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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Assessment and prediction of carbon storage based on land use/land cover dynamics in the coastal area of Shandong Province

Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110474 - 110474

Published: June 10, 2023

Changes in land use and cover (LULC) promote regional carbon storage capacity or trigger depletion, which turn exhibited significant impact on global climate change. Understanding the impacts of LULC changes coastal areas plays a critical role conservation ecosystems sustainable socio-economic development. The present study acted area Shandong Province as an example to analyze relationship between combined with Integrated Valuation Ecosystem Services Tradeoffs (InVEST) Patch-generating Land Use Simulation (PLUS) model. We further predicted variation through change types under three scenarios 2030. Our results showed that cropland (which decreased by 9.41%) built-up increased 7.66%) underwent most over past 20 years, while forest, grassland, wetland, water bare less changes. As dominant type, was also important pool medium storage. Areas high were distributed mountains hills, where main grassland forest. In addition, wetland located Yellow River Delta stores large amounts carbon. Accordingly, low widely urban metropolitan regions. pinpointed lost 47.96×106Mg due increasing decreasing ecological protection measures would effectively enhance Specifically, could be 6.64×106Mg when conversion cropland, forest into reduced 20% 30% (under priority scenario (EP)). believe valid reference for administrators develop policies more reasonable planning development achieve peaking neutrality ("Dual Carbon" goals).

Language: Английский

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Spatio-temporal evolution characteristics and simulation prediction of carbon storage: A case study in Sanjiangyuan Area, China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102485 - 102485

Published: Jan. 17, 2024

Understanding the relationship between land-use patterns and regional carbon storage, as well predicting future changes for sink emission management, are of immense significance. This study utilized data from 1990, 2000, 2010, 2020, InVEST model, to evaluate spatiotemporal evolution storage in Sanjiangyuan area over past three decades. Furthermore, predictions 2035 were presented using PLUS model. The findings revealed following key results: (1) land types mainly low cover grassland, medium grassland unused land, among which decreased significantly 1990 wetland increased, is main reason increase storage. (2) Climatic-environmental social-economic factors jointly influenced change area. Except expansion other was by climatic environmental factors. (3) During 1990–2020, source region showed an overall upward trend, with a total 39.97 × 107 t, had positive potential impact on whole. (4) Under natural scenario, both density increased simulation 2035, positive. On this basis, paper puts some suggestions forward improve capacity future. provides valuable scientific insights management decision-making promotes sustainable development functions region.

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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Impacts of Future Climate Change and Xiamen’s Territorial Spatial Planning on Carbon Storage and Sequestration

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 273 - 273

Published: Jan. 14, 2025

The intensification of climate change and the implementation territorial spatial planning policies have jointly increased complexity future carbon storage changes. However, impact on under remains unclear. Therefore, this study aims to reveal potential impacts sequestration, providing decision support for addressing optimizing planning. We employed FLUS model, InVEST variance partitioning analysis (VPA) method simulate 15 different scenarios that combine Xiamen in 2035, quantify individual combined ecosystem sequestration. results showed (1) by Xiamen’s capacity is expected range from 32.66 × 106 Mg 33.00 various scenarios, reflecting a decrease 2020 levels; (2) conducive preserving storage, with urban development boundary proving be most effective; (3) greatly affected change, RCP 4.5 more effective than 8.5 maintaining higher levels storage; (4) influence sequestration consistently exceeds particularly high-emission where regulatory effect especially significant.

Language: Английский

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Identification of Ecological Functional Areas and Scenario Simulation Analysis of the Wanjiang Urban Belt from a Trade-Off/Synergy Perspective

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 444 - 444

Published: Feb. 20, 2025

Identifying ecological functional areas by clarifying the trade-off synergies of multiple ecosystem services to meet practical needs coordinating different in a specific region is highly important. Based on InVEST, RUSLE and other models, this study analyzed tradeoff five typical Wanjiang Urban Belt from 1990 2020 using Pearson correlation analysis, self-organizing map (SOM) carried out zoning. The PLUS model was used simulate evolution zones 2030. results revealed that (1) 2020, water yield (WY), soil reservation (SR), food production (FP) increased, whereas carbon storage (CS) habitat quality (HQ) decreased. value showed pattern “high south low north”. (2) WY–SR, WY–HQ, HQ–CS, HQ–SR were synergistic, synergistic relationship weakening trend. There trade-offs WY–CS, WY–FP, SR–FP, effects increased with time. (3) area divided into an transition area, conservation urban development restoration agroecological functions structures each cluster significantly differed. (4) Under natural scenario, scales transition, conservation, increased. cropland protection began transform areas. transfer restoration, In conclusion, are dominated effects, but there potential risk shifting relationships. future, targeted regional optimization measures according status zone urgently needed provide references for territorial space management control region.

