ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES

The growing demand for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring data set describing the relative abundance of the saltmarsh mosquito (Aedes v...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ecological applications 2008-12, Vol.18 (8), p.2028-2040
Hauptverfasser: Yang, Guo-Jing, Brook, Barry W., Whelan, Peter I., Cleland, Sam, Bradshaw, Corey J. A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2040
container_issue 8
container_start_page 2028
container_title Ecological applications
container_volume 18
creator Yang, Guo-Jing
Brook, Barry W.
Whelan, Peter I.
Cleland, Sam
Bradshaw, Corey J. A.
description The growing demand for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring data set describing the relative abundance of the saltmarsh mosquito (Aedes vigilax) in the greater Darwin region, northern Australia, was examined in a suite of Gompertz-logistic (GL) models with and without hypothesized environmental correlates (high tide frequency, rainfall, and relative humidity). High tide frequency and humidity were hypothesized to influence saltmarsh mosquito abundance positively, and rainfall was hypothesized to correlate negatively by reducing the availability of suitable habitats (moist substrata) required by ovipositing adult female mosquitoes. We also examined whether environmental correlates explained the variance in seasonal carrying capacity (K) because environmental stochasticity is hypothesized to modify population growth rate (r), carrying capacity, or both. Current and lagged-time effects were tested by comparing alternative population dynamics models using three different information criteria (Akaike's Information Criterion [corrected; AICc], Bayesian Information Criterion [BIC], and cross-validation [C-V]). The GL model with a two-month lag without environmental effects explained 31% of the deviance in population growth rate. This increased to >70% under various model combinations of high tide frequency, rainfall, and relative humidity, of which, high tide frequency and rainfall had the highest contributions. Temporal variation in K was explained weakly by high tide frequency, and there was some evidence that the filling of depressions to reduce standing water availability has reduced Aedes vigilax carrying capacity over the study period. This study underscores the need to consider simultaneously both types of drivers (endogenous and exogenous) when predicting mosquito abundance and population growth patterns. This work also indicates that climate change, via continued increases in rainfall and higher expected frequencies and intensities of high tide events with sea level rise, will alter mosquito abundance trends in northern Australia.
doi_str_mv 10.1890/07-1209.1
format Article
fullrecord <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_66699244</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>27645919</jstor_id><sourcerecordid>27645919</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5078-ea7928989a298d4c811b0c858d825796d175984d72e3644af481256cff9739733</originalsourceid><addsrcrecordid>eNqFkU2P0zAQhi0EYpfCgR8A5IS0hyzjSfx1DKlbKnXj0iQSNyubOKirlizxVmj__bpKgRNiZGnGmmfesV4T8pbCNZUKPoGIKYK6ps_IJVWJihmT-DzUwGgMgtML8sr7OwiBiC_JBVXIE6nYJbG6mJulLkxdRlkxj_S337dFlldmW0a5KaqtWa9XxTKq9M3GbLN1lH2ui3lW5DraZFWlt0UZmUUUuM0qD-0bU36tV5XR5Wvyom_23r055xmpF7rKv8RrszyhcctAyNg1QqFUUjWoZJe2ktJbaCWTnUQmFO-oYEqmnUCX8DRt-lRSZLzteyWScJIZ-Tjp3o_Dz6PzD_aw863b75sfbjh6yzlXCtP0vyBCwhJJZQCvJrAdB-9H19v7cXdoxkdLwZ5styDsyXZLA_v-LHq8PbjuL3n2OQBsAn7t9u7x30pWZxsECPslAp4e8W6au_MPw_hnDgVPmQpfPSMfpn7fDLb5Pu68rUsEmgDloATD5AnjzZR5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>20353818</pqid></control><display><type>article</type><title>ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES</title><source>Jstor Complete Legacy</source><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Yang, Guo-Jing ; Brook, Barry W. ; Whelan, Peter I. ; Cleland, Sam ; Bradshaw, Corey J. A.</creator><creatorcontrib>Yang, Guo-Jing ; Brook, Barry W. ; Whelan, Peter I. ; Cleland, Sam ; Bradshaw, Corey J. A.