Diverse population trajectories among coexisting species of subarctic forest moths

Records of 232 moth species spanning 26 years (total catch of ca. 230,000 specimens), obtained by continuous light‐trapping in Kevo, northernmost subarctic Finland, were used to examine the hypothesis that life‐history traits and taxonomic position contribute to both relative abundance and temporal...

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Published in:	Population Ecology
Main Authors:	Kozlov, Mikhail V., Hunter, Mark D., Koponen, Seppo, Kouki, Jari, Niemelä, Pekka, Price, Peter W.
Format:	Article in Journal/Newspaper
Language:	unknown
Published:	Springer Japan 2010
Subjects:	Population cycles Rarity Temporal variability Life histories Lepidoptera Natural Resources and Environment Science Kevo Subarctic
Online Access:	https://hdl.handle.net/2027.42/146872 https://doi.org/10.1007/s10144-009-0183-z

id	ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/146872
record_format	openpolar
institution	Open Polar
collection	University of Michigan: Deep Blue
op_collection_id	ftumdeepblue
language	unknown
topic	Population cycles Rarity Temporal variability Life histories Lepidoptera Natural Resources and Environment Science
spellingShingle	Population cycles Rarity Temporal variability Life histories Lepidoptera Natural Resources and Environment Science Kozlov, Mikhail V. Hunter, Mark D. Koponen, Seppo Kouki, Jari Niemelä, Pekka Price, Peter W. Diverse population trajectories among coexisting species of subarctic forest moths
topic_facet	Population cycles Rarity Temporal variability Life histories Lepidoptera Natural Resources and Environment Science
description	Records of 232 moth species spanning 26 years (total catch of ca. 230,000 specimens), obtained by continuous light‐trapping in Kevo, northernmost subarctic Finland, were used to examine the hypothesis that life‐history traits and taxonomic position contribute to both relative abundance and temporal variability of Lepidoptera. Species with detritophagous or moss‐feeding larvae, species hibernating in the larval stage, and species pupating during the first half of the growing season were over‐represented among 42 species classified as abundant during the entire sampling period. The coefficients of variation in annual catches of species hibernating as eggs averaged 1.7 times higher than those of species hibernating as larvae or pupae. Time‐series analysis demonstrated that periodicity in fluctuations of annual catches is generally independent of life‐history traits and taxonomic affinities of the species. Moreover, closely related species with similar life‐history traits often show different population dynamics, undermining the phylogenetic constraints hypothesis. Species with the shortest (1 year) time lag in the action of negative feedback processes on population growth exhibit the largest magnitude of fluctuations. Our analyses revealed that only a few consistent patterns in the population dynamics of herbivorous moths can be deduced from life‐history characteristics of the species. Moreover, the diversity of population behaviour in one moth assemblage challenges any conventional wisdom suggesting predictable patterns. Our results raise several questions about perceptions and paradigms in insect population dynamics and stress the need for research on detritivorous insect population dynamics, as well as the need for more assemblage‐wide studies using common trapping methods to provide comparative data on related and unrelated species with different life‐history traits. Peer Reviewed https://deepblue.lib.umich.edu/bitstream/2027.42/146872/1/pope0295.pdf
format	Article in Journal/Newspaper
author	Kozlov, Mikhail V. Hunter, Mark D. Koponen, Seppo Kouki, Jari Niemelä, Pekka Price, Peter W.
author_facet	Kozlov, Mikhail V. Hunter, Mark D. Koponen, Seppo Kouki, Jari Niemelä, Pekka Price, Peter W.
author_sort	Kozlov, Mikhail V.
