Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America
Invasion of nonindigenous species is considered one of the most urgent problems affecting native ecosystems and agricultural systems. Mechanistic models that account for short-term population dynamics can improve prediction because they incorporate differing demographic processes that link the envir...
Gespeichert in:
Veröffentlicht in: | Biological invasions 2023-08, Vol.25 (8), p.2461-2476 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2476 |
---|---|
container_issue | 8 |
container_start_page | 2461 |
container_title | Biological invasions |
container_volume | 25 |
creator | Miller, Ryan S. Tabak, Michael A. Wolfson, David W. Burdett, Christopher L. |
description | Invasion of nonindigenous species is considered one of the most urgent problems affecting native ecosystems and agricultural systems. Mechanistic models that account for short-term population dynamics can improve prediction because they incorporate differing demographic processes that link the environmental conditions of a spatial location explicitly with the invasion process. Yet short-term population dynamics are rarely accounted for in spatial models of invasive species spread.
Accounting for transient (short-term) population dynamics that arise from the interaction of age structure and vital rates, we predict the stochastic population growth rate and establishment probability of wild pigs following introduction into any location in North America. Established ecological theory suggests that the rate of spatial spread is proportional to population growth rate. Using observed geographic distribution data for wild pigs we calculated geographic spread rates (watersheds/year) from 1982 to 2021. We investigated if observed spread rates increased in watersheds with higher stochastic population growth rates. Stochastic population growth rate and establishment probability of wild pigs increased with increasing initial population (propagule) size and length of establishment time. Areas along the Mississippi, Ohio, and lower portions of the Missouri river drainages had the highest probability of wild pig establishment with many regions having probabilities close to 1. Spread rates demonstrated strong spatial heterogeneity with the greatest rates of spread (5.8 watersheds/year) occurring from 2008 to 2013 prior to the establishment of a National wild pig control program in 2013. Spread rates declined 82% (0.57 watersheds/year) in the period from 2013 to 2021 compared to the period from 1982 to 2013. We found significant positive associations among stochastic population growth rate and observed geographic rates of spread. Stochastic population growth rate explained a large amount of variation (79.3–92.1%) in annual rate of watershed spread of wild pigs. Our predicted probabilities of establishment and population growth can be used to inform surveillance and control efforts to reduce the potential for establishment and spread of wild pigs. |
doi_str_mv | 10.1007/s10530-023-03047-x |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2829114825</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3040442990</sourcerecordid><originalsourceid>FETCH-LOGICAL-c347t-6e19fb3db5ec10a69c2f10720bac72903b3960b595216b4a517e991f41940ba93</originalsourceid><addsrcrecordid>eNp9kc1r3DAQxUVpoemm_0BPgl56cTL6slbHEPoRCOklPYuxPN4o2LIrebfJfx9tt1DooacZht97DO8x9kHAhQCwl0WAUdCAVA0o0LZ5esXOhLGqEbrVr-uutrZRRtu37F0pjwDgLJgzdrjPmEqktPJlXvYjrnFOvH9OOMVQeJ_jgfj6QLwsmbDn88BjOmA5nn_FsedL3BWOqeeZDoQjj9OCYS1HcMKEO5qO3jHxuzmvD_xqohwDnrM3A46F3v-ZG_bjy-f762_N7fevN9dXt01Q2q5NS8INneo7Q0EAti7IQYCV0GGw0oHqlGuhM85I0XYajbDknBi0cLoyTm3Yp5Pvkuefeyqrn2IJNI6YaN4XX7MCraWrVhv28R_0cd7nVL_zciudEHorTaXkiQp5LiXT4JccJ8zPXoA_VuFPVfhahf9dhX-qInUS1RBj2lH-a_0f1QuY14z0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2829114825</pqid></control><display><type>article</type><title>Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America</title><source>SpringerLink Journals</source><creator>Miller, Ryan S. ; Tabak, Michael A. ; Wolfson, David W. ; Burdett, Christopher L.</creator><creatorcontrib>Miller, Ryan S. ; Tabak, Michael A. ; Wolfson, David W. ; Burdett, Christopher L.</creatorcontrib><description>Invasion of nonindigenous species is considered one of the most urgent problems affecting native ecosystems and agricultural systems. Mechanistic models that account for short-term population dynamics can improve prediction because they incorporate differing demographic processes that link the environmental conditions of a spatial location explicitly with the invasion process. Yet short-term population dynamics are rarely accounted for in spatial models of invasive species spread.