Language: Английский

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Spatial pattern and driving factors of cropland ecosystem services in a major grain-producing region: A production-living-ecology perspective

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 111024 - 111024

Published: Oct. 11, 2023

Exploring the spatial patterns and driving factors of cropland ecosystem services production-living-ecology are essential to implementing zoning management optimization, especially in major grain-producing regions. In this study, we first developed an evaluation system for evaluating Jianghan Plain (JHP). We then revealed various integrated index based on multi-source data. Additionally, employed regionalization with dynamically constrained agglomerative clustering partitioning algorithm (REDCAP) delineate agricultural function zones. Finally, used redundancy analysis reveal each functional zone. Results indicated that (1) high habitat quality, soil retention, carbon storage exhibited similarity 2020, pattern west low east, water conservation showed opposite distribution pattern, while culture recreation value were concentrated northern part, grain production was observed southern region. Overall, displayed a north–south distribution, higher values north lower south. (2) results index, six zones identified, including cropland, ecology living cropland. (3) mainly influenced by population density, night light evaporation JHP, trade-offs between function, other functions as well zone ecosystems. The findings hold significant implications sustainable development

Language: Английский

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An analysis of regional carbon stock response under land use structure change and multi-scenario prediction, a case study of Hefei, China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110293 - 110293

Published: April 27, 2023

As the largest global carbon pool system, terrestrial ecosystems have an important role to maintain stability of ecosystems. Human activities affect structural changes in ground surface and interfere with ecosystem evolution, consequently, stock is changed region. Therefore, forecasting future under different land use scenarios has research implications for promoting stable evolution cycling This study conducted data from 2000 2020, incorporates Patch-generating Land Use Simulation model Integrated Valuation Ecosystem Services Trade-Offs analyze Hefei, its influence on Hefei various scenarios. During period, mutual conversion between types City made structure change within area more significant. The rapidly evolving reason decrease storage ecosystems, a cumulative 1.2 × 108 t. spatial distribution shows pattern low north high south. obviously banded area. obvious storage. Compared natural development scenario, downward trend ecological protection scenario comprehensive slowed down due restrictions transformation implementation relevant policies. this will support management policy making background China's "double carbon" target significant position City.

Language: Английский

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Multiscenario Simulation of Land-Use Change in Hubei Province, China Based on the Markov-FLUS Model

Land, Journal Year: 2023, Volume and Issue: 12(4), P. 744 - 744

Published: March 25, 2023

A goal of land change modelers should be to communicate scenarios future that show the variety possible landscapes based on consequences management decisions. This study employs Markov-FLUS model simulate land-use changes in Hubei Province multiple consider social, economic, and ecological policies using 18 driving factors, including point-of-interest data. First, was developed validated with historical data from 2000 2020. The then used 2020 2035 four scenarios: natural development, economic priority, protection, cultivated protection. results effectively simulates pattern Province, an overall accuracy 0.93 for use simulation Kappa coefficient FOM index also achieved 0.86 0.139, respectively. In all scenarios, remained primary type 2035, while construction showed increasing trend. However, there were large differences simulated patterns different scenarios. Construction expanded most rapidly priority scenario, it more slowly protection scenario. We designed scenario restrict rapid expansion land. development encroached forests. contrast, forests water areas well-preserved, decrease increase suppressed, resulting a improvement sustainability. Finally, spread curbed. conclusion, applied this has substantial implications effective utilization resources environment Province.

Language: Английский

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The Response of Carbon Stocks to Land Use/Cover Change and a Vulnerability Multi-Scenario Analysis of the Karst Region in Southern China Based on PLUS-InVEST

Forests, Journal Year: 2023, Volume and Issue: 14(12), P. 2307 - 2307

Published: Nov. 24, 2023

Quantitatively revealing the response of carbon stocks to land use change (LUCC) and analyzing vulnerability ecosystem stock (ECS) services are great significance for maintaining cycle ecological security. For this study, China’s Guizhou Province was study area. Land data in 2000, 2010, 2020 were selected explore impacts LUCC on multiple scenarios by combining PLUS InVEST models then ECS services. The results show that forest plays an important role improving karst plateau mountainous areas. In 2000–2020, expansion offset reduced built-up land, greatly regional function. Following natural trend (NT), total will decrease 1.86 Tg; however, under protection (EP) measures, service performs a positive function LUCC. Focusing socioeconomic development (ED) increase service. future, area size should be increased, restricted better improve

Language: Английский

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