title	Diverse population trajectories among coexisting species of subarctic forest moths
title_short	Diverse population trajectories among coexisting species of subarctic forest moths
title_full	Diverse population trajectories among coexisting species of subarctic forest moths
title_fullStr	Diverse population trajectories among coexisting species of subarctic forest moths
title_full_unstemmed	Diverse population trajectories among coexisting species of subarctic forest moths
title_sort	diverse population trajectories among coexisting species of subarctic forest moths
publisher	Springer Japan
publishDate	2010
url	https://hdl.handle.net/2027.42/146872 https://doi.org/10.1007/s10144-009-0183-z
long_lat	ENVELOPE(27.020,27.020,69.758,69.758)
geographic	Kevo
geographic_facet	Kevo
genre	Subarctic
genre_facet	Subarctic
op_relation	Kozlov, Mikhail V.; Hunter, Mark D.; Koponen, Seppo; Kouki, Jari; Niemelä, Pekka Price, Peter W. (2010). "Diverse population trajectories among coexisting species of subarctic forest moths." Population Ecology 52(2): 295-305. 1438-3896 1438-390X https://hdl.handle.net/2027.42/146872 doi:10.1007/s10144-009-0183-z Population Ecology Royama T ( 1992 ) Analytical population dynamics. Chapman and Hall, London Hunter MD, Price PW ( 1998 ) Cycles in insect populations: delayed density dependence or exogenous driving variables? Ecol Entomol 23: 216 – 222 Redfearn A, Pimm LS ( 1988 ) Population variability and polyphagy in herbivorous insect communities. Ecol Monogr 58: 39 – 55 Redfern M, Hunter MD ( 2005 ) Time tells: long‐term patterns in the population dynamics of the yew gall midge, Taxomyia taxi (Cecidomyiidae), over 35 years. Ecol Entomol 30: 86 – 95 Rejmanek M, Spitzer K ( 1982 ) Bionomic strategies and long‐term fluctuations in abundance of Noctuidae (Lepidoptera). Acta Entomol Bohemoslov 79: 81 – 96 Rossiter MC ( 1994 ) Maternal effects hypothesis of herbivore outbreak. Bioscience 44: 752 – 763 Inkinen P ( 1994 ) Distribution and abundance in British noctuid moths revisited. Ann Zool Fenn 31: 235 – 243 Ruohomäki K, Tanhuanpää M, Ayres MP, Kaitaniemi P, Tammaru T, Haukioja E ( 2000 ) Causes of cyclicity of Epirrita autumnata (Lepidoptera, Geometridae): grandiose theory and tedious practice. Popul Ecol 42: 211 – 223 SAS Institute ( 2009 ) SAS version 9.2 for Windows. SAS Institute, Cary Seppälä M, Rastas J ( 1980 ) Vegetation map of northernmost Finland with special reference to subarctic forest limits and natural hazards. Fennia 158: 41 – 61 Slansky F, Rodriguez JG ( 1987 ) Nutritional ecology of insects, mites, spiders and related invertebrates. Wiley, NY Southwood TRE ( 1977 ) Habitat, the templet for ecological strategies? J Anim Ecol 46: 337 – 365 Spitzer K, Rejmanek M, Soldan T ( 1984 ) The fecundity and long‐term variability in abundance of noctuid moths (Lepidoptera, Noctuidae). Oecologia 62: 91 – 93 Stenseth NC, Bjornstad ON, Falck W ( 1996 ) Is spacing behaviour coupled with predation causing the microtine density cycle? A synthesis of current process‐oriented and pattern‐oriented studies. Proc R Soc B 263: 1423 – 1435 Stiling P ( 1988 ) Density‐dependent processes and key factors in insect populations. J Anim Ecol 57: 581 – 594 Tammaru T, Haukioja E ( 1996 ) Capital breeders and income breeders among Lepidoptera—consequences to population dynamics. Oikos 77: 561 – 564 Tammaru T, Kaitaniemi P, Ruohomäki K ( 1995 ) Oviposition choices of Epirrita autumnata (Lepidoptera: Geometridae) in relation to its eruptive population dynamics. Oikos 74: 296 – 304 Tenow O ( 1972 ) The outbreaks of Oporinia autumnata Bkh. and Operophthera spp. (Lep., Geometridae) in the Scandinavian mountain chain and northern Finland 1862–1968 (PhD thesis). Zoologiska Bidrag från Uppsala ( Suppl 2 ): 1 – 107 Turchin P ( 1990 ) Rarity of density dependence or regulation with lags? Nature 344: 660 – 663 van Emden HF, Way MJ ( 1972 ) Host plants in the population dynamics of insects. In: van Emden HF (ed) Insect/plant relationships. Blackwell, Oxford, pp 181 – 199 Voipio P ( 1950 ) Evolution at the population level with special reference to the game animals and practical game management. Pap Game Res 5: 1 – 176 Wasserman SS, Mitter C ( 1978 ) The relationship of body size to breadth of diet in some Lepidoptera. Ecol Entomol 3: 155 – 