Evolution of ecosystem services under the impact of urbanization using the InVEST model in the xiongan new area, China DOI Creative Commons

Xuxu Gao,

Fengjin Xiao, Qiufeng Liu

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(3), P. 035021 - 035021

Published: March 1, 2024

Abstract Understanding the impact of land use on ecosystem service functions is crucial for guiding management and ecological environment protection in Xiongan New Area (XANA), China. This paper employs InVEST model to assess temporal spatial characteristics water yield, carbon storage, purification, soil conservation services XANA from 1980 2020, analyzing geographical variations capabilities. Through correlation analysis grid Moran’s I index, we explored mechanisms action trade-offs synergies among these services. Our results revealed that urban increased throughout 1980–2020 period, with fastest growth occurring 2010 primarily due cultivated conversion. Prior 2010, expanded rapidly, consuming significant amounts resources. Changes structure drove increases yield nitrogen output while decreasing storage erosion. Urban area change was primary factor influencing output, reduced main driver behind decreased region. Cultivated identified as contributor The synergy between closely tied land, quality purification hinge areas areas. To ensure sustainable development XANA, it essential protect wetland Baiyangdian Lake basin, enhance forest grassland coverage, monitor changes different their interrelationships closely.

Language: Английский

Assessment of the impact of wetland changes on carbon storage in coastal urban agglomerations from 1990 to 2035 in support of SDG15.1 DOI Creative Commons
Ze Zhang, Weiguo Jiang, Kaifeng Peng

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 877, P. 162824 - 162824

Published: March 21, 2023

The quantitative assessment and spatial representation of wetland carbon storage, which play a critical role in the global cycle human production, can provide useful data knowledge for decision-making achieving sustainable development goals (SDGs). Currently, activities climate change impacts pose challenge storage coastal urban clusters. We proposed "past-present-future" long time series refined model using Guangxi Beibu Gulf (GBG) Guangdong, Hong Kong, Macao Greater Bay Area (GBA) as study area. CLUE-S InVEST models were coupled to conduct comparative analysis temporal changes identification damages from 1990 2035 finally explore sensitivity quantitatively assess SDG15.1 target. results showed that (1) both clusters are characterized by many reservoirs/farming ponds, large river areas few lakes. 1990–2035 rivers, shallow waters mudflats have decreasing trend be distributed middle their respective regions, mangroves on an increasing trend, GBG is mainly Maowei Sea GBA Shenzhen Bay. (2) Wetland two show overall fluctuating downward with lakes beaches all showing trend. multiyear average 3.2 times higher than those GBA. In ecological protection scenario (EPS) policy planning, it reasonable help sequestration (3) 2020 was positive storage. rate recovery stocks lower under natural increase (NIS) (EPS). economic (EDS) contributes least realisation agglomeration. most

Language: Английский

Citations

67
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
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
Spatial–temporal evolution analysis of multi-scenario land use and carbon storage based on PLUS-InVEST model: A case study in Dalian, China DOI Creative Commons
Qiang Wu, Wang Li, Tianyi Wang

et al.

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

Published: Aug. 3, 2024

Language: Английский

Citations

21
Urbanization promotes carbon storage or not? The evidence during the rapid process of China DOI
Bowei Wu, Yuanyuan Zhang, Yuan Wang

et al.

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

Published: May 1, 2024

Language: Английский

Citations

19
Predicting land use and land cover changes for sustainable land management using CA-Markov modelling and GIS techniques DOI Creative Commons
Zainab Tahir, Muhammad Tahir Haseeb, Syed Amer Mahmood

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 25, 2025

This study addresses the significant issue of rapid land use and cover (LULC) changes in Lahore District, which is critical for supporting ecological management sustainable land-use planning. Understanding these crucial mitigating adverse environmental impacts promoting development. The main goal to evaluate historical LULC from 1994 2024 forecast future trends 2034 2044 utilizing CA-Markov hybrid model combined with GIS methodologies. Landsat images various sensors (TM, OLI) were employed supervised classification, attaining high accuracy (> 90%). Historical analyzed, revealing transformations Lahore. build-up area expanded by 359.8 km², indicating urbanization, while vegetation decreased 198.7 km² barren lands 158.5 km². Water bodies remained relatively stable during this period. Future projected using (CA-MHM), achieved a prediction kappa coefficient 0.92. research indicated urban growth at expense land. forecasts suggest ongoing underscoring necessity techniques. framework planners, providing insights that combine development conservation. results highlight incorporating predictive models into policy promote preservation quickly changing areas such as

Language: Английский

Citations

17
Impacts of Future Climate Change and Xiamen’s Territorial Spatial Planning on Carbon Storage and Sequestration DOI Creative Commons
Wei Zhu, Ting Lan, Lina Tang

et al.

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

Citations

2
Spatiotemporal patterns of urban forest carbon sequestration capacity: Implications for urban CO2 emission mitigation during China's rapid urbanization DOI
Yüjie Guo, Zhibin Ren,

Chengcong Wang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 912, P. 168781 - 168781

Published: Nov. 24, 2023

Language: Английский

Citations

33
An analysis of regional carbon stock response under land use structure change and multi-scenario prediction, a case study of Hefei, China DOI Creative Commons
Yiling Wang, Dongdong Liang, Jian Wang

et al.

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

Citations

28
Assessment of occupation of natural habitat by urban expansion and its impact on crucial ecosystem services in China’s coastal zone DOI Creative Commons
Chao Liu, Dahai Liu, Ping Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110682 - 110682

Published: July 18, 2023

Urban zones across the world have experienced a massive expansion in recent decades, affecting food production, carbon storage, and biodiversity, further threatening realization of UN's Sustainable Development Goals (SDGs), particularly SDG 2 (zero hunger), 13 (climate action), 15 (life on land). These enormous impacts are even more worrying coastal areas where urbanization has been continuously accelerated. However, we poor understanding about magnitude reduction natural habitat crucial ecosystem services over time caused by urban areas. Here chose zone eastern China using high-resolution dataset land-use/land-cover (LULC) to investigate influences growth from 1990 2018. The results showed that: (1) China's region resulted an estimated 2061.14 km2 habitat, 154.13 Tg C 1.67 cropland net primary 148.02 × 103 quality; (2) production loss 1.34 106 tons crop which is comparable meeting basic demands 3.35 million hungry people for year; (3) overall degradation reached 1838.28 km2, with grade 1 area accounting largest portion (801.18 km2), representing 43.58% total degradation; (4) contributor storage (63.83%) was large-scale conversion areas, while quality were primarily due occupation forests (42.62%). Our suggest that effective land-use planning must be implemented coordinate growth, protection, displacement rapidly urbanizing

Language: Английский

Citations

27