Long-Term Carbon Sequestration and Climatic Responses of Plantation Forests Across Jiangsu Province, China DOI Open Access

Yuxue Cui,

Miaomiao Wu,

Zhongyi Lin

и другие.

Forests, Год журнала: 2025, Номер 16(5), С. 756 - 756

Опубликована: Апрель 28, 2025

Plantation forests (PFs) play a crucial role in China’s climate change mitigation strategy due to their significant capacity sequestrate carbon (C). Understanding the long-term trend PFs’ C uptake and key drivers influencing it is for optimizing PF management planning mitigation. In this study, we quantified (1981–2019) sequestration of PFs Jiangsu Province, where have expanded considerably recent decades, particularly since 2015. Seasonal interannual variations gross primary productivity (GPP), net (NPP), ecosystem (NEP) were assessed using boreal simulator (BEPS), process-based terrestrial biogeochemical model. The model integrates multiple sources remote-sensing datasets, such as leaf area index land cover data, simulate critical processes governing surface dynamics, enabling quantification vegetation soil stocks nutrient cycling patterns. results indicated increasing GPP, NPP, NEP over past four suggesting enhanced by across study region. variability these indicators was associated with that nitrogen (N) deposition years, implying availability could be limiting factor plantation productivity. GPP NPP exhibited peak values spring (April May) or late summer (August September), increases growing season years. contrast, peaked but declined negative early (July August), indicating seasonal source–sink transition. All three showed general correlation late-growing-season temperature droughts probably highly constrained existing PFs. These findings provide insights strategic implementation PFs, regions warm temperate undergoing afforestation expansion.

Язык: Английский

Carbon storage through China’s planted forest expansion DOI Creative Commons
Kai Cheng, Haitao Yang, Shengli Tao

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Май 15, 2024

Abstract China’s extensive planted forests play a crucial role in carbon storage, vital for climate change mitigation. However, the complex spatiotemporal dynamics of forest area and its storage remain uncaptured. Here we reveal such changes from 1990 to 2020 using satellite field data. Results show doubling area, trend that intensified post-2000. These lead increasing 675.6 ± 12.5 Tg C 1,873.1 16.2 2020, with an average rate ~ 40 yr −1 . The expansion contributed 53% (637.2 5.4 C) total above increased compared growth. This proactive policy-driven has catalyzed swift increase aligning Carbon Neutrality Target 2060.

Язык: Английский

Процитировано

41
Unveiling China’s natural and planted forest spatial–temporal dynamics from 1990 to 2020 DOI
Kai Cheng, Haitao Yang, Hongcan Guan

и другие.

ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 209, С. 37 - 50

Опубликована: Фев. 5, 2024

Язык: Английский

Процитировано

35
A 2020 forest age map for China with 30 m resolution DOI Creative Commons
Kai Cheng, Yu‐Ling Chen,

Tianyu Xiang

и другие.

Earth system science data, Год журнала: 2024, Номер 16(2), С. 803 - 819

Опубликована: Фев. 7, 2024

Abstract. A high-resolution, spatially explicit forest age map is essential for quantifying carbon stocks and sequestration potential. Prior attempts to estimate on a national scale in China have been limited by sparse resolution incomplete coverage of ecosystems, attributed complex species composition, extensive areas, insufficient field measurements, inadequate methods. To address these challenges, we developed framework that combines machine learning algorithms (MLAs) remote sensing time series analysis estimating the China's forests. Initially, identify develop optimal MLAs estimation across various vegetation divisions based height, climate, terrain, soil, forest-age utilizing ascertain information. Subsequently, apply LandTrendr detect disturbances from 1985 2020, with since last disturbance serving as proxy age. Ultimately, data derived are integrated result produce 2020 China. Validation against independent plots yielded an R2 ranging 0.51 0.63. On scale, average 56.1 years (standard deviation 32.7 years). The Qinghai–Tibet Plateau alpine zone possesses oldest 138.0 years, whereas warm temperate deciduous-broadleaf averages only 28.5 years. This 30 m-resolution offers crucial insights comprehensively understanding ecological benefits forests sustainably manage resources. available at https://doi.org/10.5281/zenodo.8354262 (Cheng et al., 2023a).

Язык: Английский

Процитировано

22
Planted Forests in China Have Higher Drought Risk Than Natural Forests DOI Open Access
Longlong Ma, Jun Ma, Pu Yan

и другие.

Global Change Biology, Год журнала: 2025, Номер 31(2)

Опубликована: Фев. 1, 2025

ABSTRACT To improve the environment and mitigate climate change, China has implemented ambitious projects for natural forest protection expanded planted forests. However, increased variability led to more frequent severe droughts, exacerbating decline of these The drought risk forests is rarely assessed by considering both resistance resilience, comparative analyses between are lacking. Here, we compared resilience in across using satellite observations from 2001 2020 understand which were at higher drought. results showed that exhibited lower forests, particularly subtropical broad‐leaved evergreen warm temperate deciduous Moreover, significantly increased, while decreased during 2011–2020 2001–2010, suggesting a shift strategies cope with stress. was mainly attributed canopy height poorer soil nutrients, limited resistance, characteristics (severity, duration, frequency), reduced resilience. These underscore potential exposure future impacts on under enhanced management strategies, including preservation augmentation structural diversity imperative.

