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

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

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

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

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

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

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Global spatially explicit carbon emissions from land-use change over the past six decades (1961–2020)

One Earth, Journal Year: 2024, Volume and Issue: 7(5), P. 835 - 847

Published: April 30, 2024

Language: Английский

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Unexpected response of terrestrial carbon sink to rural depopulation in China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 948, P. 174595 - 174595

Published: July 9, 2024

Language: Английский

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Spatial–temporal evolution analysis of multi-scenario land use and carbon storage based on PLUS-InVEST model: A case study in Dalian, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112448 - 112448

Published: Aug. 3, 2024

Language: Английский

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Carbon storage and sequestration in a eucalyptus productive zone in the Brazilian Cerrado, using the Ca-Markov/Random Forest and InVEST models

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 444, P. 141291 - 141291

Published: Feb. 15, 2024

Language: Английский

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

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

Published: April 20, 2024

Language: Английский

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Urbanization promotes carbon storage or not? The evidence during the rapid process of China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 359, P. 121061 - 121061

Published: May 1, 2024

Language: Английский

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Assessing the impact of land use and cover change on above-ground carbon storage in subtropical forests: a case study of Zhejiang Province, China

Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: Jan. 10, 2025

Land Use and Cover Change (LUCC) has emerged as a primary driver of terrestrial carbon storage changes. However, the contributions LUCC to Above-Ground Carbon (AGC) in subtropical forests remain unclear due complex diverse trajectory. Quantitative assessment impact different trajectories on is essential for regional cycle mechanisms. Therefore, this study focuses Zhejiang Province, representative forest region China, accurately assess contribution AGC changes from 1984 2019. We first mapped land cover patterns using random spatiotemporal filtering algorithm then applied these drive an optimized BIOME-BGC model simulate distribution density. Finally, were classified into three categories: afforestation, deforestation, type transformations. Their isolated analyzed through trajectory analysis. The results demonstrated that area Province increased 5.35 × 106 ha 6.83 (+27.66%) total 80.52 Tg C 124.16 (+54.19%) between increase amounted 31.26 C, contributing 71.63% total. Specifically, transformations contributed 82.37%, −17.27%, 6.53% change AGC, respectively. Overall, afforestation within was factor growth This obtained accurate data, clarifying providing better understanding responses dynamics.

Language: Английский

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