Temporal and spatial evolution of ecosystem services value in Hefei city based on land use change, and multi-scenario prediction DOI Creative Commons

Zhipeng Lu,

Bin Dong,

Zhili Xu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 7, 2023

Abstract Ecosystem service value (ESV) is an important index to measure regional ecological well-being, and its spatio-temporal evolution of great reference significance for promoting the comprehensive green transformation economic social development. Based on change law land use ecosystem in Hefei City from 2000 2020, this paper uses FLUS model evaluation method simulate 2040 under four scenarios natural development, cropland protection, urban development so as explore impact future value. The results show that: (1) From area continued decrease, construction grassland increased significantly, other types changed little. (2) total ESV first then decreased. significantly 2010, decreased by 703.75 CNY billion 2010 2020. (3) Under multi-scenario simulation, values protection have different degrees loss, but not only did decrease 1.5358 8.0757 respectively. Among scenarios, most loss was scenario, with a reduction 117.52 billion. research can provide scientific basis optimization structure establishment long-term mechanism restoration future.

Language: Английский

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

22

Prediction of land use for the next 30 years using the PLUS model's multi-scenario simulation in Guizhou Province, China DOI Creative Commons

Juncong Liu,

Bangyu Liu,

Linjing Wu

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 7, 2024

Abstract Land use changes significantly impact the structure and functioning of ecosystems. The current research focus lies in how to utilize economic policy instruments regulate conflicts among stakeholders effectively. objective is facilitate rational planning sustainable development land utilization resources. PLUS model integrates a rule-based mining method for expansion analysis CA based on multi-type stochastic seeding mechanism, which can be used mine driving factors predict patch-level evolution landscapes. Using model, simulation was conducted study future distribution area over next 30 years. Based data from Guizhou Province 2000, 2010, 2020, total 16 were selected three aspects: geographical environment, transportation network, socio-economic conditions. Four scenarios, namely natural development, urban ecological conservation, farmland rotection, established. Comparative simulated differences various scenarios performed. (1) overall accuracy using 0.983, with Kappa coefficient 0.972 FoM 0.509. meets requirements. (2) Through four different investigated Each scenario exhibited distinct impacts utilization. Comprehensive comparison results revealed that protection aligns goals area. Currently, there relative scarcity simulation, particularly application, Province. This aims provide reference resources high-quality construction Guizhou, promoting tandem advanced environmental protection.

Language: Английский

Citations

20

Plus-InVEST Study of the Chengdu-Chongqing Urban Agglomeration’s Land-Use Change and Carbon Storage DOI Creative Commons
Chaoyue Wang, Tingzhen Li,

Xianhua Guo

et al.

Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1617 - 1617

Published: Sept. 21, 2022

Based on China’s “carbon neutrality” strategy, this study explores the relationship between land-use/cover change and temporal spatial changes of ecosystem carbon storage in urban agglomerations. Using Plus-InVEST model, projected patterns land use Chengdu-Chongqing agglomeration 2030 under natural development ecological protection scenarios were simulated predicted, characteristics storage, together with its spatio-temporal dynamics, evaluated two scenarios. Results show that: (1) From 2000 to 2020, forests, water areas, construction unused continued increase, while area cropland grassland decreased continuously. During last 20 years, showed an increasing trend, overall increase 24.490 × 106 t. (2) Compared scenario, forest land, grassland, scenario exhibits a substantial change; is limited; effect reflected. (3) by 50.001 t 49.753 2030, respectively. The stability conservation was significantly higher than that scenario. Therefore, as result coordinated Chengdu-Chongqing, functions various regions can be losses mitigated.