</creatorcontrib><description>The growing demand for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring data set describing the relative abundance of the saltmarsh mosquito (Aedes vigilax) in the greater Darwin region, northern Australia, was examined in a suite of Gompertz-logistic (GL) models with and without hypothesized environmental correlates (high tide frequency, rainfall, and relative humidity). High tide frequency and humidity were hypothesized to influence saltmarsh mosquito abundance positively, and rainfall was hypothesized to correlate negatively by reducing the availability of suitable habitats (moist substrata) required by ovipositing adult female mosquitoes. We also examined whether environmental correlates explained the variance in seasonal carrying capacity (K) because environmental stochasticity is hypothesized to modify population growth rate (r), carrying capacity, or both. Current and lagged-time effects were tested by comparing alternative population dynamics models using three different information criteria (Akaike's Information Criterion [corrected; AICc], Bayesian Information Criterion [BIC], and cross-validation [C-V]). The GL model with a two-month lag without environmental effects explained 31% of the deviance in population growth rate. This increased to &gt;70% under various model combinations of high tide frequency, rainfall, and relative humidity, of which, high tide frequency and rainfall had the highest contributions. Temporal variation in K was explained weakly by high tide frequency, and there was some evidence that the filling of depressions to reduce standing water availability has reduced Aedes vigilax carrying capacity over the study period. This study underscores the need to consider simultaneously both types of drivers (endogenous and exogenous) when predicting mosquito abundance and population growth patterns. This work also indicates that climate change, via continued increases in rainfall and higher expected frequencies and intensities of high tide events with sea level rise, will alter mosquito abundance trends in northern Australia.</description><identifier>ISSN: 1051-0761</identifier><identifier>EISSN: 1939-5582</identifier><identifier>DOI: 10.1890/07-1209.1</identifier><identifier>PMID: 19263895</identifier><language>eng</language><publisher>United States: Ecological Society of America</publisher><subject>Aedes ; Aedes - physiology ; Aedes vigilax ; Animals ; Australia ; Bayes Theorem ; Carrying capacity ; climatic factors ; density dependence ; disease ; Disease vectors ; Ecological modeling ; environmental monitoring ; habitats ; high tide frequency ; Humidity ; Malaria ; Marine ; Models, Biological ; mosquito control ; Mosquitos ; oviposition ; oviposition sites ; Population Density ; Population Dynamics ; Population growth rate ; Rain ; rainfall ; Relative humidity ; salt marshes ; sea level ; seasonal variation ; seawater ; simulation models ; spatial variation ; Stochastic Processes ; temporal variation ; tidal inundation ; Tidal Waves ; tides ; Time Factors ; Tropical Climate ; tropics</subject><ispartof>Ecological applications, 2008-12, Vol.18 (8), p.2028-2040</ispartof><rights>Copyright 2008 Ecological Society of America</rights><rights>2008 by the Ecological Society of America</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5078-ea7928989a298d4c811b0c858d825796d175984d72e3644af481256cff9739733</citedby><cites>FETCH-LOGICAL-c5078-ea7928989a298d4c811b0c858d825796d175984d72e3644af481256cff9739733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/27645919$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/27645919$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,1411,27901,27902,45550,45551,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19263895$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Guo-Jing</creatorcontrib><creatorcontrib>Brook, Barry W.</creatorcontrib><creatorcontrib>Whelan, Peter I.</creatorcontrib><creatorcontrib>Cleland, Sam</creatorcontrib><creatorcontrib>Bradshaw, Corey J. A.</creatorcontrib><title>ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES</title><title>Ecological applications</title><addtitle>Ecol Appl</addtitle><description>The growing demand for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring data set describing the relative abundance of the saltmarsh mosquito (Aedes vigilax) in the greater Darwin region, northern Australia, was examined in a suite of Gompertz-logistic (GL) models with and without hypothesized environmental correlates (high tide frequency, rainfall, and relative humidity). High tide frequency and humidity were hypothesized to influence saltmarsh mosquito abundance positively, and rainfall was hypothesized to correlate negatively by reducing the availability of suitable habitats (moist substrata) required by ovipositing adult female mosquitoes. We also examined whether environmental correlates explained the variance in seasonal carrying capacity (K) because environmental stochasticity is hypothesized to modify population growth rate (r), carrying capacity, or both. Current and lagged-time effects were tested by comparing alternative population dynamics models using three different information criteria (Akaike's Information Criterion [corrected; AICc], Bayesian Information Criterion [BIC], and cross-validation [C-V]). The GL model with a two-month lag without environmental effects explained 31% of