Язык: Английский

Процитировано

3
Nitrogen deposition affects the productivity of planted and natural forests by modulating forest climate and community functional traits DOI
Xing Zhang,

Jianxiao Su,

Yuhui Ji

и другие.

Forest Ecology and Management, Год журнала: 2024, Номер 563, С. 121970 - 121970

Опубликована: Май 17, 2024

Язык: Английский

Процитировано

11
How many trees are there in China? DOI
Kai Cheng, Haitao Yang, Yuling Chen

и другие.

Science Bulletin, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
Two decades of persistent greening in China despite 2023 climate extremes DOI
Wei Su, Xiangyi Li, Kai Wang

и другие.

Science China Earth Sciences, Год журнала: 2025, Номер unknown

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

1
Comprehensive Assessment of Nine Fine-Resolution Global Forest Cover Products in the Three-North Shelter Forest Program Region DOI Creative Commons

C. Wang,

Xiao Zhang, Tingting Zhao

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(7), С. 1296 - 1296

Опубликована: Апрель 5, 2025

Accurate forest cover maps are essential for conservation and sustainable development. Numerous global products have emerged in recent years; however, most tend to neglect sparsely forested arid semi-arid areas, such as the Three-North Shelter Forest (TNSF) Program Region China. Despite their sparse distribution, forests these areas play a vital role maintaining ecological balance biodiversity. Therefore, comprehensive evaluation of is necessary. In this study, performance nine was systematically investigated at 10–30 m resolution (GlobeLand30, GLC_FCS30D, FROM-GLC30, FROM-GLC10, ESA World Cover, ESRI Land GFC30, GFC 2020, GFC) TNSF region around 2020. Specifically, novel validation dataset first generated by integrating all available open-access datasets after visual interpretation. Second, consistency accuracy were evaluated, discrepancies with government statistical data analyzed. The results indicate that GFC2020 provides highest overall (OA) 90.49%, followed while GlobeLand30 had lowest 84.78%. Meanwhile, compared data, underestimated especially hyper-arid zones (aridity index < 0.03). Notably, 31.04% area identified only one product, attributable differences definitions remote sensing among products. study detailed assessment analysis from multiple perspectives, offering valuable insights users selecting appropriate supporting management.

Язык: Английский

Процитировано

1
Vegetation coverage precisely extracting and driving factors analysis in drylands DOI Creative Commons
Haolin Wang, Dongwei GUI, Qi Liu

и другие.

Ecological Informatics, Год журнала: 2023, Номер 79, С. 102409 - 102409

Опубликована: Дек. 7, 2023

Fractional Vegetation Coverage (FVC) is an essential indicator that captures variations in vegetation and documents the impacts of climate change human activity for environmental assessment. However, conventional methods encounter challenges accurately extracting fine-scale FVC drylands due to distribution being very heterogeneous space with patches inter-patches. Using lower Tarim River Basin as a typical study case, we investigated three deep convolutional neural networks—Unet, Pspnet, Deeplabv3 + —to generate high-precision high-resolution (0.8 m) remote sensing images. Among these models, Unet model performed better, accuracy 93.38%, while Pspnet Deeplabv3+ was 88.14% 88.91%, respectively. Comparison derived from normalized difference index (NDVI), land use/land cover data ESRI ESA indicated map produced by more consistent on-site field observations. Delving into drivers influencing dryland FVC, found groundwater depth plays pivotal role compared topographical climatic variables. Specifically, when exceeds −3 m, probability occurring high reduced 50%. This innovatively extracted spatial heterogeneity, which better solves insufficient existing dataset, serves valuable reference monitoring change, facilitates precise quantification carbon storage.

Язык: Английский

Процитировано

20
Reforestation policies around 2000 in southern China led to forest densification and expansion in the 2010s DOI Creative Commons
Xiaowei Tong, Martin Brandt, Yuemin Yue

и другие.

Communications Earth & Environment, Год журнала: 2023, Номер 4(1)

Опубликована: Июль 18, 2023

Abstract Forest expansion has been observed in China over the past decades, but typically applied coarse resolution satellite data does not reveal spatial details about China’s forest transition. By using three decades of observations at a 30-m resolution, we here complex spatiotemporal patterns individual stands forming return history southern China. We calculate age, densification rates, and annual fragmentation show that area surge around 2010 is result trees planted after 2000 formed dense forests decade later. document old 1980s were mostly fragmented into scattered patches located on mountain tops, rapidly expanded downhill by 729,540 km 2 alleviated clear-cut logging pressure from forests. Our study provides detailed documentation for country had largely deforested ago.

Язык: Английский

Процитировано

19