Northward expansion trends and future potential distribution of a dragonfly Ischnura senegalensis Rambur under climate change using citizen science data in South Korea

다국어 초록 (Multilingual Abstract)

Background: Citizen science is becoming a mainstream approach of baseline data collection to monitor biodiversity and climate change. Dragonflies (Odonata) have been ranked as the highest priority group in biodiversity monitoring for global warming. Ischnura senegalensis Rambur has been designated a biological indicator of climate change and is being monitored by the citizen science project “Korean Biodiversity Observation Network.” This study has been performed to understand changes in the distribution range of I. senegalensis in response to climate change using citizen science data in South Korea.




Results: We constructed a dataset of 397 distribution records for I. senegalensis, ranging from 1980 to 2020. The number of records sharply increased over time and space, and in particular, citizen science monitoring data accounted for the greatest proportion (58.7%) and covered the widest geographical range. This species was only distributed in the southern provinces until 2010 but was recorded in the higher latitudes such as Gangwon-do, Incheon, Seoul, and Gyeonggi-do (max. Paju-si, 37.70° latitude) by 2020. A species distribution model showed that the annual mean temperature (Bio1; 63.2%) and the maximum temperature of the warmest month (Bio5; 16.7%) were the most critical factors influencing its distribution. Future climate change scenarios have predicted an increase in suitable habitats for this species.




Conclusions: This study is the first to show the northward expansion in the distribution range of I. senegalensis in response to climate warming in South Korea over the past 40 years. In particular, citizen science was crucial in supplying critical baseline data to detect the distribution change toward higher latitudes. Our results provide new insights on the value of citizen science as a tool for detecting the impact of climate change on ecosystems in South Korea.

다국어 초록 (Multilingual Abstract)

Background: Citizen science is becoming a mainstream approach of baseline data collection to monitor biodiversity and climate change. Dragonflies (Odonata) have been ranked as the highest priority group in biodiversity monitoring for global warming. Ischnura senegalensis Rambur has been designated a biological indicator of climate change and is being monitored by the citizen science project “Korean Biodiversity Observation Network.” This study has been performed to understand changes in the distribution range of I. senegalensis in response to climate change using citizen science data in South Korea.


Results: We constructed a dataset of 397 distribution records for I. senegalensis, ranging from 1980 to 2020. The number of records sharply increased over time and space, and in particular, citizen science monitoring data accounted for the greatest proportion (58.7%) and covered the widest geographical range. This species was only distributed in the southern provinces until 2010 but was recorded in the higher latitudes such as Gangwon-do, Incheon, Seoul, and Gyeonggi-do (max. Paju-si, 37.70° latitude) by 2020. A species distribution model showed that the annual mean temperature (Bio1; 63.2%) and the maximum temperature of the warmest month (Bio5; 16.7%) were the most critical factors influencing its distribution. Future climate change scenarios have predicted an increase in suitable habitats for this species.


Conclusions: This study is the first to show the northward expansion in the distribution range of I. senegalensis in response to climate warming in South Korea over the past 40 years. In particular, citizen science was crucial in supplying critical baseline data to detect the distribution change toward higher latitudes. Our results provide new insights on the value of citizen science as a tool for detecting the impact of climate change on ecosystems in South Korea.

참고문헌 (Reference)

1 문준기, "지자체 기후변화 대응을 위한 지역별 기후변화의 특성분석: 장기 관측자료를 중심으로" 한국기후변화학회 11 (11): 755-770, 2020

2 김창회, "우리나라 전국자연환경조사 현황과 발전방안" 한국환경영향평가학회 22 (22): 725-738, 2013

3 박창용, "남한 상세 기후변화 시나리오를 이용한 아열대 기후대 및극한기온사상의 변화에 대한 연구" 한국지역지리학회 19 (19): 600-614, 2013

