Jingjie Yan , Bojie Yan , Wenjiao Shi , Yulin Feng
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引用次数: 0
Abstract
CONTEXT
Composting livestock manure in suitable areas near farmlands is important for the application of livestock manure to farmlands and the realization of resource utilization of livestock manure and crop–livestock integration. However, few studies have focused on selecting suitable sites for livestock manure composting.
OBJECTIVE
To process and evaluate the spatial clustering of farmland via six machine learning methods, analyze the priority and limiting factors of suitable site selection for livestock manure composting, and determine suitable sites for livestock manure composting and the annual amount of livestock manure composting in three scenarios.
METHODS
This research investigated the spatial clustering of farmlands by using six machine learning methods. Then, a priority and limitation analysis of suitable sites for livestock manure composting was conducted, and suitable sites for livestock manure composting and the annual amount of livestock manure composting in three scenarios were documented.
RESULTS AND CONCLUSIONS
Results indicated that the algorithm called balanced iterative reducing and clustering using hierarchies could effectively identify uneven spatial clusters of farmlands in hilly areas. A total of 114 suitable sites for livestock manure composting were identified based on the priority and limitation analysis. Then, the spatial association relation between suitable sites for livestock manure composting and farmlands were established. Finally, the annual amount of livestock manure composting at 114 suitable sites for livestock manure composting was estimated as pig manure equivalent in the three scenarios.
SIGNIFICANCE
These findings have significant implications for promoting the resource utilization of livestock manure and crop–livestock integration. The results also help to improve the utilization rate of livestock manure, reduce the economic cost of applying livestock manure to farmland, and alleviate the environmental pollution risk of livestock manure. In addition, the results have good application for the utilization of livestock manure and the layout planning of livestock and poultry breeding.
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.