Advertisement

Journal of Coastal Conservation

, Volume 21, Issue 1, pp 177–188 | Cite as

Two comparative approaches to identify the conservation priority areas impacted by heavy metals on Yellow Sea coasts

  • Ning Li
  • Wen Yang
  • Lingqian Xu
  • Xiaobo Jia
  • Shuqing An
  • Shubo Fang
Article

Abstract

This study aimed to develop a practical approach to identify the priority areas with ecological significance along highly human disturbed coastal areas. Field surveys were used to assess and complement to the results of the remote sensing (RS)-based analysis. The RS-based biodiversity hotspot (BH) identification process was accomplished in three steps. The lands with native vegetation cover, including the national natural reserve lands, were first selected as the baseline BHs (BBHs). Then, after assigning resistance coefficients to each land use, the least accumulative cost (LAC) of the BBHs was calculated by distance analysis, while the normalized differential vegetation index (NDVI) from the Landsat Thematic Mapper was reclassified into 20 grades based on the Euclidean distance to the main anthropogenic sources. Finally, the RS-based BH identification was realized through the logistic calculation of LAC less than a series of thresholds and NDVI more than 10. While the field survey-based BH identification was through the logistic calculation between HM potential ecological risks of low to moderate and BHs acquired by NDVI-based integrated assessments. The results proved that RS-based analysis could be an important surrogate for necessary field surveys to manage BHs along coasts.

Keywords

NDVI Biodiversity hotspots Distance analysis Band collection statistics Heavy metal 

Notes

Acknowledgement

This work is supported by the National 973 Key Project of Basic Science Research (no. 2012CB430400), the Natural Scientific Foundation of China (no. 41101172, 41201179), and Shanghai Universities First-class Disciplines Project of Fisheries.

