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| 黄河下游地区国土空间动态变化及生态服务功能交叉敏感性研究 |
| Land space dynamic changes and cross-sensitivity of ecological service function in the lower Yellow River reaches |
| Received:September 01, 2022 Revised:November 15, 2022 |
| DOI：10.13254/j.jare.2022.0604 |
| 中文关键词: 国土空间，国土空间动态，生态服务功能，优化的交叉敏感性系数，黄河下游地区 |
| 英文关键词: land space, land space dynamic, ecological service function, coefficient of optimization cross-sensitivity, lower reaches of the Yellow River |
| 基金项目:国家自然科学基金青年科学基金项目（41801173）；山东建筑大学博士科研基金项目（XNBS1826） |
| Author Name | Affiliation | | LU Chang | School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China | | ZHANG Shuheng | School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China | | ZENG Rong | School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China | | QIU Xinhan | School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China | | DONG Guanglong | School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China |
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| 中文摘要: |
| 为分析不同国土空间转换类型对生态系统服务影响程度的差异性，以黄河下游地区167个县区为研究单元，利用1990、2000、2010年和2018年四期土地利用变化遥感监测数据，在对国土空间进行分类识别的基础上，分析黄河下游地区国土空间时空变化特征，利用优化的交叉敏感性系数模型探讨国土空间动态变化对生态服务价值的影响并划分敏感性分区。结果表明：1990—2018年黄河下游地区国土空间转换幅度较为剧烈，生产空间整体收缩，生活空间显著扩张70.56万hm2，生态空间减少29.3万hm2；生态服务价值总量不断增加，共增加206.70亿元，地均生态服务价值变化幅度较小；交叉敏感性系数较高的是工矿生产空间与水域生态空间、水域生态空间与城镇生活空间，其他生态空间与农村生活空间、城镇生活空间的转换缺乏敏感性；不同转换的交叉敏感性分区在布局上存在差别，农业生产空间和水域生态空间转换的高敏感区集中在周口市和商丘市，农业生产空间和城镇生活空间转换的中、高敏感区主要分布在泰沂山脉沿线、黄淮平原腹地。研究表明：优化的交叉敏感性系数模型用系数的正值和负值表示不同转换类型对生态服务价值的促进和抑制效果，较为清晰地反映了不同国土空间类型之间的净转换对生态服务价值的影响程度。 |
| 英文摘要: |
| To analyze the differences in the degree of impact of different types of land space transformations on ecosystem services, 167 counties and districts in the lower reaches of the Yellow River were considered as the research unit and analyzed using remote sensing monitoring data of the four phases of land use change in 1990, 2000, 2010, and 2018. The analysis was based on the classification and identification of territorial space and temporal and spatial variation characteristics of the territorial space in the lower reaches of the Yellow River. The coefficient of optimization cross-sensitivity was used to evaluate the impact of land space dynamic changes on the ecological service value and to divide zones based on sensitivity. During the study period, the spatial conversion of the lower reaches of the Yellow River was more intense, the production space shrank as a whole, the living space expanded by 7.056×105 hm2, and the ecological space decreased by 2.93×105 hm2. The total ecosystem service value increased continuously, with a total increase of 20.67 billion yuan, and the average ecosystem service value changed insignificantly. The highest cross-sensitivity coefficients were for the industrial and mining productive space and the water ecological space, the water ecological space and the urban living space, and lack of sensitivity to the transition between other ecological spaces to rural and urban living spaces. There were differences in the layouts of cross-sensitive partitions of different transformations, and the highly sensitive areas of the agricultural production and water ecological spaces were concentrated in Zhoukou City and Shangqiu City. The medium and highly sensitive areas of agricultural production and urban living spaces were mainly distributed along the Taiyi Mountain, in the hinterland of the Huanghuai Plain. The results show that the coefficient of optimization cross-sensitivity model uses the positive and negative coefficients to express the promotion or inhibition effect of different conversion types on the ecological service value, which clearly reflects the degree of influence of net conversion between different land spatial types on the ecological service value. |
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