Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing DOI Creative Commons

Yirui Zhang,

Shouhang Du, Linye Zhu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 151 - 151

Published: Jan. 13, 2025

Analyzing the current trends and causes of carbon storage changes accurately predicting future land use under different climate scenarios is crucial for regional decision-making management. This study focuses on Beijing as its area introduces a framework that combines Markov model, Patch-based Land Use Simulation (PLUS) Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model to assess at sub-district level. allows systematic analysis spatiotemporal evolution in from 2000 2020, including influence driving factors storage. Moreover, it enables simulation prediction 2025 2040 various scenarios. The results show following: (1) From overall change showed trend “Significant decrease cropland area; Forest increase gradually; Shrub grassland first then decrease; Decrease water; Impervious expands large scale”. (2) “decrease-increase” fluctuation, with an 1.3 Tg. In prediction, ecological protection scenario will contribute achieving goals peak neutrality. (3) Among factors, slope has strongest impact Beijing, followed by Human Activity Intensity (HAI) Nighttime Light Data (NTL). built-up areas, was found HAI DEM (Digital Elevation Model) have effect, NTL Fractional Vegetation Cover (FVC). findings this offer valuable insights sustainable advancement conservation urban development Beijing.

Language: Английский

Using the InVEST-PLUS Model to Predict and Analyze the Pattern of Ecosystem Carbon storage in Liaoning Province, China DOI Creative Commons
Pengcheng Li,

Jundian Chen,

Yixin Li

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(16), P. 4050 - 4050

Published: Aug. 16, 2023

Studying the spatiotemporal distribution pattern of carbon storage, balancing land development and utilization with ecological protection, promoting urban low-carbon sustainable are important topics under China’s “dual strategy” (Carbon emissions stabilize harmonize natural absorption). However, existing research has paid little attention to impact use changes different spatial policies on provincial-scale ecosystem storage. In this study, we established a density database for Liaoning Province obtained temporal storage over past 20 years. Then, based 16 driving factors multiple in Province, predicted cover (LUCC) three scenarios 2050 analyzed characteristics response mechanisms scenarios. The results showed that (1) LUCC directly affected 35.61% increase construction decrease 0.51 Tg 20-year period. (2) From 2020 2050, varied significantly among trend scenario (NTS), restoration (ERS), economic priority (EPS), values 2112.05 Tg, 2164.40 2105.90 respectively. Carbon exhibited positive growth, mainly due substantial forest area. (3) was characterized by “low center, high east, balanced west”. Therefore, can consider rationally formulating strictly implementing policy protection future planning so as control disorderly growth land, realize area, effectively enhance ensure realization goal strategy”.

Language: Английский

Citations

60
Scenario simulation of land use change and carbon storage response in Henan Province, China: 1990–2050 DOI Creative Commons

Liyao Fan,

Tianyi Cai, Qian Wen

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110660 - 110660

Published: July 15, 2023

The carbon storage service of terrestrial ecosystems has an veritable impact on the global cycle and, in turn, climate change. Hence, both assessing and predicting land use changes are necessary to reduce emissions mitigate Therefore, using integrated valuation ecosystem services tradeoffs (InVEST) model with remote sensing data, this study systematically analyzes use/cover change (LUCC) response characteristics types Henan Province, China 1990–2020 period. also uses patch-generating simulation (PLUS) predict LUCC Province from 2023 2050 under different scenarios, including Business as Usual (BAU), Ecological Conservation (EC), Urban Development (UD) scenarios. following results noted: (1) mainly comprises conversion farmland construction land. Presently, Province's is found have decreased by 339.72 Tg due LUCC, which characterized "high west low east." (2) Regarding three aforementioned province's predicted increase its greatest extent UD scenario. Under EC scenario, woodland areas will be effectively protected. highest level reserves likely followed that BAU while lowest should seen 312.07 Tg, 233.43 394.49 lower than 2020 BAU, EC, respectively. In sum, provides scientific basis decisions aimed at facilitation low-carbon development, optimal utilization spaces, development ecological civilization Province.

Language: Английский

Citations

52
Effects of land use/cover change on carbon storage between 2000 and 2040 in the Yellow River Basin, China DOI Creative Commons

Chenglong Xu,

Qi‐Bin Zhang, Qiang Yu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110345 - 110345

Published: May 11, 2023

Land use/cover change (LUCC) is the primary source of carbon storage changes in ecosystem. Up to now, there are few studies about impacts and driving mechanisms LUCC for ecosystem at spatial–temporal scales. Characterizing Yellow River Basin (YRB) its role very important necessary elucidate results human activities on ecosystems. The policies address potential future risks should be formulated advance achieve effective development. In paper, we regarded YRB as study area, analyzed during 2000 2020, predicted land use patterns 2040 under scenarios natural trend (NT), ecological degradation (ED), restoration (ER) using Markov model with Patch-generating Use Simulation (PLUS) model, quantified ecosystems over last 20 years according Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model. outcome was follows: (1) During 2040, changed markedly, cropland being transformed into woodland, grassland built-up land; (2) an upward a mean annual increase 1.93×106Mg C, woodland answer increasing storage, while unused could induce decrease; (3) Carbon varied different degrees three scenarios, but premise not causing large-scale damage, conversion means improving greatly enhancing sequestration efficiency capacity YRB. conclusion, environmental management continuously oriented protection low-carbon development, so that basin will able develop benign direction.

