Open Access
| Issue |
E3S Web Conf.
Volume 617, 2025
2024 International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2024)
|
|
|---|---|---|
| Article Number | 03003 | |
| Number of page(s) | 7 | |
| Section | Study on Sustainable Urban and Rural Development and Spatial Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202561703003 | |
| Published online | 21 February 2025 | |
- GASCON C, BROOKS T M, CONTRERAS-MACBEATH T, et al. The importance and benefits of speciesL [J]. Current Biology, 2015, 25(10):R431-R438. [CrossRef] [PubMed] [Google Scholar]
- Fllman J B, Hod E, Dryer w, Pyare S. Stream physical characleristics impact habitat quality for pacific salmon in two temperale coastalwatersheds. PLoS One, 2015, 10(7) : e0132652. [CrossRef] [PubMed] [Google Scholar]
- Hilard E M, Nielen CK, Crowinger J W. Swamp rabbis as indicatos of wilife habitat quality in boltomlIand hardwood forest ecosystems. Ecological Indicators, 2017, 79:47-53. [CrossRef] [Google Scholar]
- Zhang X R, Song W, Lang Y Q, Feng X M, Yuan Q Z, Wang J T. Land use changes in the coastal zone ol China's Hebei Povince and thecorresponding impacts on habitat quality. Land Use Policy , 2020, 99: 104957. [CrossRef] [Google Scholar]
- DIODATO N, BELLOCCHI G. MedREM, a rainfall erosivitymodel for the Mediterrancan region. Journal of Hydrology, 2010, 387(1): 119-127. [CrossRef] [Google Scholar]
- Merow, C., Smith, M. J. and Silander, J.A., Jr (2013), A practical guide to MaxEnt for modeling species' distributions: what it does, and why inputs and settings matter. Ecography, 36: 1058-1069. [CrossRef] [Google Scholar]
- Boumans, Roelof, Joe Roman, Irit Altman and Les Kaufman. “The Multiscale Integrated Model of Ecosystem Services (MIMES): Simulating the interactions of coupled human and natural systems.” Ecosystem services 12 (2015): 30-41. [CrossRef] [Google Scholar]
- Xie Yiru, Gao Peichao, Wang Xiangyu, et al. Exploring thetrade-offs between grain yield and ecological benefits in aneconomic development context: Land-use optimization ofHeilongjiang Province[J]. Journal of Beijing NormalUniversity (Natural Science), 2020, 56(6):873-881. (inChinese with English abstract) [Google Scholar]
- Billionnet A. Mathematical optimization ideas for biodiversity conservation. European Joumal of Operational Research , 2013, 231(3):514-534. [CrossRef] [Google Scholar]
- Reeder W J, Gariglio F, Carnie R, Tang C L, Isaak D, Chen Q W, Yu Z B, McKean JA, Tonina D. Some ( fish might) like it hot: habitatquality and fish growth from past to future climates. Science of the Total Environment, 2021, 787: 147532. [CrossRef] [Google Scholar]
- Torgersen, C. E., Le Pichon, C., Fullerton, A. H., Dugdale, S. J., Duda, J. J., Giovannini, F., et al. (2021). Riverscape approaches in practice: Perspectives and applications. Biological Reviews, 97(2), 481–504. [Google Scholar]
- Gu Hanlong, Ma Tianjun, Qian Fengkui, et al. County land use scenario simulation and carbon emission effect analysis using CLUE-S model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022, 38(9);288-296. [Google Scholar]
- We D, Wang X, Liul, etal. Maintaning key ecosystem services under multiple development scenarios: A casestudy in Guangdong-Hong Kong-Macaogrecatcr bay Area, China[J]. Ecological Indicators, 2023, 154: 110691. [CrossRef] [Google Scholar]
- YANG J, XIE P, XI J C, et al. LUCC simulation based on thecellular aulomata simulation: a case study of Dalian economicand technological development zone . Acta Geographica Sinica, 2015, 70(03) : 461-475. [Google Scholar]
- Li, H., Lin, J., Lei, X. and Wei, T.X. (2022) Compressive Strength Prediction of Basalt Fiber Reinforced Concrete via Random Forest Algorithm. Materials Today Communications, 30, Article ID: 103117. [CrossRef] [Google Scholar]
- Sijia, J., Tianjun, W., Jiancheng, L. et al. Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping. Earth Sci Inform 16, 863–875 (2023). [CrossRef] [Google Scholar]
- Wang, D., Hao, H., Liu, H., Sun, L., & Li, Y. (2024).Spatial–temporal changes of landscape and habitat quality in typical ecologically fragile areas of western China over the past 40 years: A case study of the Ningxia Hui Autonomous Region. Ecology and Evolution, 14, e10847♠. [CrossRef] [PubMed] [Google Scholar]
- Cheng, Y.; Zhang, X.; Song, W. Ecological Risk Assessment of Land Use Change in the Tarim River Basin, Xinjiang, China. Land 2024, 13, 561. [CrossRef] [Google Scholar]
- multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 2017, 168;94-116. [CrossRef] [Google Scholar]
- Liang X, Liu X P, Li D, Zhao H, Chen G Z. Uirban growth sinulation by incorporating planming policies inlo a CA-based future land-usesimulation model. International Jourmal of Geographical Information Seience, 2018, 32(11) : 2294-2316. [CrossRef] [Google Scholar]
- li C, wa Y M, Cao B P, Zheng K J, Wu Y, liC.Muli-scenario simulation of ecosystem service value for optimization of land use in the SichuanYunnan ecological barrier, China. Ecological Indicators, 2021, 132:108328. [CrossRef] [Google Scholar]
- SHI M J, WU HQ, FANX, et al. Trade - olls and synermies of muliple cosysem services fordifrent land use seenarios in the Yii river valley, China. Sustainability, 2021, 13(3) : 1577. [CrossRef] [Google Scholar]
- Xie L, Wang H W, Liu S L. The ecosystem service values simulation and driving force analysis based on land use/land cover: A case study in inland rivers in arid areas of the Aksu River Basin, China[J]. Ecological Indicators, 2022, 138. [Google Scholar]
- Ting Zhao, Jinghu Pan. Ecosystem service trade-offs and spatial non-stationary responses to influencing factors in the Loess hilly-gully region: Lanzhou City, China[J]. Science of The Total Environment, 2022, 157422. [Google Scholar]
- Yang Q, Zhang P, Qiu X, Xu G, Chi J. Spatial- Temporal Variations and Trade-Offs of Ecosystem Services in Anhui Province, China. Int J Environ Res Public Health. 2023 Jan 3; 20(1): 855. doi: 10.3390/ijerph20010855. [CrossRef] [PubMed] [Google Scholar]
- LIN J, HE P, YANG L. Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model[J]. Sustainable Cities and Society, 2022, 80(2022):103812. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.