Towards carbon neutrality: a study on the spatial spillover effects of FCS in the Yellow River Basin, China DOI Creative Commons
Mingjuan Ma, Shuifa Ke, Qiang Li

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 5, 2023

Abstract Developing forest carbon sinks (FCS) is significant for China to achieve neutrality. The Yellow River Basin a principal area China’s energy consumption, and the resource distribution of this vast basin spatially dependent, determining that development FCS cannot be separated geographically. Based on spatial panel data 69 prefecture-level cities in 1988-2018, firstly, we depict picture spatial-temporal trajectories variations using geospatial analysis. Secondly, fully considering economic geographical attributes resources, develop econometrics model investigate inter-regional correlations spillover effects from dimension comprehensively explore direct indirect impact different explanatory variables FCS. Thirdly, pertinent policy suggestions are put out serve as guide increasing

Language: Английский

Climate change and its ecological risks are spatially heterogeneous in high-altitude region: The case of Qinghai-Tibet plateau DOI
Yi Wang, Yihe Lü,

Da Lü

et al.

CATENA, Journal Year: 2024, Volume and Issue: 243, P. 108140 - 108140

Published: June 7, 2024

Language: Английский

Citations

13

Spatiotemporal simulation of blue-green space pattern evolution and carbon storage under different SSP-RCP scenarios in Wuhan DOI Creative Commons
Guiyuan Li,

Wang-Zhen Wang,

Bowen Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 1, 2025

Rapid socioeconomic growth has altered land use patterns, resulting in a surge worldwide CO2 emissions, triggering global climate challenges and adversely affecting human health, safety, sustainable development. As result, immediate action is required to undertake mitigation adaptation strategies. This study, based on the causal logic of change, blue-green space carbon uses system dynamics (SD) model, patch-generating simulation (PLUS) integrated valuation ecosystem service trade-offs (InVEST) models simulate evolution patterns predict spatial distribution storage Wuhan 2060 from 2030 under three SSP-RCP scenarios CMIP6 investigates their mechanisms. The findings show that across various scenarios, would decline over next 30 years, with green spaces decreasing some amount blue growing marginally. also expected due shrinking patterns. SSP126 scenario least shrinkage spaces, reduction 7.18Tg storage. Under SSP245 scenario, expansion non-blue-green encroaches an 8.13 Tg decrease Across SSP585 expand fastest, highest loss considerable drop 11.67 Tg. research extremely important for optimizing regional coordinating high-quality development Wuhan, assisting implementation urban change plans.

Language: Английский

Citations

1

Spatio-Temporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems in the Yellow River Basin DOI Creative Commons

Bingqing Sun,

Jiaqiang Du,

Fangfang Chong

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(15), P. 3866 - 3866

Published: Aug. 4, 2023

The accurate estimation of a regional ecosystem’s carbon storage and the exploration its spatial distribution influencing factors are great significance for ecosystem sink function enhancements management. Using Yellow River Basin as study area, we assessed changes in terrestrial through geographically weighted regression modeling based on large number measured sample sites, explored main geographic probe analysis, predicted sequestration potentials under different scenarios from 2030 to 2050. results showed that (1) total 2020 was about 8.84 × 109 t. Above-ground biological storage, below-ground soil accounted 6.39%, 5.07%, 89.70% respectively. From 2000 2020, basin trend decreasing then increasing, west larger than east south north. (2) Forest contributor increase Basin. Elevation, temperature, precipitation were pattern storage. (3) ecological conservation scenario had best gain effect among four future development scenarios, appropriate policies could be formulated this help achieve goals increase.

Language: Английский

Citations

17

Evaluation of driving effects of carbon storage change in the source of the Yellow River: A perspective with CMIP6 future development scenarios DOI Creative Commons
Ming Ling, Zihao Feng, Zizhen Chen

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102790 - 102790

Published: Aug. 23, 2024

Language: Английский

Citations

5

Decoupling the Impacts of Climate Change and Human Activities on Terrestrial Vegetation Carbon Sink DOI Creative Commons

Shuheng Dong,

Wanxia Ren,

Xiaobin Dong

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4417 - 4417

Published: Nov. 26, 2024

Net ecosystem productivity (NEP) plays a vital role in quantifying the carbon exchange between atmosphere and terrestrial ecosystems. Understanding effects of dominant driving forces their respective contribution rates on NEP can aid effective management sinks, especially rapidly urbanizing coastal areas where climate change (CC) human activities (HA) occur frequently. Combining MODIS NPP products meteorological data from 2000 to 2020, this paper established Modis NPP-Soil heterotrophic respiration (Rh) model estimate magnitude China’s zone (CCZ). Hotspot analysis, variation trend, partial correlation, residual analysis were applied explore spatiotemporal patterns contributions CC HA dynamics NEP. We also explored changes different land use types. It was found that there is clear north–south difference spatial pattern CCZ, with Zhejiang Province serving as main watershed for difference. In addition, most regions showed an improvement Beijing–Tianjin–Hebei region Shandong Province, but pixel values here generally not high southern provinces. According types forces, these primarily results synergistic HA. provinces south are mainly dominated by single-factor-driven degradation. The area contributes increase much larger than CC. From perspective types, forests farmland contributors CCZ.

