“DEPSIR-LM” Model-based Study on Shaping of the Eco-security Pattern for Biodiversity — A Case Study of Guangzhou

Ya-Nan Xiang, Huang-Gen Gao, He Huang, Bo Yue, Dan Wang

Ekoloji, 2018, Issue 106, Pages: 203-216, Article No: e106016

OPEN ACCESS

Download Full Text (PDF)

Abstract

High-intensity human socio-economic activities pose a great threat to the ecological environment, thus resulting in the decline of biodiversity in ecologically fragile areas and serious problems over regional eco-security. The regional scale provides a reasonable spatial context for exploring the eco-security of mega-cities or metropolitan areas. However, the existing research lacks a comprehensive understanding of the influencing factors for biodiversity at a regional scale. Therefore, the study on landscape ecological planning represented by the theory of eco-security patterns has become increasingly significant. In this study, the “DPSIR-LM” model at a regional scale is adopted to analyze the positive and negative factors that affect the eco-security of Guangzhou’s biodiversity, and obtain the spatial differentiation result of the eco-security assessment on Guangzhou’s biodiversity. In terms of the conservation of Guangzhou’s biodiversity, an innovative approach is taken to integrate ecological assessment into the construction of the eco-security pattern, so as to propose a novel method to construct the eco-security pattern. First, a holistic study on the urban eco-security pattern is conducted and the eco-security pattern of Guangzhou’s biodiversity is established from the perspectives of government decision-making, socio-economic indicators and data, as well as the science and technology level. Then, the main geographical distribution and its causes are further analyzed to provide a corresponding protection strategy for each security pattern, contributing to the ecological space planning of Guangzhou’s biodiversity conservation. The “DPSIR-LM” model given in this paper enhances the assessment of the positive and negative influences on biodiversity by quantifying the inner differences of the region, and it is more accurate and scientific in source selection, resistance evaluation and result optimization for the pattern construction. The research provides a valuable reference for the study and construction of eco-security patterns at a regional scale.

Keywords

biodiversity, eco-security assessment, construction of the eco-security pattern, the “DPSIR-LM” model

