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

---

Simulating the impact of land use change on ecosystem services in agricultural production areas with multiple scenarios considering ecosystem service richness

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 397, P. 136485 - 136485

Published: Feb. 22, 2023

Language: Английский

---

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

---

Exploring future ecosystem service changes and key contributing factors from a “past-future-action” perspective: A case study of the Yellow River Basin

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171630 - 171630

Published: March 19, 2024

Language: Английский

---

Reassessing the ecological effectiveness of ecological restoration programs: Evidence from a quasi-natural experiment in China

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107506 - 107506

Published: Jan. 1, 2025

Language: Английский

---

Multiscale analysis of the effects of urban green infrastructure landscape patterns on PM2.5 concentrations in an area of rapid urbanization

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 325, P. 129324 - 129324

Published: Oct. 12, 2021

Language: Английский

---

Environmental laws and ecological restoration projects enhancing ecosystem services in China: A meta-analysis

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 327, P. 116810 - 116810

Published: Dec. 2, 2022

Language: Английский

---

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

---

Unraveling carbon stock dynamics and their determinants in China's Loess Plateau over the past 40 years

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111760 - 111760

Published: Feb. 1, 2024

Synergies and trade-offs among land use covers (LULCs) pose considerable uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this context, we unraveled stock dynamics induced by cover change (LUCC) CLP over past 40 years using satellite-derived annual LULC maps InVEST model. Then, mixed measures were employed to quantify global local responses of both natural anthropogenic factors. We found that approximately a total 5.58 × 109 Mg was stored CLP's ecosystems 2019. Chronologically, showed slight decrease from 1980 2019 due extensive LUCCs linked socioeconomic activities. Specifically, density loss rate accelerated urban–rural-wild continuum (RUWC) types with higher human activity intensity, such as villages urban, while it decelerated woodlands, croplands, where intensity is lower. Moreover, gain wildlands accelerating. Finally, revealed primarily influenced variables have responded diversely drivers space.

Language: Английский

---

Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1402 - 1402

Published: Feb. 7, 2024

Understanding the relationship between land use and carbon storage is vital for achieving sustainable development goals. However, our understanding of how develops under policy planning still incomplete. In this study, a comprehensive framework that integrates Gray Multi-objective Optimization Programming (GMOP), Patch-generating Land Use Simulation (PLUS) model, Integrated Valuation Ecosystem Services Trade-offs (InVEST) models introduced to evaluate dynamics ecosystem services. Two scenarios have been established estimate Cover Change (LUCC) patterns in Hexi Corridor by 2035: business-as-usual (BAU) scenario, developed based on historical trends, ecological conservation scenario (ECS), optimized with multiple objectives. The results show following: (1) From 2000 2020, predominant type was unutilized land, LUCC mainly involving transformation grass land. (2) Carbon increased approximately 9.05 × 106 t from 2020 due LUCC, characterized higher levels south lower north. (3) areas arable are expected continue increasing until 2035, while extent projected decrease. ECS poised create balance protection economic development. (4) By both BAU an increase Corridor, result most significant gains. These research findings provide valuable insights administrators researchers, guiding more rational restoration policies achieve peaking neutrality.

Language: Английский

---