Analysis of gypsy moth (Lepidoptera: Lymantriidae) population dynamics in Michigan using geographic information systems

We studied the 9-yr (1986-1994) statewide gypsy moth, Lymantria dispar (L.), population distribution dynamics in Michigan using geographic information systems (GIS) based on an analysis of pheromone trap data of male moth catch from more than 3,000 permanent sites. A time series of male moth contour...

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Veröffentlicht in:Environmental entomology 1998-08, Vol.27 (4), p.842-852
Hauptverfasser: Yang, D.S. (Sichuan Agricultural University, Yaan City, Sichuan Province, China.), Pijanowski, B.C, Gage, S.H
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creator Yang, D.S. (Sichuan Agricultural University, Yaan City, Sichuan Province, China.)
Pijanowski, B.C
Gage, S.H
description We studied the 9-yr (1986-1994) statewide gypsy moth, Lymantria dispar (L.), population distribution dynamics in Michigan using geographic information systems (GIS) based on an analysis of pheromone trap data of male moth catch from more than 3,000 permanent sites. A time series of male moth contour maps with 7 density categories (0, 1-25, 26-100, 101-200, 201-300, 301-400 and 400 moths (.) trap-1 (.) year-1) was created using the GIS. The statewide gypsy moth population expanded at an alarming rate of 6,053 km2/yr with the largest area infested being 128,164 km2 (85% of the state) in 1993. The population-weighted mean center stayed in the Lower Peninsula, but a low density population was developing in the Upper Peninsula during the 9-yr period. Map analysis showed that the statewide population gradually increased from 1986 to 1990 and then became relatively stable thereafter. Both the highest weighted average density (191 moths (.) trap 1 (.) year-1) and the greatest coefficient of relative dispersion (307%) occurred in 1990. Linear regression slopes between successive years were 1.0 before 1990 and 1.0 thereafter, indicating an increasing and then decreasing population density change. Regression results between successive years indicate that the previous years' population map is a good linear approximation for the following (r2 70%). In the 9-yr study, 55% of the population cells stayed in the same density class in the following year. A general pattern of population density shifts was that increase prevailed over decrease. Research methodology, population distribution, temporal dynamics, and density shifts are discussed
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(Sichuan Agricultural University, Yaan City, Sichuan Province, China.) ; Pijanowski, B.C ; Gage, S.H</creator><creatorcontrib>Yang, D.S. (Sichuan Agricultural University, Yaan City, Sichuan Province, China.) ; Pijanowski, B.C ; Gage, S.H</creatorcontrib><description>We studied the 9-yr (1986-1994) statewide gypsy moth, Lymantria dispar (L.), population distribution dynamics in Michigan using geographic information systems (GIS) based on an analysis of pheromone trap data of male moth catch from more than 3,000 permanent sites. A time series of male moth contour maps with 7 density categories (0, 1-25, 26-100, 101-200, 201-300, 301-400 and 400 moths (.) trap-1 (.) year-1) was created using the GIS. The statewide gypsy moth population expanded at an alarming rate of 6,053 km2/yr with the largest area infested being 128,164 km2 (85% of the state) in 1993. The population-weighted mean center stayed in the Lower Peninsula, but a low density population was developing in the Upper Peninsula during the 9-yr period. Map analysis showed that the statewide population gradually increased from 1986 to 1990 and then became relatively stable thereafter. Both the highest weighted average density (191 moths (.) trap 1 (.) year-1) and the greatest coefficient of relative dispersion (307%) occurred in 1990. Linear regression slopes between successive years were 1.0 before 1990 and 1.0 thereafter, indicating an increasing and then decreasing population density change. Regression results between successive years indicate that the previous years' population map is a good linear approximation for the following (r2 70%). In the 9-yr study, 55% of the population cells stayed in the same density class in the following year. A general pattern of population density shifts was that increase prevailed over decrease. 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(Sichuan Agricultural University, Yaan City, Sichuan Province, China.)