Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017

References

• Al-shalabi, M., L. Billa, B. Pradhan, S. Mansor, and A. A. A. Al-Sharif. 2013. “Modelling Urban Growth Evolution and Land-use Changes Using GIS Based Cellular Automata and SLEUTH Models: The Case of Sana’a Metropolitan City, Yemen.” Environmental Earth Sciences 70: 425–13. doi:10.1007/s12665-012-2137-6.
   Web of Science ®Google Scholar
• Brueckner, J. K. 2000. “Urban Sprawl: Diagnosis and Remedies.” International Regional Science Review 23: 160–171. doi:10.1177/016001700761012710.
   Web of Science ®Google Scholar
• Chang, Y., Z. L. Zhu, R. C. Bu, H. W. Chen, Y. T. Feng, Y. H. Li, Y. M. Hu, and Z. C. Wang. 2013. “Predicting Fire Occurrence Patterns with Logistic Regression in Heilongjiang Province, China.” Landscape Ecology 28: 1989–2004. doi:10.1007/s10980-013-9935-4.
   Web of Science ®Google Scholar
• Chen, L. D., R. H. Sun, and H. L. Liu. 2013. “Ecoenvironmental Effects of Urban Landscape Pattern Changes: Progresses, Problems, and Perspectives.” Acta Ecologica Sinica 33: 1042–1050. In Chinese. doi:10.5846/stxb201205070659.
   Google Scholar
• Couturier, T., A. Besnard, A. Bertolero, V. Bosc, G. Astruc, and M. Cheylan. 2014. “Factors Determining the Abundance and Occurrence of Hermann’s Tortoise Testudo Hermanni in France and Spain: Fire Regime and Landscape Changes as the Main Drivers.” Biological Conservation 170: 177–187. doi:10.1016/j.biocon.2013.12.028.
   Web of Science ®Google Scholar
• De’ath, G. 2007. “Boosted Trees for Ecological Modeling and Prediction.” Ecology 88: 243–251. doi:10.1890/0012-9658(2007)88[243:btfema]2.0.co;2.
   PubMed Web of Science ®Google Scholar
• Deng, C. B., and C. S. Wu. 2013. “Examining the Impacts of Urban Biophysical Compositions on Surface Urban Heat Island: A Spectral Unmixing and Thermal Mixing Approach.” Remote Sensing of Environment 131: 262–274. doi:10.1016/j.rse.2012.12.020.
   Web of Science ®Google Scholar
• Dormann, C. F., J. Elith, S. Bacher, C. Buchmann, G. Carl, G. Carre, J. R. G. Marquez, et al. 2013. “Collinearity: A Review of Methods to Deal with It and a Simulation Study Evaluating Their Performance.” Ecography 36: 27–46. doi:10.1111/j.1600-0587.2012.07348.x.
   Web of Science ®Google Scholar
• Elith, J., J. R. Leathwick, and T. Hastie. 2008. “A Working Guide to Boosted Regression Trees.” Journal of Animal Ecology 77: 802–813. doi:10.1111/j.1365-2656.2008.01390.x.
   PubMed Web of Science ®Google Scholar
• Feng, S. C., X. H. Gao, J. Kang, G. L. Wu, C. Zou, and J. J. Yang. 2012. “Research on Land Use/cover Change and Urban Expansion in Xining City in Recent 30 Years.” Arid Zone Research 29: 129–136. In Chinese.
   Google Scholar
• Grekousis, G., P. Manetos, and Y. N. Photis. 2013. “Modeling Urban Evolution Using Neural Networks, Fuzzy Logic and GIS: The Case of the Athens Metropolitan Area.” Cities 30: 193–203. doi:10.1016/j.cities.2012.03.006.
   Web of Science ®Google Scholar
• Huang, Q. X., C. Y. He, P. J. Shi, Y. Y. Zhao, Y. Yang, and H. Y. Liu. 2009. “Understanding Multi-scale Urban Expansion Driving Forces: In the Case Study of Beijing.” Economic Geography 29: 714–721. In Chinese.
