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      Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China

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          Abstract

          Habitat quality is an important indicator for evaluating the biodiversity provided by ecosystem. Estimating and scenario-simulating the dynamic evolution and future development trends of habitat quality under the influence of land-use change is significant in regional biodiversity conservation, formulating land-use planning, and maintaining the ecological environmental sustainability. In this article, we included the Huaihe River Economic Belt as the area of study because of its vital location in China and applied the CA–Markov and InVEST models to analyze the spatio-temporal evolution of habitat quality and to simulate the future development trends of habitat quality under three different land-use scenarios: fast urban growth scenario, farmland conservation-oriented scenario, and ecological conservation-oriented scenario. The results showed that the land-use change in the Huaihe River Economic Belt was mostly represented by the continuous increase of the built-up area, whereas other land types all declined in area from 1995 to 2015. The land-use changes under these three abovementioned alternative future scenarios with different development orientations were considerably different. The built-up area has been shown to expand rapidly to occupy other land types on a large scale under the fast urban growth scenario. Urban land increased slightly and a large area of rural residential land would be converted into farmland under the farmland conservation-oriented scenario. The built-up area and farmland might decrease while woodland, grassland and water would increase in extent of areas under the ecological conservation-oriented scenario. Habitat quality has been shown to be generally poor, continuing to decline from 1995 to 2015, while its spatial distribution was higher in the southwest and northeast areas and lower in the central regions. The future habitat quality would display a downward trend under the fast urban growth and farmland conservation-oriented scenarios with a further deterioration of the ecological environment, while the ecological conservation-oriented scenario predicted the converse trend that the ecological environment would be improved productively. This study may be useful for understanding the impact of land-use dynamics on biodiversity. The research results can provide a scientific basis for the decision-makers to formulate biodiversity conservation and land management policies.

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          Most cited references43

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          Partitioning diversity into independent alpha and beta components.

          Lou Jost (2007)
          Existing general definitions of beta diversity often produce a beta with a hidden dependence on alpha. Such a beta cannot be used to compare regions that differ in alpha diversity. To avoid misinterpretation, existing definitions of alpha and beta must be replaced by a definition that partitions diversity into independent alpha and beta components. Such a unique definition is derived here. When these new alpha and beta components are transformed into their numbers equivalents (effective numbers of elements), Whittaker's multiplicative law (alpha x beta = gamma) is necessarily true for all indices. The new beta gives the effective number of distinct communities. The most popular similarity and overlap measures of ecology (Jaccard, Sorensen, Horn, and Morisita-Horn indices) are monotonic transformations of the new beta diversity. Shannon measures follow deductively from this formalism and do not need to be borrowed from information theory; they are shown to be the only standard diversity measures which can be decomposed into meaningful independent alpha and beta components when community weights are unequal.
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            Ecosystem services in decision making: time to deliver

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              Density as a Misleading Indicator of Habitat Quality

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administration
                Role: Data curationRole: Investigation
                Role: Funding acquisition
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 April 2021
                2021
                : 16
                : 4
                : e0249566
                Affiliations
                [1 ] School of Land Science and Technology, China University of Geosciences, Beijing, China
                [2 ] State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China
                [3 ] State Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu, China
                [4 ] School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang, Hebei, China
                [5 ] GIS Big Data Platform for Socio-Economy in Hebei, Hebei University of Economics and Business, Shijiazhuang, Hebei, China
                Institute for Advanced Sustainability Studies, GERMANY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2929-4255
                Article
                PONE-D-20-20853
                10.1371/journal.pone.0249566
                8021172
                33819303
                9622824b-19c7-48f2-ad40-372137cceca1
                © 2021 Tang et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 6 July 2020
                : 20 March 2021
                Page count
                Figures: 7, Tables: 2, Pages: 20
                Funding
                Funded by: National Key Research and Development Project of China
                Award ID: Grant No. 2016YFC0502501
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: Grant No. 41871347
                Award Recipient :
                Funded by: Program of the Humanities and Social Sciences Research of the Ministry of Education of China
                Award ID: Grant No. 17YJCZH192
                Award Recipient :
                Li Wang received the National Key Research and Development Project of China (Grant No. 2016YFC0502501) and the National Natural Science Foundation of China (Grant No. 41871347), Yanbin Wu received the Program of the Humanities and Social Sciences Research of the Ministry of Education of China (Grant No. 17YJCZH192). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Geography
                Human Geography
                Land Use
                Social Sciences
                Human Geography
                Land Use
                Biology and Life Sciences
                Ecology
                Habitats
                Ecology and Environmental Sciences
                Ecology
                Habitats
                Ecology and Environmental Sciences
                Conservation Science
                Ecology and Environmental Sciences
                Environmental Economics
                Social Sciences
                Economics
                Environmental Economics
                Biology and Life Sciences
                Ecology
                Urban Ecology
                Ecology and Environmental Sciences
                Ecology
                Urban Ecology
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Urban Areas
                Social Sciences
                Human Geography
                Urban Geography
                Urban Areas
                Earth Sciences
                Geography
                Geographic Areas
                Urban Areas
                Biology and Life Sciences
                Ecology
                Ecological Economics
                Ecology and Environmental Sciences
                Ecology
                Ecological Economics
                Social Sciences
                Economics
                Ecological Economics
                Custom metadata
                All data files are available from the Zenodo database( http://doi.org/10.5281/zenodo.4159017).

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