Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index
The Three-North Ecological Project (TNEP) in China's arid and semiarid regions is a key ecological barrier. Various ecological restoration projects have been undertaken in the TNEP to significantly enhance the vegetation cover. However, amidst the global climate change, it remains unclear wheth...
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Elsevier
2025-03-01
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| Series: | Ecological Informatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954124004783 |
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| author | Leyi Zhang Xia Li Xiuhua Liu Zhiyang Lian Guozhuang Zhang Zuyu Liu Shuangxian An Yuexiao Ren Yile Li Shangdong Liu |
| author_facet | Leyi Zhang Xia Li Xiuhua Liu Zhiyang Lian Guozhuang Zhang Zuyu Liu Shuangxian An Yuexiao Ren Yile Li Shangdong Liu |
| author_sort | Leyi Zhang |
| collection | DOAJ |
| description | The Three-North Ecological Project (TNEP) in China's arid and semiarid regions is a key ecological barrier. Various ecological restoration projects have been undertaken in the TNEP to significantly enhance the vegetation cover. However, amidst the global climate change, it remains unclear whether the integrated ecological environmental quality (EEQ) of a region would improve through current or future ecological restoration projects. This study developed a remote sensing ecological index (RSEI) based on the Google Earth Engine (GEE) to characterize EEQ and revealed its trend from 2000 to 2022 in the TNEP and its sub-regions. Additionally, a SHapley Additive eXplanation (SHAP) interpretable machine learning model was employed to identify the dominant factors and thresholds influencing the EEQ in the TNEP and its sub-regions. The study further elucidated the role of land-use variations in EEQ, particularly those driven by ecological projects. The results indicated that from 2000 to 2022, the annual RSEI of the TNEP was predominantly poor or bad: it accounted for 55.4 % of the total RSEI. Notwithstanding an overall improvement (44.4 % of the total) consistent with the greenness compared with that of Northwest China (NWC), EEQ exhibited a marginal deterioration owing to the reduced wetness and increased heat and dryness. Future trends are likely to reflect those of the past 23 years, with improvement still predominant (37.5 % of the total), albeit with limited sustainability (including NWC). Precipitation (PRE) emerged as the dominant factor influencing the RSEI in the TNEP, North China (NC), and NWC (SHAP values of 0.1, 0.13, and 0.07, respectively). Meanwhile, the vapor pressure deficit (VPD) was critical for Northeast China (NEC) (SHAP value of 0.07). This study determined that the threshold for PRE to transition from inhibiting to promoting RSEI was 400 mm, whereas that for VPD to switch from promoting to inhibiting was 0.6 kPa. The land-use variations in forests, shrubs, grasslands, and croplands driven by ecological restoration and agricultural policies exerted a positive impact on RSEI. In contrast, grassland degradation and urbanization adversely affected it. These observations are important for accurately assessing the quality of ecological environments, effectively implementing ecological projects, and ensuring a sustainable regional development. Additionally, these have provided scientific references for determining whether to expand the implementation of ecological restoration measures in arid regions to enhance the ecological environment and establish a robust ecological security barrier. |
| format | Article |
| id | doaj-art-3d454d7f283f4a2397e7d496790b2b76 |
| institution | Kabale University |
| issn | 1574-9541 |
| language | English |
| publishDate | 2025-03-01 |
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| spelling | doaj-art-3d454d7f283f4a2397e7d496790b2b762025-01-19T06:24:35ZengElsevierEcological Informatics1574-95412025-03-0185102936Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological indexLeyi Zhang0Xia Li1Xiuhua Liu2Zhiyang Lian3Guozhuang Zhang4Zuyu Liu5Shuangxian An6Yuexiao Ren7Yile Li8Shangdong Liu9School of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecohydrology and Water-Security in Arid and Seim-arid Regions of Ministry of Water Resources, Chang'an University, Xi'an 710054, China; School of Land Engineering, Chang'an University, Xi'an 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an 710054, China; Corresponding author.School of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecohydrology and Water-Security in Arid and Seim-arid Regions of Ministry of Water Resources, Chang'an University, Xi'an 710054, China; Corresponding author at: School of Water and Environment, Chang'an University, Xi'an 710054, ChinaChina