Impact of watershed habitat quality based on land use: a case study of taking Ciyao River Basin

Main Article Content

Hui Xiao-Mei
Yuan Jin
Li Chao
Fan Xiao-Jun
Zhou Yuan

Keywords

Ciyao River, habitat quality, InVEST model, land use

Abstract

Land use pattern is one of the most important factors affecting the quality of habitats, which is taken as the research objective in this study. Based on the land use data of Ciyao river basin from 1985 to 2020, transfer matrix analysis, superposition analysis, and zoning statistics were carried out by ArcGIS. The impact of main threat sources (cultivated land, urban land, and rural residential land) on water quality was calculated using the investment model. The habitat changes and the impact of the habitat quality of the basin on the hydrological and water quality were analyzed. The findings demonstrated that the land-type conversion in Ciyao River Basin from 1985 to 2020 is mainly manifested in the conversion from cultivated land to construction land (94.49 km2), and from grassland to cultivated land (21.59 km2) and forest land (27.15 km2). The habitat quality of the Ciyao River Basin decreased gradually from North to South. The medium and high habitat quality areas are mainly concentrated in the headwater area of the river. Due to the change in land type, the habitat quality in the headwater area of the river significantly improved from 2005 to 2020, while the habitat quality in the confluence area of the Wuliang section significantly declined from 1995 to 2015. Due to the improvements of habitat quality in the source area of the river and water conservation capacity, the total amount of water resources and annual runoff depth of Ciyao River significantly increased from 2005 to 2019 without significant changes in precipitation. The water quality of the Ciyao River has improved due to development of environmental pollution control and the improvement of watershed habitat in 2016–2020.

Abstract 621 | PDF Downloads 561 HTML Downloads 97 XML Downloads 5

References

Aiguo, H., Peng, C. and Nan, W., 2020. Response of regional habitat quality to land cover change based on InVEST Model—a case study of Hefei City. Anhui Agricultural Science Bulletin 26: 7–18.

Ali, R., Kuriqi, A., Abubaker, S. and Kisi, O., 2019. Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method. Water 11(9): 1855. 10.3390/w11091855

Ali, R.O. and Abubaker, S.R., 2019. Trend analysis using Mann–Kendall, Sen’s slope estimator test and innovative trend analysis method in Yangtze River Basin, China. International Journal of Engineering & Technology 8(2): 110–119. 10.14419/ijet.v7i4.29591

Bagstad, K.J., Villa, F., Johnson, G.W. and Voigt, B., 2011. Artificial intelligence for ecosystem services. A guide to models and data, version 1.0. ARIES report series n.1, Geneva, Switzerland, pp. 129–142.

Bai, B., Bai, F., Li, X., Nie, Q., Jia, X. and Wu, H., 2022. The remediation efficiency of heavy metal pollutants in water by industrial red mud particle waste. Environmental Technology & Innovation 28: 102944. 10.1016/j.eti.2022.102944

Bao, Y., Liu, K., Li, T. and Hu, S., 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 Research 32(3): 622–629.

Berta Aneseyee, A., Noszczyk, T., Soromessa, T. and Elias, E., 2020. The InVEST habitat quality model associated with land use/cover changes: a qualitative case study of the Winike Watershed in the Omo-Gibe Basin, Southwest Ethiopia. Remote Sensing 12(7): 1103. 10.3390/rs12071103

Boumans, R. and Costanza, R., 2007. The Multiscale Integrated Earth Systems model (MIMES): the dynamics, modeling and valuation of ecosystem services. Issues in Global Water System Research 2(2): 10–11.

Boumans, R., Roman, J., Altman, I. and Kaufman, L., 2015. The Multiscale Integrated Model of Ecosystem Services (MIMES): simulating the interactions of coupled human and natural systems. Ecosystem Services 12: 30–41. 10.1016/j.ecoser.2015.01.004

Chen, F., Ma, J., Zhu, Y., Li, X., Yu, H. and Sun, Y., 2022. Biodegradation performance and anti-fouling mechanism of an ICME/electro-biocarriers-MBR system in livestock wastewater (antibiotic-containing) treatment. Journal of Hazardous Materials 426: 128064. 10.1016/j.jhazmat.2021.128064

Chen, X., Quan, Q., Zhang, K. and Wei, J. 2021. Spatiotemporal characteristics and attribution of dry/wet conditions in the Weihe River Basin within a typical monsoon transition zone of East Asia over the recent 547 years. Environmental Modelling & Software 143(C): 105116. 10.1016/j.envsoft.2021.105116

Chen, Y., Qiao, F. and Jiang, L., 2016. Effects of land use pattern change on regional scale habitat quality based on InVEST model: a case study in Beijing. Acta Scientiarum Naturalium Universitatis Pekinensis 52: 1–10. 10.13209/j.0479-8023.2016.057