4 김용석, "기후변화시나리오를 이용한 우리나라의 기후지대 변화 연구" 한국농림기상학회 19 (19): 37-42, 2017

5 Hijmans RJ, "Very high resolution interpolated climate surfaces for global land areas" 25 (25): 1965-1978, 2005

6 Suzuki-Ohno Y, "Utilization of photographs taken by citizens for estimating bumblebee distributions" 7 (7): 11215-, 2017

7 Loarie SR, "The velocity of climate change" 462 (462): 1052-1055, 2009

8 van Vuuren DPV, "The representative concentration pathways : an overview" 109 (109): 5-31, 2011

9 Hassall C, "The effects of environmental warming on Odonata : a review" 11 (11): 131-153, 2008

10 Askew RR, "The dragonflies of Europe" Harley Books 2004

11 Kwon JM, "The distribution of Lycaenid species in Korea according to climate factors" Yeungnam University 2012

12 Dickinson JL, "The current state of citizen science as a tool for ecological research and public engagement" 10 (10): 291-297, 2012

13 Aceves-Bueno E, "The accuracy of citizen science data" 98 (98): 278-290, 2017

14 Sharma G, "The IUCN red list of threatened species 2016: e.T59897A75436136.0"

15 National Institute of Biological Resources, "The Guidebook of Climate Sensitive Biological Indicator Species" Goryeo C&P 2019

16 Suhling F, "Temperature response of growth of larval dragonflies—an overview" 18 (18): 15-30, 2015

17 Yum JW, "Taxonomic review of the Korean Zygoptera(Odonata)" 26 : 41-55, 2010

18 염진화, "Systematics of the zygoptera (odonata, insecta) in Korea" 서울여자대학교 대학원 2001

19 Bird TJ, "Statistical solutions for error and bias in global citizen science datasets" 173 : 144-154, 2014

20 Sangdon Lee, "Spatial Distribution of Butterflies in Accordance with Climate Change in the Korean Peninsula" MDPI AG 12 (12): 1995-, 2020

21 Michael P. Moore, "Sex-specific ornament evolution is a consistent feature of climatic adaptation across space and time in dragonflies" Proceedings of the National Academy of Sciences 118 (118): e2101458118-, 2021

22 Gretta T. Pecl, "Redmap Australia: Challenges and Successes With a Large-Scale Citizen Science-Based Approach to Ecological Monitoring and Community Engagement on Climate Change" Frontiers Media SA 6 : 2019

23 Grewe Y, "Recent range shifts of European dragonflies provide support for an inverse relationship between habitat predictability and dispersal" 22 (22): 403-409, 2013

24 Lee C-M, "Prediction of abundance of forest flies (Diptera) according to climate scenarios RCP 4.5 and RCP 8.5 in South Korea" 2015

25 김미정, "Prediction of Changes in Habitat Distribution of the Alfalfa Weevil (Hypera postica ) Using RCP Climate Change Scenarios" 한국응용곤충학회 57 (57): 127-135, 2018

26 Thapa A, "Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling" 8 (8): 10542-10554, 2018

27 Wang Y, "Predicting the distribution of poorly documented species, Northern black widow(Latrodectus variolus)and Black purse-web spider(Sphodros niger), using museum specimens and citizen science data" 13 (13): e0201094-, 2018

28 La Sorte FA, "Opportunities and challenges for big data ornithology" 120 (120): 414-426, 2018

29 National Institute of Biological Resources, "Operation of the Korea biodiversity observation network (K-BON) with civil participation II-1" National Institute of Biological Resources 2017

30 National Institute of Biological Resources, "Operation of the Korea biodiversity observation network (K-BON) with civil participation (2020)" National Institute of Biological Resources 2020

31 Jung KS, "Odonata of Korea" Ilgongyuksa 2007

32 Kwon TS, "Northward range shifts in Korean butterflies" 126 (126): 163-174, 2014

33 ADHIKARI PRADEEP, "Northward Range Expansion of Southern Butterflies According to Climate Change in South Korea" 한국기후변화학회 11 (11): 643-656, 2020

