Spatial-temporal changes of land use and ecosystem service value in dry valleys： a case study of Panxi area, Sichuan Province
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摘要:
研究土地利用与生态系统服务价值（ESV）的时空演变对干旱河谷区土地利用结构优化和生态环境可持续发展具有重要意义。基于高精度土地利用遥感解译数据，运用空间统计分析和地理探测器等方法，探究2000—2020年攀西地区（典型干旱河谷）及其内部分区土地利用和ESV的时空演变及分异特征。结果表明：2000—2020年攀西地区及各内部分区林地占主导，水域和建设用地增长迅速。除南部峡谷工矿区外，攀西地区整体及其内部分区的ESV呈增长趋势；林地对攀西地区ESV的贡献率最大，但建设用地对ESV增长的阻碍作用逐步增强。ESV呈西北部和中部高、东北部和南部低的态势，损失区集中于城镇建设和森林退化区域，增值区集中于水库、水电站修建区和退耕地区，高值区逐步扩大，低值区逐渐缩小。研究期内ESV及其变化的Moran's I均大于0，具有显著空间自相关性(P<0.001)，但ESV空间聚集性缓慢减弱。人类活动对攀西地区及各内部分区ESV空间分异产生显著影响，其中人为影响指数达48.45%以上。
Abstract:Studying spatial-temporal evolution of land use and ecosystem services value (ESV) is of great significance to the optimization of land use structure and sustainable development of ecological environment in dry valleys. Based on high-precision land use remote sensing interpretation data, spatial statistical analysis and Geodetector were used to study the spatial-temporal evolution and differentiation characteristics of land use and ESV of Panxi area (typical dry valleys) and its inner regions from 2000 to 2020. The results showed that forest land was dominant in Panxi area and its internal divisions, and water area and construction land increased rapidly from 2000 to 2020. Except for the southern canyon industrial and mining area, ESV of Panxi area and its internal divisions showed an increasing trend. Contribution rate of forest land to ESV of Panxi area was the largest, but obstructive effect of construction land on ESV growth was gradually increasing. ESV generally showed high in the northwest and central and low in the northeast and south. The loss area was concentrated in the urban construction and forest degradation area, while the increasing area was concentrated in the construction of reservoirs, hydropower stations and farmland conversation area. The high-value area gradually expanded while the low-value area gradually decreased. During the study period, Moran's I of ESV and its changes were more than 0, and showed a significant spatial autocorrelation (P < 0.001), but the spatial aggregation of ESV decreased slowly. Human activities had a significant impact on the spatial differentiation of ESV in Panxi area and its internal divisions, and Human Active Index was over 48.45%.
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Key words:
- ecosystem services value /
- land use /
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spatial-temporal changes / - dry valleys
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图 2 2000—2020年攀西地区土地利用类型变化
Figure 2. Changes of different land use types in Panxi area from 2000 to 2020
图 3 2000—2020年各内部分区土地利用结构变化
Figure 3. Changes of land use structure of internal divisions from 2000 to 2020
图 4 2000—2020年各内部分区不同土地利用的ESV变化
Figure 4. ESV changes of different land use types of internal divisions from 2000 to 2020
图 5 2000—2020年各内部分区不同生态系统功能的ESV变化
Figure 5. ESV changes of different ecosystem service functions of internal divisions from 2000 to 2020
图 6 2000—2020年攀西地区ESV及其损益的空间分布
Figure 6. Spatial distribution of ESV and its profit and loss in Panxi area from 2000 to 2020
图 7 2000—2020年攀西地区ESV的LISA聚集
Figure 7. LISA aggregation of ESV in Panxi area from 2000 to 2020
图 8 2000—2020年研究区ESV空间分异驱动因子探测结果
Figure 8. Detection results of driving factors for spatial differentiation of ESV in the study area from 2000 to 2020
表 1 2000—2020年攀西地区ESV及其变化的空间自相关性
Table 1. Spatial autocorrelation of ESV and its changes in Panxi area from 2000 to 2020
年份 Moran's I Z P 2000 0.438 75.66 <0.001 2010 0.450 80.06 <0.001 2020 0.437 75.42 <0.001 2000—2010 0.311 54.48 <0.001 2010—2020 0.199 34.44 <0.001 2000—2020 0.320 56.08 <0.001 
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