Abstract
The scientific evaluation of the wetland biodiversity conservation function is the basis of balanced wetland protection and development. Our research sought to provide references for the protection of wetland ecological environments as well as the related planning and management policies. The study established a fitting model for evaluating the biodiversity conservation function in the Liaohe Delta, northeastern China. The new model, the Wetland Biodiversity Conservation Indicator (WBCI), was with four input factors, including the vegetation coverage (VC), habitat suitability index (HI), land use and land cover (LULC) index (LI), and threat factor index (TI) of the LULC type. The values assigned to HI and TI were based on Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) habitat quality models. The weights of all the factors in WBCI were valued with the Principal Component Analysis (PCA). We evaluated the wetland biodiversity conservation function of Panjin, Liaohe Delta, China, by using the WBCI model based on Gaofen-1 (GF-1) satellite data in 2018, and the result was verified with InVEST and other models. It showed that the output map was similar to that of InVEST, with the higher-quality habitat including the wetland, tidal flat, water body, and forest, as well as the lower-quality land use types including the paddy field, crop field, construction land, and land used by traffic. The wetland biodiversity conservation function was better in areas less affected by human disturbance, with very abundant species and good-quality habitat. It was poor in areas impacted by more frequent human activities such as the land cultivation, housing, and traffic, which led to the landscape fragmentation. The WBCI model provided a more accurate reflection of the bird distribution than the InVEST model. The WBCI model was able to reflect the difference in quality of each habitat grade, in contrast to the net primary productivity (NPP) method and species distribution models (SDMs). The new model was, therefore, simpler and suitable in reflecting the quality of wetland biodiversity function in the Liaohe Delta.
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References
Bai, J., J. Liu, K. Y. Yu, et al., 2015: Evaluation of change in the ecological quality for Minjiang River Basin based on the InVEST-Biodiversity model. China Sciencepaper, 10, 1782–1788, doi: https://doi.org/10.3969/j.issn.2095-2783.2015.15.009. (in Chinese)
Bao, Y.-B., K. Liu, T. Li, et al., 2015: Effects of land use change on habitat based on InVEST model—Taking Yellow River Wetland Nature Reserve in Shaanxi Province as an example. Arid Zone Res., 32, 622–629, doi: https://doi.org/10.13866/j.azr.2015.03.29. (in Chinese)
CBD (Secretarial of the Convention on Biological Diversity), 2014: Global Biodiversity Outlook 4. Secretarial of the Convention on Biological Diversity, Montréal, 155 pp.
Chen, J. L., L. He, Z. F. Wen, et al., 2017: Carbon sequestration potential of a Phragmites salt marsh in the Liaohe River estuarine wetland. Acta Ecol. Sinica, 37, 5402–5410.
Chen, L., M. L. Zhang, F. L. Li, et al., 2019: Structure and diversity of bird communities in Liaohekou Wetlands in spring 2017. Wetland Sci., 17, 146–151, doi: https://doi.org/10.13248/j.cnki.wetlandsci.2019.02.003. (in Chinese)
Chen, Y., F. Qiao, and L. Jiang, 2016: Effects of land use pattern change on regional scale habitat quality based on InVEST model—A case study in Beijing. Acta Scient. Natural. Univ. Pekin., 52, 553–562, doi: https://doi.org/10.13209/j.0479-8023.2016.057. (in Chinese)
Chu, L., X. R. Zhang, T. W. Wang, et al., 2018: Spatial-temporal evolution and prediction of urban landscape pattern and habitat quality based on CA-Markov and InVEST model. Chinese J. Appl. Ecol., 29, 4106–4118, doi: https://doi.org/10.13287/j.1001-9332.201812.013. (in Chinese)
Dai, S. Q., and B. Zhao, 2016: Trends and challenges of ecosystem observations in the age of big data. Biodivers. Sci., 24, 85–94, doi: https://doi.org/10.17520/biods.2015150. (in Chinese)
Isbell, F., P. B. Reich, D. Tilman, et al., 2013: Nutrient enrichment, biodiversity loss, and consequent declines in ecosystem productivity. PNAS, 110, 11,911–11,916, doi: https://doi.org/10.1073/pnas.1310880110.
