Conserving cropland resilience space in alpine agro-pastoral ecotones: A quantitative study of Qinghai Province

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Hongyu Wang , Rongrong Ma , Juan Wang , Huizhong Zhang , Wei Zhou
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引用次数: 0

Abstract

CONTEXT

Influenced by natural conditions, geographic location and socioeconomics, Qinghai Province is a typical alpine agro-pastoral ecotone; additionally, its food production system cannot cope with many risks, and exploring the suitability of resilient cropland spaces and rational utilization paths is of practical significance.

OBJECTIVE

The objectives of this study are to explore the influencing factors of the resilience space of cropland in the alpine agro-pastoral ecotone and to establish a method to quantify the quantity and quality of resilience space. Finally, recommendations for the development and utilization of cropland resilience space and cropland protection in Qinghai Province are presented.

METHODS

This study takes cropland system resilience as the theoretical basis and creates a conceptual model of the factors influencing cropland resilience space. The Cropland Resilience Space Index (CRSI) is constructed from the three factors of suitability, scale and aggregation and is used to quantify the spatial suitability of cropland resilience in Qinghai Province.

RESULTS AND CONCLUSIONS

The results revealed that there are 441,000 ha of cropland resilience space in Qinghai Province, low values of the suitability factor are distributed mainly in the edge areas of the Kunlun Mountains and the Qilian Mountains, and the scale factor and aggregation factor are generally high in the west and low in the east. The average CRSI value in Qinghai Province is 0.445, and that in Haixi Prefecture is 0.469, which is higher than the average value. Priority should be given to the development of cropland resilience space in the eastern part of Dulan County and Golmud city based on utilization sustainability and ecological stability.

SIGNIFICANCE

This research will help enrich research methods for the sustainable utilization of cropland and help promote the transformation of cropland protection policies from rigid to resilient. The quantitative results of the cropland resilience space in the alpine agriculture and animal husbandry intertwined zone can provide a reference basis for rationally formulating the policies of cropland protection and resilience space development and utilization.

Abstract Image

青海省高寒农牧交错带耕地恢复空间保护的定量研究
受自然条件、地理位置和社会经济的影响,青海省是典型的高寒农牧交错带;此外,其粮食生产系统无法应对许多风险,探索弹性耕地空间的适宜性和合理利用路径具有重要的现实意义。目的探讨高寒农牧交错带耕地弹性空间的影响因素,建立弹性空间数量和质量的量化方法。最后,对青海省耕地弹性空间的开发利用和耕地保护提出了建议。方法以耕地系统弹性为理论基础,建立耕地弹性空间影响因素的概念模型。从适宜性、尺度和聚集性三个因素构建了耕地弹性空间指数(CRSI),用于量化青海省耕地弹性的空间适宜性。结果与结论结果表明:青海省耕地弹性空间面积为44.1万ha,适宜性因子低值区主要分布在昆仑山和祁连山边缘地区,尺度因子和聚集因子总体呈西高东低的趋势;青海省的CRSI平均值为0.445,海西地区的CRSI平均值为0.469,均高于平均值。基于利用可持续性和生态稳定性,都兰县东部和格尔木市应优先发展农田弹性空间。意义丰富耕地可持续利用的研究方法,促进耕地保护政策由刚性向弹性的转变。高寒农牧交错带耕地弹性空间定量结果可为合理制定耕地保护和弹性空间开发利用政策提供参考依据。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
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.
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