   Google Scholar
• Kakaraparthi, S. K., and K. M. Kockelman. 2011. “Application of UrbanSim to the Austin, Texas, Region: Integrated-model Forecasts for the Year 2030.” Journal of Urban Planning and Development-Asce 137: 238–247. doi:10.1061/(asce)up.1943-5444.0000065.
   Web of Science ®Google Scholar
• Li, C. L., M. Liu, Y. M. Hu, Y. Y. Xu, and F. Y. Sun. 2014. “Driving Forces Analysis of Urban Expansion Based on Boosted Regression Trees and Logistic Regression.” Acta Ecologica Sinica 34: 727–737. In Chinese.
   Google Scholar
• Li, G. D., S. Sun, and C. L. Fang. 2018a. “The Varying Driving Forces of Urban Expansion in China: Insights from a Spatial-temporal Analysis.” Landscape and Urban Planning 174: 63–77. doi:10.1016/j.landurbplan.2018.03.004.
   Google Scholar
• Li, M., S. Y. Zang, C. S. Wu, and X. D. Na. 2018b. “Spatial and Temporal Variation of the Urban Impervious Surface and Its Driving Forces in the Central City of Harbin.” Journal of Geographical Sciences 28: 323–336. doi:10.1007/s11442-018-1475-z.
   Google Scholar
• Li, M., S. Y. Zang, C. S. Wu, and Y. Tian. 2017a. “Spatial and Temporal Variation and Its Driving Forces of Urban Impervious Surface in Urban-rural Continuum of Harbin.” Acta Geographica Sinica 72: 105–115. In Chinese.
   Google Scholar
• Li, X. Z., R. C. Bu, Y. Chang, Y. M. Hu, Q. C. Wen, X. G. Wang, C. G. Xu, Y. H. Li, and H. S. He. 2004. “The Response of Landscape Metrics against Pattern Scenarios.” Acta Ecologica Sinica 24: 123–134. In Chinese.
   Google Scholar
• Li, Y. F., J. Y. Lin, and X. Sun. 2017. “An Early Warning Method on Ecological Risk and Its Application to Improve Landscape Ecological Security Pattern Regulation.” Geographical Research 36: 485–494. In Chinese.
   Google Scholar
• Liu, M., C. L. Li, Y. M. Hu, F. Y. Sun, Y. Y. Xu, and T. Chen. 2014. “Combining CLUE-S and SWAT Models to Forecast Land Use Change and Non-point Source Pollution Impact at a Watershed Scale in Liaoning Province, China.” Chinese Geographical Science 24: 540–550. doi:10.1007/s11769-014-0661-x.
   Web of Science ®Google Scholar
• Liu, M., Y. M. Hu, and C. L. Li. 2017. “Landscape Metrics for Three-dimensional Urban Building Pattern Recognition.” Applied Geography 87: 66–72. doi:10.1016/j.apgeog.2017.07.011.
   Web of Science ®Google Scholar
• Mitsova, D., W. Shuster, and X. H. Wang. 2011. “A Cellular Automata Model of Land Cover Change to Integrate Urban Growth with Open Space Conservation.” Landscape and Urban Planning 99: 141–153. doi:10.1016/j.landurbplan.2010.10.001.
   Web of Science ®Google Scholar
• Mortberg, U., J. Haas, A. Zetterberg, J. P. Franklin, D. Jonsson, and B. Deal. 2013. “Urban Ecosystems and Sustainable Urban Development-analysing and Assessing Interacting Systems in the Stockholm Region.” Urban Ecosystems 16: 763–782. doi:10.1007/s11252-012-0270-3.
   Web of Science ®Google Scholar
• Mu, F. Y., Z. X. Zhang, Y. B. Chi, B. Liu, Q. B. Zhou, C. Y. Wang, and W. B. Tan. 2007. “Dynamic Monitoring of Built-up Area in Beijing during 1973—2005 Based on Multi-original Remote Sensed Images.” Journal of Remote Sensing 11: 257–268. In Chinese.
