Mechanisms for carbon stock driving and scenario modeling in typical mountainous watersheds of northeastern China DOI Creative Commons
Zhang Jin,

wenguang zhang,

Xinyan Zhang

и другие.

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Дек. 12, 2023

Abstract Watershed ecosystems play a pivotal role in maintaining the global carbon cycle and reducing warming by serving as vital reservoirs for sustainable ecosystem management. In this study, we based on "quantity-mechanism-scenario" frameworks to evaluate stocks mid high latitudes alpine watersheds China explored mechanisms of climate change land use influence ability watershed store carbon. The results showed that stock increased about 15.9 Tg from 1980 2020. Vegetation, precipitation, land-use change, economic production have strongest explanatory power stocks. Under different scenarios, it was found SSP2-4.5 scenario had significant rise 2020 2050, roughly 24.1 Tg. This increase primarily observed southeastern region basin, with forest grassland effectively protected. Conversely, according SSP5-8.5 scenario, would decrease 50.53 expansion cultivated construction basin's southwest part. Therefore, given vulnerability mountain watersheds, trends continue pose greater threat sequestration watersheds. Our findings carry important implications tackling potential ecological threats Northern Hemisphere assisting policymakers creating plans, well change.

Язык: Английский

Influencing factors and the establishment of a basin ecological compensation mechanism from the perspective of water conservation: A case study of the upper Yangtze River in China DOI
Dongjie Guan, Chen Shi, Yuxiang Zhang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 456, С. 142332 - 142332

Опубликована: Апрель 27, 2024

Язык: Английский

Процитировано

11

Evolution and driver analysis of forest carbon stocks in karst mountainous areas of southwest China in the context of rocky desertification management DOI
Dan Luo, Zhongfa Zhou, Lu Zhang

и другие.

CATENA, Год журнала: 2024, Номер 246, С. 108335 - 108335

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

10

Spatiotemporal dynamics of urban sprawl in China from 2000 to 2020 DOI Creative Commons
Yiming Hou, Qingxu Huang, Qiang Ren

и другие.

GIScience & Remote Sensing, Год журнала: 2024, Номер 61(1)

Опубликована: Май 10, 2024

Accurately and timely quantifying the dynamics of urban sprawl is essential for improving land use efficiency planning. However, existing research mainly focused on a single city or agglomerations in China, while national scale studies used short-term remote sensing data to quantify sprawl. Therefore, we still lack long term most up-to-date understanding especially different regions, cities sizes. Here, quantified spatiotemporal using index (USI) based latest population census, analyzed its driving force China during 2000 ~ 2020 optimal parameters-based geographical detector. The results showed that past two decades, Chinese were experiencing sprawl, with an average USI 3.04, indicating annual growth rate lands was 3.04% higher than population. Overall, slowdown, dropping from 3.55 2010 2.53 2020. Among more severe western region, where 5.33 89.3% exceeded speed. Recently, transportation substantially increased. In future, Territorial Spatial Planning should pay attention confining excessive small- medium-sized region China.

Язык: Английский

Процитировано

7

Towards ecological security: Two-thirds of China’s ecoregions experienced a decline in habitat quality from 1992 to 2020 DOI Creative Commons
Qiang Xue, Yang Zhang,

Qingmin Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113275 - 113275

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

How is carbon storage in plateau–plain transition zone influenced? Evidence from Minjiang River Basin, China DOI
Menglin Qin,

Xinyu Wu,

Yijia Zhou

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144766 - 144766

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Carbon Storages and Densities of Different Ecosystems in Changzhou City, China: Subtropical Forests, Urban Green Spaces, and Wetlands DOI Open Access
Wenbin Deng, Xinyu Liu, Haibo Hu

и другие.

Forests, Год журнала: 2024, Номер 15(2), С. 303 - 303

Опубликована: Фев. 5, 2024

Climate change mitigation and carbon neutrality are current hot topics. Forests, urban green spaces, wetland ecosystems recognized as important sinks. The Yangtze River Delta region in Eastern China, which plays a pivotal role China’s economic social development, is rich such carbon-sink resources. There is, however, lack of regional data. investigation storage densities forest, space, therefore, great importance. In this study, the forest resource management map (including wetland) space system planning Changzhou city, combined with field laboratory experimental analysis, were used to estimate storages city. average density 83.34 ± 4.91 Mg C ha−1 11.30 0.67 Tg C, respectively, soil accounted for 74%, plants 25%, litter less than 1%. ecosystem contributed most pool (72%), each accounting 14% pools. Clearly, city have large capacity. This study significance it provides data on sink functions at provincial national scales.