the deviance in population growth rate. This increased to &gt;70% under various model combinations of high tide frequency, rainfall, and relative humidity, of which, high tide frequency and rainfall had the highest contributions. Temporal variation in K was explained weakly by high tide frequency, and there was some evidence that the filling of depressions to reduce standing water availability has reduced Aedes vigilax carrying capacity over the study period. This study underscores the need to consider simultaneously both types of drivers (endogenous and exogenous) when predicting mosquito abundance and population growth patterns. This work also indicates that climate change, via continued increases in rainfall and higher expected frequencies and intensities of high tide events with sea level rise, will alter mosquito abundance trends in northern Australia.</description><subject>Aedes</subject><subject>Aedes - physiology</subject><subject>Aedes vigilax</subject><subject>Animals</subject><subject>Australia</subject><subject>Bayes Theorem</subject><subject>Carrying capacity</subject><subject>climatic factors</subject><subject>density dependence</subject><subject>disease</subject><subject>Disease vectors</subject><subject>Ecological modeling</subject><subject>environmental monitoring</subject><subject>habitats</subject><subject>high tide frequency</subject><subject>Humidity</subject><subject>Malaria</subject><subject>Marine</subject><subject>Models, Biological</subject><subject>mosquito control</subject><subject>Mosquitos</subject><subject>oviposition</subject><subject>oviposition sites</subject><subject>Population Density</subject><subject>Population Dynamics</subject><subject>Population growth rate</subject><subject>Rain</subject><subject>rainfall</subject><subject>Relative humidity</subject><subject>salt marshes</subject><subject>sea level</subject><subject>seasonal variation</subject><subject>seawater</subject><subject>simulation models</subject><subject>spatial variation</subject><subject>Stochastic Processes</subject><subject>temporal variation</subject><subject>tidal inundation</subject><subject>Tidal Waves</subject><subject>tides</subject><subject>Time Factors</subject><subject>Tropical Climate</subject><subject>tropics</subject><issn>1051-0761</issn><issn>1939-5582</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU2P0zAQhi0EYpfCgR8A5IS0hyzjSfx1DKlbKnXj0iQSNyubOKirlizxVmj__bpKgRNiZGnGmmfesV4T8pbCNZUKPoGIKYK6ps_IJVWJihmT-DzUwGgMgtML8sr7OwiBiC_JBVXIE6nYJbG6mJulLkxdRlkxj_S337dFlldmW0a5KaqtWa9XxTKq9M3GbLN1lH2ui3lW5DraZFWlt0UZmUUUuM0qD-0bU36tV5XR5Wvyom_23r055xmpF7rKv8RrszyhcctAyNg1QqFUUjWoZJe2ktJbaCWTnUQmFO-oYEqmnUCX8DRt-lRSZLzteyWScJIZ-Tjp3o_Dz6PzD_aw863b75sfbjh6yzlXCtP0vyBCwhJJZQCvJrAdB-9H19v7cXdoxkdLwZ5styDsyXZLA_v-LHq8PbjuL3n2OQBsAn7t9u7x30pWZxsECPslAp4e8W6au_MPw_hnDgVPmQpfPSMfpn7fDLb5Pu68rUsEmgDloATD5AnjzZR5</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Yang, Guo-Jing</creator><creator>Brook, Barry W.</creator><creator>Whelan, Peter I.</creator><creator>Cleland, Sam</creator><creator>Bradshaw, Corey J. A.</creator><general>Ecological Society of America</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>7X8</scope></search><sort><creationdate>200812</creationdate><title>ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES</title><author>Yang, Guo-Jing ; Brook, Barry W. ; Whelan, Peter I. ; Cleland, Sam ; Bradshaw, Corey J. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5078-ea7928989a298d4c811b0c858d825796d175984d72e3644af481256cff9739733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Aedes</topic><topic>Aedes - physiology</topic><topic>Aedes vigilax</topic><topic>Animals</topic><topic>Australia</topic><topic>Bayes Theorem</topic><topic>Carrying capacity</topic><topic>climatic factors</topic><topic>density dependence</topic><topic>disease</topic><topic>Disease vectors</topic><topic>Ecological modeling</topic><topic>environmental monitoring</topic><topic>habitats</topic><topic>high tide frequency</topic><topic>Humidity</topic><topic>Malaria</topic><topic>Marine</topic><topic>Models, Biological</topic><topic>mosquito control</topic><topic>Mosquitos</topic><topic>oviposition</topic><topic>oviposition sites</topic><topic>Population Density</topic><topic>Population Dynamics</topic><topic>Population growth rate</topic><topic>Rain</topic><topic>rainfall</topic><topic>Relative humidity</topic><topic>salt marshes</topic><topic>sea level</topic><topic>seasonal variation</topic><topic>seawater</topic><topic>simulation models</topic><topic>spatial variation</topic><topic>Stochastic Processes</topic><topic>temporal variation</topic><topic>tidal inundation</topic><topic>Tidal Waves</topic><topic>tides</topic><topic>Time Factors</topic><topic>Tropical Climate</topic><topic>tropics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Guo-Jing</creatorcontrib><creatorcontrib>Brook, Barry W.