Institute of Rural Revitalization Strategy, Yangzhou University, Yangzhou 225009, China.
Int J Environ Res Public Health. 2022 Oct 20;19(20):13604. doi: 10.3390/ijerph192013604.
The study of rural multifunction interaction has ignored the spatial differentiation characteristics, so it is necessary to reveal in-depth the spatial interaction relationship of rural multifunction interaction on the basis of type division and pattern recognition at the county scale. Taking Anhui as a case study, based on the county scale, the paper constructed an index system of rural multifunction evaluation, and comprehensively applied the improved entropy method, spatial autocorrelation model, and Spearman correlation coefficient to study the temporal-spatial characteristics and tradeoff-synergy relationship of rural multifunction from 2000 to 2020. The results showed that (1) the overall rural production function at the county level in Anhui showed an upward trend, showing a spatial pattern of "low in the south and high in the north". The rural life function was gradually weakened, showing the characteristics of gradual decline from suburban to exurb. The rural ecological function increased, showing a high value distribution in areas with rich mountains and hills or a dense water network. (2) The spatial concentration of HH (High-High) and LL (Low-Low) positive correlation types of rural production, life, and ecological function was significant during the study period. The negative correlation types of HL (High-Low) and LH (Low-High) had low spatial agglomeration and showed discrete distribution. (3) There was a spatial synergistic relationship between rural production and life function at the county scale in Anhui Province. The tradeoff-synergy relationship between rural production and ecological function and between rural life and ecological function showed a trend of synergistic-tradeoff fluctuation. The spatial difference of the rural multifunction tradeoff-synergy relationship was significant during the study period. (4) In the future, we should change the situation that the expansion of rural production function compresses rural life and ecological function, and promote rural life and ecological function to promote the benign and coordinated development of rural multifunction at the county scale in traditional agricultural areas.
该研究忽视了农村多功能交互的空间分异特征，因此有必要在类型划分和模式识别的基础上，深入揭示农村多功能交互的空间相互作用关系。以安徽省为例，基于县域尺度，构建了农村多功能评价指标体系，综合运用改进的熵值法、空间自相关模型和 Spearman 相关系数，研究了 2000—2020 年安徽省农村多功能的时空特征及权衡协同关系。结果表明：（1）安徽省县域农村生产功能总体呈上升趋势，表现为“南高北低”的空间格局；农村生活功能逐渐减弱，呈现出从郊区到远郊逐渐下降的特点；农村生态功能不断增强，呈现出山区或水网密集地区高值分布的特点。（2）研究期间，农村生产、生活和生态功能 HH（高高）和 LL（低低）正相关类型的空间集聚程度显著，HL（高低）和 LH（低高）负相关类型的空间集聚程度较低，呈离散分布。（3）安徽省县域农村生产与生活功能之间存在空间协同关系，农村生产与生态功能和农村生活与生态功能之间存在权衡协同波动关系，研究期间农村多功能权衡协同关系的空间差异显著。（4）未来应改变农村生产功能扩张挤压农村生活和生态功能的局面，促进农村生活和生态功能的提升，推动传统农区县域农村多功能的良性协调发展。
