Net Forest Carbon Loss Induced by Forest Cover Change and Compound Drought and Heat Events in Two Regions of China

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 2048 - 2048

Published: Nov. 20, 2024

Compound drought and heat events (CDHEs) forest cover change influence regional carbon dynamics. Changes in vegetation biomass soil storage induced by often exhibit considerable uncertainty, previous research on the impacts of CDHEs dynamics is limited. To accurately quantify specific effects different regions, we employed a combined algorithm Carnegie–Ames–Stanford Approach (CASA) bookkeeping empirical models to examine impact changes during 2000–2022 Nanjing Shaoguan, Southern China. Using Geographical Detector model, then analyzed Next, used photosynthesis equation optimal response time forests (heat) calculate sequestration caused both regions 2000–2022. The results indicated that afforestation deforestation led +0.269 TgC +1.509 0.491 2.802 emissions respectively. overall were manifested as net loss. In Nanjing, loss (0.186 TgC) was lower than due (0.222 TgC). (3.219 much more significant (1.293 This study demonstrated are dominated factors which provides scientific basis for local governments formulate targeted management policies.

Language: Английский

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Climatic Challenges in the Growth Cycle of Winter Wheat in the Huang-Huai-Hai Plain: New Perspectives on High-Temperature–Drought and Low-Temperature–Drought Compound Events

Atmosphere, Journal Year: 2024, Volume and Issue: 15(7), P. 747 - 747

Published: June 22, 2024

Global climate change increasingly impacts agroecosystems, particularly through high-temperature–drought and low-temperature–drought compound events. This study uses ground meteorological remote sensing data employs geostatistics, random forest models, copula methods to analyze the spatial temporal distribution of these events their impact on winter wheat in Huang-Huai-Hai Plain from 1982 2020. High-temperature–drought increased frequency expanded north south, with about 40% observation stations recording such 2001 In contrast, decreased frequency, affecting up 80% stations, but lower than Sensitivity analyses show is most responsive maximum minimum temperature changes, significant correlations drought extremes. Copula analysis indicates extremes severity are crucial determining event probability return periods. likely under high temperatures mild drought, while more common low drought. These findings highlight need for effective agricultural adaptation strategies mitigate future impacts.

Language: Английский

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Distinctive water bodies surrounding lakes: An effective indicator for drought monitoring and assessment

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132179 - 132179

Published: Oct. 1, 2024

Language: Английский

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Dissimilatory nitrate reduction pathways drive high nitrous oxide emissions and ammonia retention under the flash drought in the largest freshwater lake in China

Water Research, Journal Year: 2024, Volume and Issue: 274, P. 123075 - 123075

Published: Dec. 30, 2024

Language: Английский

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