Language: Английский

Citations

4

Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020 DOI Creative Commons
Yang Chen, Yongming Xu, Tianyu Chen

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 16(1), P. 60 - 60

Published: Dec. 22, 2023

Understanding the net ecosystem productivity (NEP) is essential for understanding functioning and global carbon cycle. Utilizing meteorological The Advanced Very High Resolution Radiometer (AVHRR) remote sensing data, this study employed Carnegie–Ames–Stanford Approach (CASA) Geostatistical Model of Soil Respiration (GSMSR) to map a monthly vegetation NEP in China from 1982 2020. Then, we examined spatiotemporal trends identified drivers changes using Geodetector model. mean over 39-year period amounted 265.38 gC·m−2. Additionally, average annual sequestration 1.89 PgC, indicating large sink effect. From 2020, there was general fluctuating increasing trend observed NEP, exhibiting an overall growth rate 4.69 gC·m−2·a−1. analysis revealed that majority region China, accounting 93.45% entirety, exhibited NEP. According analysis, precipitation change rate, solar radiation altitude were key driving factors rate. Furthermore, interaction between demonstrated most significant

Language: Английский

Citations

9

Analysis of spatio-temporal changes in net primary productivity and their driving factors in ecological functional areas of the Yellow River Basin DOI

Yingxuan Wang,

Jia Tian,

Xuejuan Feng

et al.

Ecological Engineering, Journal Year: 2024, Volume and Issue: 203, P. 107262 - 107262

Published: May 2, 2024

Language: Английский

Citations

3

Analysis of Spatiotemporal Evolution and Influencing Factors of Vegetation Net Primary Productivity in the Yellow River Basin from 2000 to 2022 DOI Open Access

Kunjun Tian,

Xing Liu, Bingbing Zhang

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 16(1), P. 381 - 381

Published: Dec. 31, 2023

The Yellow River Basin (YRB) plays a very important role in China’s economic and social development ecological security, so studying the spatiotemporal variation characteristics of net primary productivity (NPP) its influencing factors is great significance for protecting stable environment. This article takes YRB as research area, based on Moderate Resolution Imaging Spectroradiometer (MODIS) data, climate terrain land gravity recovery experiment (GRACE) data. evolution vegetation NPP from 2000 to 2022 were explored using methods such trend analysis, correlation geographic detectors, with meteorological factors, total water storage (TWS) evaluated. results indicate that showed an increasing (4.989 gC·m−2·a−1) 2022, most significant changes occurring middle reaches YRB. coefficient indicates temperature accumulated have positive impact change NPP, while TWS has negative impact. In study affecting YRB, influential are soil type (0.48), precipitation (0.46), (0.32). strong between about 39%, contribution rate 0.12, which factor cannot be ignored

Language: Английский

Citations

6

Exploring the Pathways of Achieving Carbon Peaking and Carbon Neutrality Targets in the Provinces of the Yellow River Basin of China DOI Open Access

Jiayi Jiang,

Shulin Chen

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6553 - 6553

Published: July 31, 2024

Achieving carbon peaking and neutrality is an intrinsic requirement for sustainable development. The industrial structure primarily characterized by the chemical energy industries poses a hindrance to attainment of goals in provinces Yellow River Basin China. Predicting time exploring pathways urgent issue government address. STIRPAT InVEST models were used emissions sequestration estimation nine regions from 2010 2060. results show that study area will realize 2030 under baseline scenario, with emission 4146 million tons. Under high-emission 2035, 4372 low-carbon energy-saving 2025, 3909 entire cannot achieve 2060 three scenarios. scenarios, only Qinghai Sichuan can 2060, Sichuan, Qinghai, Shaanxi, Gansu on time. This research indicates attaining be accomplished implementing strategies such as encouraging growth clean energy, managing usage, refining structure, strengthening ecosystem’s sink.

Language: Английский

Citations

2

Changes in vegetation ecosystem carbon sinks and their response to drought in the karst concentration distribution area of Asia DOI Creative Commons

Shunfu Yang,

Yuan Li, Yuluan Zhao

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102907 - 102907

Published: Nov. 1, 2024

Language: Английский

Citations

2