Language: Английский

Citations

43

Combining LSTM and PLUS Models to Predict Future Urban Land Use and Land Cover Change: A Case in Dongying City, China DOI Creative Commons
Xin Zhao, Ping Wang,

Songhe Gao

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(9), P. 2370 - 2370

Published: April 30, 2023

Land use is a process that turns piece of land’s natural ecosystem into an artificial one. The mix plant and man-made covers on the Earth’s surface known as land cover. primary external force behind change in cover, cover has impact how carried out, resulting synergistic interaction between two at surface. In China’s Shandong Peninsula city cluster, Dongying significant coastal port city. It serves administrative hub for Yellow River Delta situated Province, northeast. changes its urban future are crucial to understanding. This research suggests prediction approach combines patch-generation simulation (PLUS) model long-term short-term memory (LSTM) deep learning algorithm increase accuracy predictions effectiveness new method demonstrated by fact average inaccuracy simulating any sort 2020 around 5.34%. From 2030, 361.41 km2 construction converted cropland, 424.11 cropland water. conversion areas water unused 211.47 148.42 km2, respectively. area will decrease 8.38% 3.64%, respectively, while land, water, grassland 5.53%, 2.44%, 0.78%,

Language: Английский

Citations

16

Scenario Simulation and Driving Force Analysis of Ecosystem Service Values Based on Land Use/Cover in the Tumen River Basin, China DOI Open Access

Richen Ding,

Yuchen Li,

Chunzi Zhao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(1), P. 399 - 399

Published: Jan. 2, 2024

Key ecological function areas play a crucial role in safeguarding and rehabilitating ecosystems mitigating regional degradation. Unraveling the interconnectedness between land use/cover (LULC) transformation ecosystem service value (ESV) these regions is of profound importance for sustainable development. In this paper, LULC response Tumen River Basin (TRB) to an assessment ESV from 2000 2020 was explored. An advanced equivalent factor that incorporates both biomass socioeconomic factors used evaluate TRB. Taking potential impact such as temperature (TEM), precipitation (PRE), normalized difference vegetation index (NDVI), digital elevation model (DEM), soil organic matter content (SOMC), human activity intensity surface (HAILS) into account, patch-generating use simulation (PLUS) simulate predict spatial evolution under different resource management strategies 2030. The results indicate increasing trend total study area 2020, with forested accounting nearly 94% HAILS, DEM, NDVI were identified main affecting differentiation ESV. A negative correlation (−0.65) found landscape shape ndex (LSI), indicating more irregularly shaped landscapes have lower Positive correlations observed Shannon’s Diversity Index (SHDI) (0.72) Aggregation (AI) (0.60), suggesting diverse interconnected higher PLUS provide valuable data-based support achieving planning objectives strategies. Specifically, findings can serve reference integrated resources environmental protection, promoting development functional along northeast border China.

Language: Английский

Citations

5

Guiding the landscape patterns evolution is the key to mitigating river water quality degradation DOI

Qiyu Xu,

Shufang Guo,

Limei Zhai

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 901, P. 165869 - 165869

Published: July 30, 2023

Language: Английский

Citations

13

Evaluation of mangrove restoration effectiveness using remote sensing indices - a case study in Guangxi Shankou Mangrove National Natural Reserve, China DOI Creative Commons
Yuhang Wang,

Xifei Wang,

Shahbaz Khan

et al.

Frontiers in Marine Science, Journal Year: 2023, Volume and Issue: 10

Published: Nov. 29, 2023

As one of the most productive marine ecosystems in coastal wetlands, mangrove forests have been severely threatened by intensive human activities. Many countries and regions carried out restoration projects. The evaluation effectiveness is great significance for scientific decision-making engineering wetland management. In this study, we presented a remote-sensing-based Mangrove Restoration Effectiveness Index (MREI) to evaluate effectiveness. We took Guangxi Shankou National Natural Reserve (GSMNNR) China, UNESCO Biosphere Reserve, as our study area, where four phases afforestation were implemented during 1990-2022. MREI was developed based on Landsat-series images considering change area Normalized Difference Vegetation (NDVI) from start year end each phase (evaluation period). further evaluated Persistence (PRE) trajectory whole period, Process-based (PREI) at village scale. results showed that can effectively represent consistent pattern with high-spatial-resolution imagery. From 1990 2022, forest increased 235.26 ha 873.27 84.59% converted tidal flats reserve. average value five 0.48, 0.24, 0.29, 0.17, 0.72, respectively. dynamic 5.24% zones had poor PRE, 44.17% excellent PRE. perspective spatial distribution, Zones PREI values ranging high low follows: Zone A, E, J, G, C, H, I (D), F, B. Overall, mainly distributed central Dandou Sea northern part Yingluo Bay. northwest Sea. expect potential be applied other

