Major environmental factors and traits of invasive alien plants determining their spatial distribution
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Background: As trade increases, the influx of various alien species and their spread to new regions are prevalent and no longer a special problem. Anthropogenic activities and climate changes have made the distribution of alien species out of their native range common. As a result, alien species can be easily found anywhere, and they have nothing but only a few differences in intensity. The prevalent distribution of alien species adversely affects the ecosystem, and a strategic management plan must be established to control them effectively. To this end, hot spots and cold spots were analyzed according to the degree of distribution of invasive alien plants, and major environmental factors related to hot spots were found. We analyzed the 10,287 distribution points of 126 species of alien plants collected through the national survey of alien species by the hierarchical model of species communities (HMSC) framework. Results: The explanatory and fourfold cross-validation predictive power of the model were 0.91 and 0.75 as AUC values, respectively. The hot spots of invasive plants were found in the Seoul metropolitan area, Daegu metropolitan city, Chungcheongbuk-do Province, southwest shore, and Jeju island. Generally, the hot spots were found where the higher maximum temperature of summer, precipitation of winter, and road density are observed, but temperature seasonality, annual temperature range, precipitation of the summer, and distance to river and sea were negatively related to the hot spots. According to the model, the functional traits accounted for 55% of the variance explained by the environmental factors. The species with higher specific leaf areas were more found where temperature seasonality was low. Taller species preferred the bigger annual temperature range. The heavier seed mass was only preferred when the max temperature of summer exceeded 29 °C. Conclusions: In this study, hot spots were places where 2.1 times more alien plants were distributed on average than non-hot spots (33.5 vs 15.7 species). The hot spots of invasive plants were expected to appear in less stressful climate conditions, such as low fluctuation of temperature and precipitation. Also, the disturbance by anthropogenic factors or water flow had positive influences on the hot spots. These results were consistent with the previous reports about the ruderal or competitive strategies of invasive plants instead of the stress-tolerant strategy. The functional traits are closely related to the ecological strategies of plants by shaping the response of species to various environmental filters, and our result confirmed this. Therefore, in order to effectively control alien plants, it is judged that the occurrence of disturbed sites in which alien plants can grow in large quantities is minimized, and the river management of waterfronts is required.
Abstract
Background: As trade increases, the influx of various alien species and their spread to new regions are prevalent and no longer a special problem. Anthropogenic activities and climate changes have made the distribution of alien species out of their native range common. As a result, alien species can be easily found anywhere, and they have nothing but only a few differences in intensity. The prevalent distribution of alien species adversely affects the ecosystem, and a strategic management plan must be established to control them effectively. To this end, hot spots and cold spots were analyzed according to the degree of distribution of invasive alien plants, and major environmental factors related to hot spots were found. We analyzed the 10,287 distribution points of 126 species of alien plants collected through the national survey of alien species by the hierarchical model of species communities (HMSC) framework. Results: The explanatory and fourfold cross-validation predictive power of the model were 0.91 and 0.75 as AUC values, respectively. The hot spots of invasive plants were found in the Seoul metropolitan area, Daegu metropolitan city, Chungcheongbuk-do Province, southwest shore, and Jeju island. Generally, the hot spots were found where the higher maximum temperature of summer, precipitation of winter, and road density are observed, but temperature seasonality, annual temperature range, precipitation of the summer, and distance to river and sea were negatively related to the hot spots. According to the model, the functional traits accounted for 55% of the variance explained by the environmental factors. The species with higher specific leaf areas were more found where temperature seasonality was low. Taller species preferred the bigger annual temperature range. The heavier seed mass was only preferred when the max temperature of summer exceeded 29 °C. Conclusions: In this study, hot spots were places where 2.1 times more alien plants were distributed on average than non-hot spots (33.5 vs 15.7 species). The hot spots of invasive plants were expected to appear in less stressful climate conditions, such as low fluctuation of temperature and precipitation. Also, the disturbance by anthropogenic factors or water flow had positive influences on the hot spots. These results were consistent with the previous reports about the ruderal or competitive strategies of invasive plants instead of the stress-tolerant strategy. The functional traits are closely related to the ecological strategies of plants by shaping the response of species to various environmental filters, and our result confirmed this. Therefore, in order to effectively control alien plants, it is judged that the occurrence of disturbed sites in which alien plants can grow in large quantities is minimized, and the river management of waterfronts is required.