34 Leach K, "Modelling the influence of biotic factors on species distribution patterns" 337 : 96-106, 2016

35 Roy-Dufresne E, "Modeling the distribution of a wide-ranging invasive species using the sampling efforts of expert and citizen scientists" 9 (9): 11053-11063, 2019

36 Phillips SJ, "Maximum entropy modeling of species geographic distributions" 190 (190): 231-259, 2006

37 Fourcade Y, "Mapping species distributions with MAXENT using a geographically biased sample of presence data : a performance assessment of methods for correcting sampling bias" 9 (9): e97122-, 2014

38 Cerini F, "Long-term shifts in the communities of Odonata : effect of chance or climate change" 16 : 1-6, 2020

39 Lesley T. Lancaster, "Latitudinal shift in thermal niche breadth results from thermal release during a climate-mediated range expansion" Wiley 42 (42): 1953-1963, 2015

40 Ishida S, "Insects' Life in Japan. Vol. 2. Dragonflies" Hoikusha 1969

41 Urban MC, "Improving the forecast for biodiversity under climate change" 353 (353): 2016

42 Ribera I, "Habitat type as a determinant of species range sizes : the example of lotic–lentic differences in aquatic Coleoptera" 71 (71): 33-52, 2000

43 National Institute of Meteorological Sciences, "Global climate change forecast report" National Institute of Meteorological Sciences 2019

44 VanDerWal J, "Focus on poleward shifts in species’ distribution underestimates the fingerprint of climate change" 3 (3): 239-243, 2012

45 Shin Sookyung, "Elevational distribution ranges of vascular plant species in the Baekdudaegan mountain range, South Korea" 한국생태학회 45 (45): 62-71, 2021

46 Ožana S, "Dragonfly Hunter CZ : mobile application for biological species recognition in citizen science" 14 (14): e0210370-, 2019

47 Termaat T, "Distribution trends of European dragonflies under climate change" 25 (25): 936-950, 2019

48 Rapacciuolo G, "Detecting long-term occupancy changes in Californian Odonates from natural history and citizen science records" 26 (26): 2933-2949, 2017

49 Cox J, "Defining and measuring success in online citizen science : a case study of zooniverse projects" 17 (17): 28-41, 2015

50 Wiens JJ, "Climate-related local extinctions are already widespread among plant and animal species" 14 (14): e2001104-, 2016

51 Baker DJ, "Choice of baseline climate data impacts projected species’ responses to climate change" 22 (22): 2392-2404, 2016

52 Pocock MJO, "Chapter six—a vision for global biodiversity monitoring with citizen science" 2018

53 Eva J. Lewandowski, "Butterfly citizen scientists in the United States increase their engagement in conservation" Elsevier BV 208 : 106-112, 2017

54 Byoung-Yoon Lee, "Biological indicators to monitor responses against climate change in Korea" 한국식물분류학회 40 (40): 202-207, 2010

55 Balzan MV, "Associations of dragonflies(Odonata)to habitat variables within the Maltese Islands : a spatiotemporal approach" 12 (12): 1-18, 2012

56 Pacifici M, "Assessing species vulnerability to climate change" 1038-, 2019

57 Fuccillo KK, "Assessing accuracy in citizen science-based plant phenology monitoring" 59 (59): 917-926, 2014

58 Corbet PS, "Are Odonata useful as bioindicators" 12 : 91-102, 1993

59 Lobo JM, "AUC : a misleading measure of the performance of predictive distribution models" 17 (17): 145-151, 2008

60 Hickling R, "A northward shift of range margins in British Odonata" 11 (11): 502-506, 2005

61 Silvertown J, "A new dawn for citizen science" 24 (24): 467-471, 2009

62 Parmesan C, "A globally coherent fingerprint of climate change impacts across natural systems" 421 (421): 37-42, 2003