Jiang, J. X., X. G. Ding, X. L. Feng, et al., 2018: Analysis of the Liaohe Delta sediment engineering geological characteristics in the Liaohe River. Mar. Sci., 42, 1–10, doi: https://doi.org/10.11759/hykx20170117005. (in Chinese)
Li, G., X. P. Wu, Z. L. Luo, et al., 2011: Establishing an indicator system for biodiversity assessment in China. Biodivers. Sci., 19, 497–504, doi: https://doi.org/10.3724/SP.J.1003.2011.08068. (in Chinese)
Liang, J. P., D. X. Ma, D. H. Mao, et al., 2016: Remote sensing based estimation of Phragmites australis aboveground biomass in Shuangtai Estuary National Nature Reserve. Remote Sens. Land Resour., 28, 60–66, doi: https://doi.org/10.6046/gtzyyg.2016.03.10. (in Chinese)
Ma, K. P., 2017: Mapping Asia plants: A cyberinfrastructure for plant diversity in Asia. Biodivers. Sci., 25, 1–2, doi: https://doi.org/10.17520/biods.2017030. (in Chinese)
Ma, M. X., H. Zhang, J. X. Gao, et al., 2019: Different methods comparison of delineating the ecological protection red line for biodiversity conservation. Acta Ecol. Sinica, 39, 6959–6965, doi: https://doi.org/10.5846/stxb201807251587. (in Chinese)
Ministry of Ecology and Environment of the People’s Republic of China, and National Development and Reform Commission, 2017: Ecological Protection Red Line Delineation Guide. Ministry of Ecology and Environment [2017-07-20] 48th, 57 pp [Available online at http://www.mee.gov.cn/gkml/hbb/bgt/201707/t20170728_418679.htm]. (in Chinese)
Sharp, R., H. T. Tallis, T. Ricketts, et al., 2018: InVEST User’s Guide. The Natural Capital Project, Stanford, 307 pp.
State Forestry Administration, 2015: China Wetlands Resources Liaoning Volume. China Forestry Press, Beijing, 160 pp. (in Chinese)
Tian, H., H. T. Jin, Q. F. Sun, et al., 2017: Study on the present status and changing regularity of the groundwater in Liaohe Delta. Geol. Resour., 26, 290–295. (in Chinese)
Yi, Y. J., and S. H. Zhang, 2019: Review of aquatic species habitat simulation method and modelling. Scientia Sinica (Technol.), 49, 363–377, doi: https://doi.org/10.1360/N092018-00217. (in Chinese)
Yu, W. Y., R. P. Ji, Q. Y. Jia, et al., 2017: Vertical distribution characteristics of photosynthetic parameters for Phragmites australis in Liaohe River Delta wetland, China. J. Freshwater Ecol., 32, 557–573, doi: https://doi.org/10.1080/02705060.2017.1358677.
Zhang, J., 2017: Biodiversity science and macroecology in the era of big data. Biodivers. Sci., 25, 355–363, doi: https://doi.org/10.17520/biods.2017037. (in Chinese)
Zhang, X. L., and C. H. Zhang, 2014: Vegetation Characteristics and Evolution of Coastal Wetlands around Bo Sea Delta. Science and Technology Literature Press, Beijing, 195 pp. (in Chinese)
Zheng, Y., P. T. Zhang, F. Tang, et al., 2018: The effects of land use change on habitat quality in Changli County based on InVEST model. Chinese J. Agric. Resour. Reg. Plan., 39, 121–128. (in Chinese)
Zhong, L. N., and J. Wang, 2017: Evaluation on effect of land consolidation on habitat quality based on InVEST model. Trans. Chinese Soc. Agric. Eng., 33, 250–255, doi: https://doi.org/10.11975/j.issn.1002-6819.2017.01.034. (in Chinese)
Zhou, G. S., L. Zhou, E. K. Guan, et al., 2006: Brief introduction of Panjin wetland ecosystem research station. J. Meteor. Environ., 22, 1–6, doi: https://doi.org/10.3969/j.issn.1673-503X.2006.04.001. (in Chinese)
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We thank Liwen Bianji, Edanz Editing China (www.liwenbianji.cn/ac) for editing the English text of a draft of this manuscript.
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Supported by the Provincial Key Research and Development Project of Department of Science and Technology of Liaoning Province (2018108004), Provincial Industrialization Application Project of China High-Resolution Earth Observation System (CHEOS) of State Administration of Science, Technology and Industry for National Defense of PRC (70-Y40G09-9001-18/20), and Project of Institute of Atmospheric Environment, China Meteorological Administration, Shenyang (2020SYIAEJY1).
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Yu, W., Ji, R., Han, X. et al. Evaluation of the Biodiversity Conservation Function in Liaohe Delta Wetland, Northeastern China. J Meteorol Res 34, 798–805 (2020). https://doi.org/10.1007/s13351-020-9186-7
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DOI: https://doi.org/10.1007/s13351-020-9186-7