Surplus or deficit? Quantification of carbon sources and sinks and analysis of driving mechanisms of typical oasis urban agglomeration ecosystems DOI
Fuqiang Han, Alimujiang Kasimu, Bohao Wei

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123058 - 123058

Опубликована: Окт. 31, 2024

Язык: Английский

Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 DOI Creative Commons

Yuliang Deng,

Min Huang, Daohong Gong

и другие.

International Journal of Digital Earth, Год журнала: 2025, Номер 18(1)

Опубликована: Янв. 3, 2025

In addressing global climate change and promoting economic growth, achieving a comprehensive carbon balance at the county level is vital for sustainable development. However, most studies focus on between emissions sequestration (CESB), neglecting intricate ecological (EECB) this scale. This study introduces an analytical framework that couples development with protection by using coupling coordination degree analysis, zoning, Markov-PLUS model. Taking Jiangxi Province as case study, we evaluate spatio-temporal dynamics of from 2000–2020 predict future trends 2030 under four potential scenarios. Results reveal significant regional variations in CESB over two decades, which primarily exhibit net emission. Meanwhile, continuous decline EECB highlights need balanced By 2030, land use's capacity expected to increase different scenarios, leading 'middle-high, sides-low' spatial pattern CESB. These findings are crucial policymakers devising strategies

Язык: Английский

Процитировано

4

Analysis of landscape pattern and ecological risk change characteristics in Bosten Lake basin based on optimal scale DOI Creative Commons

Adila Yaermaimaiti,

Xinguo Li, Xiangyu Ge

и другие.

Ecological Indicators, Год журнала: 2024, Номер 163, С. 112120 - 112120

Опубликована: Май 11, 2024

Amidst swift socioeconomic progress, urbanization is intensifying, necessitating robust methodologies for environmental quality monitoring. Landscape Ecological Risk (LER) has emerged as a pivotal tool in this context. Extensive research focused on the land utilization rates within watersheds, scrutinizing them through lens of use/land cover (LULC) dynamics. This study delves into LULC attributes Bosten Lake Basin (BLB) across three temporal snapshots: 2000, 2010, and 2020. Grasslands bare ground made up vast majority area BLB. Selected twelve landscape pattern indices, analyzed their response curves with respect to grain size, determined optimal size be 150 m, analysed its optimum amplitude 10 km × basis semi-variance function, thus scale analyzing pattern. Exploring effect facilitates nuanced examination patterns use efficacy From 2000 2020, showed less fragmented, aggregated, more spatially heterogeneous. The ecological risk index model been constructed investigation LER change characteristics Lowest-risk zones lower-risk predominate In 2010 2020 combined lower lowest represent 62.02 %, 59.37 % 58.44 catchment respectively. Finally, spatial autocorrelation variation LER. global Moran' I BLB periods from exceeded 0.7. establishes theoretical practical foundation future multi-scale studies eco-fragile regions.

Язык: Английский

Процитировано

10

Drivers and reduction potential of carbon emissions from cultivated land use DOI

Jiayi Ma,

Xinhui Feng,

Sensen Wang

и другие.

CATENA, Год журнала: 2024, Номер 247, С. 108508 - 108508

Опубликована: Окт. 31, 2024

Язык: Английский

Процитировано

3

Spatial-temporal evolution and multi-scenario prediction of carbon emissions from land use in the adjacent areas of nature reserves DOI Creative Commons
Yuan Li, Yuling Peng,

Wei-Ying Cheng

и другие.

Ecological Indicators, Год журнала: 2024, Номер 170, С. 113047 - 113047

Опубликована: Дек. 31, 2024

Язык: Английский

Процитировано

2

Investigating the Dynamic Change and Driving Force of Vegetation Carbon Sink in Taihang Mountain, China DOI Creative Commons
Qiushi Qu,

Sihui Jian,

Anguo Chen

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1348 - 1348

Опубликована: Авг. 24, 2024

Vegetation plays an important role in absorbing carbon dioxide and accelerating the achievement of neutrality. As ecological barrier North China, Taihang Mountains are pivotal to construction project China. Nevertheless, dynamic development vegetation sink region impact factors on have not been systematically evaluated. This study employed a comprehensive approach, utilising remote sensing technology meteorological topographic data, conjunction with net ecosystem productivity (NEP) estimation model reveal characteristics sinks Mountain, then revealed dynamics evolution NEP inter-annual trend by using Theil–Sen Median slope estimation, Mann–Kendall test, coefficient dissociation analysed driving roles influencing parameter optimal geographic detector. Our findings suggest that Mountain area has clear growth time, average value is 289 gC-m−2-a−1 from 2000 2022, spatial distribution shows high northeast low middle west, gradual increase southwest; areas fluctuation mainly distributed around some cities susceptible interference natural or anthropogenic factors. The influenced variety factors, among which explanatory power each factor as follows: DEM (0.174) > temperature (0.148) precipitation (0.026) (0.017) direction (0.003). had strongest for changes, two-by-two effects were all significantly stronger than single factor, interaction between power; distinguishing climate change contribution activities changes more 90% Mountainous Region was 60%, force change. results this can only provide reference reduction restoration projects but also benefit research paradigm sequestration other regions.