   Google Scholar
• Mu, Y. C., Y. W. Xie, L. L. Zhang, and Y. H. Chen. 2017. “. Analysis of the Impervious Surface Changes in Lanzhou City from 1994 to 2015.” Geospatial Information 15: 94–97+101. In Chinese.
   Google Scholar
• Park, B. B., and J. Kwak. 2011. “Calibration and Validation of TRANSIMS Microsimulator for an Urban Arterial Network.” Ksce Journal of Civil Engineering 15: 1091–1100. doi:10.1007/s12205-011-1002-6.
   Web of Science ®Google Scholar
• Pittman, S. J., B. M. Costa, and T. A. Battista. 2009. “Using Lidar Bathymetry and Boosted Regression Trees to Predict the Diversity and Abundance of Fish and Corals.” Journal of Coastal Research 25: 27–38. doi:10.2112/si53-004.1.
   Web of Science ®Google Scholar
• Prasad, A. M., L. R. Iverson, and A. Liaw. 2006. “Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction.” Ecosystems 9: 181–199. doi:10.1007/s10021-005-0054-1.
   Web of Science ®Google Scholar
• Qu, A. X., and F. D. Chou. 2013. “The Process and Pattern of Urban Construction Land Expansion in Xuzhou.” Scientia Geographica Sinica 33: 61–68. In Chinese.
   Google Scholar
• Reeves, M. K., M. Perdue, L. A. Munk, and B. Hagedorn. 2018. “Predicting Risk of Trace Element Pollution from Municipal Roads Using Site-specific Soil Samples and Remotely Sensed Data.” Science of the Total Environment 630: 578–586. doi:10.1016/j.scitotenv.2018.02.171.
   Web of Science ®Google Scholar
• Sun, F. Y., M. Liu, Y. C. Wang, H. Wang, and Y. Che. 2020. “The Effects of 3D Architectural Patterns on the Urban Surface Temperature at a Neighborhood Scale: Relative Contributions and Marginal Effects.” Journal of Cleaner Production 258: 120706. doi:10.1016/j.jclepro.2020.120706.
   Web of Science ®Google Scholar
• Tayyebi, A., B. C. Pijanowski, and A. H. Tayyebi. 2011. “An Urban Growth Boundary Model Using Neural Networks, GIS and Radial Parameterization: An Application to Tehran, Iran.” Landscape and Urban Planning 100: 35–44. doi:10.1016/j.landurbplan.2010.10.007.
   Web of Science ®Google Scholar
• United Nations. 2011. Department of Economic and Social Affairs Population Division, “World Urbanization Prospects, the 2011 Revision.” New York. esa.un.org/unpp/
   Google Scholar
• Wang, M. Y., and H. Q. Xu. 2018. “Temporal and Spatial Changes of Urban Impervious Surface and Its Influence on Urban Ecological Quality: A Comparison between Shanghai and New York.” Chinese Journal of Applied Ecology 29: 3735–3746. In Chinese . doi:10.13287/j.1001-9332.201811.018.
   Google Scholar
• Weisberg, P. J., O. Shandra, and M. E. Becker. 2013. “Landscape Influences on Recent Timberline Shifts in the Carpathian Mountains: Abiotic Influences Modulate Effects of Land-use Change.” Arctic Antarctic and Alpine Research 45: 404–414. doi:10.1657/1938-4246-45.3.404.
   Web of Science ®Google Scholar
• Weng, Q. H., and D. S. Lu. 2008. “A Sub-pixel Analysis of Urbanization Effect on Land Surface Temperature and Its Interplay with Impervious Surface and Vegetation Coverage in Indianapolis, United States.” International Journal of Applied Earth Observation and Geoinformation 10: 68–83. doi:10.1016/j.jag.2007.05.002.