</creatorcontrib><creatorcontrib>Whelan, Peter I.</creatorcontrib><creatorcontrib>Cleland, Sam</creatorcontrib><creatorcontrib>Bradshaw, Corey J. A.</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Ecological applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Guo-Jing</au><au>Brook, Barry W.</au><au>Whelan, Peter I.</au><au>Cleland, Sam</au><au>Bradshaw, Corey J. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES</atitle><jtitle>Ecological applications</jtitle><addtitle>Ecol Appl</addtitle><date>2008-12</date><risdate>2008</risdate><volume>18</volume><issue>8</issue><spage>2028</spage><epage>2040</epage><pages>2028-2040</pages><issn>1051-0761</issn><eissn>1939-5582</eissn><abstract>The growing demand for efficient and effective mosquito control requires a better understanding of vector population dynamics and how these are modified by endogenous and exogenous factors. A long-term (11-year) monitoring data set describing the relative abundance of the saltmarsh mosquito (Aedes vigilax) in the greater Darwin region, northern Australia, was examined in a suite of Gompertz-logistic (GL) models with and without hypothesized environmental correlates (high tide frequency, rainfall, and relative humidity). High tide frequency and humidity were hypothesized to influence saltmarsh mosquito abundance positively, and rainfall was hypothesized to correlate negatively by reducing the availability of suitable habitats (moist substrata) required by ovipositing adult female mosquitoes. We also examined whether environmental correlates explained the variance in seasonal carrying capacity (K) because environmental stochasticity is hypothesized to modify population growth rate (r), carrying capacity, or both. Current and lagged-time effects were tested by comparing alternative population dynamics models using three different information criteria (Akaike's Information Criterion [corrected; AICc], Bayesian Information Criterion [BIC], and cross-validation [C-V]). The GL model with a two-month lag without environmental effects explained 31% of the deviance in population growth rate. This increased to &gt;70% under various model combinations of high tide frequency, rainfall, and relative humidity, of which, high tide frequency and rainfall had the highest contributions. Temporal variation in K was explained weakly by high tide frequency, and there was some evidence that the filling of depressions to reduce standing water availability has reduced Aedes vigilax carrying capacity over the study period. This study underscores the need to consider simultaneously both types of drivers (endogenous and exogenous) when predicting mosquito abundance and population growth patterns. This work also indicates that climate change, via continued increases in rainfall and higher expected frequencies and intensities of high tide events with sea level rise, will alter mosquito abundance trends in northern Australia.</abstract><cop>United States</cop><pub>Ecological Society of America</pub><pmid>19263895</pmid><doi>10.1890/07-1209.1</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1051-0761
ispartof Ecological applications, 2008-12, Vol.18 (8), p.2028-2040
issn 1051-0761
1939-5582
language eng
recordid cdi_proquest_miscellaneous_66699244
source Jstor Complete Legacy; MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Aedes
Aedes - physiology
Aedes vigilax
Animals
Australia
Bayes Theorem
Carrying capacity
climatic factors
density dependence
disease
Disease vectors
Ecological modeling
environmental monitoring
habitats
high tide frequency
Humidity
Malaria
Marine
Models, Biological
mosquito control
Mosquitos
oviposition
oviposition sites
Population Density
Population Dynamics
Population growth rate
Rain
rainfall
Relative humidity
salt marshes
sea level
seasonal variation
seawater
simulation models
spatial variation
Stochastic Processes
temporal variation
tidal inundation
Tidal Waves
tides
Time Factors
Tropical Climate
tropics
title ENDOGENOUS AND EXOGENOUS FACTORS CONTROLLING TEMPORAL ABUNDANCE PATTERNS OF TROPICAL MOSQUITOES
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T20%3A49%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=ENDOGENOUS%20AND%20EXOGENOUS%20FACTORS%20CONTROLLING%20TEMPORAL%20ABUNDANCE%20PATTERNS%20OF%20TROPICAL%20MOSQUITOES&rft.jtitle=Ecological%20applications&rft.au=Yang,%20Guo-Jing&rft.date=2008-12&rft.volume=18&rft.issue=8&rft.spage=2028&rft.epage=2040&rft.pages=2028-2040&rft.issn=1051-0761&rft.eissn=1939-5582&rft_id=info:doi/10.1890/07-1209.1&rft_dat=%3Cjstor_proqu%3E27645919%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=20353818&rft_id=info:pmid/19263895&rft_jstor_id=27645919&rfr_iscdi=true