References

  • Beier P, Spencer W, Baldwin RF, et al. (2011) Toward best practices for developing regional connectivity maps. Conserv Biol, 25(5): 879-892. https://doi.org/10.1111/j.1523-1739.2011.01716.x
  • Buren C, Hu Y, Chang Y, et al. (2005) Correlation analysis of landscape indices. Acta Ecologica Sinica, (10): 2764-2775.
  • He L, Jia Q, Li C, et al. (2016) Land use pattern simulation based on ecosystem service value and ecological security pattern. Journal of Agricultural Engineering, (3): 275-284.
  • Huang B, Wei N, Meng W, et al. (2016) Evaluation of marine biodiversity in Changhai area of Liaoning Province based on pressure-state-response model. Biodiversity Biodiversity, 24(1): 48-54.
  • Judith C, Schneider JV, Schmidt M, et al. (2013) Using high-resolution remote sensing data for habitat suitability models of Bromeliaceae in the city of Mérida, Venezuela. 120: 107-118. https://doi.org/10.1016/j.landurbplan.2013.08.012
  • La Rosa D, Privitera R (2013) Characterization of non-urbanized areas for land-use planning of agricultural and green infrastructure in urban contexts. Landscape and Urban Planning, 109(1): 94-106. https://doi.org/10.1016/j.landurbplan.2012.05.012
  • Li G, Wu X-P, Luo Z-L, et al. (2011) Establishment of indicator system for biodiversity assessment in China. Biodiversity Science, (05): 497-504.
  • Li L, Yong Y (2012) According to sketches based on ecological security evaluation index system of basin DPSIR model. Peking University (Natural Science), (06): 971-981.
  • Li P, Chen C, Chen J (2015) Study on the Multi-functional Spatial and Temporal Pattern Changes of Rural Areas and Its Influencing Factors - A Case Study of Jiangsu Province. Geographical Science, 07: 845-851.
  • Li P-X, Chen W, Sun W (2014) Multi-function spatial variability and its influencing factors in rural areas of economically developed areas - A case study of Jiangsu Province. Journal of Geographical Science, 06: 797-807.
  • Liang Y, Xu Z, Zhong F (2011) Analysis of Land Use Scenarios in Ganzhou District of Zhangye City Based on SD and CLUE-S Model. Geographical Research, (03): 564-576.
  • Liu Y, Meng J, Zhu L (2010) Research advances in regional ecological security pattern. Acta Ecologica Sinica, (24): 6980-6989.
  • Netusil NR, Levin Z, Shandas V, et al. (2014) Valuing green infrastructure in Portland, Oregon. Landscape and Urban Planning, 124: 14-21. https://doi.org/10.1016/j.landurbplan.2014.01.002
  • Ng CN, Xie YJ, Yu XJ (2013) Integrating landscape connectivity into the evaluation of ecosystem services for biodiversity conservation and its implications for landscape planning. Applied Geography, 42: 1-12. https://doi.org/10.1016/j.apgeog.2013.04.015
  • Pourebrahim S, Hadipour M, Bin Mokhtar M (2011) Integration of spatial suitability analysis for land use planning in coastal areas; case of Kuala Langat District, Selangor, Malaysia. Landscape and Urban Planning, 101(1): 84-97. https://doi.org/10.1016/j.landurbplan.2011.01.007
  • Sandström UG, Angelstam P, Khakee A (2006) Urban comprehensive planning –identifying barriers for the maintenance of functional habitat networks. Landscape and Urban Planning, 75(1-2): 43-57. https://doi.org/10.1016/j.landurbplan.2004.11.016
  • Schadt S, Knauer F, Kaczensky P, Revilla E, Wiegand T, Trepl L (2002) Rule-based assessment of suitable habitat and patch connectivity for the Eurasian Lynx. Ecological Applications, 12(5): 1469-1483. https://doi.org/10.1890/1051-0761(2002)012[1469:RBAOSH]2.0.CO;2
  • Thuy Trang NT, Shrestha S, Shrestha M, Datta A, Kawasaki A (2016) Evaluating the impacts of climate and land-use change on the hydrology and nutrient yield in a transboundary river basin. Science of the Total Environment, 576: 586-598. https://doi.org/10.1016/j.scitotenv.2016.10.138
  • Villa F, Ceroni M, Mazza A (1996) A GIS-based method for multi-objective evaluation of park vegetation. 35(4): 203-212. https://doi.org/10.1016/S0169-2046(96)00323-4
  • Wang Q, Ruan J, Sha C, et al. (2012) Effects of human activities on the spatial pattern of biodiversity in Shanghai. Chinese Journal of Eco-Environment, (02): 279-285.
  • Wu B, Zhang J, Liu X (2015) Study on Ecological Security Pattern Optimization of Urban Agglomerations Based on Landscape Pattern Index. 2015 Annual Meeting of Landscape Architecture Society. China Building Industry Press, (09).
  • Wu C, Zhou Z, Wang P, et al. (2010) Concepts, metrics and applications of landscape connectivity. Acta Ecologica Sinica, (07): 1903-1910.
  • Xun B, Yu D, Wang X (2017) Prioritizing habitat conservation outside protected areas in rapidly urbanizing landscapes: A patch network approach. Landscape and Urban Planning, 157: 532-541. https://doi.org/10.1016/j.landurbplan.2016.09.013
  • Ye Y, Su Y, Zhang H, et al. (2014) Construction of ecological resistance surface model and its application in urban expansion simulation. Acta Geographica Sinica, 69(4): 485-496.
  • Yu K (1999) Landscape ecological safety pattern of biological protection. Acta Ecologica Sinica, (01): 10-17.
  • Yu K, Li H, Li D, et al. (2009a) Ecological safety pattern at national scale. Journal of Ecology, (10): 5163-5175.
  • Yu K, Wang S, Li D, et al. (2009b) Ecological safety pattern and urban growth prospect in Beijing. Journal of Ecology, (03): 1189-1204.
  • Yue B, Kang S, Jiang C (2014) Study on Approaches of Biodiversity Conservation Planning at Urban-Regional Scale. Journal of Landscape Architecture, (1): 42-46.
  • Zhang J, Yi K, Hiroshi T, et al. (2011) EPSA-based assessment of ecological security in Baishan, Jilin Province. Chinese Journal of Applied Ecology, (01): 189-195.
  • Zhou R (2013) Ecological Security Pattern of Urban Expansion in Rapid Urbanization. City Development Research, (08): 82-87.