Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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The biodiversity representation assessment in South Korea's protected area network

보호지역 관리를 위한 생물다양성 평가

  • Choe, Hye-Yeong (Department of Ecological Landscape Architecture Design, Kangwon National University) ;
  • James H., Thorne (University of California Davis, Dept. Environmental Science & Policy) ;
  • Joo, Woo-Yeong (Division of Ecological Assessment Research, National Institute of Ecology) ;
  • Kwon, Hyuk-Soo (Division of Ecological Assessment Research, National Institute of Ecology)
  • 최혜영 (강원대학교 생태조경디자인학과) ;
  • ;
  • 주우영 (국립생태원 생태평가연구실) ;
  • 권혁수 (국립생태원 생태평가연구실)
  • Received : 2019.12.30
  • Accepted : 2020.02.18
  • Published : 2020.02.28
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Abstract

National parks and other protected areas often do not adequately protect national biodiversity because they were originally created for socio-economic and/or aesthetic values. The Korean government has committed to expanding the extent of protected areas to fulfill its commitments to the Aichi Biodiversity Convention. To do so, it is necessary to quantify the current levels of biodiversity representation within existing protected areas and to identify additional conservation needs for vulnerable species and ecological systems. In this study, we assess the proportion of species ranges found in South Korea's protected areas, for the species documented in the 3rd National Ecosystem Survey. We modeled the range distribution of 3,645 species in the following taxonomic groups; plants (1,545 species), mammals (35), birds (132), herptiles (35), and insects (1,898) using the MaxEnt species distribution model and calculated how much of each species' range is within protected areas. On average, 17.4% of plant species' ranges are represented in protected areas, while for mammals and insects an average 12.0% is currently conserved. Conservation representation for herptiles averages 9.3%, while it is 8.6% for birds. Although large proportions of species that have restricted distributions should be represented in protected areas, 17 plant species, two insects (Parnassius bremeri and Lasioglossum occidens), and one bird species (Phylloscopus inornatus) with ranges smaller than 1,000 ㎢ have less than 10% of their ranges within protected areas. Establishing specific conservation goals such as the protection of endangered species or vulnerable taxonomic groups will increase the efficiency of the biodiversity conservation strategies. In addition, lowland coastal areas are critical for biodiversity conservation because the protected areas in South Korea are mainly composed of high mountainous areas.

