Impacts of Climate Change and Anthropogenic Activities on Vegetation Dynamics Considering Time Lag and Accumulation Effects: A Case Study in the Three Rivers Source Region, China

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2348 - 2348

Published: March 7, 2025

Examining the effects of climate change (CC) and anthropogenic activities (AAs) on vegetation dynamics is essential for ecosystem management. However, time lag accumulation plant growth are often overlooked, resulting in an underestimation CC impacts. Combined with kernel normalized difference index (kNDVI), data during growing season from 2000 to 2023 Three Rivers Source Region (TRSR) trend correlation analyses were employed assess kNDVI dynamics. Furthermore, effect upgraded residual analysis applied explore how climatic human drivers jointly influence vegetation. The results show following: (1) showed a fluctuating but overall increasing trend, indicating improvement growth. Although future likely continue improving, certain areas—such as east western Yangtze River basin, south Yellow parts Lancang basin—will remain at risk deterioration. (2) Overall, both precipitation temperature positively correlated kNDVI, acting dominant factor affecting predominant temporal 0-month 1-month accumulation, while primarily 2–3-month 0–1-month accumulation. main category (PA_TL), which accounted 70.93% TRSR. (3) Together, AA drove dynamics, contributions 35.73% 64.27%, respectively, that played role. incorporating combined enhanced explanatory ability factors

Language: Английский

Analysis of Vegetation Changes and Driving Factors on the Qinghai-Tibet Plateau from 2000 to 2022

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2188 - 2188

Published: Dec. 12, 2024

This study assesses the impact of climate change and human activities on vegetation dynamics (kNDVI) Qinghai-Tibet Plateau (QTP) between 2000 2022, considering both lag cumulative effects. Given QTP’s high sensitivity to activities, it is imperative understand their effects for sustainable development regional national terrestrial ecosystems. Using MOD13Q1 NDVI activity data, we applied methods such as Sen-MK, effect analysis, improved residual geographical detector analysis. The outcomes were follows. (1) kNDVI QTP showed an overall fluctuating growth trend 2022; regions more significant than degraded regions, with primarily distributed in humid semi-humid areas favorable conditions, arid semi-arid areas; this implies that conditions have a changes QTP. (2) analysis revealed temperature precipitation substantial 0 months 1 month temperature, 2 precipitation, respectively. (3) Improved based positively contributed 66% QTP, suggesting notable positive activities. Geographical indicated that, among different factors affecting changes, explanatory power 2005 2015 ranked X3 (livestock density) > X1 (population X2 (per capita GDP) X4 (artificial afforestation X5 (land use type), 2020, X2. density land type has relatively increased, indicating recent efforts ecological protection restoration including developing artificial forest programs, considerably greening.

Language: Английский