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高原生态脆弱区“三生”空间冲突演化及生境质量响应:以青海省为例
摘要点击 238  全文点击 5  投稿时间:2025-03-18  修订日期:2025-06-10
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中文关键词  “三生”空间  空间冲突  生境质量  空间自相关  青藏高原
英文关键词  production-living-ecological spaces  space conflict  habitat quality  space autocorrelation  Qinghai-Xizang Plateau
DOI  10.13227/j.hjkx.202503204
作者单位E-mail
何福杰 宁夏大学民族与历史学院, 银川 750021 hfj7515@163.com 
胡西武 青海民族大学经济与管理学院, 西宁 810007
天津大学-青海民族大学双碳研究院, 西宁 810007 
 
黄立军 宁夏大学经济管理学院, 银川 750021 hlj1963@163.com 
温雪 宁夏大学经济管理学院, 银川 750021  
张学妹 中铁十一局集团有限公司, 武汉 430061  
岳雨衡 宁夏大学经济管理学院, 银川 750021  
曹雪梅 中共哈巴河县委党校, 哈巴河 836700  
中文摘要
      青海省作为青藏高原自然地理单元最具代表性的区域之一,是国家重要的生态安全屏障. 探究青海省过去20 a间“三生”空间冲突演化及生境质量响应特征和未来情景演进,不仅对研究区的生态建设与经济协调发展具有重要指导意义,也可为青藏高原其他区域的生态保护与土地高效利用提供参考. 基于青海省2000~2020年5期土地利用数据,剖析“三生”空间利用变化及空间冲突特征,运用GMOP-FLUS-InVEST模型刻画未来“三生”空间利用格局,探讨多情景模拟下的“三生”空间冲突格局和生境质量响应特征,采用双变量空间自相关模型探究“三生”空间冲突与生境质量的空间关系. 结果表明:①2000~2020年,青海省以生态空间为主,生产空间面积构成次之,生活空间面积构成较小;自然发展、生态优先、经济优先和均衡发展情景下,其他生态空间和乡村生活空间面积均呈缩减趋势,其余空间类型面积均呈现不同程度的增加. ②青海省生境质量呈“波浪式”上升趋势,均值由2000年的0.568 7上升至2020年的0.589 3;自然发展、生态优先、经济优先和均衡发展情景下2035年青海省平均生境质量分别为0.605 6、 0.629 3、 0.595 8和0.629 0. ③青海省“三生”空间冲突在空间分布上具有显著的区域差异,冲突值较高区域主要集中在地形相对平坦的青海高原和柴达木盆地腹地及其周边区域,零散分布在青海省的东部区域. ④“三生”空间冲突与生境质量整体上呈现显著的空间负相关,但同时存在高空间冲突与高生境质量并存的区域,主要集中在三江源自然保护区的南部地区及河湟谷地的大部分地区.
英文摘要
      As one of the most representative regions of the natural geographical units on the Qinghai-Xizang Plateau, Qinghai Province serves as a critical ecological security barrier for China. Investigating the evolution of “production-living-ecological” spatial conflicts, habitat quality response characteristics over the past two decades, and their future scenario projections in Qinghai Province not only provides significant guidance for coordinating ecological conservation and economic development in the study area but also offers references for ecological protection and efficient land use in other regions of the Qinghai-Xizang Plateau. Based on land use data from 2000 to 2020 in Qinghai Province, this study analyzes the spatiotemporal changes and spatial conflict characteristics of “production-living-ecological” spaces. The GMOP-FLUS-InVEST model was employed to simulate future “production-living-ecological” spatial patterns under multiple scenarios, exploring the spatial conflict dynamics and habitat quality responses. A bivariate spatial autocorrelation model was used to examine the spatial relationship between “production-living-ecological” spatial conflicts and habitat quality. The results indicate: ① From 2000 to 2020, ecological spaces dominated Qinghai Province, followed by production spaces, while living spaces constituted the smallest proportion. Under the scenarios of natural development, ecological priority, economic priority, and balanced development, areas of other ecological spaces and rural living spaces exhibited a decreasing trend, while the areas of other spatial types demonstrated varying degrees of increase. ② The average habitat quality in Qinghai Province displayed a fluctuating upward trend, increasing from 0.568 7 in 2 000 to 0.589 3 in 2020. Under the scenarios of natural development, ecological priority, economic priority, and balanced development, the projected mean habitat quality in Qinghai Province for 2035 was 0.605 6, 0.629 3, 0.595 8, and 0.629 0, respectively. ③“Production-living-ecological” spatial conflicts exhibited significant regional heterogeneity, with higher conflict values concentrated in topographically flat areas such as the Qinghai Plateau and the Qaidam Basin, as well as scattered regions in eastern Qinghai. ④ A significant spatial negative correlation was observed between “production-living-ecological” conflicts and habitat quality. However, areas with both high spatial conflicts and high habitat quality coexisted, primarily in the southern Three-River Source Nature Reserve and parts of the Hehuang Valley.

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