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基于SRP模型的内蒙古鄂伦春地区生态脆弱性评价

邰苏日嘎拉, 王永亮, 陈国栋, 李永春, 薛羽, 张永健, 杜雨春子, 杜银龙, 杨建雨. 2024. 基于SRP模型的内蒙古鄂伦春地区生态脆弱性评价[J]. 中国地质, 51(1): 234-247. doi: 10.12029/gc20221025001
引用本文: 邰苏日嘎拉, 王永亮, 陈国栋, 李永春, 薛羽, 张永健, 杜雨春子, 杜银龙, 杨建雨. 2024. 基于SRP模型的内蒙古鄂伦春地区生态脆弱性评价[J]. 中国地质, 51(1): 234-247. doi: 10.12029/gc20221025001
TAI Surigala, WANG Yongliang, CHEN Guodong, LI Yongchun, XUE Yu, ZHANG Yongjian, DU Yuchunzi, DU Yinlong, YANG Jianyu. 2024. Ecological vulnerability assessment of Oroqen Region in the Inner Mongolia based on SRP model[J]. Geology in China, 51(1): 234-247. doi: 10.12029/gc20221025001
Citation: TAI Surigala, WANG Yongliang, CHEN Guodong, LI Yongchun, XUE Yu, ZHANG Yongjian, DU Yuchunzi, DU Yinlong, YANG Jianyu. 2024. Ecological vulnerability assessment of Oroqen Region in the Inner Mongolia based on SRP model[J]. Geology in China, 51(1): 234-247. doi: 10.12029/gc20221025001

基于SRP模型的内蒙古鄂伦春地区生态脆弱性评价

  • 基金项目: 中国地质调查局项目(DD20220860)资助。
详细信息
    作者简介: 邰苏日嘎拉,男,1995年生,工程师,主要从事生态地质调查和评价工作;E-mail:taisurgl@mail.cgs.gov.cn
    通讯作者: 王永亮,男,1993年生,工程师,主要从事生态地质调查和评价工作;E-mail:635593107@qq.com
  • 中图分类号: X826

Ecological vulnerability assessment of Oroqen Region in the Inner Mongolia based on SRP model

  • Fund Project: Supported by the project of China Geological Survey (No. DD20220860).
More Information
    Author Bio: TAI Surigala, male, born in 1995, engineer, mainly engaged in ecological geological survey and evaluation; E-mail: taisurgl@mail.cgs.gov.cn .
    Corresponding author: WANG Yongliang, male, born in 1993, engineer, mainly engaged in ecological geological survey and evaluation; E-mail: 635593107@qq.com.
  • 研究目的

    随着社会经济发展和城镇化率不断提高,当前人类赖以生存的生态环境不断遭受破坏,生态脆弱性日益严峻,生态脆弱性评价已成为了诸多专家学者研究的热点。鄂伦春地区从20世纪产业结构从狩猎业转变为农牧业以来,当地生态环境面临脆弱化的风险。本文通过对鄂伦春地区3期生态脆弱性评价,以期为当地生态环境保护和可持续发展提供科学依据。

    研究方法

    以内蒙古鄂伦春地区为研究区,基于SRP模型,选取生态恢复力、生态压力度和生态敏感性等3种类型14项指标,利用GIS空间主成分分析(SPCA)和地理探测器(GeoDetector)对鄂伦春地区2000、2010、2020年3期生态脆弱性空间分布、时空演变和驱动因子进行分析。

    研究结果

    (1)鄂伦春地区生态脆弱性整体为良好—轻度脆弱状态,一般性脆弱区在3年的分布面积大致相当,中度和重度脆弱区主要分布在阿里河镇南部、乌鲁布铁镇南部、大杨树镇和古里乡,生态环境总体呈现恶化趋势。(2)鄂伦春地区生态脆弱性在2000—2010年间生态环境呈向良好发展趋势,在2010—2020年间生态环境遭受较大破坏,生态脆弱性明显增加,2020年首次出现重度生态脆弱区面积达111.72 km2,占研究区面积的0.51%,生态环境形式严峻。(3)鄂伦春地区生态脆弱性空间分布主要受生物丰度(D2)、景观多样性指数(D3)、高程(D5)、人口密度(D13)等因素影响,在2020年影响因子呈现更加多元化,蔓延度指数(D4)和年均降水量(D12)两个指标对当地生态脆弱性有较强的驱动作用,q值分别为0.737和0.568。

    结论

    鄂伦春地区2000、2010、2020年3期生态脆弱性总体呈现西北部低、东南部高的显著特征,在2000—2010年间生态环境向良好发展,在2010—2020年间生态环境呈恶化趋势,鄂伦春地区生态脆弱性受人为活动和自然因素共同驱动导致。

  • 加载中
  • 图 1  研究区位置图

    Figure 1. 