Dai, L., Wang, Z., Guo, T., Hu, L., Chen, Y., Chen, C., et al., 2022. Pollution characteristics and source analysis of microplastics in the Qiantang River in southeastern China. Chemosphere 293: 133576. 10.1016/j.chemosphere.2022.133576

Ding, M., Zhao, W., Xu, X., Tang, J., Fan, T., Zhang, L., et al., 2020. Characteristics of organochlorine pollution in the topsoil of the dawen river watershed and potential risk assessment in China. Applied Ecology and Environmental Research 18: 159–172. 10.15666/aeer/1801_159172

Dou, P., Zuo, S., Ren, Y., Dai, S. and Yun, G., 2019. The impacts of climate and land use/land cover changes on water yield service in Ningbo region. Acta Scientiae Circumstantiae 39: 2398–2409. 10.13671/j.hjkxxb.2019.0122

Fang, X., Wang, Q., Wang, J., Xiang, Y., Wu, Y. and Zhang, Y., 2021. Employing extreme value theory to establish nutrient criteria in bay waters: a case study of Xiangshan Bay. Journal of Hydrology 603: 127146. 10.1016/j.jhydrol.2021.127146

Gao, W., Lu, Y. and Qu, X., 2021. River habitat assessment under urbanization: a case study in Shenzhen. Chinese Journal of Ecology 41(22): 8783–8793. 10.5846/stxb202105311426

Ge, D., Yuan, H., Xiao, J. and Zhu, N., 2019. Insight into the enhanced sludge dewaterability by tannic acid conditioning and pH regulation. Science of the Total Environment 679: 298–306. 10.1016/j.scitotenv.2019.05.060

Li, M., Liang, D., Xia, J., Song, J., Cheng, D., Wu, J., et al., 2021. Evaluation of water conservation function of Danjiang River Basin in Qinling Mountains, China based on InVEST model. Journal of Environmental Management 286: 112212. 10.1016/j.jenvman.2021.112212

Li, Y., Li, Q. and Jiu, S. 2022. River health evaluation based on improved analytic hierarchy process, CRITIC method and compound fuzzy matter-element VIKOR model. Journal of Ecology 41: 11–18.

Li, Z., Van Halem, D. and Verberk, J., 2010. Review of high arsenic groundwater in China. 2010 4th International Conference on Bioinformatics and Biomedical Engineering, IEEE. 1–4. 10.1109/ICBBE.2010.5517266

Lin, X., Lu, K., Hardison, A.K., Liu, Z., Xu, X., Gao, D., et al., 2021. Membrane inlet mass spectrometry method (REOX/MIMS) to measure 15N-nitrate in isotope-enrichment experiments. Ecological Indicators 126: 107639. 10.1016/j.ecolind.2021.107639

Liu, Y., Tian, J., Zheng, W. and Yin, L., 2022. Spatial and temporal distribution characteristics of haze and pollution particles in China based on spatial statistics. Urban Climate 41: 101031. 10.1016/j.uclim.2021.101031

Liu, Y., Zhang, K., Li, Z., Liu, Z., Wang, J. and Huang, P., 2020. A hybrid runoff generation modelling framework based on spatial combination of three runoff generation schemes for semi-humid and semi-arid watersheds. Journal of Hydrology 590(2–4): 125440. 10.1016/j.jhydrol.2020.125440

Nan, Y., Binyang, J. and He, J., 2017. Analysis on the 13th Five-Year Environmental Protection Plan. Environmental Protection 45: 4–12.

Ng, C.N., Xie, Y.J. and Yu, X.J., 2011. Measuring the spatio-temporal variation of habitat isolation due to rapid urbanization: a case study of the Shenzhen River cross-boundary catchment, China. Landscape and Urban Planning 103(1): 44–54. 10.1016/j.landurbplan.2011.05.011

NSPRC, 2017. The National Standards of the People’s Republic of China. Environmental quality standards for surface water. Available from: https://english.mee.gov.cn/SOE/soechina1997/water/standard.htm

Peng, X., Mo, S., Li, R., Li, J., Tian, C., Liu, W., et al., 2021. Effective removal of the rare earth element dysprosium from wastewater with polyurethane sponge-supported graphene oxide–titanium phosphate. Environmental Chemistry Letters 19(1): 719–728. 10.1007/s10311-020-01073-y

Quan, Q., Gao, S., Shang, Y. and Wang, B., 2021. Assessment of the sustainability of Gymnocypris eckloni habitat under river damming in the source region of the Yellow River. Science of the Total Environment 778: 146312. 10.1016/j.scitotenv.2021.146312

Redhead, J., Stratford, C., Sharps, K., Jones, L., Ziv, G., Clarke, D., et al., 2016. Empirical validation of the InVEST water yield ecosystem service model at a national scale. Science of the Total Environment 569: 1418–1426. 10.1016/j.scitotenv.2016.06.227