참고문헌 (51)
- Aan A, , J Ecol, pp.1143~1155 (2006)
- Abrego N, "Measuring and predicting the influence of traits on the assembly processes of wood-inhabiting fungi", J Ecol, 105(4), pp.1070~1081 (2017)[DOI]
- Anselin L, "Local indicators of spatial association—LISA", Geogr Anal, 27(2), pp.93~115 (1995)[DOI]
- Belluau M, "Linking hard and soft traits : Physiology, morphology and anatomy interact to determine habitat affinities to soil water availability in herbaceous dicots", PLOS ONE, 13(3), pp.e0193130~ (2018)[DOI]
- Benedetti Y, "Spatial mismatch analysis among hotspots of alien plant species, road and railway networks in Germany and Austria", PLoS ONE, 12(8), pp.e0183691~ (2017)[DOI]
- Bivand RS, "Comparing implementations of global and local indicators of spatial association", Test, 27(3), pp.716~748 (2018)[DOI]
- Jacques Brisson, "Roadside as invasion pathway for common reed (Phragmites australis)", Invasive Plant Science and Management, 3(4), pp.506~514 (2010), Cambridge University Press (CUP)[DOI]
- Cadotte MW, "Predicting communities from functional traits", Trends Ecol Evol(Amst), 30(9), pp.510~511 (2015)[DOI]
- "R: a language and environment for statistical computing" (2020)[URL]
- Dawson W, "Global hotspots and correlates of alien species richness across taxonomic groups", Nat Ecol Evol, 1(7) (2017)
- Diagne C, "High and rising economic costs of biological invasions worldwide", Nature, 592(7855), pp.571~576 (2021)[DOI]
- Díaz S, "The global spectrum of plant form and function", Nature, 529(7585), pp.167~171 (2016)[DOI]
- Falster DS, "Plant height and evolutionary games", Trends in Ecology & Evolution, 18(7), pp.337~343 (2003)[DOI]
- Fick SE, "WorldClim 2 : new 1-km spatial resolution climate surfaces for global land areas", Int J Climatol, 37, pp.4302~4315 (2017)[DOI]
- Grime JP, "Exploitation of environmental heterogeneity by plants:ecophysiological processes above-and belowground, vol. 19" (1994), Academic Press
- Guo W-Y, "The role of adaptive strategies in plant naturalization", Ecol Lett, 21(9), pp.1380~1389 (2018)[DOI]
- J. L. Harper, "The Shapes and Sizes of Seeds", Annual Review of Ecology and Systematics, 1(1), pp.327~356 (1970), Annual Reviews[DOI]
- Hood WG, "Vulnerability of riparian zones to invasion by exotic vascular plants", Plant Ecol, 148(1), pp.105~114 (2000)[DOI]
- Hosmer DW Jr, "Applied logistic regression" (2013), Wiley
- Hulme PE, "Trade, transport and trouble : managing invasive species pathways in an era of globalization", J Appl Ecol, 46(1), pp.10~18 (2009)[DOI]
- Yi Jin, "V.PhyloMaker: an R package that can generate very large phylogenies for vascular plants", Ecography, 42(8), pp.1353~1359 (2019), Wiley[DOI]
- Joly M, "Paving the way for invasive species : road type and the spread of common ragweed(Ambrosia artemisiifolia)", Environ Manag, 48(3), pp.514~522 (2011)[DOI]
- Kaluza P, "The complex network of global cargo ship movements", J R Soc Interface, 7(48), pp.1093~1103 (2010)[DOI]
- Kattge J, "TRY plant trait database-enhanced coverage and open access", Glob Chang Biol, 26(1), pp.119~188 (2020)[DOI]
- Lambers HANS, "Inherent variation in growth rate between higher plants : a search for physiological causes and ecological consequences", Adv Ecol Res, 23, pp.187~261 (1992)[DOI]
- Lobell DB, "Climate and management contributions to recent trends in U.S. agricultural yields", Science, 299(5609), pp.1032~ (2003)