Keywords

References

  1. Amano T. Szekely T. Koyama K. Amano H and Sutherland WJ. 2010. A framework for monitoring the status of populations: an example from wader populations in the East Asian-Australasian flyway. Biological Conservation 143(9) : 2238-2247. https://doi.org/10.1016/j.biocon.2010.06.010
  2. Aguirre-Gutierrez J. Carvalheiro LG. Polce C. van Loon EE. Raes N. Reemer M and Biesmeijer JC. 2013. Fit-for-purpose: species distribution model performance depends on evaluation criteria-Dutch hoverflies as a case study. PloS one 8(5) : e63708. https://doi.org/10.1371/journal.pone.0063708
  3. Busby JR. 1991. BIOCLIM - A bioclimatic analysis and prediction system. Nature Conservation: Cost Effective Biological Surveys and Data Analysis (eds C.R. Margules & M.P. Austin), pp. 64-68. CSIRO, Canberra, Australia.
  4. Choe H and Thorne JH. 2017. Integrating climate change and land use impacts to explore forest conservation policy. Forests 8(9) : 321. https://doi.org/10.3390/f8090321
  5. Choe H. Thorne JH. Hijmans R and Seo C. 2019. Integrating the Rabinowitz rarity framework with a National Plant Inventory in South Korea. Ecology and Evolution 9 : 1353-1363. https://doi.org/10.1002/ece3.4851
  6. Choe H. Thorne JH. Huber PR. Lee D and Quinn JF. 2018. Assessing shortfalls and complementary conservation areas for national plant biodiversity in South Korea. PloS one 13(2) : e0190754. https://doi.org/10.1371/journal.pone.0190754
  7. Choe H. Thorne JH and Seo C. 2016. Mapping national plant biodiversity patterns in South Korea with the MARS species distribution model. PloS one 11(3) : e0149511. https://doi.org/10.1371/journal.pone.0149511
  8. Chung K. Gye M and Song J. 2000. Herpetofauna Biodiversity of Chin-Do. Korean Journal of Environmental Biology 18(1) : 113-120. (in Korean with English summary)
  9. Convention on Biological Diversity. 2010. Strategic Plan for Biodiversity 2011-2020 and the Aichi Targets.
  10. Dudley N and Stolton S. 2008. Defining protected areas: an international conference in Almeria, Spain. Gland, Switzerland: IUCN.
  11. Elith J. Graham CH. Anderson RP. Dudik M. Ferrier S. Guisan A. Hijmans RJ. Huettmann F. Leathwick JR. Lehmann A. Li J. Lohmann LG. Loiselle BA. Manion G. Moritz C. Nakamura M. Nakazawa Y. Overton JM. Peterson AT. Phillips SJ. Richardson K. Scachetti-Pereira R. Schapire RE. Soberon J. Williams S. Wisz MS and Zimmermann NE. 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29(2) : 129-151. https://doi.org/10.1111/j.2006.0906-7590.04596.x
  12. FAO. IIASA. ISRIC. ISSCAS and JRC. 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
  13. Fielding AH and Bell JF. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24(1) : 38-49. https://doi.org/10.1017/S0376892997000088
  14. Franklin J. 2010. Mapping Species Distributions : Spatial Inference and Prediction, Cambridge; New York, Cambridge; New York : Cambridge University Press.
  15. Game ET. Lipsett-Moore G. Saxon E. Peterson N and Sheppard S. 2011. Incorporating climate change adaptation into national conservation assessments. Global Change Biology 17(10) : 3150-3160. https://doi.org/10.1111/j.1365-2486.2011.02457.x
  16. GEO BON. 2015. Global Biodiversity Change Indicators. Version 1.2. Group on Earth Observations Biodiversity Observation Network Secretariat. Leipzig.
  17. Guisan A. Thuiller W and Zimmermann N. 2017. Habitat Suitability and Distribution Models: With Applications in R. Cambridge: Cambridge University Press.
  18. Hernandez PA. Graham CH. Master LL and Albert DL. 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29(5) : 773-785. https://doi.org/10.1111/j.0906-7590.2006.04700.x
  19. Hijmans RJ. 2012. Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model. Ecology 93(3) : 679-688. https://doi.org/10.1890/11-0826.1
  20. Hijmans RJ. Cameron SE. Parra JL. Jones PG and Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology: A Journal of the Royal Meteorological Society 25(15) : 1965-1978. https://doi.org/10.1002/joc.1276
  21. Hong JP. 2018. Evaluating Quantitative Expansion Goals of the National Protected Areas Integrated System. Journal of Korean Environmental Restoration Technology. 21(3) : 57-65. (in Korean with English summary)
  22. Hong JP. Shim YJ and Heo HY. 2017a. A Study on Aichi Biodiversity Target 11. Journal of Korean Environmental Restoration Technology. 20(5) : 43-58. (in Korean with English summary)
  23. Hong JP. Shim YJ and Heo HY. 2017b. Identifying Other Effective Area-based Conservation Measures for Expanding National Protected Areas. 20(6) : 93-105. (in Korean with English summary)
  24. Lee SJ. Lee HW. Kim CK. Hong HJ. Kim SY. Kang KR and Kim BH. 2015. Strategy and Measures to Enlarge the Protected Area in Korea. Research report to Korea Environment Institute. (in Korean with English summary)