Accounting for transient (short-term) population dynamics that arise from the interaction of age structure and vital rates, we predict the stochastic population growth rate and establishment probability of wild pigs following introduction into any location in North America. Established ecological theory suggests that the rate of spatial spread is proportional to population growth rate. Using observed geographic distribution data for wild pigs we calculated geographic spread rates (watersheds/year) from 1982 to 2021. We investigated if observed spread rates increased in watersheds with higher stochastic population growth rates. Stochastic population growth rate and establishment probability of wild pigs increased with increasing initial population (propagule) size and length of establishment time. Areas along the Mississippi, Ohio, and lower portions of the Missouri river drainages had the highest probability of wild pig establishment with many regions having probabilities close to 1. Spread rates demonstrated strong spatial heterogeneity with the greatest rates of spread (5.8 watersheds/year) occurring from 2008 to 2013 prior to the establishment of a National wild pig control program in 2013. Spread rates declined 82% (0.57 watersheds/year) in the period from 2013 to 2021 compared to the period from 1982 to 2013. We found significant positive associations among stochastic population growth rate and observed geographic rates of spread. Stochastic population growth rate explained a large amount of variation (79.3–92.1%) in annual rate of watershed spread of wild pigs. Our predicted probabilities of establishment and population growth can be used to inform surveillance and control efforts to reduce the potential for establishment and spread of wild pigs.</description><identifier>ISSN: 1387-3547</identifier><identifier>EISSN: 1573-1464</identifier><identifier>DOI: 10.1007/s10530-023-03047-x</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age composition ; age structure ; Agricultural ecosystems ; Biomedical and Life Sciences ; Developmental Biology ; Dynamics ; Ecology ; Environment models ; Environmental conditions ; Farming systems ; Freshwater & Marine Ecology ; Geographical distribution ; Growth rate ; Heterogeneity ; Hogs ; Introduced species ; Invasive species ; Life Sciences ; Mississippi ; Missouri River ; monitoring ; Ohio ; Original Paper ; Plant Sciences ; Population dynamics ; Population growth ; prediction ; Probability ; Probability theory ; Spatial heterogeneity ; spatial variation ; Swine ; Watersheds</subject><ispartof>Biological invasions, 2023-08, Vol.25 (8), p.2461-2476</ispartof><rights>This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023</rights><rights>This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c347t-6e19fb3db5ec10a69c2f10720bac72903b3960b595216b4a517e991f41940ba93</cites><orcidid>0000-0003-3892-0251</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10530-023-03047-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10530-023-03047-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Miller, Ryan S.</creatorcontrib><creatorcontrib>Tabak, Michael A.</creatorcontrib><creatorcontrib>Wolfson, David W.</creatorcontrib><creatorcontrib>Burdett, Christopher L.</creatorcontrib><title>Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America</title><title>Biological invasions</title><addtitle>Biol Invasions</addtitle><description>Invasion of nonindigenous species is considered one of the most urgent problems affecting native ecosystems and agricultural systems. Mechanistic models that account for short-term population dynamics can improve prediction because they incorporate differing demographic processes that link the environmental conditions of a spatial location explicitly with the invasion process. Yet short-term population dynamics are rarely accounted for in spatial models of invasive species spread.
