Journal of Desert Research ›› 2026, Vol. 46 ›› Issue (2): 277-287.DOI: 10.7522/j.issn.1000-694X.2025.00202
Di An(
), Bo Zhang(
), Xueying Zhang, Zhexi Wu
Received:2025-11-04
Revised:2025-12-25
Online:2026-03-20
Published:2026-04-13
Contact:
Bo Zhang
CLC Number:
Di An, Bo Zhang, Xueying Zhang, Zhexi Wu. Implications of intensive ecological intervention for vegetation productivity in arid and semi-arid areas of China[J]. Journal of Desert Research, 2026, 46(2): 277-287.
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URL: http://www.desert.ac.cn/EN/10.7522/j.issn.1000-694X.2025.00202
| 数据名称 | 数据集名称 | 空间分辨率/m | 下载网址 |
|---|---|---|---|
| 土地利用 | MCD12Q1.061 | 1 000 | https://earthengine.geogle.com |
| NDVI | MOD13A1 | 500 | |
| GPP | MOD17A2H | 500 | |
| NPP | MOD17A2H | 500 | |
| 气温 | 中国1 km分辨率逐月气温数据集 | 1 000 | https://data.tpdc.ac.cn |
| 降水量 | 中国1 km分辨率逐月降水量数据集 | 1 000 | |
| 生态工程边界 | 中国重大生态工程生态效益评估数据集 | https://www.nesdc.org.cn |
Table 1 Data and source
| 数据名称 | 数据集名称 | 空间分辨率/m | 下载网址 |
|---|---|---|---|
| 土地利用 | MCD12Q1.061 | 1 000 | https://earthengine.geogle.com |
| NDVI | MOD13A1 | 500 | |
| GPP | MOD17A2H | 500 | |
| NPP | MOD17A2H | 500 | |
| 气温 | 中国1 km分辨率逐月气温数据集 | 1 000 | https://data.tpdc.ac.cn |
| 降水量 | 中国1 km分辨率逐月降水量数据集 | 1 000 | |
| 生态工程边界 | 中国重大生态工程生态效益评估数据集 | https://www.nesdc.org.cn |
| 驱动因素 | 驱动因素的划分标准 | 驱动因素的贡献率/% | |||
|---|---|---|---|---|---|
| 气候因素 | 非气候因素 | ||||
| >0 | CC&NC | >0 | >0 | ||
| CC | >0 | <0 | 100 | 0 | |
| NC | <0 | >0 | 0 | 100 | |
| <0 | CC&NC | <0 | <0 | ||
| CC | <0 | >0 | 100 | 0 | |
| NC | >0 | <0 | 0 | 100 | |
Table 2 Criteria for classifying drivers of vegetation productivity change and calculation methods for contribution rates
| 驱动因素 | 驱动因素的划分标准 | 驱动因素的贡献率/% | |||
|---|---|---|---|---|---|
| 气候因素 | 非气候因素 | ||||
| >0 | CC&NC | >0 | >0 | ||
| CC | >0 | <0 | 100 | 0 | |
| NC | <0 | >0 | 0 | 100 | |
| <0 | CC&NC | <0 | <0 | ||
| CC | <0 | >0 | 100 | 0 | |
| NC | >0 | <0 | 0 | 100 | |
Fig.2 Interannual trends of vegetation productivity in the study area as a whole (A) and regions with ecological projects overlaps ranging from 1 to 5 (B-F)
Fig.3 Spatial distribution of vegetation productivity in the study area as a whole (A-D), and spatial distribution of vegetation productivity in ecological project overlapping areas (E-H)
Fig.5 Spatial distribution of hydrothermal combination types in the study area as a whole (A), and area proportion of different hydrothermal combination types within each ecological project overlapping areas (B)
| 生态工程重叠区 | 主导水热组合类型 | 主导气候因子 | 植被生产力空间变化主导趋势 |
|---|---|---|---|
| 1 | 暖干型(62%) | 气温(57.72%) | 不显著增长 |
| 2 | 暖湿型(50%) | 气温(75.28%) | 显著增长 |
| 3 | 暖湿型(51%) | 降水量(83.16%) | 显著增长 |
| 4 | 暖湿型(46%) | 降水量(79.01%) | 显著增长 |
| 5 | 暖湿型(69%) | 降水量(68.80%) | 显著增长 |
Table 3 Dominant hydrothermal types, climatic factors, and vegetation productivity responses in ecological project overlapping areas
| 生态工程重叠区 | 主导水热组合类型 | 主导气候因子 | 植被生产力空间变化主导趋势 |
|---|---|---|---|
| 1 | 暖干型(62%) | 气温(57.72%) | 不显著增长 |
| 2 | 暖湿型(50%) | 气温(75.28%) | 显著增长 |
| 3 | 暖湿型(51%) | 降水量(83.16%) | 显著增长 |
| 4 | 暖湿型(46%) | 降水量(79.01%) | 显著增长 |
| 5 | 暖湿型(69%) | 降水量(68.80%) | 显著增长 |
Fig.8 Relative contributions of climatic and non-climatic factors to vegetation productivity changes in ecological project overlapping areas. Numbers 1-5 represent areas with 1-5 overlapping ecological projects
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