160 Watt KEF ( 1964 ) Comments on fluctuations of animal populations and measures of community stability. Can Entomol 96: 1434 – 1442 Williams DW, Liebhold AM ( 1995 ) Detection of delayed density dependence: effects of autocorrelation in an exogenous factor. Ecology 76: 1005 – 1008 Wolda H, Marek J, Spitzer K, Is Novak ( 1994 ) Diversity and variability of Lepidoptera populations in urban Brno, Czech Republic. Eur J Entomol 91: 213 – 226 Zvereva EL, Kozlov MV ( 2006 ) Top‐down effects on population dynamics of Eriocrania miners (Lepidoptera) under pollution impact: does enemy‐free space exist? Oikos 115: 413 – 426 Zvereva EL, Kozlov MV, Kruglova OY ( 2002 ) Colour polymorphism in relation to population dynamics of the leaf beetle, Chrysomela lapponica. Evol Ecol 16: 523 – 539 Hunter MD, Varley GC, Gradwell GR ( 1997 ) Estimating the relative roles of top‐down and bottom‐up forces on insect herbivore populations: a classic study re‐visited. Proc Natl Acad Sci USA 94: 9176 – 9181 Andrewarth HG, Birch LC ( 1954 ) The distribution and abundance of animals. University of Chicago Press, Chicago Ariño A, Pimm LS ( 1995 ) On the nature of population extremes. Evol Ecol 9: 429 – 443 Berryman AA ( 1987 ) The theory and classification of outbreaks. In: Barbosa P, Schultz JC (eds) Insect outbreaks. Academic, San Diego, pp 3 – 30 Berryman AA ( 1994 ) Population dynamics: forecasting and diagnosis from time series. In: Leather SR, Watt AD, Mills NJ, Walters KFA (eds) Individuals populations and patterns in ecology. Intercept, Andover, pp 119 – 128 Bylund H, Tenow O ( 1994 ) Long‐term dynamics of leaf miners Erocrania spp., on mountain birch: alternate year fluctuations and interaction with Epirrita autumnata. Ecol Entomol 19: 310 – 318 Chitty D ( 1960 ) Population processes in the vole and their relevance to general theory. Can J Zool 38: 99 – 113 Dennis B, Taper ML ( 1994 ) Density dependence in time series observations of natural populations: estimation and testing. Ecol Monogr 64: 205 – 224 Eber S, Smith HP, Didham RK, Cornell HV ( 2001 ) Holly leaf‐miners on two continents: what makes an outbreak species? Ecol Entomol 26: 124 – 132 Faeth SH ( 1987 ) Community structure and folivorous insect outbreaks: the roles of vertical and horizontal interactions. In: Barbosa P, Schultz JC (eds) Insect outbreaks. Academic, San Diego, pp 135 – 171 Forchhammer MC, Stenseth NC, Post E, Langvatn R ( 1998 ) Population dynamics of Norwegian red deer: density‐dependence and climatic variation. Proc R Soc B 265: 341 – 350 Freville H, McConway K, Dodd M, Silvertown J ( 2007 ) Prediction of extinction in plants: interaction of extrinsic threats and life history traits. Ecology 88: 2662 – 2672 Gaston KJ ( 1988 ) Patterns in the local and regional dynamics of moth populations. Oikos 53: 49 – 57 Gaston KJ, McArdle BH ( 1994 ) The temporal variability of animal abundances: measures, methods and patterns. Philos Trans R Soc B Biol Sci 345: 335 – 358 Ginzburg LR, Taneyhill DE ( 1994 ) Population cycles of forest Lepidoptera: a maternal effect hypothesis. J Anim Ecol 63: 79 – 92 Haukioja E ( 2005 ) Plant defenses and population fluctuations of forest defoliators: mechanism‐based scenarios. Ann Zool Fenn 42: 313 – 325
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spelling	ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/146872 2023-08-20T04:10:02+02:00 Diverse population trajectories among coexisting species of subarctic forest moths Kozlov, Mikhail V. Hunter, Mark D. Koponen, Seppo Kouki, Jari Niemelä, Pekka Price, Peter W. 2010-04 application/pdf https://hdl.handle.net/2027.42/146872 https://doi.org/10.1007/s10144-009-0183-z unknown Springer Japan Wiley Periodicals, Inc. Kozlov, Mikhail V.; Hunter, Mark D.; Koponen, Seppo; Kouki, Jari; Niemelä, Pekka Price, Peter W. (2010). "Diverse population trajectories among coexisting species of subarctic forest moths." Population Ecology 52(2): 295-305. 