- Lobell DB, "Global scale climate–crop yield relationships and the impacts of recent warming", Environ Res Lett, 2(1), pp.014002~ (2007)[DOI]
- Meunier G, "Roads as corridors for invasive plant species : new evidence from smooth bedstraw(Galium mollugo)", Invasive Plant Sci Manag, 5(1), pp.92~100 (2012)[DOI]
- Moles AT, "Global patterns in plant height", J Ecol, 97(5), pp.923~932 (2009)[DOI]
- Moravcová L, "Getting the right traits : reproductive and dispersal characteristics predict the invasiveness of herbaceous plant species", PLoS ONE, 10(4), pp.e0123634~ (2015)[DOI]
- Mouillot D, "A functional approach reveals community responses to disturbances", Trends Ecol Evol, 28(3), pp.167~177 (2013)[DOI]
- Naimi B, "Where is positional uncertainty a problem for species distribution modelling", Ecography, 37(2), pp.191~203 (2014)[DOI]
- NASA, "ASTER Global Digital Elevation Model V003", NASA EOSDIS Land Processes DAAC, ~ (2019)
- Novoa A, "Invasion syndromes : a systematic approach for predicting biological invasions and facilitating effective management", Biol Invasions, 22(5), pp.1801~1820 (2020)[DOI]
- Ovaskainen O, "How are species interactions structured in species-rich communities? A new method for analysing time-series data", Proc Biol Sci, 284(1855), pp.20170768~ (2017)
- Pearson DE, "Community assembly theory as a framework for biological invasions", Trends Ecol Evol, 33(5), pp.313~325 (2018)[DOI]
- Pierce S, "Allocating CSR plant functional types : the use of leaf economics and size traits to classify woody and herbaceous vascular plants", Funct Ecol, 27(4), pp.1002~1010 (2013)[DOI]
- Pluess AR, "Seed weight increases with altitude in the Swiss Alps between related species but not among populations of individual species", Oecologia, 144(1), pp.55~61 (2005)[DOI]
- Pysek PETR, "How important are rivers for supporting plant invasions", Ecol Manag Invasive Riverside Plants, 19~26 (1994)
- Regos A, "Effects of species traits and environmental predictors on performance and transferability of ecological niche models", Sci Rep, 9(1) (2019)
- Reich PB, "Leaf life span in relation to leaf, plant, and stand characteristics among diverse ecosystems", Ecol Monogr, 62(3), pp.365~392 (1992)[DOI]
- P. B. Reich, "From tropics to tundra: Global convergence in plant functioning", Proceedings of the National Academy of Sciences, 94(25), pp.13730~13734 (1997), Proceedings of the National Academy of Sciences[DOI]
- Smith CC, "The optimal balance between size and number of offspring", Am Nat, 108(962), pp.499~506 (1974)[DOI]
- Tikhonov G, "Computationally efficient joint species distribution modeling of big spatial data", Ecology, pp.e02929~ (2019)
- Tikhonov G, "Joint species distribution modelling with the r-package H msc", Methods Ecol Evol, 11(3), pp.442~447 (2020)[DOI]
- Tjur T, "Coefficients of determination in logistic regression models—a new proposal : the coefficient of discrimination", Am Stat, 63(4), pp.366~372 (2009)[DOI]
- Vesk PA, "Transferability of trait-based species distribution models", Ecography, 44(1), pp.134~147 (2021)[DOI]
- Eva Vojtech, "Light partitioning in experimental grass communities", Oikos, 117(9), pp.1351~1361 (2008), Wiley[DOI]
- Warton DI, "So many variables : joint modeling in community ecology", Trends Ecol Evol(Amst), 30(12), pp.766~779 (2015)[DOI]
- Westoby M, "A leaf-height-seed(LHS)plant ecology strategy scheme", Plant Soil, 199(2), pp.213~227 (1998)[DOI]
- Wright IJ, "The worldwide leaf economics spectrum", Nature, 428(6985), pp.821~827 (2004)[DOI]