Spatiotemporal Variation and Prediction of Carbon Storage in Terrestrial Ecosystems at Multiple Development Stages in Beijing City Based on the Plus and Integrated Valuation of Ecosystem Services and Tradeoffs Models DOI Creative Commons

Peian Wang,

Chen Liu, Linlin Dai

et al.

Land, Journal Year: 2024, Volume and Issue: 13(9), P. 1544 - 1544

Published: Sept. 23, 2024

Terrestrial ecosystems play a critical role in the global carbon cycle, and their sequestration capacity is vital for mitigating impacts of climate change. Changes land use cover (LULC) dynamics significantly alter this capacity. This study scrutinizes LULC evolution within Beijing metropolitan region from 1992 to 2022, evaluating its implications ecosystem storage. It also employs Patch-Generating Land Use Simulation (PLUS) model simulate patterns under four scenarios 2035: an Uncontrolled Scenario (UCS), Natural Evolution (NES), Strict Control (SCS), Reforestation Wetland Expansion (RWES). The InVEST concurrently used assess forecast storage each scenario. Key insights are as follows: (1) Beijing’s exhibited phased developmental trajectory, marked by expansion urban forested areas at expense agricultural land; (2) concurrently, region’s displayed fluctuating trend, peaking initially before declining, with higher northwest lower central zones; (3) 2035, projected decrease 1.41 Megatons UCS, 0.097 NES, increase 1.70 SCS, 11.97 RWES; (4) underscores efficacy policies curtailing construction Beijing, advocating sustained growth constraints intensified afforestation initiatives. research reveals significant changes types mechanisms propelling these shifts, offering scientific basis comprehending transformations ramifications further provides policymakers substantial development strategic environmental planning

Language: Английский

Sustainable and Resilient Land Use Planning: A Multi-Objective Optimization Approach DOI Creative Commons
Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjö

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(3), P. 99 - 99

Published: March 18, 2024

Land use allocation (LUA) is of prime importance for the development urban sustainability and resilience. Since process planning managing land requires balancing different conflicting social, economic, environmental factors, it has become a complex significant issue in worldwide. LUA usually regarded as spatial multi-objective optimization (MOO) problem previous studies. In this paper, we develop an MOO approach tackling problem, which maximum economy, minimum carbon emissions, accessibility, integration, compactness are formulated optimal objectives. To solve improved non-dominated sorting genetic algorithm III (NSGA-III) proposed terms mutation crossover operations by preserving constraints on sizes each type. The was applied to KaMavota district, Maputo City, Mozambique, generate proper plan. results showed that NSGA-III yielded better performance than standard NSGA-III. solutions produced provide good trade-offs between This research beneficial policymakers city planners providing alternative plans

Language: Английский

Citations

11
Ecological transformation is the key to improve ecosystem health for resource-exhausted cities: A case study in China based on future development scenarios DOI

Simin Jiang,

Fei Feng,

Xinna Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171147 - 171147

Published: Feb. 21, 2024

Language: Английский

Citations

9
Analysis and Prediction of Land Use/Land Cover Changes in Korgalzhyn District, Kazakhstan DOI Creative Commons
Onggarbek Alipbeki,

Chaimgul Alipbekova,

Gauhar Mussaif

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(2), P. 268 - 268

Published: Jan. 25, 2024

Changes occurring because of human activity in protected natural places require constant monitoring land use (LU) structures. Therefore, Korgalzhyn District, which occupies part the State Natural Reserve territory, is considerable interest. The aim these studies was to analyze changes composition use/land cover (LULC) District from 2010 2021 and predict LU transformation by 2030 2050. Landsat image classification performed using Random Forest on Google Earth Engine. combined CA-ANN model used LULC 2050, were carried out MOLUSCE plugin. results showed that 2021, there a steady increase share ploughable an adequate reduction grassland. It established that, this trend will continue. At same time, be no drastic other classes. obtained can helpful for development management plans policies District.

Language: Английский

Citations

8
Progress and Hotspots of Research on Land-Use Carbon Emissions: A Global Perspective DOI Open Access
Min Liu, Chen Yin-rong, Kun Chen

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(9), P. 7245 - 7245

Published: April 27, 2023

Carbon emissions from land use change are the leading causes of greenhouse effect. Exploration progress and hotspots research on land-use carbon (LUCE) is crucial for mitigating global climate warming. However, a comprehensive systematic review LUCE perspective still lacking. We used WoS Core Collection Database to analyze current status with aid bibliometrix tool, aiming reveal future development trends. found that (1) process has gone through nascent exploration stage (1992–2001), problem-focused (2002–2011), prosperous (2012–2022) under different policy orientations. European North American countries prioritize more than others. (2) Overseas mainly focus effects change, impact deforestation fire stocks, soil organic stocks biodiversity, agricultural emissions. Research in China study influencing factors emissions, path achieving dual goal, transition low economy. (3) frontiers show researches low-carbon intensification context “dual carbon” strategy; emission reduction based energy transition; multi-dimensional, dynamic, accurate tracking monitoring systems using remote sensing satellite data. Other have shifted measuring historical deforestation, degradation biomass combustion warming mitigation research. This enhances depth breadth research, which can provide theoretical foundation scientific reference subsequent LUCE.

Language: Английский

Citations

20
Optimization of Land Use Structure Based on the Coupling of GMOP and PLUS Models: A Case Study of Lvliang City, China DOI Creative Commons
Zhen Wang,

Anya Zhong,

Quanzhi Li

et al.