Redhead, J.W., May, L., Oliver, T.H., Hamel, P., Sharp, R. and Bullock, J.M., 2018. National scale evaluation of the InVEST nutrient retention model in the United Kingdom. Science of the Total Environment 610: 666–677. 10.1016/j.scitotenv.2017.08.092

Sala, O.E., Stuart Chapin, F., Armesto, J.J., Berlow, E., Bloomfield, J., Dirzo, R., et al., 2000. Global biodiversity scenarios for the year 2100. Science 287(5459): 1770–1774. 10.1126/science.287.5459.1770

Shengkai, X., Yunjie, Z., Zh, Y., Guowen L. and Qiujin, X., 2022. Research on ecological construction scheme of the shoreline buffer zone of the mainstream of the Yangtze River: take the Jiangyin Section of the Yangtze River as an example. Journal of Environmental Engineering Technology 12(2): 581–589. 10.12153/j.issn.1674-991X.20210664

Sushi, L., 2020. Evaluation of habitat quality in Tianfu new arb based on CLUE-S and InVEST models. Chengdu University of Technology: MDIP, pp. 27–31.

Sutadian, A.D., Muttil, N., Yilmaz, A.G. and Perera, B., 2016. Development of river water quality indices—a review. Environmental Monitoring and Assessment 188(1): 1–29. 10.1007/s10661-015-5050-0

Tan, Z., Dong, B., Xing, M., Sun, X., Xi, B., Dai, W., et al., 2022a. Electric field applications enhance the electron transfer capacity of dissolved organic matter in sludge compost. Environmental Technology: (12):1–11. 10.1080/09593330.2022.2107951

Tan, Z., Zhu, H., He, X., Xi, B., Tian, Y., Sun, X., et al., 2022b. Effect of ventilation quantity on electron transfer capacity and spectral characteristics of humic substances during sludge composting. Environmental Science and Pollution Research. 29(46): 70269–70284. 10.1007/s11356-022-20808-8

Terrado, M., Sabater, S., Chaplin-Kramer, B., Mandle, L., Ziv, G. and Acuña, V., 2016. Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning. Science of the Total Environment 540: 63–70. 10.1016/j.scitotenv.2015.03.064

Tian, H., Qin, Y., Niu, Z., Wang, L. and Ge, S., 2021. Summer maize mapping by compositing time series sentinel-1A imagery based on crop growth cycles. Journal of the Indian Society of Remote Sensing 49: 2863–2874. 10.1007/s12524-021-01428-0

Villa, F., Ceroni, M., Bagstad, K., Johnson, G. and Krivov, S., 2009. ARIES (Artificial Intelligence for Ecosystem Services): a new tool for ecosystem services assessment, planning, and valuation. Proceedings of the 11th Annual BIOECON Conference on Economic Instruments to Enhance the Conservation and Sustainable Use of Biodiversity, Venice, Italy, 2009. pp. 21–22.

Wan, Z., Zhang, T., Liu, Y., Liu, P., Zhang, J., Fang, L., et al., 2022. Enhancement of desulfurization by hydroxyl ammonium ionic liquid supported on active carbon. Environmental Research 213: 113637. 10.1016/j.envres.2022.113637

Wang, Q., Wu, S., Cui, D., Zhou, H., Wu, D., Pan, S., et al., 2022. Co-hydrothermal carbonization of organic solid wastes to hydrochar as potential fuel: a review. Science of the Total Environment 850: 158034. 10.1016/j.scitotenv.2022.158034

Wang, Y.-S., Lou, Z.-P., Sun, C.-C. and Sun, S., 2008. Ecological environment changes in Daya Bay, China, from 1982 to 2004. Marine Pollution Bulletin 56(11): 1871–1879. 10.1016/j.marpolbul.2008.07.017

Wang, Z., Li, Y. and Luo, J., 2020. Spatio-temporal evolution of habitat quality in the Nenjiang River Basin, Northeast China. Environmental Ecology 2: 8–12.

Wanghe, K., Guo, X., Ahmad, S., Tian, F., Nabi, G., Strelnikov, I.I., et al., 2022. FRESF model: An ArcGIS toolbox for rapid assessment of the supply, demand, and flow of flood regulation ecosystem services. Ecological Indicators 143: 109264. 10.1016/j.ecolind.2022.109264

Wilson, M.C., Chen, X.-Y., Corlett, R.T., Didham, R.K., Ding, P., Holt, R.D., et al., 2016. Habitat fragmentation and biodiversity conservation: key findings and future challenges. Landscape Ecology 31: 219–227. 10.1007/s10980-015-0312-3

Wu, X., Liu, Z., Yin, L., Zheng, W., Song, L., Tian, J., et al., 2021. A haze prediction model in Chengdu based on LSTM. Atmosphere 12: 1479. 10.3390/atmos12111479

Xiuping, G. and Qinghai, G., 2016. Soil pollution action plan and soil pollution control. Ecological Economy 32: 4–12.

