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Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce
Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand h...
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| Published in: | Biological invasions 2015-11, Vol.17 (11), p.3197-3210 |
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| Main Authors: | , , , , , , , , |
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| container_end_page | 3210 |
| container_issue | 11 |
| container_start_page | 3197 |
| container_title | Biological invasions |
| container_volume | 17 |
| creator | Martin, Tara G Murphy, Helen Liedloff, Adam Thomas, Colette Chadès, Iadine Cook, Garry Fensham, Rod McIvor, John van Klinken, Rieks D |
| description | Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrate the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected to become less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions. |
| doi_str_mv | 10.1007/s10530-015-0945-9 |
| format | article |
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As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrate the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected to become less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.</description><identifier>ISSN: 1387-3547</identifier><identifier>EISSN: 1573-1464</identifier><identifier>DOI: 10.1007/s10530-015-0945-9</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bayesian theory ; Biodiversity ; biogeography ; Biomedical and Life Sciences ; Cenchrus ciliaris ; climate ; Climate change ; cost effectiveness ; Data analysis ; Developmental Biology ; ecological invasion ; Ecology ; expert opinion ; Freshwater & Marine Ecology ; Grasses ; introduced plants ; invasive species ; Life Sciences ; Original Paper ; pastures ; Plant Sciences ; Predation ; risk ; space and time</subject><ispartof>Biological invasions, 2015-11, Vol.17 (11), p.3197-3210</ispartof><rights>Springer International Publishing Switzerland 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-260133339bd0b9cf28e8706d32d2fa24969e3a0b7e9626e62f68749d162c933b3</citedby><cites>FETCH-LOGICAL-c373t-260133339bd0b9cf28e8706d32d2fa24969e3a0b7e9626e62f68749d162c933b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids></links><search><creatorcontrib>Martin, Tara G</creatorcontrib><creatorcontrib>Murphy, Helen</creatorcontrib><creatorcontrib>Liedloff, Adam</creatorcontrib><creatorcontrib>Thomas, Colette</creatorcontrib><creatorcontrib>Chadès, Iadine</creatorcontrib><creatorcontrib>Cook, Garry</creatorcontrib><creatorcontrib>Fensham, Rod</creatorcontrib><creatorcontrib>McIvor, John</creatorcontrib><creatorcontrib>van Klinken, Rieks D</creatorcontrib><title>Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce</title><title>Biological invasions</title><addtitle>Biol Invasions</addtitle><description>Invasive species pose a substantial risk to native biodiversity. As distributions of invasive species shift in response to changes in climate so will management priorities and investment. To develop cost-effective invasive species management strategies into the future it is necessary to understand how species distributions are likely to change over time and space. For most species however, few data are available on their current distributions, let alone projected future distributions. We demonstrate the benefits of Bayesian Networks (BNs) for projecting distributions of invasive species under various climate futures, when empirical data are lacking. Using the introduced pasture species, buffel grass (Cenchrus ciliaris) in Australia as an example, we employ a framework by which expert knowledge and available empirical data are used to build a BN. 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In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.</description><subject>Bayesian theory</subject><subject>Biodiversity</subject><subject>biogeography</subject><subject>Biomedical and Life Sciences</subject><subject>Cenchrus ciliaris</subject><subject>climate</subject><subject>Climate change</subject><subject>cost effectiveness</subject><subject>Data analysis</subject><subject>Developmental Biology</subject><subject>ecological invasion</subject><subject>Ecology</subject><subject>expert opinion</subject><subject>Freshwater & Marine Ecology</subject><subject>Grasses</subject><subject>introduced plants</subject><subject>invasive species</subject><subject>Life Sciences</subject><subject>Original Paper</subject><subject>pastures</subject><subject>Plant Sciences</subject><subject>Predation</subject><subject>risk</subject><subject>space and time</subject><issn>1387-3547</issn><issn>1573-1464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kTFv1TAQxyMEEqX0AzBhiYUl5WzHdswGFW2RKjHQzpbjnF_9yIsfvqQV3x5XYUAM3OIbfv_T-X5N84bDOQcwH4iDktACVy3YTrX2WXPClZEt73T3vPayN61UnXnZvCLaA4A1oE6a_HmNESe2K56I-XlkYUoHvyAL937e4UfmWSz-gI-5_GAxF3YseY9hSfOOpfnBU3pARkcMCYmNiZaShnVJeSb2eI8zG_3imS-VCb4EfN28iH4iPPvznjZ3l19uL67bm29XXy8-3bRBGrm0QgOXtewwwmBDFD32BvQoxSiiF53VFqWHwaDVQqMWUfemsyPXIlgpB3navN_m1nV_rkiLOyQKOE1-xryS40YIbjrZqYq--wfd57XMdbtKcdUrKRVUim9UKJmoYHTHUg9VfjkO7kmB2xS4qsA9KXC2ZsSWocrWY5a_Jv8n9HYLRZ-d35VE7u67AK6rMyHqb-VvhqWR1g</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Martin, Tara G</creator><creator>Murphy, Helen</creator><creator>Liedloff, Adam</creator><creator>Thomas, Colette</creator><creator>Chadès, Iadine</creator><creator>Cook, Garry</creator><creator>Fensham, Rod</creator><creator>McIvor, John</creator><creator>van Klinken, Rieks D</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>FBQ</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>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>7ST</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope></search><sort><creationdate>20151101</creationdate><title>Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce</title><author>Martin, Tara G ; 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The framework models the susceptibility and suitability of the Australian continent to buffel grass colonization using three invasion requirements; the introduction of plant propagules to a site, the establishment of new plants at a site, and the persistence of established, reproducing populations. Our results highlight the potential for buffel grass management to become increasingly important in the southern part of the continent, whereas in the north conditions are projected to become less suitable. With respect to biodiversity impacts, our modelling suggests that the risk of buffel grass invasion within Australia’s National Reserve System is likely to increase with climate change as a result of the high number of reserves located in the central and southern portion of the continent. In situations where data are limited, we find BNs to be a flexible and inexpensive tool for incorporating existing process-understanding alongside bioclimatic and edaphic variables for projecting future distributions of species invasions.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s10530-015-0945-9</doi><tpages>14</tpages></addata></record> |
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| ispartof | Biological invasions, 2015-11, Vol.17 (11), p.3197-3210 |
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| subjects | Bayesian theory Biodiversity biogeography Biomedical and Life Sciences Cenchrus ciliaris climate Climate change cost effectiveness Data analysis Developmental Biology ecological invasion Ecology expert opinion Freshwater & Marine Ecology Grasses introduced plants invasive species Life Sciences Original Paper pastures Plant Sciences Predation risk space and time |
| title | Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce |
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