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      The Construction and Optimization of Ecological Security Pattern in the Harbin-Changchun Urban Agglomeration, China

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          Abstract

          Urban agglomerations have become a new geographical unit in China, breaking the administrative fortresses between cities, which means that the population and economic activities between cities will become more intensive in the future. Constructing and optimizing the ecological security pattern of urban agglomerations is important for promoting harmonious social-economic development and ecological protection. Using the Harbin-Changchun urban agglomeration as a case study, we have identified ecological sources based on the evaluation of ecosystem functions. Based on the resistance surface modified by nighttime light (NTL) data, the potential ecological corridors were identified using the least-cost path method, and key ecological corridors were extracted using the gravity model. By combining 15 ecological sources, 119 corridors, 3 buffer zones, and 77 ecological nodes, the ecological security pattern (ESP) was constructed. The main land-use types composed of ecological sources and corridors are forest land, cultivated land, grassland, and water areas. Some ecological sources are occupied by construction, while unused land has the potential for ecological development. The ecological corridors in the central region are distributed circularly and extend to southeast side in the form of tree branches with the Songhua River as the central axis. Finally, this study proposes an optimizing pattern with “four belts, four zones, one axis, nine corridors, ten clusters and multi-centers” to provide decision makers with spatial strategies with respect to the conflicts between urban development and ecological protection during rapid urbanization.

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          The application of ‘least-cost’ modelling as a functional landscape model

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            Use of resistance surfaces for landscape genetic studies: considerations for parameterization and analysis.

            Measures of genetic structure among individuals or populations collected at different spatial locations across a landscape are commonly used as surrogate measures of functional (i.e. demographic or genetic) connectivity. In order to understand how landscape characteristics influence functional connectivity, resistance surfaces are typically created in a raster GIS environment. These resistance surfaces represent hypothesized relationships between landscape features and gene flow, and are based on underlying biological functions such as relative abundance or movement probabilities in different land cover types. The biggest challenge for calculating resistance surfaces is assignment of resistance values to different landscape features. Here, we first identify study objectives that are consistent with the use of resistance surfaces and critically review the various approaches that have been used to parameterize resistance surfaces and select optimal models in landscape genetics. We then discuss the biological assumptions and considerations that influence analyses using resistance surfaces, such as the relationship between gene flow and dispersal, how habitat suitability may influence animal movement, and how resistance surfaces can be translated into estimates of functional landscape connectivity. Finally, we outline novel approaches for creating optimal resistance surfaces using either simulation or computational methods, as well as alternatives to resistance surfaces (e.g. network and buffered paths). These approaches have the potential to improve landscape genetic analyses, but they also create new challenges. We conclude that no single way of using resistance surfaces is appropriate for every situation. We suggest that researchers carefully consider objectives, important biological assumptions and available parameterization and validation techniques when planning landscape genetic studies.
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              Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                02 April 2019
                April 2019
                : 16
                : 7
                : 1190
                Affiliations
                [1 ]Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, School of Architecture, Harbin Institute of Technology, Harbin 150006, China; rongguo_hit@ 123456163.com (R.G.); mengshihuang@ 123456126.com (M.H.)
                [2 ]Key Laboratory of Forest Plan Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, China; forestryliu@ 123456163.com
                [3 ]Department of Civil, Architectural and Environmental Engineering, Padova University, 35131 Padova, Italy; luigi.stendardo@ 123456unipd.it
                [4 ]Department of Agriculture and Forestry Economic Management, School of Economic Management, Northeast Forestry University, Harbin 150040, China; 13895769001@ 123456163.com
                Author notes
                [* ]Correspondence: wutong_hit@ 123456163.com ; Tel.: +86-135-0360-9537
                Author information
                https://orcid.org/0000-0002-0018-6023
                Article
                ijerph-16-01190
                10.3390/ijerph16071190
                6480201
                30987048
                2ea0b4d2-5359-449c-92d2-3bf84feba3c5
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 03 March 2019
                : 30 March 2019
                Categories
                Article

                Public health
                ecological security pattern,ecosystem functions,least-cost path method,harbin-changchun urban agglomeration

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