Язык: Английский

Процитировано

2

Land use modeling and carbon storage projections of the Bosten Lake Basin in China from 1990 to 2050 across multiple scenarios DOI Creative Commons
Kunyu Li, Xuemei Wang,

Feng Zhao

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 7, 2024

Given the escalating issue of global climate change, it is imperative to comprehend and quantify effects land use change on carbon storage (CS), which pertains not only preservation ecosystem functions but also directly influences equilibrium stability cycle. This study examines correlation between CS forecasts future spatial distribution CS, offers a reference for rational planning watershed space. Focusing Bosten Lake Basin Xinjiang in China, employing simulation (PLUS) model integrated valuation services trade-offs (InVEST) forecast stocks across three developmental scenarios, while examining shift center gravity autocorrelation their distribution. The findings derived from are as follows: (1) From 1990 2020, predominant type was grassland, there an upward trend areas cropland, forest land, built-up wetland, alongside downward water, unused land. (2) In long term, regional exhibits trend, with most significant increase anticipated EPS scenario. Grassland constitutes extensive reservoir Basin, wetlands exhibit highest sequestration potential. (3) alteration associated expansion or reduction major reservoirs types characterized by (4) consistent pronounced observed under EPS.

Язык: Английский

Процитировано

2

Analysis of Factors Influencing the Spatial and Temporal Variability of Carbon Intensity in Western China DOI Open Access

Mingchen Yang,

Lei Wang,

Hang Hu

и другие.

Sustainability, Год журнала: 2024, Номер 16(8), С. 3364 - 3364

Опубликована: Апрель 17, 2024

Understanding the spatio-temporal differentiation of carbon intensity factors is crucial for setting scientific and reasonable emission reduction targets. This study, based on relevant data from western regions years 2010–2019, analyzes influencing distribution differences in these areas. Additionally, Grey Forecasting Model was utilized to predict development trend average regions. The results indicate following: (1) temporal dimension shows an overall declining with local rebounds, while high-value areas spatial are concentrated northern part study area. (2) Per capita Gross Domestic Product, energy consumption per unit Product investment industrial pollution control have a positive impact intensity, whereas industry disposable income residents negative impact. (3) Energy factor highest degree explanation univariate analysis; interaction detection suggest that core urban development. (4) Predictions using show year-by-year decline, consistent Based conclusions, this paper proposes policy recommendations focusing improving regional economic coordination mechanisms, increasing control, managing expenditures, adjusting proportion population, enhancing residents.

Язык: Английский

Процитировано

1

Assessing Carbon Sink Capacity in Coal Mining Areas: A Case Study from Taiyuan City, China DOI Creative Commons

Fan Chen,

Yang Liu,

Jinkai Guo

и другие.

Atmosphere, Год журнала: 2024, Номер 15(7), С. 765 - 765

Опубликована: Июнь 27, 2024

Climate warming and air pollution are atmospheric environmental problems that have aroused broad concern worldwide. Greenhouse gas emissions the main cause of global warming. In addition to reducing carbon emissions, increasing sink capacity improving quality essential for building green low-carbon enterprises under peak neutrality goals. Currently, research on methods application assessment in coal mining is limited. Given this, this study estimated absorption, storage, net ecosystem productivity a typical area Taiyuan City, China, compared characteristics applicability three methods. The results showed following: (1) total absorption (carbon sink) 2021 was 117.39 t, primary source which forest land. (2) storage 29,561.96 t. From different land use types, mainly came from (27,867.73 t); perspective pool, soil (21,970.96 t) had most significant contribution areas. (3) 781.97 g/(m2·a), indicating sink. (4) estimation differed current case. method simplest, intuitive. complex. via needs collect two years data. Enterprises should assess areas based existing conditions This proposes estimating areas, positive practical significance development mine enterprises.

Язык: Английский

Процитировано

1

Evaluation of machine learning algorithm capability for Bosten Lake Wetland classification based on multi-temporal Sentinel-2 data DOI Creative Commons

Feiying Xia,

Guanghui Lv

Ecological Informatics, Год журнала: 2024, Номер unknown, С. 102839 - 102839

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

1

Source or Sink? Carbon Dynamics and Driving Mechanisms in Oasis Urban Agglomeration Ecosystems DOI
Fuqiang Han, Alimujiang Kasimu, Bohao Wei

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0