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1335 - 1335

Published: Aug. 22, 2024

Reasonable land use planning and management efficiently allocates resources, promotes socio-economic development, protects the ecological environment, fosters sustainable development. It is a crucial foundation for achieving harmonious coexistence between humans nature. Optimizing key to management. Four scenarios are established: an economic development scenario (EDS), protection (EPS), natural (NDS), coordinated (CDS). This study simulates patterns under these through coupling of GMOP PLUS models. analyzes efficiency transformation index, landscape comprehensive benefits, ecosystem service value (ESV) each pattern. The optimal pattern determined by balancing factors. results indicated that CDS, areas wasteland, grassland, forest land, water bodies, construction unused in Lvliang City were 6724.29 km2, 6664.74 6581.84 126.94 1017.33 0.42 respectively. represented plan City. minimized human interference with pattern, achieved highest reached reasonable balance benefits ESV. research findings provide valuable insights decision support regional planning, territorial space related policy formulation.

Language: Английский

Citations

5
Spatial–Temporal Difference of Urban Carbon Budget and Carbon Compensation Optimization Partition from the Perspective of Spatial Planning DOI Creative Commons
Haifeng Yang,

Guofang Zhai,

Yifu Ge

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 414 - 414

Published: Feb. 17, 2025

Spatial planning, recognized as a systematic policy instrument for regional development and governance, plays crucial role in achieving carbon peak neutrality. This study establishes framework sources/sinks estimation compensation optimization conducts empirical research representative coal resource-based city. We analyzed the spatial–temporal distribution characteristics of net emissions Huaibei from 2006 to 2020 using spatial correlation model an improved Carnegie–Ames–Stanford approach (CASA). Then, we applied normalized revealed comparative advantage (NRCA) index SOM-K-means clustering categorize pattern into payment, balance, areas. These areas were further integrated with “Three-zones Three-lines” reclassify nine partition types. Finally, proposed targeted emission reduction sink enhancement scheme. found that urban sinks exhibit significant mismatch, intensity reaching 166.76–383.27 t·hm−2 2020, showing rapid increase followed by stabilization. The high-value area, centered Xiangshan District, exhibits circularly decreasing characteristic, gradually extending central city Suixi County. In optimized payment level contributive coefficient surpasses ecological support (3.92 < ECC 6.04, 2.09 ESC 3.58). space balance area type is primarily situated mining subsidence areas, leading lower overall (0.42 0.57, 0.49 1.13). (2.24 3.25, 4.59 5.69) requires economic or non-economic area. combines results formulate program, which not only helps consolidate theory low-carbon cities but also effectively promotes realization goal.

Language: Английский

Citations

0
Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China DOI Creative Commons

Yaling Gao,

Danling Fu, He Huang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113289 - 113289

Published: March 1, 2025

Language: Английский

Citations

0
Implementation of ecological risk scenario simulation and driving mechanisms in typical rocky desertification regions in China: A coupling multi-model ecological assessment framework DOI

Ruei-Yuan Wang,

Guangyu Huang,

Peng Zi

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113464 - 113464

Published: April 11, 2025

Language: Английский

Citations

0
Spatial and Temporal Evolution Patterns of Habitat Quality under Tea Plantation Expansion and Multi-Scenario Simulation Study: Anxi County as an Example DOI Creative Commons
Wen Li,

Jianwei Geng,

Jingling Bao

et al.

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1308 - 1308

Published: June 28, 2023

The expansion of tea plantations has caused changes in land use structure, which, turn, affected the regional habitat quality. Exploring characteristics structure and quality under different development scenarios is important for formulation planning policies guarantee ecological security. This study quantified area from 2010 to 2020 based on InVEST module explored distribution patterns change combination with PLUS model. results show that, 2020, expanded by 153.0126 km2, mean value increased 0.6502 0.6919; scenarios, was large small order scenario 1 (871.2468), 3 (599.4531) 2 (518.5440), high low (0.7385), (0.7162) (0.6919). mainly structural evolution area, can provide a reference basis rational utilization conservation large-scale plantation area.

Language: Английский

Citations

9
How will ecosystem carbon sequestration contribute to the reduction of regional carbon emissions in the future? analysis based on the MOP-PLUS model framework DOI Creative Commons
Yalei Yang, Hong Wang, Xiaobing Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111156 - 111156

Published: Oct. 27, 2023

Carbon neutralization of land use and cover (LULC) has become an important way for countries to cope with future climate change. Existing studies focus on the quantification analysis historical current carbon storage emissions but lack understanding LULC emissions, which limits practical guiding value research findings regional dynamic management scientific decision-making. In this study, temporal spatial distribution patterns dynamics in different ecosystems, such as forest, cropland grassland, West Liao River Basin (WLRB) since 1990 were quantitatively assessed. Grey multiple objective programming (G-MOP) patch‑generating simulation (PLUS) models used predict distribution, under sustainable development scenario (SDS) WLRB 2030 2060, a comparative was performed other scenarios. The overall area grassland forest ecosystems showed upwards trend from 2020, while farmland slightly decreased. western part WLRB, net ecosystem production (NEP) high aggregation, low NEP aggregation effect urban area. Under economic (EDS) impervious layers will be further expanded, highest, amount lowest. ecological protection (EPS), water increased significantly, lowest, highest. SDS scenario, areas cropland, layer body are moderate, budget is better than that natural (NDS). these three scenarios, barren lower scenario. Considering benefit, benefit budget, best performance. This study provides new perspective discussing status small-scale watershed combines goals "sustainable development" "dual carbon". It data-supported basis diversified compensation mechanism neutrality well insights formulation optimization policies.

Language: Английский

Citations

8