   Web of Science ®Google Scholar
• White, R., I. Uljee, and G. Engelen. 2012. “Integrated Modelling of Population, Employment and Land-use Change with a Multiple Activity-based Variable Grid Cellular Automaton.” International Journal of Geographical Information Science 26: 1251–1280. doi:10.1080/13658816.2011.635146.
   Web of Science ®Google Scholar
• Wu, C. S., and A. T. Murray. 2003. “Estimating Impervious Surface Distribution by Spectral Mixture Analysis.” Remote Sensing of Environment 84: 493–505. doi:10.1016/s0034-4257(02)00136-0.
   Web of Science ®Google Scholar
• Wu, W., Y. H. Li, and Y. M. Hu. 2016. “Simulation of Potential Habitat Overlap between Red Deer (Cervus Elaphus) and Roe Deer (Capreolus Capreolus) in Northeastern China.” Peerj 4. doi:10.7717/peerj.1756.
   Web of Science ®Google Scholar
• Wu, W., Y. H. Li, Y. M. Hu, C. L. Xiu, and X. L. Yan. 2018. “Impacts of Changing Forest Management Areas on Forest Landscapes and Habitat Patterns in Northeastern China.” Sustainability 10. doi:10.3390/su10041211.
   Web of Science ®Google Scholar
• Wu, W., Y. H. Li, Y. M. Hu, Y. Chang, and Z. P. Xiong. 2019a. “Anthropogenic Effect on Forest Landscape Pattern and Cervidae Habitats in Northeastern China.” Journal of Geographical Sciences 29: 1098–1112. doi: 10.1007/s11442-019-1647-5.
   Web of Science ®Google Scholar
• Wu, W. J., S. Q. Zhao, and G. M. Henebry. 2019. “Drivers of Urban Expansion over the past Three Decades: A Comparative Study of Beijing, Tianjin, and Shijiazhuang.” Environmental Monitoring and Assessment 191: 34. doi:10.1007/s10661-018-7151-z.
   Web of Science ®Google Scholar
• Xi, F. M., Y. M. Hu, H. S. He, X. Q. Wu, R. C. Bu, Y. Chang, M. Liu, and J. Yu. 2009. “Simulate Urban Growth Based on RS, GIS, and SLEUTH Model in Shenyang-Fushun Metropolitan Area Northeastern China.” In Joint Urban Remote Sensing Event, Shanghai, China. IEEE. doi:10.1109/URS.2009.5137630.
   Google Scholar
• Xian, G. 2007. “Analysis of Impacts of Urban Land Use and Land Cover on Air Quality in the Las Vegas Region Using Remote Sensing Information and Ground Observations.” International Journal of Remote Sensing 28: 5427–5445. doi:10.1080/01431160701227653.
   Web of Science ®Google Scholar
• Yang, L. M., C. Q. Huang, C. G. Homer, B. K. Wylie, and M. J. Coan. 2003. “An Approach for Mapping Large-area Impervious Surfaces: Synergistic Use of Landsat-7 ETM+ and High Spatial Resolution Imagery.” Canadian Journal of Remote Sensing 29: 230–240. doi:10.5589/m02-098.
   Web of Science ®Google Scholar
• Zhang, P. F., Y. M. Hu, and Z. P. Xiong. 2012. “Influence of Location Factor on the Changes of Three-dimensional Architectural Landscape in Tiexi District of Shenyang, Northeast China.” Chinese Journal of Ecology 31: 1832–1838. In Chinese.
   Google Scholar
• Zhang, Q., J. Wallace, X. Z. Deng, and K. C. Seto. 2014. “Central versus Local States: Which Matters More in Affecting China’s Urban Growth?” Land Use Policy 38: 487–496. doi:10.1016/j.landusepol.2013.12.015.
   Web of Science ®Google Scholar
• Zhou, X. D., H. D. Guo, and S. Zibibula. 2018. “Spatial Pattern Evolution of Impervious Surfaces and Its Influence on Surface Temperature in the Process of Urban Expansion: A Case Study of Urumqi.” Acta Ecologica Sinica 38: 7336–7347. In Chinese.
   Google Scholar