Estimating the Effects of Climate and Human Activities on Vegetation Coverage in Diverse Ecosystems: A Case Study of the Gansu Section of the Yellow River Basin.
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| Title: | Estimating the Effects of Climate and Human Activities on Vegetation Coverage in Diverse Ecosystems: A Case Study of the Gansu Section of the Yellow River Basin. |
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| Authors: | Sun, Xuwei1,2 (AUTHOR) sunxw2023@lzu.edu.cn, Zhang, Xuxin2 (AUTHOR), Zhang, Yun1 (AUTHOR), Wang, Bo1,2 (AUTHOR) |
| Source: | Remote Sensing. Sep2026, Vol. 18 Issue 17, p2978. 23p. |
| Subjects: | Normalized difference vegetation index, Agricultural technology, Restoration ecology, Ecosystems, Vegetation dynamics, Vegetation patterns, Plant diversity |
| Geographic Terms: | Gansu Sheng (China), Yellow River (China) |
| Abstract: | Highlights: What are the main findings? NDVI of the Gansu Section of the YRB showed improvement trends in total and diverse-ecosystem scales, except for impervious surfaces and barren lands. Human activities have a greater impact on the NDVI of the Gansu Section of the YRB than climate factors, demonstrating a positive impact of ecological projects and agricultural technologies on vegetation restoration. What are the implications of the main findings? Although climatic impacts on vegetation are relatively small in the Gansu Section of the YRB, apart from extreme weather conditions (e.g., reductions in temperature and precipitation), the impacts on ecosystems should also be tracked and predicted. Human activities, such as ecological projects and agricultural technologies, have led to a rapid increase in vegetation coverage over the past two decades; however, they have induced homogeneity in vegetation types. More diverse restoration strategies must be considered. The Gansu section of the Yellow River Basin (YRB), as an ecologically fragile zone in the upstream YRB, requires a clear understanding of vegetation changes to support effective regional ecological management. However, knowledge of the combined and individual effects of climate and human activities on vegetation coverage in diverse ecosystems remains limited. This study examined the spatiotemporal patterns and underlying driving mechanisms of vegetation growth across diverse ecosystems using the Normalized Difference Vegetation Index (NDVI) from 2000 to 2022. Vegetation growth improved significantly (e.g., an NDVI growth rate of 0.0068 per year), with the proportion of improved areas reaching 91.05% in croplands, 75.06% in forests, and 64.42% in grasslands, while degradation was concentrated on impervious surfaces and barren lands. Human activities were the primary drivers of vegetation restoration, especially with a high contribution in croplands (73.32%), forests (80.12%), and grasslands (67.11%), whereas climate change had a significant impact on wetland improvement (52.03%) and shrubland degradation (61.95%). Among climatic factors, precipitation showed strong positive correlations with NDVI (especially for croplands, grasslands, and wetlands). Conversely, air temperature showed ecosystem-specific impacts, correlating negatively with barren lands but positively with wetlands, shrublands, and croplands. Future NDVI trends exhibited pronounced anti-persistence (e.g., an area of 55.97%), indicating a high risk of vegetation degradation. This study also elucidates the driving effects of ecological projects and agricultural technologies on vegetation recovery, providing a scientific basis for optimizing ecological restoration strategies in the YRB. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 197043828 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimating the Effects of Climate and Human Activities on Vegetation Coverage in Diverse Ecosystems: A Case Study of the Gansu Section of the Yellow River Basin. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sun%2C+Xuwei%22">Sun, Xuwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sunxw2023@lzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xuxin%22">Zhang, Xuxin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yun%22">Zhang, Yun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Bo%22">Wang, Bo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Sep2026, Vol. 18 Issue 17, p2978. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Normalized+difference+vegetation+index%22">Normalized difference vegetation index</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+technology%22">Agricultural technology</searchLink><br /><searchLink fieldCode="DE" term="%22Restoration+ecology%22">Restoration ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+dynamics%22">Vegetation dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Vegetation+patterns%22">Vegetation patterns</searchLink><br /><searchLink fieldCode="DE" term="%22Plant+diversity%22">Plant diversity</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Gansu+Sheng+%28China%29%22">Gansu Sheng (China)</searchLink><br /><searchLink fieldCode="DE" term="%22Yellow+River+%28China%29%22">Yellow River (China)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: What are the main findings? NDVI of the Gansu Section of the YRB showed improvement trends in total and diverse-ecosystem scales, except for impervious surfaces and barren lands. Human activities have a greater impact on the NDVI of the Gansu Section of the YRB than climate factors, demonstrating a positive impact of ecological projects and agricultural technologies on vegetation restoration. What are the implications of the main findings? Although climatic impacts on vegetation are relatively small in the Gansu Section of the YRB, apart from extreme weather conditions (e.g., reductions in temperature and precipitation), the impacts on ecosystems should also be tracked and predicted. Human activities, such as ecological projects and agricultural technologies, have led to a rapid increase in vegetation coverage over the past two decades; however, they have induced homogeneity in vegetation types. More diverse restoration strategies must be considered. The Gansu section of the Yellow River Basin (YRB), as an ecologically fragile zone in the upstream YRB, requires a clear understanding of vegetation changes to support effective regional ecological management. However, knowledge of the combined and individual effects of climate and human activities on vegetation coverage in diverse ecosystems remains limited. This study examined the spatiotemporal patterns and underlying driving mechanisms of vegetation growth across diverse ecosystems using the Normalized Difference Vegetation Index (NDVI) from 2000 to 2022. Vegetation growth improved significantly (e.g., an NDVI growth rate of 0.0068 per year), with the proportion of improved areas reaching 91.05% in croplands, 75.06% in forests, and 64.42% in grasslands, while degradation was concentrated on impervious surfaces and barren lands. Human activities were the primary drivers of vegetation restoration, especially with a high contribution in croplands (73.32%), forests (80.12%), and grasslands (67.11%), whereas climate change had a significant impact on wetland improvement (52.03%) and shrubland degradation (61.95%). Among climatic factors, precipitation showed strong positive correlations with NDVI (especially for croplands, grasslands, and wetlands). Conversely, air temperature showed ecosystem-specific impacts, correlating negatively with barren lands but positively with wetlands, shrublands, and croplands. Future NDVI trends exhibited pronounced anti-persistence (e.g., an area of 55.97%), indicating a high risk of vegetation degradation. This study also elucidates the driving effects of ecological projects and agricultural technologies on vegetation recovery, providing a scientific basis for optimizing ecological restoration strategies in the YRB. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs18172978 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 2978 Subjects: – SubjectFull: Normalized difference vegetation index Type: general – SubjectFull: Agricultural technology Type: general – SubjectFull: Restoration ecology Type: general – SubjectFull: Ecosystems Type: general – SubjectFull: Vegetation dynamics Type: general – SubjectFull: Vegetation patterns Type: general – SubjectFull: Plant diversity Type: general – SubjectFull: Gansu Sheng (China) Type: general – SubjectFull: Yellow River (China) Type: general Titles: – TitleFull: Estimating the Effects of Climate and Human Activities on Vegetation Coverage in Diverse Ecosystems: A Case Study of the Gansu Section of the Yellow River Basin. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun, Xuwei – PersonEntity: Name: NameFull: Zhang, Xuxin – PersonEntity: Name: NameFull: Zhang, Yun – PersonEntity: Name: NameFull: Wang, Bo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 18 – Type: issue Value: 17 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