  25. Lee WH and Abdullah SA. 2019. Framework to develop a consolidated index model to evaluate the conservation effectiveness of protected areas. Ecological Indicators 102 : 131-144. https://doi.org/10.1016/j.ecolind.2019.02.034
  26. Moores N. 1999. Survey of the distribution and abundance of shorebirds in south Korea during 1998-1999. The Stilt 34 : 18-23.
  27. Kim G. Kong S. Kim O. Son S and Lee E. 2017. A Strategy on Extracting Terrestrial Protected Areas of the Republic of Korea under the Convention on Biological Diversity. Journal of the Association of Korean Geographers 6(3) : 407-423. (in Korean with English summary) https://doi.org/10.25202/JAKG.6.3.8
  28. Korea National Park Research Institute. 2018. Constructing basic data for the protected areas in Korean Peninsula. NPRI 2018-22. (in Korean)
  29. Kwon H. Kim J and Seo C. 2015. Selecting Protected Area Using Species Richness. Korean Journal of Environment and Ecology 29(1) : 14-20. https://doi.org/10.13047/KJEE.2015.29.1.014
  30. Manzoor SA. Griffiths G and Lukac M. 2018. Species distribution model transferability and model grain size-finer may not always be better. Scientific reports 8(1) : 7168. https://doi.org/10.1038/s41598-018-25437-1
  31. Ministry of Environment. 2018. Fourth National Biodiversity Strategies (2019-2023). (in Korean)
  32. Ministry of Environment and National Institute of Environmental Research. 2006. The guidelines for the 3rd national ecosystem surveys. (in Korean)
  33. Nenzen HK and Araujo M. 2011. Choice of threshold alters projections of species range shifts under climate change. Ecological Modelling 222(18) : 3346-3354. https://doi.org/10.1016/j.ecolmodel.2011.07.011
  34. Oldfield TE. Smith RJ. Harrop SR and Leader-Williams N. 2004. A gap analysis of terrestrial protected areas in England and its implications for conservation policy. Biological Conservation 120(3) : 303-309. https://doi.org/10.1016/j.biocon.2004.03.003
  35. Phillips SJ. Anderson RP and Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190(3-4) : 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
  36. Prendergast JR. Quinn RM. Lawton J. Eversham B and Gibbons D. 1993. Rare species, the coincidence of diversity hotspots and conservation strategies. Nature 365(6444) : 335-337. https://doi.org/10.1038/365335a0
  37. Pressey RL. 1994. Ad hoc reservations: forward or backward steps in developing representative reserve systems? Conservation Biology 8(3) : 662-668. https://doi.org/10.1046/j.1523-1739.1994.08030662.x
  38. Rodrigues AS. Akcakaya HR. Andelman SJ. Bakarr MI. Boitani L. Brooks TM. Chanson JS. Fishpool LD. Da Fonseca GA and Gaston KJ. 2004. Global gap analysis: priority regions for expanding the global protected-area network. Bioscience 54(12) : 1092-1100. https://doi.org/10.1641/0006-3568(2004)054[1092:GGAPRF]2.0.CO;2
  39. Schneider RR and Bayne EM. 2015. Reserve design under climate change: from land facets back to ecosystem representation. PloS one 10(5) : e0126918. https://doi.org/10.1371/journal.pone.0126918
  40. Scott JM. Davis F. Csuti B. Noss R. Butterfield B. Groves C. Anderson H. Caicco S. D'Erchia F and Edwards Jr TC. 1993. Gap analysis: a geographic approach to protection of biological diversity. Wildlife monographs : 3-41. https://doi.org/10.1002/wmon.1039
  41. Shin MS. Seo CW. Lee MW. Kim JY. Jeon JY. Adhikari P and Hong SB. 2018. Prediction of Potential Species Richness of Plants Adaptable to Climate Change in the Korean Peninsula. Journal of Environment Impact Assessment 27(6) : 562-581. (in Korean with English summary)
  42. van Proosdij AS. Sosef MS. Wieringa JJ and Raes N. 2016. Minimum required number of specimen records to develop accurate species distribution models. Ecography 39(6) : 542-552. https://doi.org/10.1111/ecog.01509
  43. Venter O. Fuller RA. Segan DB. Carwardine J . Brooks T. Butchart SH. Di Marco M . Iwamura T. Joseph L and O'Grady D. 2014. Targeting global protected area expansion for imperiled biodiversity. PLoS biology 12(6) : e1001891. https://doi.org/10.1371/journal.pbio.1001891
  44. Watson JE. Dudley N. Segan DB and Hockings M. 2014. The performance and potential of protected areas. Nature 515(7525) : 67-73. https://doi.org/10.1038/nature13947
  45. Wiens JA. Seavy NE and Jongsomjit D. 2011. Protected areas in climate space: What will the future bring? Biological Conservation 144(8) : 2119-2125. https://doi.org/10.1016/j.biocon.2011.05.002
  46. Zellweger F. Roth T. Bugmann H and Bollmann K. 2017. Beta diversity of plants, birds and butterflies is closely associated with climate and habitat structure. Global Ecology and Biogeography 26(8) : 898-906. https://doi.org/10.1111/geb.12598