Ecosystem Assessment

Use a Spatial Analysis Model to Assess Habitat Quality in Lashihai Watershed

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  • School of Environment and Nature Resources, Renmin University of China, Beijing 100872, China

Received date: 2018-03-20

  Revised date: 2018-07-31

  Online published: 2018-11-30

Supported by

Supported by fund for building world-class universities (disciplines) of Renmin University of China (2018).

Abstract

Habitat quality assessments are of great significance for protecting biodiversity. This study analyzes the changing habitat quality of Lashihai watershed based on SPOT satellite images. We extracted the land use data for Lashihai watershed in Yunnan province for the years 2000 and 2015, and then used an InVEST model to evaluate habitat degradation, habitat quality and habitat scarcity in the study area from 2000 to 2015. Spatial statistical methods were used to determine changes to spatial dynamics. Results indicate that the number of areas with habitat degradation was generally small, and that both the number of areas with habitat degradation and the degree of degradation had fallen noticeably during the fifteen-year study period. In general, the quality of habitats was maintained or improved, while the quality of habitats decreased in only a few areas. The scarcity of habitats for cultivated land had increased, the tension between people and land use was relatively prominent. The reason habitat quality in Lashihai watershed has improved can be attributed to three factors: 1) The policy of returning farmland to forests since 2000 has been well implemented and has achieved remarkable results. Loss of forests from logging and deforestation has basically been eliminated, and great progress has been made restoring the ecological environment. 2) High background value of quality habitat suitability benefits from the research area’s high vegetation coverage. 3) The development of the local tourism economy has transformed the area’s ecological advantages into an economic bonus, greatly increasing the income level and living standards of residents. At the same time, the ecological resource bonus has increased the enthusiasm of residents for ecological protection and has helped to promote the protection of local eco-systems, both reducing ecological degradation and improving habitat quality. At the same time, increasing conflicts between land and people should be addressed. Support is needed to promote development of the ecological economy while continuously reducing ecological degradation and further increasing residents’ income. There must be less reliance on industry and less pressure on both land and people, all the while ensuring that the local economy and ecology can more forward together in a sustainable way.

Cite this article

LI Haiping, QI Yanan, QU Yunying . Use a Spatial Analysis Model to Assess Habitat Quality in Lashihai Watershed[J]. Journal of Resources and Ecology, 2018 , 9(6) : 622 -631 . DOI: 10.5814/j.issn.1674-764x.2018.06.005

References

[1] Bao Y B, Liu K, Ting L, 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 Research, 32(3): 622-629. (in Chinese)
[2] Delphin S, Escobedo F J, Abd-Elrahman A, et al.2013. Mapping potential carbon and timber losses from hurricanes using a decision tree and ecosystem services driver model.Journal of Environmental Management, 129(18): 599-607.
[3] Dhakal A, Ooba M, Hayashi K.2014. Assessing impacts of forest conversion on terrestrial vertebrates combining forestry cost with HSI and InVEST: case of Toyota city, Japan.International Journal of Biodiversity Science, 10(3): 198-215.
[4] Ferguson, BK.1994. The concept of landscape health.Journal of Environmental Management. 40(2): 129-137.
[5] Fisher B, Turner R K, Burgess N D, et al. 2011.Measuring, modeling and mapping ecosystem services in the Eastern Arc Mountains of Tanzania. Progress in Physical Geography, 35(5): 595-611.
[6] Jia F.2014. InVEST model based ecosystem services evaluation with case study of Ganjiang River basin. China University of Geosciences. (in Chinese)
[7] Li T.2014. The research on InVEST soil conservation model based on LUCC in Danjiang Basin of Qinling Mountain. Northwest University. (in Chinese)
[8] Liu J P, Zhang S, Chen Z W.2008. Effects of human disturbance on wetland birds in the northeast of Sanjiang Plain.Journal of Northeast Forestry University, 36(12): 40-42. (in Chinese)
[9] Nelson E, Mendoza G, Regetz J, et al.2009. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Frontiers in Ecology and the Environment, 7(4): 4-11.
[10] Pan T, Wu S H, Dai E F,et al.2013. Spatiotemporal variation of water source supply service in Three Rivers Source Area of China based on InVEST model.Chinese Journal of Applied Ecology, 24(1): 183-189. (in Chinese)
[11] Smith E R.2000. An overview of EPA’s Regional Vulnerability Assessment (ReVA) program.Environmental Monitoring & Assessment. 64(1): 9-15.
[12] Solon J.1995. Anthropogenic disturbance and vegetation diversity in agricultural landscapes.Landscape & Urban Planning. 31(1): 171-180.
[13] Tallis H, Polasky S.2009. Mapping and valuing ecosystem services as an approach for conservation and natural-resource management.Annals of the New York Academy of Sciences, 1162(1): 265-283.
[14] WU J.2012. Comprehensive ecological assessment of Hainan Bayou Bay based on CA-Markov and InVEST models. University Of Hainan. (in Chinese)
[15] Wu Y Q.2006. Study on ecological environmental quality assessment theory and method. Taiyuan University of Technology. (in Chinses)
[16] Yang Y.2005. The effect and impact of human disturbance on wetland water birds. Zhejiang University. (in Chinese)
[17] Ye W H.1994. Environmental Quality Assessment. Higher Education Press. (in Chinese)
[18] Zhe W U, Chen X, Liu B, et al.2013. Risk Assessment of nitrogen and phosphorus loads in Hainan Island based on InVEST model.Chinese Journal of Tropical Crops, 34(9): 1791-1797. (in Chinese)
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