Accounting for transient (short-term) population dynamics that arise from the interaction of age structure and vital rates, we predict the stochastic population growth rate and establishment probability of wild pigs following introduction into any location in North America. Established ecological theory suggests that the rate of spatial spread is proportional to population growth rate. Using observed geographic distribution data for wild pigs we calculated geographic spread rates (watersheds/year) from 1982 to 2021. We investigated if observed spread rates increased in watersheds with higher stochastic population growth rates. Stochastic population growth rate and establishment probability of wild pigs increased with increasing initial population (propagule) size and length of establishment time. Areas along the Mississippi, Ohio, and lower portions of the Missouri river drainages had the highest probability of wild pig establishment with many regions having probabilities close to 1. Spread rates demonstrated strong spatial heterogeneity with the greatest rates of spread (5.8 watersheds/year) occurring from 2008 to 2013 prior to the establishment of a National wild pig control program in 2013. Spread rates declined 82% (0.57 watersheds/year) in the period from 2013 to 2021 compared to the period from 1982 to 2013. We found significant positive associations among stochastic population growth rate and observed geographic rates of spread. Stochastic population growth rate explained a large amount of variation (79.3–92.1%) in annual rate of watershed spread of wild pigs. Our predicted probabilities of establishment and population growth can be used to inform surveillance and control efforts to reduce the potential for establishment and spread of wild pigs.</description><subject>Age composition</subject><subject>age structure</subject><subject>Agricultural ecosystems</subject><subject>Biomedical and Life Sciences</subject><subject>Developmental Biology</subject><subject>Dynamics</subject><subject>Ecology</subject><subject>Environment models</subject><subject>Environmental conditions</subject><subject>Farming systems</subject><subject>Freshwater & Marine Ecology</subject><subject>Geographical distribution</subject><subject>Growth rate</subject><subject>Heterogeneity</subject><subject>Hogs</subject><subject>Introduced species</subject><subject>Invasive species</subject><subject>Life Sciences</subject><subject>Mississippi</subject><subject>Missouri River</subject><subject>monitoring</subject><subject>Ohio</subject><subject>Original Paper</subject><subject>Plant Sciences</subject><subject>Population dynamics</subject><subject>Population growth</subject><subject>prediction</subject><subject>Probability</subject><subject>Probability theory</subject><subject>Spatial heterogeneity</subject><subject>spatial variation</subject><subject>Swine</subject><subject>Watersheds</subject><issn>1387-3547</issn><issn>1573-1464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kc1r3DAQxUVpoemm_0BPgl56cTL6slbHEPoRCOklPYuxPN4o2LIrebfJfx9tt1DooacZht97DO8x9kHAhQCwl0WAUdCAVA0o0LZ5esXOhLGqEbrVr-uutrZRRtu37F0pjwDgLJgzdrjPmEqktPJlXvYjrnFOvH9OOMVQeJ_jgfj6QLwsmbDn88BjOmA5nn_FsedL3BWOqeeZDoQjj9OCYS1HcMKEO5qO3jHxuzmvD_xqohwDnrM3A46F3v-ZG_bjy-f762_N7fevN9dXt01Q2q5NS8INneo7Q0EAti7IQYCV0GGw0oHqlGuhM85I0XYajbDknBi0cLoyTm3Yp5Pvkuefeyqrn2IJNI6YaN4XX7MCraWrVhv28R_0cd7nVL_zciudEHorTaXkiQp5LiXT4JccJ8zPXoA_VuFPVfhahf9dhX-qInUS1RBj2lH-a_0f1QuY14z0</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Miller, Ryan S.</creator><creator>Tabak, Michael A.</creator><creator>Wolfson, David W.</creator><creator>Burdett, Christopher L.</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>88A</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0003-3892-0251</orcidid></search><sort><creationdate>20230801</creationdate><title>Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America</title><author>Miller, Ryan S. ; Tabak, Michael A. ; Wolfson, David W. ; Burdett, Christopher L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-6e19fb3db5ec10a69c2f10720bac72903b3960b595216b4a517e991f41940ba93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age composition</topic><topic>age structure</topic><topic>Agricultural ecosystems</topic><topic>Biomedical and Life Sciences</topic><topic>Developmental Biology</topic><topic>Dynamics</topic><topic>Ecology</topic><topic>Environment models</topic><topic>Environmental conditions</topic><topic>Farming systems</topic><topic>Freshwater & Marine Ecology</topic><topic>Geographical distribution</topic><topic>Growth rate</topic><topic>Heterogeneity</topic><topic>Hogs</topic><topic>Introduced species</topic><topic>Invasive species</topic><topic>Life Sciences</topic><topic>Mississippi</topic><topic>Missouri River</topic><topic>monitoring</topic><topic>Ohio</topic><topic>Original Paper</topic><topic>Plant Sciences</topic><topic>Population dynamics</topic><topic>Population growth</topic><topic>prediction</topic><topic>Probability</topic><topic>Probability theory</topic><topic>Spatial heterogeneity</topic><topic>spatial variation</topic><topic>Swine</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miller, Ryan S.</creatorcontrib><creatorcontrib>Tabak, Michael A.</creatorcontrib><creatorcontrib>Wolfson, David W.</creatorcontrib><creatorcontrib>Burdett, Christopher L.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Biology Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Biological invasions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miller, Ryan S.</au><au>Tabak, Michael A.</au><au>Wolfson, David W.</au><au>Burdett, Christopher L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America</atitle><jtitle>Biological invasions</jtitle><stitle>Biol Invasions</stitle><date>2023-08-01</date><risdate>2023</risdate><volume>25</volume><issue>8</issue><spage>2461</spage><epage>2476</epage><pages>2461-2476</pages><issn>1387-3547</issn><eissn>1573-1464</eissn><abstract>Invasion of nonindigenous species is considered one of the most urgent problems affecting native ecosystems and agricultural systems. Mechanistic models that account for short-term population dynamics can improve prediction because they incorporate differing demographic processes that link the environmental conditions of a spatial location explicitly with the invasion process. Yet short-term population dynamics are rarely accounted for in spatial models of invasive species spread.