    图 2  鄂伦春地区2000—2020年3期生态脆弱性标准化指数及等级图

    Figure 2. 

    图 3  各年度生态脆弱性等级占比

    Figure 3. 

    图 4  各年度生态脆弱性等级按乡镇统计

    Figure 4. 

    图 5  鄂伦春地区生态脆弱性时空变化类型

    Figure 5. 

    图 6  鄂伦春地区3期生态脆弱性等级转移变化

    Figure 6. 

    图 7  2000—2020年鄂伦春地区驱动因子q值变化

    Figure 7. 

    表 1  土地利用类型和土壤类型赋值分级标准

    Table 1.  Grading standards for assignment of land use types and soil types

    赋值标准 2 4 6 8 10
    土地利用类型 林地、水域 草地 耕地 建设用地 裸地
    土壤类型 暗棕壤 沼泽土 棕色针叶林土 草甸土 黑土
    下载: 导出CSV

    表 2  鄂伦春地区生态脆弱性分级标准

    Table 2.  Grading standards for ecological vulnerability in Oroqen Region

    脆弱性分类 脆弱性等级 脆弱性分级标准 生态特征
    生态良好区 <0.07 生态功能完善,抗外界能力和自我恢复能力强,生态脆弱性低
    轻度脆弱区 0.07~0.21 生态功能较完善,抗外界能力和自我恢复能力较强,生态脆弱性较低
    一般脆弱区 0.21~0.40 生态功能一般,抗外界能力和自我恢复能力较弱,生态脆弱性较高
    中度脆弱区 0.40~0.69 生态功能出现缺陷,抗外界能力和自我恢复能力弱,生态脆弱性高
    重度脆弱区 >0.69 生态功能严重退化,抗外界能力和自我恢复能力差,生态脆弱性极高
    下载: 导出CSV

    表 3  各年度主成分分析结果

    Table 3.  Results of principal component analysis in each year

    年份主成分
    PC1PC2PC3PC4PC5
    2000特征值$ \lambda $0.1030.0460.0210.0140.012
    贡献率$ A $/%45.14820.0829.1626.2975.431
    累积贡献率/%45.14865.23074.39280.68886.119
    2010特征值$ \lambda $0.0950.0430.0250.0170.014
    贡献率$ A $/%41.94819.10811.1827.4486.143
    累积贡献率/%41.94861.05672.23879.68685.829
    2020特征值$ \lambda $0.1150.0500.0330.0230.017
    贡献率$ A $/%43.04618.75812.2538.5276.464
    累积贡献率/%43.04661.80474.05782.58489.048
    下载: 导出CSV

    表 4  鄂伦春地区生态脆弱性空间分布驱动因子探测q值统计

    Table 4.  Detection q value statistics of spatial distribution driving factors of ecological vulnerability in Oroqen Region

    驱动因子 q
    2000 2010 2020
    归一化植被指数NDVI(D1) 0.199* 0.264* 0.260*
    生物丰度(D2) 0.564* 0.586* 0.672*
    景观多样性指数(D3) 0.682* 0.716* 0.742*
    蔓延度指数(D4) 0.343* 0.404* 0.737*
    高程(D5) 0.651* 0.700* 0.712*
    坡度(D6) 0.085* 0.075* 0.075*
    地形起伏度(D7) 0.217* 0.202* 0.200*
    水土流失率(D8) 0.064* 0.060* 0.060*
    土地利用类型(D9) 0.380* 0.410* 0.378*
    土壤类型(D10) 0.370* 0.400* 0.354*
    年均气温(D11) 0.432* 0.516* 0.484*
    年均降水量(D12) 0.221* 0.243* 0.568*
    人口密度(D13) 0.659* 0.671* 0.583*
    人均GDP(D14) 0.420* 0.328* 0.085*
      注:*表示通过0.05的显著性检验。
    下载: 导出CSV
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出版历程
收稿日期:  2022-10-25
修回日期:  2022-12-08
刊出日期:  2024-01-25

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