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| 乡村三生宜居性测度与多情景模拟预测——以泰来县为例 |
| Measurement and multi-scenario simulation prediction of rural production-living-ecological livability：a case study of Tailai County |
| 投稿时间：2023-12-12 |
| DOI：10.13254/j.jare.2023.0804 |
| 中文关键词: 三生，宜居性，耦合协调，多情景模拟，空间宜居整治 |
| 英文关键词: production-living-ecological space, livability, coupled coordination, multi-scenario simulation, spatial livability remediation |
| 基金项目:国家重点研发计划项目（2024YFD2200900）；中央高校基本科研业务费专项（2572022DX12）；黑龙江省哲学社会科学研究规划项目（21GLB061）；黑龙江省教育科学“十四五”规划2022年度重点课题（GJB1422749） |
| 作者 | 单位 | E-mail | | 王蕾 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 陈媛媛 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 翟雅琳 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 李泽玉 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 贾佳 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 张心语 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 张泽雨 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 周霁涵 | 东北林业大学园林学院, 哈尔滨 150040
黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040 | | | 姚允龙 | 黑龙江省寒区园林植物种质资源开发与景观生态修复重点实验室, 哈尔滨 150040
东北林业大学野生动物与自然保护地学院, 哈尔滨 150040 | yaoyunlong@nefu.edu.cn |
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| 中文摘要: |
| 为探索东北乡村生产-生态-生活（三生）多功能协调的宜居空间格局，本研究以东北典型生态贫困县——黑龙江省泰来县为例，诊断其三生宜居冲突及其结构响应关系，预测不同宜居目标情景下三生空间的演变格局，从而构建了识别与评价-明晰空间结构-目标与模拟的三生空间宜居性整治框架。结果表明：泰来县综合宜居性平均得分为71.25，空间格局呈现出西高东低态势，高宜居区域聚集在西南部中心城区，中宜居空间连续分布在整个研究区内，低宜居空间则呈现出明显的小聚集、大分散的分布特征。泰来县三生宜居性中度协调及优质协调区域占比为59.6%，全域三生宜居性协同一般，空间分布和综合宜居性分布具有高度一致性，东部三生冲突强度显著高于西部。进一步设置生产宜居优先、生态宜居优先、生活宜居优先以及三生协调宜居4种情景，结果显示4种情景下均是生活空间增量最多，生态空间和生产空间因情景不同而呈现出差异性。研究表明，高质量生活、生态和生产空间是提升区域宜居性的关键因素，而三者之间的高效融合与协调是促进多功能协调宜居空间格局形成的关键。 |
| 英文摘要: |
| In this study, we focused on Tailai County, Heilongjiang Province, a typical ecologically impoverished area, to explore the coordinated livability of production-living-ecological areas in the countryside of northeast China. We examined the conflicts and structural responses within the production-living-ecological livability, predicted the evolution of these areas under different livability scenarios, and constructed a framework for spatial structure identification, evaluation, and simulation. Our results revealed that the average livability score in Tailai County was 71.25, and the spatial pattern showed a trend of high in the west and low in the east. High livability areas were clustered in the southwestern central urban region, while medium livability spaces were spread throughout the study area. Low livability spaces exhibited small clusters with large dispersion. Approximately 59.6% of the Tailai County area achieved moderately and above coordination in production-living-ecological livability, with general synergy across the region. The spatial distribution aligned closely with the overall livability, with eastern areas experiencing significantly higher conflict intensity compared with those in the west. By setting scenarios prioritizing production, ecological consideration, and livability, as well as coordinated livability across all three aspects, we observed that living space increased the most, while ecological and production spaces varied depending on the scenario. Our study underscores that high-quality production-living-ecological areas are crucial for enhancing regional livability, efficient integration, and coordination, among other elements key to developing a multifunctional and coordinated livable spatial pattern. |
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