References

  1. Acosta A, Carranza ML, Izzi CF (2009) Are there habitats that contribute best to plant species diversity in coastal dunes? Biodivers Conserv 18:1087-1098Google Scholar
  2. An S et al (2007) China's natural wetlands: past problems, current status, and future challenges. Ambio J Human Environ 36:335–342CrossRefGoogle Scholar
  3. Aydin S, Kucuksezgin F (2012) Distribution and chemical speciation of heavy metals in the surficial sediments of the Bakırçay and Gediz Rivers, Eastern Aegean. Environ Earth Sci 65:789–803CrossRefGoogle Scholar
  4. Balletto E, Bonelli S, Borghesio L, Casale A, Brandmayr P, Taglianti AV (2010) Hotspots of biodiversity and conservation priorities: A methodological approach. Ital J Zool 77:2–13CrossRefGoogle Scholar
  5. Bo M, Wang X, Liu X, Wang Z (2011) GIS analysis of the spatial relationship between plateau pika burrow dis-tribution and vegetation distributional patterns. Biodivers Sci 19:71–78CrossRefGoogle Scholar
  6. Broadbent EN, Asner GP, Peña-Claros M, Palace M, Soriano M (2008) Spatial partitioning of biomass and diversity in a lowland Bolivian forest: linking field and remote sensing measurements. Forest Ecol Manage 255:2602–2616CrossRefGoogle Scholar
  7. Brucet S, Poikane S, Lyche-Solheim A, Birk S (2013) Biological assessment of European lakes: ecological rationale and human impacts. Freshw Biol 58:1106–1115CrossRefGoogle Scholar
  8. Buchanan GM, Nelson A, Mayaux P, Hartley A, Donald PF (2009) Delivering a Global, Terrestrial, Biodiversity Observation System through Remote Sensing. Conserv Biol 23:499–502CrossRefGoogle Scholar
  9. Chandrasekaran S (2007) Biodiversity hotspots: Defining the indefinable? Curr Sci 92:1344–1345Google Scholar
  10. Christensen JR, Nash MS, Neale A (2013) Identifying riparian buffer effects on stream nitrogen in Southeastern coastal plain watersheds. Environ Manage 52(5):1161-1176Google Scholar
  11. Cooper MI, Plessis MA, Du (1998) Biodiversity hotspots in the developing world. Trends Ecol Evol 13:409CrossRefGoogle Scholar
  12. Delgado J, Barba-Brioso C, Nieto JM, Boski T (2011) Speciation and ecological risk of toxic elements in estuarine sediments affected by multiple anthropogenic contributions (Guadiana saltmarshes, SW Iberian Peninsula): I. Surficial sediments. Sci Total Environ 409:3666–3679CrossRefGoogle Scholar
  13. Deng HG, Zhang J, Wang DQ, Chen ZL, Xu SY (2010) Heavy metal pollution and assessment of the tidal flat sediments near the coastal sewage outfalls of shanghai, China. Environ Earth Sci 60:57–63CrossRefGoogle Scholar
  14. Ewers RM, Didham RK, Wratten SD, Tylianakis JM (2005) Remotely sensed landscape heterogeneity as a rapid tool for assessing local biodiversity value in a highly modified New Zealand landscape. Biodivers Conserv 14:1469–1485CrossRefGoogle Scholar
  15. Fa-neng YIN, Xue-lei W (2010) Ecological Landscape Planning of the Four-Lake Basin Based on Accumulative Minimum Resistance Model. J Huazhong Agri Univ 29:231–235Google Scholar
  16. Fang SB, Zhang XS, Jia XB, An SQ, Zhou CF, Xu C (2009) Evaluation of potential habitat with an integrated analysis of a spatial conservation strategy for David's deer, Elaphurus davidians. Environ Monit Assess 150:455–468CrossRefGoogle Scholar
  17. Fang SB, Xu C, Jia XB, Wang BZ, An SQ (2010) Using heavy metals to detect the human disturbances spatial scale on Chinese Yellow Sea coasts with an integrated analysis. J Hazard Mater 184:375–385CrossRefGoogle Scholar
  18. Fang SB, Jia XB, Yang XY, Li YD, An SQ (2012) A method of identifying priority spatial patterns for the management of potential ecological risks posed by heavy metals. J Hazard Mater 237–238:290–298Google Scholar
  19. Fang S, Pang H, Zheng Z (2013) Integrating Landuse with Heavy Metals as Indicators of anthropogenic Disturbances on Chinese Yellow Sea Coast. World Acad Publish 3:9–18Google Scholar
  20. Fox NJ, Beckley LE (2005) Priority areas for conservation of Western Australian coastal fishes: a comparison of hotspot, biogeographical and complementarity approaches. Biol Conserv 125:399-410Google Scholar
  21. Gjerde I, Sætersdal M, Blom HH (2007) Complementary Hotspot Inventory – A method for identification of important areas for biodiversity at the forest stand level. Biol Conserv 137:549–557CrossRefGoogle Scholar
  22. Hakanson L (1980) An ecological risk index for aquatic pollution control.a sedimentological approach. Water Res 14:975–1001CrossRefGoogle Scholar
  23. Kachelriess D, Wegmann M, Gollock M, Pettorelli N (2014) The application of remote sensing for marine protected area management. Ecol Indic 36:169–177CrossRefGoogle Scholar
  24. Kim J, Shin JR, Koo TH (2009) Heavy metal distribution in some wild birds from Korea. Arch Environ Con Tox 56:317-324Google Scholar
  25. Kumar TS, Mahendra RS, Nayak S, Radhakrishnan K, Sahu KC (2012) Identification of hot spots and well managed areas of Pichavaram mangrove using Landsat TM and Resourcesat-1 LISS IV: An example of coastal resource conservation along Tamil Nadu Coast, India. J Coast Conserv 16:1–12CrossRefGoogle Scholar
