Qinqin Du , Mingjun Zhang , Qingyu Guan , Yunfan Sun , Zhilan Wang
{"title":"高寒山区草地NDVI变化速度对气候速度的响应","authors":"Qinqin Du , Mingjun Zhang , Qingyu Guan , Yunfan Sun , Zhilan Wang","doi":"10.1016/j.ecolind.2025.114153","DOIUrl":null,"url":null,"abstract":"<div><div>Under climate warming, grassland vegetation in mountainous regions responds rapidly to climate change but often lags behind the rate of climatic shifts. The Qilian Mountains (QLMs), a representative alpine mountainous area, have experienced a warming rate significantly exceeding the global average. However, whether the change velocity of grassland NDVI in the QLMs matches climate velocity remains unclear, and there is an urgent need to determine if regional grasslands can adapt to the “velocity race” driven by climate change. To address this gap, this study analyzed the spatiotemporal trends of change velocities in growing-season grassland NDVI (NDVI<sub>GS</sub>), temperature, and precipitation across the QLMs using the local climate velocity method combined with a moving window technique. Results showed that from 2000 to 2024, the velocities of grassland NDVI<sub>GS</sub>, temperature, and precipitation all increased, with precipitation velocity exhibiting the fastest growth rate. Their mean values were 0.08 ± 0.08 km·a<sup>−1</sup> (NDVI<sub>GS</sub>), 0.07 ± 0.07 km·a<sup>−1</sup> (temperature), and 0.24 ± 0.26 km·a<sup>−1</sup> (precipitation), indicating that grassland NDVI<sub>GS</sub> velocity was intermediate between temperature and precipitation velocities. Spatially, 54.1 % of grassland areas displayed NDVI<sub>GS</sub> velocities exceeding temperature velocities, while 77.8 % of areas showed NDVI<sub>GS</sub> velocities lower than precipitation velocities. In conclusion, the response of grassland NDVI<sub>GS</sub> velocity to temperature and precipitation velocities exhibits regional heterogeneity. These findings provide important scientific insights for guiding grassland restoration and adaptive management in alpine mountainous regions.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114153"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Response of grassland NDVI change velocity to climate velocity in the alpine mountainous region\",\"authors\":\"Qinqin Du , Mingjun Zhang , Qingyu Guan , Yunfan Sun , Zhilan Wang\",\"doi\":\"10.1016/j.ecolind.2025.114153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Under climate warming, grassland vegetation in mountainous regions responds rapidly to climate change but often lags behind the rate of climatic shifts. The Qilian Mountains (QLMs), a representative alpine mountainous area, have experienced a warming rate significantly exceeding the global average. However, whether the change velocity of grassland NDVI in the QLMs matches climate velocity remains unclear, and there is an urgent need to determine if regional grasslands can adapt to the “velocity race” driven by climate change. To address this gap, this study analyzed the spatiotemporal trends of change velocities in growing-season grassland NDVI (NDVI<sub>GS</sub>), temperature, and precipitation across the QLMs using the local climate velocity method combined with a moving window technique. Results showed that from 2000 to 2024, the velocities of grassland NDVI<sub>GS</sub>, temperature, and precipitation all increased, with precipitation velocity exhibiting the fastest growth rate. Their mean values were 0.08 ± 0.08 km·a<sup>−1</sup> (NDVI<sub>GS</sub>), 0.07 ± 0.07 km·a<sup>−1</sup> (temperature), and 0.24 ± 0.26 km·a<sup>−1</sup> (precipitation), indicating that grassland NDVI<sub>GS</sub> velocity was intermediate between temperature and precipitation velocities. Spatially, 54.1 % of grassland areas displayed NDVI<sub>GS</sub> velocities exceeding temperature velocities, while 77.8 % of areas showed NDVI<sub>GS</sub> velocities lower than precipitation velocities. In conclusion, the response of grassland NDVI<sub>GS</sub> velocity to temperature and precipitation velocities exhibits regional heterogeneity. These findings provide important scientific insights for guiding grassland restoration and adaptive management in alpine mountainous regions.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"179 \",\"pages\":\"Article 114153\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25010854\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25010854","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Response of grassland NDVI change velocity to climate velocity in the alpine mountainous region
Under climate warming, grassland vegetation in mountainous regions responds rapidly to climate change but often lags behind the rate of climatic shifts. The Qilian Mountains (QLMs), a representative alpine mountainous area, have experienced a warming rate significantly exceeding the global average. However, whether the change velocity of grassland NDVI in the QLMs matches climate velocity remains unclear, and there is an urgent need to determine if regional grasslands can adapt to the “velocity race” driven by climate change. To address this gap, this study analyzed the spatiotemporal trends of change velocities in growing-season grassland NDVI (NDVIGS), temperature, and precipitation across the QLMs using the local climate velocity method combined with a moving window technique. Results showed that from 2000 to 2024, the velocities of grassland NDVIGS, temperature, and precipitation all increased, with precipitation velocity exhibiting the fastest growth rate. Their mean values were 0.08 ± 0.08 km·a−1 (NDVIGS), 0.07 ± 0.07 km·a−1 (temperature), and 0.24 ± 0.26 km·a−1 (precipitation), indicating that grassland NDVIGS velocity was intermediate between temperature and precipitation velocities. Spatially, 54.1 % of grassland areas displayed NDVIGS velocities exceeding temperature velocities, while 77.8 % of areas showed NDVIGS velocities lower than precipitation velocities. In conclusion, the response of grassland NDVIGS velocity to temperature and precipitation velocities exhibits regional heterogeneity. These findings provide important scientific insights for guiding grassland restoration and adaptive management in alpine mountainous regions.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.