Accounting for transient (short-term) population dynamics that arise from the interaction of age structure and vital rates, we predict the stochastic population growth rate and establishment probability of wild pigs following introduction into any location in North America. Established ecological theory suggests that the rate of spatial spread is proportional to population growth rate. Using observed geographic distribution data for wild pigs we calculated geographic spread rates (watersheds/year) from 1982 to 2021. We investigated if observed spread rates increased in watersheds with higher stochastic population growth rates. Stochastic population growth rate and establishment probability of wild pigs increased with increasing initial population (propagule) size and length of establishment time. Areas along the Mississippi, Ohio, and lower portions of the Missouri river drainages had the highest probability of wild pig establishment with many regions having probabilities close to 1. Spread rates demonstrated strong spatial heterogeneity with the greatest rates of spread (5.8 watersheds/year) occurring from 2008 to 2013 prior to the establishment of a National wild pig control program in 2013. Spread rates declined 82% (0.57 watersheds/year) in the period from 2013 to 2021 compared to the period from 1982 to 2013. We found significant positive associations among stochastic population growth rate and observed geographic rates of spread. Stochastic population growth rate explained a large amount of variation (79.3–92.1%) in annual rate of watershed spread of wild pigs. Our predicted probabilities of establishment and population growth can be used to inform surveillance and control efforts to reduce the potential for establishment and spread of wild pigs.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10530-023-03047-x</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-3892-0251</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1387-3547 |
ispartof | Biological invasions, 2023-08, Vol.25 (8), p.2461-2476 |
issn | 1387-3547 1573-1464 |
language | eng |
recordid | cdi_proquest_journals_2829114825 |
source | SpringerLink Journals |
subjects | Age composition age structure Agricultural ecosystems Biomedical and Life Sciences Developmental Biology Dynamics Ecology Environment models Environmental conditions Farming systems Freshwater & Marine Ecology Geographical distribution Growth rate Heterogeneity Hogs Introduced species Invasive species Life Sciences Mississippi Missouri River monitoring Ohio Original Paper Plant Sciences Population dynamics Population growth prediction Probability Probability theory Spatial heterogeneity spatial variation Swine Watersheds |
title | Transient population dynamics drive the spread of invasive wild pigs and reveal impacts of management in North America |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T01%3A02%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transient%20population%20dynamics%20drive%20the%20spread%20of%20invasive%20wild%20pigs%20and%20reveal%20impacts%20of%20management%20in%20North%20America&rft.jtitle=Biological%20invasions&rft.au=Miller,%20Ryan%20S.&rft.date=2023-08-01&rft.volume=25&rft.issue=8&rft.spage=2461&rft.epage=2476&rft.pages=2461-2476&rft.issn=1387-3547&rft.eissn=1573-1464&rft_id=info:doi/10.1007/s10530-023-03047-x&rft_dat=%3Cproquest_cross%3E3040442990%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2829114825&rft_id=info:pmid/&rfr_iscdi=true |