</creatorcontrib><creatorcontrib>Pijanowski, B.C</creatorcontrib><creatorcontrib>Gage, S.H</creatorcontrib><title>Analysis of gypsy moth (Lepidoptera: Lymantriidae) population dynamics in Michigan using geographic information systems</title><title>Environmental entomology</title><description>We studied the 9-yr (1986-1994) statewide gypsy moth, Lymantria dispar (L.), population distribution dynamics in Michigan using geographic information systems (GIS) based on an analysis of pheromone trap data of male moth catch from more than 3,000 permanent sites. A time series of male moth contour maps with 7 density categories (0, 1-25, 26-100, 101-200, 201-300, 301-400 and 400 moths (.) trap-1 (.) year-1) was created using the GIS. The statewide gypsy moth population expanded at an alarming rate of 6,053 km2/yr with the largest area infested being 128,164 km2 (85% of the state) in 1993. The population-weighted mean center stayed in the Lower Peninsula, but a low density population was developing in the Upper Peninsula during the 9-yr period. Map analysis showed that the statewide population gradually increased from 1986 to 1990 and then became relatively stable thereafter. Both the highest weighted average density (191 moths (.) trap 1 (.) year-1) and the greatest coefficient of relative dispersion (307%) occurred in 1990. Linear regression slopes between successive years were 1.0 before 1990 and 1.0 thereafter, indicating an increasing and then decreasing population density change. Regression results between successive years indicate that the previous years' population map is a good linear approximation for the following (r2 70%). In the 9-yr study, 55% of the population cells stayed in the same density class in the following year. A general pattern of population density shifts was that increase prevailed over decrease. Research methodology, population distribution, temporal dynamics, and density shifts are discussed</description><subject>ANALISIS DE SERIES CRONOLOGICAS</subject><subject>ANALYSE DE SERIES CHRONOLOGIQUES</subject><subject>Biological and medical sciences</subject><subject>DENSIDAD DE LA POBLACION</subject><subject>DENSITE DE POPULATION</subject><subject>DINAMICA DE POBLACIONES</subject><subject>DISTRIBUCION DE LA POBLACION</subject><subject>DISTRIBUCION ESPACIAL</subject><subject>DISTRIBUCION GEOGRAFICA</subject><subject>DISTRIBUTION DES POPULATIONS</subject><subject>DISTRIBUTION GEOGRAPHIQUE</subject><subject>DISTRIBUTION SPATIALE</subject><subject>DYNAMIQUE DES POPULATIONS</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>GEOGRAPHICAL DISTRIBUTION</subject><subject>GEOGRAPHICAL INFORMATION SYSTEMS</subject><subject>LYMANTRIA DISPAR</subject><subject>MICHIGAN</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>POPULATION DENSITY</subject><subject>POPULATION DISTRIBUTION</subject><subject>POPULATION DYNAMICS</subject><subject>Protozoa. Invertebrates</subject><subject>Records, symptoms, damages, economic importance, population surveys</subject><subject>SISTEMAS DE INFORMACION GEOGRAFICA</subject><subject>SPATIAL DISTRIBUTION</subject><subject>SPREAD</subject><subject>SYSTEME D'INFORMATION GEOGRAPHIQUE</subject><subject>TIME SERIES ANALYSIS</subject><issn>0046-225X</issn><issn>1938-2936</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNpF0M-L1TAQB_AgCj5XT56FHEQU6dv8aNNkb8ui7sJb9qAL3sIknfRF2qYmfUj_eytvwbnMYT7fOXwJecvZnjMjLxEvRbuv97oWz8iOG6krYaR6TnaM1aoSovn5krwq5RfbRot2R_5cTzCsJRaaAu3Xuax0TMuRfjzgHLs0L5jhih7WEaYlx9gBfqJzmk8DLDFNtFsnGKMvNE70Pvpj7GGipxKnnvaY-gzzMfrtGFIez4mylgXH8pq8CDAUfPO0L8jj1y8_bm6rw8O3u5vrQ-Ull0vlUCloBNbBa-kkys43TmrnDUcQKJ3SbdvVQivmPDa6q7kJUoTOGeeMZPKCfDj_nXP6fcKy2DEWj8MAE6ZTsVw1inHBN_j5DH1OpWQMds5xhLxazuy_ci2iFa2t7Vbupt8_vYXiYQgZJh_L_4gSbdPqjb07swDJQp838vidG2MYE6YV8i-RHoWf</recordid><startdate>19980801</startdate><enddate>19980801</enddate><creator>Yang, D.S. 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(Sichuan Agricultural University, Yaan City, Sichuan Province, China.) ; Pijanowski, B.C ; Gage, S.H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-be66a52e4fc83b3e3dc5b38bc91ea2e3b6877d42860bce58d419f32fdb9bb9303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>ANALISIS DE SERIES CRONOLOGICAS</topic><topic>ANALYSE DE SERIES CHRONOLOGIQUES</topic><topic>Biological and medical sciences</topic><topic>DENSIDAD DE LA POBLACION</topic><topic>DENSITE DE POPULATION</topic><topic>DINAMICA DE POBLACIONES</topic><topic>DISTRIBUCION DE LA POBLACION</topic><topic>DISTRIBUCION ESPACIAL</topic><topic>DISTRIBUCION GEOGRAFICA</topic><topic>DISTRIBUTION DES POPULATIONS</topic><topic>DISTRIBUTION GEOGRAPHIQUE</topic><topic>DISTRIBUTION SPATIALE</topic><topic>DYNAMIQUE