Coupling process of carbon sink service flow based on metacoupling framework

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

Опубликована: Фев. 24, 2025

Carbon sink service (CSS) is crucial in addressing global warming and provides theoretical support for research on human‒system coupling. CSS generation, flow, utilization the composite ecosystem of mountains, rivers, forests, farmlands, lakes, grasslands (CEMRFFLG) sustainable development. Quantifying coupled supply‒flow‒demand processes mechanisms CEMRFFLG remains a pressing issue study carbon flows (CSSFs). First, quantify supply demand situation Chongqing. Second, coupling process CSSF among water, forest, farmland, grassland subsystems explored via breakpoint model combined with metacoupling framework. Finally, multiscenario simulation was performed to reveal its flow mechanism. The results show that: (1) Net primary productivity (NPP) mainly comes from emissions (CEs) come farmland. (2) During telecoupling, forest subsystem has highest total value outflow inflow plots, accounting 35.51% 61.24% total, respectively. (3) moves areas human activities. This paper proposes optimization suggestions essential achieving complex ecosystem's

Язык: Английский

Spatial-temporal evolution of land use carbon emissions and influencing factors in Zibo, China

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Ноя. 5, 2024

The global climate crisis is escalating, and how to reduce land use carbon emission (LUCE) while promoting social economic development a issue. purpose of this study was investigate the spatio-temporal evolution characteristics influencing factors LUCE at county scale. To accomplish goal, based on Zibo County data societal energy consumption statistics, for predicting net in 2010, 2015, 2020. GIS spatial analysis autocorrelation model were utilized LUCE. geographical temporal weighted regression (GTWR) used differences. findings demonstrate that: (1) rate change City decreased between 2010 2020, with overall motivation falling from 0.14% 0.09%. area arable land, forest grassland decreased, amount water, developed unutilized increased. Between emissions increased significantly, 3.011 × 10 7 tC 3.911 tC. distribution followed clear pattern “elevated east diminished west, elevated south north.” agglomeration are obvious, trend Moran I value falling, 0.219 0.212. elements that determine vary greatly by location, most major influences being, descending order, per unit GDP, urbanization rate, land-use efficiency, population size. GDP has greatest impact Linzi District, coefficients ranging 55.4 211.5. clearly depicts resulting contribute them. Simultaneously, it provides scientific framework improving structure implementing low-carbon programs throughout region.

Язык: Английский

A multi-objective optimization framework for regional land-use allocation: Fully utilizing terrestrial vegetation to mitigate carbon emissions

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 144058 - 144058

Опубликована: Окт. 1, 2024

Язык: Английский