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基于土地利用变化的赤水河流域生态系统服务价值变化分析

杨应增 周来丰 夏伟 王敏姿

杨应增,周来丰,夏伟,等.基于土地利用变化的赤水河流域生态系统服务价值变化分析[J].环境工程技术学报,2023,13(2):694-703 doi: 10.12153/j.issn.1674-991X.20220158
引用本文: 杨应增,周来丰,夏伟,等.基于土地利用变化的赤水河流域生态系统服务价值变化分析[J].环境工程技术学报,2023,13(2):694-703 doi: 10.12153/j.issn.1674-991X.20220158
YANG Y Z,ZHOU L F,XIA W,et al.Ecosystem service value change analysis of Chishui River Basin based on land use change[J].Journal of Environmental Engineering Technology,2023,13(2):694-703 doi: 10.12153/j.issn.1674-991X.20220158
Citation: YANG Y Z,ZHOU L F,XIA W,et al.Ecosystem service value change analysis of Chishui River Basin based on land use change[J].Journal of Environmental Engineering Technology,2023,13(2):694-703 doi: 10.12153/j.issn.1674-991X.20220158

基于土地利用变化的赤水河流域生态系统服务价值变化分析

doi: 10.12153/j.issn.1674-991X.20220158
基金项目: 贵州省教育厅青年科技人才成长项目(黔教合KY字〔2020〕229,黔教合KY字〔2018〕470);贵州省林业科研课题(黔林科合J〔2018〕03)
详细信息
    作者简介:

    杨应增(1993—),男,助教,硕士,主要研究方向为流域生态环境保护,yangyingzeng@mtxy.edu.cn

  • 中图分类号: X824

Ecosystem service value change analysis of Chishui River Basin based on land use change

  • 摘要:

    以赤水河流域1990年、1999年、2010年和2018年的遥感解译土地利用数据为依据,采用经本地化校正的当量因子法和GIS空间分析技术,分析赤水河流域28年间的土地利用变化特征、生态系统服务价值(ESV)变化特征以及土地利用变化对ESV变化的影响。结果表明:1990—2018年,赤水河流域耕地、草地和未利用地面积减少,建设用地、林地和水域面积增加;土地转换以耕地—林地—草地之间的相互流转和建设用地对耕地与草地的侵占为主。1990—2018年,赤水河流域ESV从411.90亿元增至413.54亿元,林地是ESV的主要贡献部分,水域面积增加是ESV增加的主要影响因素,ESV空间分布呈现出中游高、上下游低的特征,高值区域与林地分布高度重叠。城市建设用地连续扩张引起ESV降低,林地和水域、耕地和草地因面积变化分别对ESV贡献呈正、负效应,农村与城镇人口结构变化、退耕还林和流域生态治理等政策的实施则促进了ESV增加。

     

  • 图  1  1990—2018年赤水河流域土地利用类型

    Figure  1.  Spatial distribution of land use types in Chishui River Basin from 1990 to 2018

    图  2  赤水河流域ESV密度空间分布

    注:ESV密度为每个网格单元(3 km×3 km)的ESV。

    Figure  2.  Spatial distribution pattern of ESV density of Chishui River Basin

    表  1  赤水河流域各土地利用类型单位面积生态价值当量

    Table  1.   Ecosystem service equivalent value in per unit area of different land use types in Chishui River Basin

    生态服务功能草地耕地林地水域未利用地
    供给服务食物生产0.3310.8500.2700.6960.000
    原料生产0.4870.2810.6180.2000.000
    水资源供给0.270−0.5590.3227.2120.000
    调节服务气体调节1.7140.6792.0450.6700.017
    气候调节4.5330.3596.1161.9920.000
    净化环境1.4960.1021.7314.8290.087
    水文调节3.3230.7683.05488.9490.026
    支持服务土壤保持2.0880.6742.4880.8090.017
    维持养分循环0.1570.1200.1910.0610.000
    生物多样性1.8970.1312.2622.2190.017
    文化服务美学景观0.8350.0590.9921.6440.009
    下载: 导出CSV

    表  2  赤水河流域不同土地利用类型ESV系数

    Table  2.   Value coefficients of different ecosystem services in Chishui River Basin 元/hm2 

    生态服务功能草地耕地林地水域未利用地
    供给服务食物生产493.351 269.08402.471 038.630.00
    原料生产727.04418.70921.79298.610.00
    水资源供给402.47−834.15480.3710 762.840.00
    调节服务气体调节2 557.641 012.673 050.99999.6925.97
    气候调节6 764.10535.559 126.992 973.090.00
    净化环境2 233.06152.552 583.607 205.52129.83
    水文调节4 959.481 145.744 557.01132 737.4038.95
    支持服务土壤保持3 115.901 006.183713.121 207.4125.97
    维持养分循环233.69178.52285.6290.880.00
    生物多样性2 830.28194.743 375.563 310.6525.97
    文化服务美学景观1 246.3687.631 480.052 453.7712.98
    总计25 563.375 167.2129 977.57163 078.49259.67
    下载: 导出CSV

    表  3  赤水河流域 1990—1999年土地利用类型转移矩阵

    Table  3.   Transition matrix of the land use types in Chishui River Basin from 1990 to 1999

    项目1999年/km²K1990—1999/%
    草地耕地建设用地林地水域未利用地总计
    1990年草地1 431.810.980.009.200.300.001 442.290.60
    耕地0.256 954.372.021.740.020.006 958.400.03
    建设用地0.000.0225.320.000.000.0025.340.92
    林地88.3418.900.0310 972.030.220.0011 079.52−0.10
    水域0.000.020.010.0142.490.0042.530.13
    未利用地0.010.020.060.000.016.937.03−0.16
    总计1 520.416 974.3127.4410 982.9843.046.9319 555.11
    下载: 导出CSV