DES POPULATIONS</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>GEOGRAPHICAL DISTRIBUTION</topic><topic>GEOGRAPHICAL INFORMATION SYSTEMS</topic><topic>LYMANTRIA DISPAR</topic><topic>MICHIGAN</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>POPULATION DENSITY</topic><topic>POPULATION DISTRIBUTION</topic><topic>POPULATION DYNAMICS</topic><topic>Protozoa. Invertebrates</topic><topic>Records, symptoms, damages, economic importance, population surveys</topic><topic>SISTEMAS DE INFORMACION GEOGRAFICA</topic><topic>SPATIAL DISTRIBUTION</topic><topic>SPREAD</topic><topic>SYSTEME D'INFORMATION GEOGRAPHIQUE</topic><topic>TIME SERIES ANALYSIS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, D.S. (Sichuan Agricultural University, Yaan City, Sichuan Province, China.)</creatorcontrib><creatorcontrib>Pijanowski, B.C</creatorcontrib><creatorcontrib>Gage, S.H</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Environmental entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, D.S. (Sichuan Agricultural University, Yaan City, Sichuan Province, China.)</au><au>Pijanowski, B.C</au><au>Gage, S.H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of gypsy moth (Lepidoptera: Lymantriidae) population dynamics in Michigan using geographic information systems</atitle><jtitle>Environmental entomology</jtitle><date>1998-08-01</date><risdate>1998</risdate><volume>27</volume><issue>4</issue><spage>842</spage><epage>852</epage><pages>842-852</pages><issn>0046-225X</issn><eissn>1938-2936</eissn><coden>EVETBX</coden><abstract>We studied the 9-yr (1986-1994) statewide gypsy moth, Lymantria dispar (L.), population distribution dynamics in Michigan using geographic information systems (GIS) based on an analysis of pheromone trap data of male moth catch from more than 3,000 permanent sites. A time series of male moth contour maps with 7 density categories (0, 1-25, 26-100, 101-200, 201-300, 301-400 and 400 moths (.) trap-1 (.) year-1) was created using the GIS. The statewide gypsy moth population expanded at an alarming rate of 6,053 km2/yr with the largest area infested being 128,164 km2 (85% of the state) in 1993. The population-weighted mean center stayed in the Lower Peninsula, but a low density population was developing in the Upper Peninsula during the 9-yr period. Map analysis showed that the statewide population gradually increased from 1986 to 1990 and then became relatively stable thereafter. Both the highest weighted average density (191 moths (.) trap 1 (.) year-1) and the greatest coefficient of relative dispersion (307%) occurred in 1990. Linear regression slopes between successive years were 1.0 before 1990 and 1.0 thereafter, indicating an increasing and then decreasing population density change. Regression results between successive years indicate that the previous years' population map is a good linear approximation for the following (r2 70%). In the 9-yr study, 55% of the population cells stayed in the same density class in the following year. A general pattern of population density shifts was that increase prevailed over decrease. Research methodology, population distribution, temporal dynamics, and density shifts are discussed</abstract><cop>Lanham, MD</cop><pub>Entomological Society of America</pub><doi>10.1093/ee/27.4.842</doi><tpages>11</tpages></addata></record>
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ispartof Environmental entomology, 1998-08, Vol.27 (4), p.842-852
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source Oxford University Press Journals All Titles (1996-Current)
subjects ANALISIS DE SERIES CRONOLOGICAS
ANALYSE DE SERIES CHRONOLOGIQUES
Biological and medical sciences
DENSIDAD DE LA POBLACION
DENSITE DE POPULATION
DINAMICA DE POBLACIONES
DISTRIBUCION DE LA POBLACION
DISTRIBUCION ESPACIAL
DISTRIBUCION GEOGRAFICA
DISTRIBUTION DES POPULATIONS
DISTRIBUTION GEOGRAPHIQUE
DISTRIBUTION SPATIALE
DYNAMIQUE DES POPULATIONS
Fundamental and applied biological sciences. Psychology
GEOGRAPHICAL DISTRIBUTION
GEOGRAPHICAL INFORMATION SYSTEMS
LYMANTRIA DISPAR
MICHIGAN
Phytopathology. Animal pests. Plant and forest protection
POPULATION DENSITY
POPULATION DISTRIBUTION
POPULATION DYNAMICS
Protozoa. Invertebrates
Records, symptoms, damages, economic importance, population surveys
SISTEMAS DE INFORMACION GEOGRAFICA
SPATIAL DISTRIBUTION
SPREAD
SYSTEME D'INFORMATION GEOGRAPHIQUE
TIME SERIES ANALYSIS
title Analysis of gypsy moth (Lepidoptera: Lymantriidae) population dynamics in Michigan using geographic information systems
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