1438-3896 1438-390X https://hdl.handle.net/2027.42/146872 doi:10.1007/s10144-009-0183-z Population Ecology Royama T ( 1992 ) Analytical population dynamics. Chapman and Hall, London Hunter MD, Price PW ( 1998 ) Cycles in insect populations: delayed density dependence or exogenous driving variables? Ecol Entomol 23: 216 – 222 Redfearn A, Pimm LS ( 1988 ) Population variability and polyphagy in herbivorous insect communities. Ecol Monogr 58: 39 – 55 Redfern M, Hunter MD ( 2005 ) Time tells: long‐term patterns in the population dynamics of the yew gall midge, Taxomyia taxi (Cecidomyiidae), over 35 years. Ecol Entomol 30: 86 – 95 Rejmanek M, Spitzer K ( 1982 ) Bionomic strategies and long‐term fluctuations in abundance of Noctuidae (Lepidoptera). Acta Entomol Bohemoslov 79: 81 – 96 Rossiter MC ( 1994 ) Maternal effects hypothesis of herbivore outbreak. Bioscience 44: 752 – 763 Inkinen P ( 1994 ) Distribution and abundance in British noctuid moths revisited. Ann Zool Fenn 31: 235 – 243 Ruohomäki K, Tanhuanpää M, Ayres MP, Kaitaniemi P, Tammaru T, Haukioja E ( 2000 ) Causes of cyclicity of Epirrita autumnata (Lepidoptera, Geometridae): grandiose theory and tedious practice. Popul Ecol 42: 211 – 223 SAS Institute ( 2009 ) SAS version 9.2 for Windows. SAS Institute, Cary Seppälä M, Rastas J ( 1980 ) Vegetation map of northernmost Finland with special reference to subarctic forest limits and natural hazards. Fennia 158: 41 – 61 Slansky F, Rodriguez JG ( 1987 ) Nutritional ecology of insects, mites, spiders and related invertebrates. Wiley, NY Southwood TRE ( 1977 ) Habitat, the templet for ecological strategies? J Anim Ecol 46: 337 – 365 Spitzer K, Rejmanek M, Soldan T ( 1984 ) The fecundity and long‐term variability in abundance of noctuid moths (Lepidoptera, Noctuidae). Oecologia 62: 91 – 93 Stenseth NC, Bjornstad ON, Falck W ( 1996 ) Is spacing behaviour coupled with predation causing the microtine density cycle? A synthesis of current process‐oriented and pattern‐oriented studies. Proc R Soc B 263: 1423 – 1435 Stiling P ( 1988 ) Density‐dependent processes and key factors in insect populations. J Anim Ecol 57: 581 – 594 Tammaru T, Haukioja E ( 1996 ) Capital breeders and income breeders among Lepidoptera—consequences to population dynamics. Oikos 77: 561 – 564 Tammaru T, Kaitaniemi P, Ruohomäki K ( 1995 ) Oviposition choices of Epirrita autumnata (Lepidoptera: Geometridae) in relation to its eruptive population dynamics. Oikos 74: 296 – 304 Tenow O ( 1972 ) The outbreaks of Oporinia autumnata Bkh. and Operophthera spp. (Lep., Geometridae) in the Scandinavian mountain chain and northern Finland 1862–1968 (PhD thesis). Zoologiska Bidrag från Uppsala ( Suppl 2 ): 1 – 107 Turchin P ( 1990 ) Rarity of density dependence or regulation with lags? Nature 344: 660 – 663 van Emden HF, Way MJ ( 1972 ) Host plants in the population dynamics of insects. In: van Emden HF (ed) Insect/plant relationships. Blackwell, Oxford, pp 181 – 199 Voipio P ( 1950 ) Evolution at the population level with special reference to the game animals and practical game management. Pap Game Res 5: 1 – 176 Wasserman SS, Mitter C ( 1978 ) The relationship of body size to breadth of diet in some Lepidoptera. Ecol Entomol 3: 155 – 160 Watt KEF ( 1964 ) Comments on fluctuations of animal populations and measures of community stability. Can Entomol 96: 1434 – 1442 Williams DW, Liebhold AM ( 1995 ) Detection of delayed density dependence: effects of autocorrelation in an exogenous factor. Ecology 76: 1005 – 1008 Wolda H, Marek J, Spitzer K, Is Novak ( 1994 ) Diversity and variability of Lepidoptera populations in urban Brno, Czech Republic. Eur J Entomol 91: 213 – 226 Zvereva EL, Kozlov MV ( 2006 ) Top‐down effects on population dynamics of Eriocrania miners (Lepidoptera) under pollution impact: does enemy‐free space exist? Oikos 115: 413 – 426 Zvereva EL, Kozlov MV, Kruglova OY ( 2002 ) Colour polymorphism in relation to population dynamics of the leaf beetle, Chrysomela lapponica. Evol Ecol 16: 523 – 539 Hunter MD, Varley GC, Gradwell GR ( 1997 ) Estimating the relative roles of top‐down and bottom‐up forces on insect herbivore populations: a classic study re‐visited. Proc Natl Acad Sci USA 94: 9176 – 9181 Andrewarth HG, Birch LC ( 1954 ) The distribution and abundance of animals. University of Chicago Press, Chicago Ariño A, Pimm LS ( 1995 ) On the nature of population extremes. Evol Ecol 9: 429 – 443 Berryman AA ( 1987 ) The theory and classification of outbreaks. In: Barbosa P, Schultz JC (eds) Insect outbreaks. Academic, San Diego, pp 3 – 30 Berryman AA ( 1994 ) Population dynamics: forecasting and diagnosis from time