    表  4  赤水河流域1999—2010年土地利用类型转移矩阵

    Table  4.   Transition matrix of the land use types in Chishui River basin from 1999 to 2010

    项目2010年/km²K1999—2010/%
    草地耕地建设用地林地水域未利用地总计
    1999年草地1 375.0431.785.47107.560.520.041 520.41−0.48
    耕地41.886 733.3040.18158.080.790.086 974.31−0.16
    建设用地0.020.7726.240.360.050.0027.4417.19
    林地23.8283.857.4010 866.841.050.0210 982.980.12
    水域0.070.830.040.4341.570.1043.040.20
    未利用地0.050.290.000.020.006.576.93−0.16
    总计1 440.886 850.8279.3311 133.2943.986.8119 555.11
    下载: 导出CSV

    表  5  赤水河流域2010—2018年土地利用类型转移矩阵

    Table  5.   Transition matrix of the land use types in Chishui River Basin from 2010 to 2018

    项目2018年/km²K2010—2018/%
    草地耕地建设用地林地水域未利用地总计
    2010年草地1249.08102.207.3481.001.130.131 440.88−0.03
    耕地101.236156.7249.95532.939.660.336 850.82−0.08
    建设用地2.158.5365.372.750.530.0079.3310.51
    林地84.73532.1823.0910 485.657.330.3111 133.29−0.03
    水域0.366.300.312.1434.810.0643.982.71
    未利用地0.130.330.000.160.046.156.810.31
    总计1 437.686 806.26146.0611 104.6353.506.9819 555.11 
    下载: 导出CSV

    表  6  1990—2018 年赤水河流域各土地利用类型的ESV

    Table  6.   ESV of various land use types in Chishui River Basin from 1990 to 2018

    土地利
    用类型
    1990年1999年2010年2018年
    ESV/
    亿元
    占比/
    %
    ESV/
    亿元
    占比/
    %
    ESV/
    亿元
    占比/
    %
    ESV/
    亿元
    占比/
    %
    草地36.878.9538.879.4536.838.9136.758.89
    耕地35.958.7336.048.7635.418.5735.178.50
    林地332.1480.64329.2480.08333.7580.78332.8980.50
    水域6.941.687.021.717.171.748.732.11
    未利
    用地
    0.000.000.000.000.000.000.000.00
    总计411.90100.00411.17100.00413.16100.00413.54100.00
    下载: 导出CSV

    表  7  1990—2018 年赤水河流域单项ESV

    Table  7.   Value of individual ESV in Chishui River Basin from 1990 to 2018

    一级类型二级类型ESV/亿元1990—2018年
    1990年1999年2010年2018年ESV变化量/亿元ESV变化率/%
    供给服务食物生产14.0514.0713.9313.87−0.17−0.62
    原料生产14.1914.1614.1914.15−0.04−0.15
    水资源供给0.560.530.690.820.260.91
    小计28.8028.7628.8128.830.050.14
    调节服务气体调节44.5844.5044.6344.50−0.08−0.28
    气候调节114.73114.39115.16114.880.150.53
    净化环境33.2133.1533.3433.330.110.39
    水文调节71.2671.2971.5772.631.374.90
    小计263.78263.33264.70265.341.555.54
    支持服务土壤保持52.6952.5952.7852.63−0.06−0.22
    维持养分循环4.754.744.744.73−0.02−0.07
    生物多样性42.9842.8843.1443.060.080.28
    小计100.42100.21100.66100.420.00−0.01
    文化服务美学景观18.9118.8718.9818.960.050.16
    总计411.90411.17413.16413.541.645.85
    下载: 导出CSV

    表  8  1990—2018 年赤水河流域县域ESV

    Table  8.   Spatial distribution of ESV of Chishui River Basin from 1990 to 2018

    县(市)ESV/亿元ESV年变化率/%
    1990年1999年2010年2018年1990—1999年1999—2010年2010—2018年1990—2018年
    镇雄县28.0828.1027.9227.890.20−1.80−0.38−0.68
    威信县15.3615.3915.2915.270.30−1.00−0.25−0.32
    毕节市26.9626.9626.8426.820.00−1.20−0.25−0.50
    大方县15.3715.3615.4515.46−0.100.900.130.32
    金沙县12.2512.2412.2812.28−0.100.400.000.11
    仁怀市34.7834.7635.0035.25−0.202.403.131.68
    遵义市20.6020.6020.7120.700.001.10−0.130.36
    桐梓县29.0228.8828.9529.69−1.400.709.252.39
    习水县67.3867.3468.0467.86−0.407.00−2.251.71
    赤水县49.8449.3149.7349.55−5.304.20−2.25−1.04
    古蔺县73.5673.5474.1774.08−0.206.30−1.131.86
    叙永县21.6021.5821.6221.61−0.200.40−0.130.04
    合江县17.1217.1017.1517.10−0.200.50−0.62−0.07
    下载: 导出CSV

    表  9  1990—2018年赤水河流域各地类生态贡献率

    Table  9.   Ecological contribution rate of different land uses in Chishui River Basin from 1990 to 2018 % 

    年份区间草地耕地林地水域未利用地
    1990—199939.491.6357.241.64<0.01
    1999—201027.748.7061.472.09<0.01
    2010—20183.008.4631.5457.00<0.01
    1990—20183.4222.8221.8451.92<0.01
    下载: 导出CSV
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