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Cite this paper: |
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ESCOBAR Luis E., ROMERO-ALVAREZ Daniel, LARKIN Daniel J., PHELPS Nicholas B. D.. Network analysis to inform invasive species spread among lakes[J]. Journal of Oceanology and Limnology, 2019, 37(3): 1037-1041 |
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Network analysis to inform invasive species spread among lakes |
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| ESCOBAR Luis E.1, ROMERO-ALVAREZ Daniel2, LARKIN Daniel J.3,4, PHELPS Nicholas B. D.3,4 |
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1 Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, Virginia, USA;
2 Department of Ecology and Evolutionary Biology-Biodiversity Institute, University of Kansas, Lawrence, USA;
3 Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, Minnesota, USA;
4 Minnesota Aquatic Invasive Species Research Center, University of Minnesota, St. Paul, Minnesota, USA |
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| Abstract: |
| Often facilitated by human-mediated pathways, aquatic invasive species are a threat to the health and biodiversity of global ecosystems. We present a novel approach incorporating survey data of watercraft movement in a social network analysis to reconstruct potential pathways of aquatic invasive species spread between lakes. As an example, we use the green alga Nitellopsis obtusa, also known as starry stonewort, an aquatic invasive species affecting the Great Lakes region in the United States and Canada. The movement of algal fragments via human-mediated pathways (i.e., watercraft) has been hypothesized as the primary driver of starry stonewort invasion. We used survey data collected at boat ramps during the 2013 and 2014 openwater seasons to describe the flow of watercraft from Lake Koronis, where N. obtusa was first detected in Minnesota, to other lakes in the state. Our results suggest that the risk of N. obtusa expansion is not highly constrained by geographic proximity and management efforts should consider highly connected lakes. Estimating human movement via network analysis may help to explain past and future routes of aquatic invasive species infestation between lakes and can improve evidence-based prevention and control efforts. |
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| Key words:
Nitellopsis obtusa|starry stonewort|lake|network|invasion
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| Received: 2017-08-10 Revised: 2017-10-30 |
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References:
Brainard A S, Schulz K L. 2017. Impacts of the cryptic macroalgal invader, Nitellopsis obtusa, on macrophyte communities. Freshwater Science, 36(1):55-62.
Brockmann D, Helbing D. 2013. The hidden geometry of complex, network-driven contagion phenomena. Science, 342(6164):1 337-1 342.
DNR M. 2015. DNR taking further steps to reduce risk of starry stonewort spread. http://news.dnr.state.mn.us/2015/10/02/dnr-taking-further-steps-to-reduce-risk-ofstarry-stonewort-spread/. Accessed on 2016-01-11.
Geis J W, Schumacher G J, Raynal D J, Hyduke N P. 1981.Distribution of Nitellopsis obtusa (charophyceae, Characeae) in the St Lawrence river:a new record for North America. Phycologia, 20(2):211-214.
Hackett R, Caron J, Monfils A. 2014. Status and strategy for starry stonewort (Nitellopsis obtusa (Desv. in Loisel.) J.Groves) management. http://www.michigan.gov/documents/deq/wrd-ais-nitellopsis-obtusastrategy_499687_7.pdf. Accessed on 2016-01-12.
HELCOM. 2013. Baltic marine environment protection commission-helsinki commission. Red list Nitellopsis obtusa. http://www.helcom.fi/Red List Species Information Sheet/HELCOM Red List Nitellopsis obtusa.pdf#search=Nitellopsis Obtusa.
Joint Nature Conservation Committee. 2010.UK priority species pages-Version 2. http://jncc.defra.gov.uk/_speciespages/474.pdf. Accessed on 2016-01-08.
Kato S, Kawai H, Takimoto M, Suga H, Yohda K, Horiya K, Higuchi S, Sakayama H. 2014. Occurrence of the endangered species Nitellopsis obtusa (Charales, Charophyceae) in western Japan and the genetic differences within and among Japanese populations.Phycological Research, 62(3):222-227.
Keller R P, Drake J M, Drew M B, Lodge D M. 2011. Linking environmental conditions and ship movements to estimate invasive species transport across the global shipping network. Diversity and Distributions, 171(1):93-102.
Lockwood J L, Hoopes M F, Marchetti M P. 2007. Invasion Ecology. Wiley-Blackwell, Malden.
Midwood J D D, Darwin A, Ho Z Y, Rokitnicki-Wojcik D, Grabas G. 2016. Environmental factors associated with the distribution of non-native starry stonewort (Nitellopsis obtusa) in a Lake Ontario coastal wetland. Journal of Great Lakes Research, 42(2):348-355.
MISIN. 2015. Midwest invasive species information network.http://www.misin.msu.edu/. Accessed on 2016-01-09.
MNDNR. 2018. Infested waters list. https://www.dnr.state.mn.us/invasives/ais/infested.html. Accessed on 2018-03-04.
NASA, USGS. 2014. Data pool. https://lpdaac.usgs.gov/data_access/data_pool. Accessed on 2013-11-11.
Pullman G D, Crawford G. 2010.A decade of starry stonewort in Michigan. LakeLine Summer, 30:36-42.
Sleith R S, Havens A J, Stewart R A, Karol K G. 2015.Distribution of Nitellopsis obtusa (Characeae) in New York, U.S.A. Brittonia, 67(2):166-172.
Strayer D L. 2009. Twenty years of zebra mussels:lessons from the mollusk that made headlines. Frontiers in Ecology and the Environment, 7(3):135-141.
VanderWaal K L, Picasso C, Enns E A, Craft M E, Alvarez J, Fernandez F, Gil A, Perez A, Wells S. 2016. Network analysis of cattle movements in Uruguay:quantifying heterogeneity for risk-based disease surveillance and control. Preventive Veterinary Medicine, 123:12-22.
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