Язык: Английский

Процитировано

3

Response of carbon storage to land use change and multi-scenario predictions in Zunyi, China DOI Creative Commons
Yi Liu,

Xuemeng Mei,

Yue Li

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

0

Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China DOI Creative Commons
Heng Zhou,

Mingdong Tang,

Jun Huang

и другие.

Frontiers in Environmental Science, Год журнала: 2025, Номер 13

Опубликована: Фев. 20, 2025

Introduction Karst regions are integral to the global carbon cycle. However, land use changes of karst driven by urbanization and desertification contribute instability storage, leading uncertainties in future. Understanding these instabilities is crucial for formulating sequestration management strategies. Methods This study employed Patch-generating Land Use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimate introduced Coefficient Variation (CV) assess uncertainty. Multiscale Geographically Weighted Regression (MGWR) was applied explore mechanisms, while Polynomial (PR) identified stable intervals factors, informing land-use policies. Results Discussion (1) From 2000 2020, Guiyang’s storage rose from 136.62 Tg 142.13 Tg. By 2035, projections under natural development, urban expansion, ecological protection scenarios increases 147.50 Tg, 147.40 147.82 respectively. (2) Carbon increased uncertainty expected decrease 2035. Instability primarily due transitions Cropland-Forest, Forest-Cropland, Cropland-Grassland, Cropland-Impervious, mainly arise Grassland-Impervious transitions. (3) DEM, AI, Distance national highways, SHDI, Mean annual precipitation affected significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland Cropland-Forest conversions, controlling Forest-Shrub, Cropland-Impervious conversions within can enhance reduce establishes a methodology evaluating regions, which an extension research.

Язык: Английский

Процитировано

0

Exploration of the multi-scenario spatiotemporal evolution, trade-off and synergy relationships, and driving factors of ecosystem services in Henan Province, China, under the background of land use change DOI Creative Commons
Yunwei Sun, Qi Ma, Weiye Wang

и другие.

Frontiers in Ecology and Evolution, Год журнала: 2025, Номер 13

Опубликована: Апрель 7, 2025

Introduction Ecosystem services (ESs) assessment plays a significant role in managing ecological resources. From the perspective of land use, this research aims to uncover complex interdependence between ESs and their key drivers clarify optimize function zoning region. Methods This focuses on Henan Province China, quantifying five ESs, namely, carbon storage (CS), habitat quality (HQ), soil conservation (SC), water (WC), yield (WY), assessing interactions from 2000 2020 2035. Moreover, study explores social - driving factors influencing these ESs. Finally, it classifies types ecosystem service bundles (ESBs). Results (1) 2020, use evolution was characterized by large expansion construction land, continuous decrease cultivated area, relatively stable changes other types. In protection (EP) scenario 2035, area decreased most, forest increased slightly. CS HQ showed trend degradation, while SC, WY, WC first fluctuated then increased. (2) The synergistic relationship each main one, among which WC-WY, CS-HQ HQ-SC relationships, CS-WC HQ-WC change trade-off relationship, were mainly relationships. Meanwhile, most B4 central part region dominated, rest volatility. (3) Elevation slope are dominant restricting spatiotemporal distribution CS, HQ, SC. Temperature precipitation primary conditions affecting differentiation WY WC. interaction topographic climatic has greater impact than single factor. Discussion conclusion, during period there spatio-temporal heterogeneity various functions Province. Approaches such as exploring relationships different ecosystems classifying clusters, discussing potential can provide references for territorial space governance environment

Язык: Английский

Процитировано

0

Spatiotemporal evolution and influencing factors of carbon stock in the water receiving areas from the perspective of carbon neutrality DOI Creative Commons
Zhuoyue Peng,

Meng-Ting Li,

Yaming Liu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 15, 2025

Water resources of water transfer projects are not only used to solve the scarcity problem in water-receiving area but also change regional carbon absorption capacity. Using Jiangsu-Shandong section East Route South-to-North Diversion Project (ER-SNWDP) China as a case study, this study explored dynamic variation stocks response diversion project context neutrality. The results showed that (1) After ER-SNWDP came into operation, there was trend growth area. Based on multi-scenario simulation, under scenario, built-up land expansion would be curbed, forest and grassland reductions alleviated, areas increase significantly compared natural scenario. (2) Due implementation project, research had better sequestration Under scenario from 2015 2025, stock decrease by 1228.35 × 104 t. However, an 262.84 In addition, resource allocation may affect spatial distribution stocks. northeast region, particularly Binzhou Dongying with large volumes, significant, center gravity tended tilt these areas. (3) Land use highest explanatory power driving force for According interaction factor analysis, strongest after 2005 "land ∩ nighttime lights", indicating between socio-economic factors gradually amplified impact This provides scientific basis future planning, promotes rational optimal resources, prospective reference cope climate achieve

Язык: Английский

Процитировано

0