculture competitiveness, we optimized the structure of the multi-crop system, and a method was proposed to identify highly suitable intercropping areas using crop competitiveness conflicts. Regional crop water consumption, water productivity, and economic benefits were calculated to analyze the potential for agricultural intensification under different optimization patterns.
RESULTS AND CONCLUSIONS
We found that the weights of four categories factors of location, socio-economic conditions, productivity, and environment protection accounted for 26.9%, 7.5%, 13.7%, and 4.5%, respectively, and the weight of social environmental influence indicators had accounted for about 43.5%, which cannot be ignored. The distribution area above moderate suitability (L2) in the CPS and CPC scenarios was about 7.92% - 30.03% and 6.14% - 26.4% higher than the CGS scenario, respectively. Social environmental factors are important to consider in assessing the suitability of crops. From the spatial structure, three optimization patterns all suggested increasing the planting proportion of wheat and potato in the future. The optimization patterns in CPC scenario could reduce total crop water demand by 91.86 to 175.77 million cubic meters compared with 2020 while showing great potential to improve crop water productivity and net output per cubic meter of water. Furthermore, we offered recommendations for the layouts of common intercropping systems in Northwest China based on the proposed method for identifying high suitability zones.
SIGNIFICANCE
This study emphasizes the importance of considering multiple environments to accurately assess crop suitability and achieve sustainable agricultural. The results could provide useful insights for managing and optimizing diverse planting systems, addressing growing concerns surrounding food and water security in resource-constrained regions.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.