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Article

Spatial and Temporal Dynamics and Climate Contribution of Forest Ecosystem Carbon Sinks in Guangxi During 2000–2023

1
Guangxi Zhuang Autonomous Region Institute of Meteorological Sciences, Nanning 530022, China
2
Ecological Meteorology and Satellite Remote Sensing Center of Guangxi Zhuang Autonomous Region, Nanning 530022, China
3
National Meteorological Center, Beijing 100081, China
4
School of Geography & Planning, Nanning Normal University, Nanning 530100, China
5
Guilin Meteorological Bureau, Guilin 541001, China
*
Authors to whom correspondence should be addressed.
Forests 2026, 17(2), 151; https://doi.org/10.3390/f17020151
Submission received: 30 November 2025 / Revised: 14 January 2026 / Accepted: 14 January 2026 / Published: 23 January 2026
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)

Abstract

To clarify the spatial–temporal evolution patterns and climate-driven mechanisms of carbon sinks of forest ecosystems under climate change, we calculated the net ecosystem productivity (NEP) of forests in the Guangxi region using remote sensing and meteorological data from 2000 to 2023. By employing trend analysis, spatial clustering, the Hurst index, and climate contribution evaluation, we analyzed the spatial and temporal changes, sustainability, and the relative contribution of climate impacts on forest carbon sinks. The results are as follows: The carbon sink capacity of forests in Guangxi increased continuously from 2000 to 2023, at a rate of 3.57 g C·m−2·a−1, reaching 39.19% higher in 2023 than in 2000. The carbon sink capacity was higher in the southwest and lower in the northeast, with hotspots mainly located in evergreen/deciduous broad-leaved forest areas. The Hurst index indicates that 84.44% of regions are likely to maintain this increasing trend, suggesting stability in forest carbon sink function. The climate contribution rate to forest carbon sinks was moderate, with significant temporal fluctuations. Temperature governed annual variation in forest carbon sinks, influencing up to 36.37% of the area. The annual average contribution rate of climate change to forest carbon sinks was 30.28%, but there were temporal fluctuations and spatial heterogeneity. Over time, climate contributions had a positive driving impact; however, extreme climate events tended to produce a negative effect. The pattern of forest carbon sinks in Guangxi showed a “heat sink-coupling” phenomenon, with 16.23% of the hotspots of forest carbon sinks coinciding with temperature control zones, highlighting the enhancing effect of temperature rise on carbon sinks against a background of water and heat synergy. This study provides a scientific basis for the assessment of forest carbon sink potential and climate suitability management in Guangxi.
Keywords: forest carbon sinks; net ecosystem productivity; climate contribution; spatial and temporal dynamics; forests in Guangxi forest carbon sinks; net ecosystem productivity; climate contribution; spatial and temporal dynamics; forests in Guangxi

Share and Cite

MDPI and ACS Style

Mo, J.; Yan, H.; Hu, B.; Chen, C.; Zhou, X.; Chen, Y. Spatial and Temporal Dynamics and Climate Contribution of Forest Ecosystem Carbon Sinks in Guangxi During 2000–2023. Forests 2026, 17, 151. https://doi.org/10.3390/f17020151

AMA Style

Mo J, Yan H, Hu B, Chen C, Zhou X, Chen Y. Spatial and Temporal Dynamics and Climate Contribution of Forest Ecosystem Carbon Sinks in Guangxi During 2000–2023. Forests. 2026; 17(2):151. https://doi.org/10.3390/f17020151

Chicago/Turabian Style

Mo, Jianfei, Hao Yan, Bei Hu, Cheng Chen, Xiyuan Zhou, and Yanli Chen. 2026. "Spatial and Temporal Dynamics and Climate Contribution of Forest Ecosystem Carbon Sinks in Guangxi During 2000–2023" Forests 17, no. 2: 151. https://doi.org/10.3390/f17020151

APA Style

Mo, J., Yan, H., Hu, B., Chen, C., Zhou, X., & Chen, Y. (2026). Spatial and Temporal Dynamics and Climate Contribution of Forest Ecosystem Carbon Sinks in Guangxi During 2000–2023. Forests, 17(2), 151. https://doi.org/10.3390/f17020151

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