  26. Lascelles BG, Langham GM, Ronconi RA, Reid JB (2012) From hotspots to site protection: Identifying Marine Protected Areas for seabirds around the globe. Biol Conserv 156:5–14CrossRefGoogle Scholar
  27. Leroux SJ, Kerr JT (2013) Land Development in and around Protected Areas at the Wilderness. Frontier Focus Autism Other Develop Disabilities 20:213–222Google Scholar
  28. Lück-Vogel M, O’Farrell PJ, Roberts W (2013) Remote sensing based ecosystem state assessment in the Sandveld Region, South Africa. Ecol Indic 33:60–70CrossRefGoogle Scholar
  29. Manfred L, Amanda L, Asaph WC, Moira W (2009) Effects of Land Use on Threatened Species. Conserv Biol J Soc Conserv Biol 23:294–306CrossRefGoogle Scholar
  30. Mcwethy DB et al (2013) A conceptual framework for predicting temperate ecosystem sensitivity to human impacts on fire regimes. Glob Ecol Biogeogr 22:900–912CrossRefGoogle Scholar
  31. Myers N (1988) Threatened biotas: "Hot spots" in tropical forests. Environmentalist 8:187–208CrossRefGoogle Scholar
  32. Myers N (1990) The biodiversity challenge: Expanded hot-spots analysis. Environmentalist 10:243–256CrossRefGoogle Scholar
  33. Myers N (2003) Conservation of biodiversity: How are we doing? Environmentalist 23:9–15CrossRefGoogle Scholar
  34. Myers N, ., Mittermeier RA, Mittermeier CG, Fonseca GA, Da, Kent J,. (2000) Biodiversity hotspots for conservation priorities. Nature 403:853-858CrossRefGoogle Scholar
  35. Newton A, Carruthers TJB, Icely J (2012) The coastal syndromes and hotspots on the coast. Estuar Coast Shelf Sci 96:39–47CrossRefGoogle Scholar
  36. Pan K, Wang WX (2012) Trace metal contamination in estuarine and coastal environments in China. Science of the Total Environment 421–422:3–16Google Scholar
  37. Pascual LL, Luigi M, Alessandra F, Emilio B, Luigi B (2011) Hotspots of species richness, threat and endemism for terrestrial vertebrates in SW Europe. Acta Oecol 37:399–412CrossRefGoogle Scholar
  38. Reese DC, Brodeur RD (2006) Identifying and characterizing biological hotspots in the northern California. Current Deep Sea Res Part II Topical Studies Oceanography 53:291–314CrossRefGoogle Scholar
  39. Reid WV (1998) Biodiversity hotspots. Trends Ecol Evol 13:275–280CrossRefGoogle Scholar
  40. Shi H, Singh A (2002) An assessment of biodiversity hotspots using remote sensing and GIS. J Indian Soc Remote Sensing 30:105–112CrossRefGoogle Scholar
  41. Stankovic S, Jovic J (2012) Health risks of heavy metals in the mediterranean mussels as seafood. Environ Chem Lett 10:119-130Google Scholar
  42. Svancara LK, Scott JM, Loveland TR, Pidgorna AB (2009) Assessing the landscape context and conversion risk of protected areas using satellite data products. Remote Sens Environ 113:1357–1369CrossRefGoogle Scholar
  43. Tian Z, Fang SB, Yin CS, Zhang YJ, Shu-Qing AN, Cheng H (2013) Evaluation of spatial correlation between landscape pattern changes and heavy metals spatial interpolation analysis along Yancheng coast. J Shanghai Ocean Univ 22:912–921Google Scholar
  44. Veech JA (2003) Incorporating socioeconomic factors into the analysis of biodiversity hotspots. Appl Geogr 23:73–88CrossRefGoogle Scholar
  45. Wang XH, Zou XQ, Wen-Jin YU (2007) Heavy metal contamination in coastal sediments of Wanggang, Jiangsu Province. J Agro-Environ SciGoogle Scholar
  46. Weber G, Robaye G, Delbrouck JM, Roelandts I, Dideberg O, Bartsch P, Pauw MCD (2009) Avian conservation priorities in a top-ranked biodiversity hotspot. Biol Conserv 143:992–998Google Scholar
  47. Wiens J et al (2009) Selecting and conserving lands for biodiversity: The role of remote sensing. Remote Sens Environ 113:1370–1381CrossRefGoogle Scholar
  48. Xu C, Sheng S, Zhou W, Cui L, Liu M (2011) Characterizing wetland change at landscape scale in Jiangsu Province, China. Environ Monit Assess 179:279–292CrossRefGoogle Scholar
  49. Xue D Y (2001) Assessmen of biodiversity hot-spots in Yancheng marshes, Jiangsu Province, China, Project of Wetland Biodiversity Conservation and Sustainable Use in ChinaGoogle Scholar
  50. Yu K (1996) Security patterns and surface model in landscape ecological planning. Landsc Urban Plan 36:1–17CrossRefGoogle Scholar
  51. Zaharescu DG, Hooda PS, Soler AP, Javier F, Burghelea CI (2009) Trace metals and their source in the catchment of the high altitude Lake Respomuso, Central Pyrenees. Sci Total Environ 407:3546–3553CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Ning Li
    • 1
  • Wen Yang
    • 1
  • Lingqian Xu
    • 1
  • Xiaobo Jia
    • 1
  • Shuqing An
    • 1
  • Shubo Fang
    • 2
  1. 1.School of Life Science and Institute of Wetland EcologyNanjing UniversityNanjingPeople’s Republic of China
  2. 2.Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, Ministry of EducationShanghai Ocean UniversityShanghaiPeople’s Republic of China

Personalised recommendations