Language: Английский

Citations

12

Three Decades of Land Cover Changes Shifted Environment‐Driven Greening Towards Browning in Coastal China DOI

Y. T. Liang,

Yan Sun, Zaichun Zhu

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

Coastal vegetation serves as a protective buffer against the deleterious impacts of storm surges, influencing dynamic exchange energy and matter mediating lateral transport carbon from land to ocean. Comprehensive understanding coastal dynamics is crucial for sustaining ecological biogeochemical functions ecosystems. Despite considerable influence cover change (LCC) on greenness, quantifying this impact along rapidly developing Chinese coasts amid significant social economic changes over past decades remains inadequately addressed. In study, using moderate-resolution Landsat-based Normalized Difference Vegetation Index (NDVI), we found that LCC generally reduced greenness shifted environment-driven greening towards browning in China three decades. Compared 'Stable Land Cover areas', 'Land Change areas' exhibited 23% decrease proportion 39% increase proportion. Urbanization occurring regions during 1992-2018 dominated effect 29% 'LCC which outweighed climate change, CO2 fertilization, nitrogen enrichment. This negative urbanization was scarcely compensated by afforestation, despite concurrent implementation National Shelterbelt System Construction Project (NCSSCP). The afforestation area under green scenario (SSP1-2.6) 2030-2060 projected be substantially higher than 30 years. It expected mitigate enhance ecosystem sustainability through conservation policies, particularly forest restoration zone China. Furthermore, insights derived satellite observations study will serve fundamental information representing next generation Earth system models (ESMs), enhancing predictions related future function adaptation.

Language: Английский

Citations

0

Simulation of Land Use Based on Multiple Models in the Western Sichuan Plateau DOI Creative Commons
Xinran Yu,

Jiangtao Xiao,

Ke Huang

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(14), P. 3629 - 3629

Published: July 21, 2023

Many single-land-use simulation models are available to simulate and predict Land Use Cover Change (LUCC). However, few studies have used multiple LUCC in the same region. The paper utilizes CA-Markov model, Modeler (LCM), Patch-generating Simulation model (PLUS) with natural social driving factors on Western Sichuan Plateau, using Kappa coefficient, overall accuracy (OA), Figure of Merit (FoM) verify selects a suitable landscape pattern study area from 2020 2070. results as follows: (1) LCM has highest effect, its OA, FoM higher than other two models. (2) land types grassland wetland will increase Among them, decrease, but is still most prominent category this proportion areas remains unchanged. fragmentation degree forest (F), (GL), shrubland (SL), water bodies (WBs), bare (BAs), permanent ice snow (PIS) decreases, distribution shows trend aggregation. dominance F C decreases dominates landscape. aggregation increased complexity decreased, each type’s diversity, evenness, richness increased, presenting more reasonable development. Using region, choosing local great significance scientifically manage effectively allocate resources field.

Language: Английский

Citations

8

ANALISIS SPASIAL TEMPORAL ALIH FUNGSI LAHAN PERTANIAN (SAWAH) KE NON PERTANIAN TAHUN 2012-2021 DI KECAMATAN WIDODAREN, KABUPATEN NGAWI DOI Creative Commons

Aufa Arifana Faisal,

Yuli Priyana,

Danardono Danardono

et al.

Jurnal Tanah dan Sumberdaya Lahan, Journal Year: 2023, Volume and Issue: 10(1), P. 37 - 47

Published: Jan. 1, 2023

Widodaren district has an area that is mostly still in the form of agricultural land. However, at this time, it undergone a land function change, so impact on productivity food crops. The purpose study was to analyze transfer (paddy fields) non-agricultural spatially temporally from 2012-2021. method used secondary data analysis accompanied by field observations. results showed period 2012-2021 conversion reached 1,226 ha . functions occurred rice fields settlements covering 422.29 hectares, mixed gardens 477.62 ha, and 326.09 ha. Land all villages District, namely Banyubiru, Gendingan, Karangbanyu, Kauman, Kayutrejo, Kedunggudel, Sekaralas, Sekarputih, Sidolaju, Sidomakmur, Walikukun, villages.

Language: Английский

Citations

7