Analysis and Prediction of Ecosystem Service Values Based on Land Use/Cover Change in the Yiluo River Basin DOI

Jun Hou,

Tianling Qin, Shanshan Liu

et al.

Sustainability, Journal Year: 2021, Volume and Issue: 13(11), P. 6432 - 6432

Published: June 5, 2021

Ecosystem service values are closely related to land use/cover change, however, the affected by change in context of climate variability remain unclear. Based on data 2000, 2010, and 2020 Yiluo River Basin, we quantitatively analyzed impacts historical ecosystem values. Then future use simulation model was applied predict distribution 2030 under three Representative Concentration Pathways scenarios, influences were further. We found that total Basin presented a growth from 9217 million dollars (2000) 9676 (2020), which attributed increase forestland water bodies recent years. By 2030, continued present an upward trend, while also showing difference this discrepancy mainly caused different precipitation conditions. With introduction ecological protection high-quality development Yellow basin new period, may be main factors affecting field future.

Language: Английский

Future scenarios impact on land use change and habitat quality in Lithuania DOI
Eduardo Gomes, Miguel Inácio,

Katažyna Bogdzevič

et al.

Environmental Research, Journal Year: 2021, Volume and Issue: 197, P. 111101 - 111101

Published: April 5, 2021

Language: Английский

Citations

124
Exploring the response of ecosystem service value to land use changes under multiple scenarios coupling a mixed-cell cellular automata model and system dynamics model in Xi'an, China DOI Creative Commons
Ping Zhang, Liu L,

Lianwei Yang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 110009 - 110009

Published: Feb. 14, 2023

Land use is a crucial factor affecting ecosystem service value (ESV), and forecasting future land changes ESV response can guide urban planning sustainable development decisions. However, the traditional Cellular Automata (CA) model supposes that each cell has only one type at time step, neglects mixed structure proportional distribution of units, does not take into account its quantitative continuous dynamic change, lacks exploration quantity spatial pattern optimization. This study employed novel mixed-cell cellular automata (MCCA) approach, coupled with system dynamics (SD) to predict spatiotemporal under natural increase scenario (NIS), economic (EDS) ecological protection (EPS) in Xi’an, China, 2030. The equivalent coefficient method was utilized investigate heterogeneity sensitivity ESV. results demonstrated SD-MCCA exhibited remarkable prediction accuracy robustness. main 2000–2015 were due expansion, conversion arable construction land, between grassland land. total increased from 19554.36×106 CNY 2000 19618.39×106 EPS 2030, contribution climate regulation hydrological highest. Spatial revealed certain regularity, high region chiefly concentrated woodland favorable conditions. variations NIS improved ESV, while had negative transformations EDS. research provides new way identify relationship utilization scenarios which great significance for management resources formulation compensation standards.

Language: Английский

Citations

76
Spatiotemporal evolution and influencing mechanism of ecosystem service value in the Guangdong-Hong Kong-Macao Greater Bay Area DOI
Zhitao Liu, Shaojian Wang, Chuanglin Fang

et al.

Journal of Geographical Sciences, Journal Year: 2023, Volume and Issue: 33(6), P. 1226 - 1244

Published: June 1, 2023

Language: Английский

Citations

57
Past and future impacts of land-use changes on ecosystem services in Austria DOI Creative Commons
Uta Schirpke, Erich Tasser, Stefan Borsky

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118728 - 118728

Published: Aug. 1, 2023

Environmental and socio-economic developments induce land-use changes with potentially negative impacts on human well-being. To counteract undesired developments, a profound understanding of the complex relationships between drivers, land use, ecosystem services is needed. Yet, national studies examining extended time periods are still rare. Based Special Report management climate change by Austrian Panel Climate Change (APCC), we use Driver-Pressure-State-Impact-Response (DPSIR) framework to (1) identify main drivers change, (2) describe past future in Austria 1950 2100, (3) report related services, (4) discuss responses. Our findings indicate that (e.g., economic growth, political systems, technological developments) have influenced most. The intensification agricultural urban sprawl primarily led declining lowlands. In mountain regions, abandonment grassland has prompted shift from provisioning regulating services. However, simulations accelerating will surpass significance towards end this century, particularly intensively used areas. Although change-induced remain uncertain, it can be expected range options restricted future. Consequently, policymaking should prioritize development integrated planning safeguard accounting for environmental uncertainties.

Language: Английский

Citations

56
Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China DOI Open Access
Maomao Zhang, Enqing Chen, Cheng Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237

Published: July 22, 2024

Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.

Language: Английский

Citations

43
Ecological restoration projects did not increase the value of all ecosystem services in Northeast China DOI
Liangjie Wang, Shuai Ma,

Yu-Guo Zhao

et al.

Forest Ecology and Management, Journal Year: 2021, Volume and Issue: 495, P. 119340 - 119340

Published: May 20, 2021

Language: Английский

Citations

67
Exploring the formulation of ecological management policies by quantifying interregional primary ecosystem service flows in Yangtze River Delta region, China DOI
Chengdong Wang, Wenqing Li,

Mingxing Sun

et al.

Journal of Environmental Management, Journal Year: 2021, Volume and Issue: 284, P. 112042 - 112042

Published: Feb. 5, 2021

Language: Английский

Citations

64
Effects of past landscape changes on aesthetic landscape values in the European Alps DOI Creative Commons
Uta Schirpke, Brenda Maria Zoderer, Ulrike Tappeiner

et al.

Landscape and Urban Planning, Journal Year: 2021, Volume and Issue: 212, P. 104109 - 104109

Published: April 15, 2021

Understanding the consequences of land-use changes on aesthetic values associated with mountain landscapes is important for decision-making and landscape planning. While most research has been carried out at small scales disregarding changes, this study aims analysing in three time steps between 1950 2010 across European Alps. We first map scale selected municipalities using a spatially explicit modelling approach that relates people's preferences visual characteristics. then transfer mean municipality level to compare space over time. Our results indicate heterogeneous spatial patterns values: Highest were located mainly central high-elevated Alps, while lowest occurred lower elevations intensive agriculture or dense settlement areas. Between 2010, generally decreased due agricultural activities, elevated areas being more affected than those higher elevations. abandonment summer pastures led homogeneous hence reduced an increase forest closing open patches, change from arable land other land-use/cover types had positive effects some low-elevated Such knowledge relationships may provide basis developing management strategies landscapes.

Language: Английский

Citations

58
Templates for multifunctional landscape design DOI
Sandra Lavorel,

Karl Grigulis,

Daniel R. Richards

et al.

Landscape Ecology, Journal Year: 2022, Volume and Issue: 37(3), P. 913 - 934

Published: Jan. 10, 2022

Language: Английский

Citations

51
Sea Reclamation in Mainland China: Process, Pattern, and Management DOI
Fengqin Yan,

Xuege Wang,

Chong Huang

et al.

Land Use Policy, Journal Year: 2023, Volume and Issue: 127, P. 106555 - 106555

Published: Jan. 28, 2023

Language: Английский

Citations

36