series. In: Leather SR, Watt AD, Mills NJ, Walters KFA (eds) Individuals populations and patterns in ecology. Intercept, Andover, pp 119 – 128 Bylund H, Tenow O ( 1994 ) Long‐term dynamics of leaf miners Erocrania spp., on mountain birch: alternate year fluctuations and interaction with Epirrita autumnata. Ecol Entomol 19: 310 – 318 Chitty D ( 1960 ) Population processes in the vole and their relevance to general theory. Can J Zool 38: 99 – 113 Dennis B, Taper ML ( 1994 ) Density dependence in time series observations of natural populations: estimation and testing. Ecol Monogr 64: 205 – 224 Eber S, Smith HP, Didham RK, Cornell HV ( 2001 ) Holly leaf‐miners on two continents: what makes an outbreak species? Ecol Entomol 26: 124 – 132 Faeth SH ( 1987 ) Community structure and folivorous insect outbreaks: the roles of vertical and horizontal interactions. In: Barbosa P, Schultz JC (eds) Insect outbreaks. Academic, San Diego, pp 135 – 171 Forchhammer MC, Stenseth NC, Post E, Langvatn R ( 1998 ) Population dynamics of Norwegian red deer: density‐dependence and climatic variation. Proc R Soc B 265: 341 – 350 Freville H, McConway K, Dodd M, Silvertown J ( 2007 ) Prediction of extinction in plants: interaction of extrinsic threats and life history traits. Ecology 88: 2662 – 2672 Gaston KJ ( 1988 ) Patterns in the local and regional dynamics of moth populations. Oikos 53: 49 – 57 Gaston KJ, McArdle BH ( 1994 ) The temporal variability of animal abundances: measures, methods and patterns. Philos Trans R Soc B Biol Sci 345: 335 – 358 Ginzburg LR, Taneyhill DE ( 1994 ) Population cycles of forest Lepidoptera: a maternal effect hypothesis. J Anim Ecol 63: 79 – 92 Haukioja E ( 2005 ) Plant defenses and population fluctuations of forest defoliators: mechanism‐based scenarios. Ann Zool Fenn 42: 313 – 325 IndexNoFollow Population cycles Rarity Temporal variability Life histories Lepidoptera Natural Resources and Environment Science Article 2010 ftumdeepblue https://doi.org/10.1007/s10144-009-0183-z 2023-07-31T21:13:20Z Records of 232 moth species spanning 26 years (total catch of ca. 230,000 specimens), obtained by continuous light‐trapping in Kevo, northernmost subarctic Finland, were used to examine the hypothesis that life‐history traits and taxonomic position contribute to both relative abundance and temporal variability of Lepidoptera. Species with detritophagous or moss‐feeding larvae, species hibernating in the larval stage, and species pupating during the first half of the growing season were over‐represented among 42 species classified as abundant during the entire sampling period. The coefficients of variation in annual catches of species hibernating as eggs averaged 1.7 times higher than those of species hibernating as larvae or pupae. Time‐series analysis demonstrated that periodicity in fluctuations of annual catches is generally independent of life‐history traits and taxonomic affinities of the species. Moreover, closely related species with similar life‐history traits often show different population dynamics, undermining the phylogenetic constraints hypothesis. Species with the shortest (1 year) time lag in the action of negative feedback processes on population growth exhibit the largest magnitude of fluctuations. Our analyses revealed that only a few consistent patterns in the population dynamics of herbivorous moths can be deduced from life‐history characteristics of the species. Moreover, the diversity of population behaviour in one moth assemblage challenges any conventional wisdom suggesting predictable patterns. Our results raise several questions about perceptions and paradigms in insect population dynamics and stress the need for research on detritivorous insect population dynamics, as well as the need for more assemblage‐wide studies using common trapping methods to provide comparative data on related and unrelated species with different life‐history traits. Peer Reviewed https://deepblue.lib.umich.edu/bitstream/2027.42/146872/1/pope0295.pdf Article in Journal/Newspaper Subarctic University of Michigan: Deep Blue Kevo ENVELOPE(27.020,27.020,69.758,69.758) Population Ecology 52 2 295 305

Diverse population trajectories among coexisting species of subarctic forest moths

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