Xu, J., Lan, W., Ren, C., Zhou, X., Wang, S. and Yuan, J., 2021. Modeling of coupled transfer of water, heat and solute in saline loess considering sodium sulfate crystallization. Cold Regions Science and Technology 189: 103335. 10.1016/J.COLDREGIONS.2021.103335

Yang, J.-R., Wang, Y., Chen, H. and Lyu, Y.-K., 2019. Ammonium removal characteristics of an acid-resistant bacterium Acinetobacter sp. JR1 from pharmaceutical wastewater capable of heterotrophic nitrification-aerobic denitrification. Bioresource Technology 274: 56–64. 10.1016/j.biortech.2018.10.052

Yang, Y., Li, T., Wang, Y., Cheng, H., Chang, S.X., Liang, C., et al., 2021. Negative effects of multiple global change factors on soil microbial diversity. Soil Biology and Biochemistry 156: 108229. 10.1016/j.soilbio.2021.108229

Yaqian, C., Li, Z., Jinyuan, T. and Zhang, P., 2020. Habitat quality evaluation before and after unused land development based on InVEST model: a case study of Tang County. Chinese Journal of Eco-Agriculture 28(7): 1093–1102. 10.13930/j.cnki.cjea.190862

Yin, L., Wang, L., Huang, W., Liu, S., Yang, B. and Zheng, W., 2021. Spatiotemporal analysis of haze in Beijing based on the multi-convolution model. Atmosphere 12: 1408. 10.3390/atmos12111408

Yin, L., Wang, L., Zheng, W., Ge, L., Tian, J., Liu, Y., et al., 2022. Evaluation of empirical atmospheric models using Swarm-C satellite data. Atmosphere 13: 294. 10.3390/atmos13020294

Yingming, L., 2004. Shanxi rivers. Science Press 5: 25–35.

Yong, Z., 2021. The action plan for prevention and treatment of water pollution to control water pollution. Journal of Water Process Engineering 25: 125–135.

Yuyang, C., Yang, G. and Zhen, X., 2021. Spatiotemporal evolution and spatial correlation of habitat quality and landscape pattern over Beijing-Tianjin-Hebei region. Chinese Environmental Science 41: 848–859.

Zhang, H., Wu, F., Zhang, Y., Han, S. and Liu, Y., 2019a. Spatial and temporal changes of habitat quality in Jiangsu Yancheng Wetland National Nature Reserve—Rare birds of China. Applied Ecology and Environmental Research 17: 4807–4821. 10.15666/aeer/1702_48074821

Zhang, K., Wang, S., Bao, H. and Zhao, X., 2019b. Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China. Natural Hazards and Earth System Sciences 19: 93–105. 10.5194/nhess-19-93-2019

Zhang, X., Ma, F., Dai, Z., Wang, J., Chen, L., Ling, H., et al., 2022a. Radionuclide transport in multi-scale fractured rocks: a review. Journal of Hazardous Materials 424: 127550. 10.1016/j.jhazmat.2021.127550

Zhang, X., Ma, F., Yin, S., Wallace, C.D., Soltanian, M.R., Dai, Z., et al., 2021. Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review. Applied Energy 303: 117603. 10.1016/j.apenergy.2021.117603

Zhang, X., Zhou, J., Li, G., Chen, C., Li, M. and Luo, J., 2020. Spatial pattern reconstruction of regional habitat quality based on the simulation of land use changes from 1975 to 2010. Journal of Geographical Sciences 30(4): 601–620. 10.1007/s11442-020-1745-4

Zhang, Y., Zhang, C., Zhang, X., Wang, X., Liu, T., Li, Z., et al., 2022b. Habitat quality assessment and ecological risks prediction: an analysis in the Beijing–Hangzhou Grand Canal (Suzhou section). Water 14: 2602. 10.3390/w14172602

Zhao, S., Fan, W. and Yu, N., 2020. Analysis of annual precipitation in the Dongzhi tableland based on wavelet and MK tests. Journal of Hebei University of Technology 37: 7–12. 10.3969/j.issn.1673-9469.2020.01.014

Zhao, S., Li, H., Wang, B., Yang, X., Peng, Y., Du, H., et al., 2022. Recent advances on syngas conversion targeting light olefins. Fuel 321(2): 124124. 10.1016/j.fuel.2022.124124

Zhao, T., Shi, J., Entekhabi, D., Jackson, T.J., Hu, L., Peng, Z., et al., 2021. Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm. Remote Sensing of Environment 257: 112321. 10.1016/j.rse.2021.112321