Language: Английский

Citations

44
Soil conservation ecosystem service supply-demand and multi scenario simulation in the Loess Plateau, China DOI Creative Commons

Zhen Jian,

Yingjun Sun, Fang Wang

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 49, P. e02796 - e02796

Published: Jan. 1, 2024

Ecosystem services are an essential foundation for sustainable human development. In view of the severe soil erosion on Loess Plateau (LP), it is important to explore spatial and temporal characteristics supply-demand balance conservation (SCSs). this study, ecosystem service ratio was innovatively proposed quantitatively assess supply demand conservation. First, InVEST model used spatially quantify (soil retention) erosion) (SCS) in LP from 2005 2020. Meanwhile, variation matching were analyzed. Second, predict future, InVEST-PLUS simulate under multiple scenarios 2030. The natural development (NDS), ecological protection (EPS) economic (EDS) coupled with shared socioeconomic pathways (SSPs) representative concentration (RCPs). results showed that: (1) 2020, annual average modulus increased by 60.58 (t/(hm²·a)); retention per unit area 12.89 t/hm2; both northwest southeast, pattern mainly low-low shifted low-high each year; (2) based LULC simulated PLUS model, kappa coefficient overall accuracy 86.29% 91.14%, respectively. A total 19.8% 22.97% built-up land expanded NDS EDS scenarios, respectively, a 17,515.65 km2 forestland grassland EPS scenario; (3) 2030.NDS-SSP245, 2030.EPS-SSP126 2030.EDS-SSP585 moderate high surpluses accounted 11.40%, 14.34% 10.80% surplus area, respectively; compared deficit 49.67%, 43.29% 56.65% study provided innovations coupling degree future model.

Language: Английский

Citations

20
Impacts of climate and land use change on terrestrial carbon storage: A multi-scenario case study in the Yellow River Basin (1992–2050) DOI
Haoyang Wang,

Lishu Wu,

Yongsheng Yue

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 930, P. 172557 - 172557

Published: April 20, 2024

Language: Английский

Citations

20
Plus-InVEST Study of the Chengdu-Chongqing Urban Agglomeration’s Land-Use Change and Carbon Storage DOI Creative Commons
Chaoyue Wang, Tingzhen Li,

Xianhua Guo

et al.

Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1617 - 1617

Published: Sept. 21, 2022

Based on China’s “carbon neutrality” strategy, this study explores the relationship between land-use/cover change and temporal spatial changes of ecosystem carbon storage in urban agglomerations. Using Plus-InVEST model, projected patterns land use Chengdu-Chongqing agglomeration 2030 under natural development ecological protection scenarios were simulated predicted, characteristics storage, together with its spatio-temporal dynamics, evaluated two scenarios. Results show that: (1) From 2000 to 2020, forests, water areas, construction unused continued increase, while area cropland grassland decreased continuously. During last 20 years, showed an increasing trend, overall increase 24.490 × 106 t. (2) Compared scenario, forest land, grassland, scenario exhibits a substantial change; is limited; effect reflected. (3) by 50.001 t 49.753 2030, respectively. The stability conservation was significantly higher than that scenario. Therefore, as result coordinated Chengdu-Chongqing, functions various regions can be losses mitigated.

Language: Английский

Citations

42
Simulating land use change for sustainable land management in rapid urbanization regions: a case study of the Yangtze River Delta region DOI
Zhonghao Zhang, Xueting Wang, Yue Zhang

et al.

Landscape Ecology, Journal Year: 2023, Volume and Issue: 38(7), P. 1807 - 1830

Published: April 18, 2023

Language: Английский

Citations

37
A Coupled InVEST-PLUS Model for the Spatiotemporal Evolution of Ecosystem Carbon Storage and Multi-Scenario Prediction Analysis DOI Creative Commons
Yan Zhang, Xiaoyong Liao, Dongqi Sun

et al.

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 509 - 509

Published: April 12, 2024

In investigating the spatiotemporal patterns and spatial attributes of carbon storage across terrestrial ecosystems, there is a significant focus on improving regional sequestration capabilities. Such endeavors are crucial for balancing land development with ecological preservation promoting sustainable, low-carbon urban growth. This study employs integrated InVEST-PLUS model to assess predict changes in ecosystem under various use scenarios within Chengdu cluster, vital region Central Western China, by 2050. The results indicate following. (1) A linkage between dynamics changes: over two decades, 7.5% decrease arable was observed alongside 12.3% increase areas, leading an 8.2% net reduction storage, equating loss 1.6 million tons carbon. (2) Carbon variations four scenarios—natural (NDS), (UDS), farmland protection (FPS), (EPS)—highlight impact differing developmental conservation policies Chengdu’s reserves. Projections until 2050 suggest further 5% NDS without intervention, while EPS could potentially 3%, emphasizing importance strategic planning policy. research provides solid theoretical foundation exploring relationship further. summary, findings highlight necessity incorporating considerations into strategies. not only sheds light current challenges but also presents method forecasting mitigating urbanization effects services, thus supporting sustainable goals.

Language: Английский

Citations

12
Nature-based solutions for carbon sequestration in urban environments DOI
Paulo Pereira, Fang Wang, Miguel Inácio

et al.

Current Opinion in Environmental Science & Health, Journal Year: 2024, Volume and Issue: 37, P. 100536 - 100536

Published: Jan. 23, 2024

Language: Английский

Citations

10
A systematic framework to reduce urban embodied carbon emissions using urban scale simulation DOI Creative Commons
Siavash Ghorbany, Ming Hu

npj Urban Sustainability, Journal Year: 2025, Volume and Issue: 5(1)

Published: March 15, 2025

Language: Английский

Citations

1