Spatiotemporal Evolution and Future of Carbon Storage in Resource-Based Chinese Province: A Case Study from Shanxi Using PLUS–InVEST Model Prediction DOI Open Access
Yingwen Jiao, Yuhui Wang,

Chenghong Tu

и другие.

Sustainability, Год журнала: 2024, Номер 16(11), С. 4461 - 4461

Опубликована: Май 24, 2024

Resource exploitation markedly alters land use and ecological carbon storage, posing risks to sinks food security. This study analyzes land-use change from 1990 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, PLUS model was used predict four scenarios: natural development (ND), cropland protection (CP), (EP), dual ecology (DP). The spatial temporal evolutions storage were then analyzed using InVEST model. Forests predominantly distributed mountainous areas, with croplands southerly central flat construction lands around cities, mining sporadically across Shanxi. From 2020, grasslands decreased, while forest, construction, increased. Carbon decreased continuously, total loss 15.1 × 106 t. High-value areas Lüliang, Taihang, Taiyue Mountains, low-value more populous southern regions. predicted decline by 2035 under ND CP scenarios exceed that EP DP scenarios. scenario projected an increase 4.93 t 2035. realizes maintains security, providing theoretical reference for achieving neutrality high-quality sustainable Shanxi Province.

Язык: 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

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(16), С. 4050 - 4050

Опубликована: Авг. 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”.

Язык: Английский

Процитировано

62

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

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110660 - 110660

Опубликована: Июль 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.

Язык: Английский

Процитировано

55

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

и другие.

Ecological Indicators, Год журнала: 2023, Номер 151, С. 110345 - 110345

Опубликована: Май 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.

Язык: Английский

Процитировано

45

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

Zhen Jian,

Yingjun Sun, Fang Wang

и другие.

Global Ecology and Conservation, Год журнала: 2024, Номер 49, С. e02796 - e02796

Опубликована: Янв. 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.

Язык: Английский

Процитировано

24

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

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 930, С. 172557 - 172557

Опубликована: Апрель 20, 2024

Язык: Английский

Процитировано

22

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

npj Urban Sustainability, Год журнала: 2025, Номер 5(1)

Опубликована: Март 15, 2025

Язык: Английский

Процитировано

3

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

и другие.

Land, Год журнала: 2022, Номер 11(10), С. 1617 - 1617

Опубликована: Сен. 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.

Язык: Английский

Процитировано

43

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

и другие.

Landscape Ecology, Год журнала: 2023, Номер 38(7), С. 1807 - 1830

Опубликована: Апрель 18, 2023

Язык: Английский

Процитировано

38

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

и другие.

Current Opinion in Environmental Science & Health, Год журнала: 2024, Номер 37, С. 100536 - 100536

Опубликована: Янв. 23, 2024

Язык: Английский

Процитировано

13

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

и другие.

Land, Год журнала: 2024, Номер 13(4), С. 509 - 509

Опубликована: Апрель 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.

Язык: Английский

Процитировано

13