我国中东部地区国家级生态农场时空分布特征及其影响机制

Spatio-temporal distribution pattern and influencing mechanism of national ecological farms in the central and eastern regions of China

  • 摘要: 作为我国生态农业的主要实施方式, 生态农场建设对于减少农业消耗、缓解环境污染、改善食品安全具有重要作用, 近年来在全国范围内发展迅速。本研究以我国中东部地区为研究区, 选取了2021—2023年农业农村部公布的国家级生态农场, 并收集相应区域农业资源禀赋、社会经济条件、科研政策支持以及自然环境条件数据作为影响因子, 从区域和省域内两个尺度探讨研究区生态农场的时空分布特征及其影响因素。结果显示: 1) 区域尺度上, 以种植型为主, 我国中东部地区生态农场总体呈聚集分布, 生态农场分布的均衡程度呈逐年增加的趋势; 2) 从省域内尺度上, 研究区有7个省内生态农场呈聚集分布, 其余9个呈随机分布, 国家级生态农场越少的省份其空间分布越不均衡; 3) 农业资源禀赋、社会经济条件、科研政策支持(省域内尺度上)以及自然环境条件(区域尺度上)中各因子均对研究区生态农场分布具有显著性影响, 其中人均GDP、科研创新性具有相对较高解释力, 且与产业基础、耕地密度、年均降水量以及年均气温交互作用影响生态农场空间分布。本研究结果证实, 优化我国生态农场空间布局需综合考虑当地经济发展水平及其与农业资源的相关关系, 推广科技创新型生态农场建设的同时关注区域尺度上科研创新能力与气候和降水量交互作用的影响。

     

    Abstract: As the primary mode of implementing ecological agriculture in China, the development of ecological farms has grown rapidly in recent years, playing a vital role in reducing agricultural consumption, alleviating environmental pollution, and improving food safety. In this study, the national ecological farms announced by the Ministry of Agriculture and Rural Affairs from 2021 to 2023 were selected from the central and eastern regions of China. Data on agricultural resource endowment, socioeconomic conditions, scientific research policy support, and natural environmental conditions were collected as the influencing factors to explore the spatial and temporal distribution characteristics. The influencing factors of ecological farms in the study area were discussed at the regional and provincial scales. The results showed the following: 1) On a regional scale, the ecological farms in Central and Eastern China, especially the planting ecological farms, were generally distributed aggregately. The degree of balanced distribution of ecological farms, mainly planting ecological farms, in the provinces of the central and eastern regions showed an increasing trend annually. 2) At the provincial scale, there were seven provinces in the study area where ecological farms were clustered, and the remaining nine provinces were randomly distributed. Among them, the fewer the national ecological farms, the more uneven the spatial distribution. 3) The agricultural resource endowment, socioeconomic conditions, scientific research policy support (on the provincial scale), and natural environmental conditions (on the regional scale) all have a significant impact on the distribution of ecological farms in the study area, among which per capita GDP and scientific research innovation have relatively high explanatory power, which interacts with industrial foundation, cultivated land density, average annual precipitation, and average annual temperature to affect the spatial distribution of ecological farms. The results of this study confirm that the optimization of the spatial distribution of ecological farms in China requires a comprehensive consideration of local economic development and its relationship with agricultural resources, promotion of technology-driven eco-friendly farm construction, and a focus on the interaction between climate and precipitation at a regional scale.

     

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