Siwei Surveying and Mapping Technology Co., Ltd, Beijing 100094, ChinaSchool of Land Engineering, Chang'an University, Xi'an 710054, ChinaSchool of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecohydrology and Water-Security in Arid and Seim-arid Regions of Ministry of Water Resources, Chang'an University, Xi'an 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an 710054, ChinaSchool of Land Engineering, Chang'an University, Xi'an 710054, ChinaSchool of Water and Environment, Chang'an University, Xi'an 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an 710054, China; Key Laboratory of Ecohydrology and Water-Security in Arid and Seim-arid Regions of Ministry of Water Resources, Chang'an University, Xi'an 710054, ChinaThe Three-North Ecological Project (TNEP) in China's arid and semiarid regions is a key ecological barrier. Various ecological restoration projects have been undertaken in the TNEP to significantly enhance the vegetation cover. However, amidst the global climate change, it remains unclear whether the integrated ecological environmental quality (EEQ) of a region would improve through current or future ecological restoration projects. This study developed a remote sensing ecological index (RSEI) based on the Google Earth Engine (GEE) to characterize EEQ and revealed its trend from 2000 to 2022 in the TNEP and its sub-regions. Additionally, a SHapley Additive eXplanation (SHAP) interpretable machine learning model was employed to identify the dominant factors and thresholds influencing the EEQ in the TNEP and its sub-regions. The study further elucidated the role of land-use variations in EEQ, particularly those driven by ecological projects. The results indicated that from 2000 to 2022, the annual RSEI of the TNEP was predominantly poor or bad: it accounted for 55.4 % of the total RSEI. Notwithstanding an overall improvement (44.4 % of the total) consistent with the greenness compared with that of Northwest China (NWC), EEQ exhibited a marginal deterioration owing to the reduced wetness and increased heat and dryness. Future trends are likely to reflect those of the past 23 years, with improvement still predominant (37.5 % of the total), albeit with limited sustainability (including NWC). Precipitation (PRE) emerged as the dominant factor influencing the RSEI in the TNEP, North China (NC), and NWC (SHAP values of 0.1, 0.13, and 0.07, respectively). Meanwhile, the vapor pressure deficit (VPD) was critical for Northeast China (NEC) (SHAP value of 0.07). This study determined that the threshold for PRE to transition from inhibiting to promoting RSEI was 400 mm, whereas that for VPD to switch from promoting to inhibiting was 0.6 kPa. The land-use variations in forests, shrubs, grasslands, and croplands driven by ecological restoration and agricultural policies exerted a positive impact on RSEI. In contrast, grassland degradation and urbanization adversely affected it. These observations are important for accurately assessing the quality of ecological environments, effectively implementing ecological projects, and ensuring a sustainable regional development. Additionally, these have provided scientific references for determining whether to expand the implementation of ecological restoration measures in arid regions to enhance the ecological environment and establish a robust ecological security barrier.http://www.sciencedirect.com/science/article/pii/S1574954124004783Remote sensing ecological indexGoogle earth engineShapley additive explanationsEcological restoration projectsThree-north ecological project |
| spellingShingle | Leyi Zhang Xia Li Xiuhua Liu Zhiyang Lian Guozhuang Zhang Zuyu Liu Shuangxian An Yuexiao Ren Yile Li Shangdong Liu Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index Ecological Informatics Remote sensing ecological index Google earth engine Shapley additive explanations Ecological restoration projects Three-north ecological project |
| title | Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index |
| title_full | Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index |
| title_fullStr | Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index |
| title_full_unstemmed | Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index |
| title_short | Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index |
| title_sort | dynamic monitoring and drivers of ecological environmental quality in the three north region china insights based on remote sensing ecological index |
| topic | Remote sensing ecological index Google earth engine Shapley additive explanations Ecological restoration projects Three-north ecological project |
| url | http://www.sciencedirect.com/science/article/pii/S1574954124004783 |
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