Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management
Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pat...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Novoa, Ana [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Biological invasions - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999, 22(2020), 5 vom: 02. März, Seite 1801-1820 |
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| Übergeordnetes Werk: |
volume:22 ; year:2020 ; number:5 ; day:02 ; month:03 ; pages:1801-1820 |
| Links: |
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| DOI / URN: |
10.1007/s10530-020-02220-w |
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| Katalog-ID: |
SPR039509222 |
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| 100 | 1 | |a Novoa, Ana |e verfasserin |0 (orcid)0000-0001-7092-3917 |4 aut | |
| 245 | 1 | 0 | |a Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
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| 520 | |a Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. | ||
| 650 | 4 | |a Biological invasions |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Context dependency |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Invasion science |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Invasive species |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Pyšek, Petr |0 (orcid)0000-0001-8500-442X |4 aut | |
| 700 | 1 | |a Meyerson, Laura A. |0 (orcid)0000-0002-1283-3865 |4 aut | |
| 700 | 1 | |a Bacher, Sven |0 (orcid)0000-0001-5147-7165 |4 aut | |
| 700 | 1 | |a Canavan, Susan |0 (orcid)0000-0002-7972-7928 |4 aut | |
| 700 | 1 | |a Catford, Jane A. |0 (orcid)0000-0003-0582-5960 |4 aut | |
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| 700 | 1 | |a Essl, Franz |0 (orcid)0000-0001-8253-2112 |4 aut | |
| 700 | 1 | |a Foxcroft, Llewellyn C. |0 (orcid)0000-0002-7071-6739 |4 aut | |
| 700 | 1 | |a Genovesi, Piero |0 (orcid)0000-0002-0262-1420 |4 aut | |
| 700 | 1 | |a Hirsch, Heidi |0 (orcid)0000-0001-6506-5655 |4 aut | |
| 700 | 1 | |a Hui, Cang |0 (orcid)0000-0002-3660-8160 |4 aut | |
| 700 | 1 | |a Jackson, Michele C. |4 aut | |
| 700 | 1 | |a Kueffer, Christoph |0 (orcid)0000-0001-6701-0703 |4 aut | |
| 700 | 1 | |a Le Roux, Johannes J. |0 (orcid)0000-0001-7911-9810 |4 aut | |
| 700 | 1 | |a Measey, John |0 (orcid)0000-0001-9939-7615 |4 aut | |
| 700 | 1 | |a Mohanty, Nitya P. |0 (orcid)0000-0001-7768-6483 |4 aut | |
| 700 | 1 | |a Moodley, Desika |0 (orcid)0000-0002-0788-2136 |4 aut | |
| 700 | 1 | |a Müller-Schärer, Heinz |0 (orcid)0000-0003-0936-1470 |4 aut | |
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| 700 | 1 | |a Wilson, John R. U. |0 (orcid)0000-0003-0174-3239 |4 aut | |
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10.1007/s10530-020-02220-w doi (DE-627)SPR039509222 (SPR)s10530-020-02220-w-e DE-627 ger DE-627 rakwb eng Novoa, Ana verfasserin (orcid)0000-0001-7092-3917 aut Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2020 Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 Richardson, David M. (orcid)0000-0001-9574-8297 aut Pyšek, Petr (orcid)0000-0001-8500-442X aut Meyerson, Laura A. (orcid)0000-0002-1283-3865 aut Bacher, Sven (orcid)0000-0001-5147-7165 aut Canavan, Susan (orcid)0000-0002-7972-7928 aut Catford, Jane A. (orcid)0000-0003-0582-5960 aut Čuda, Jan (orcid)0000-0002-2370-2051 aut Essl, Franz (orcid)0000-0001-8253-2112 aut Foxcroft, Llewellyn C. (orcid)0000-0002-7071-6739 aut Genovesi, Piero (orcid)0000-0002-0262-1420 aut Hirsch, Heidi (orcid)0000-0001-6506-5655 aut Hui, Cang (orcid)0000-0002-3660-8160 aut Jackson, Michele C. aut Kueffer, Christoph (orcid)0000-0001-6701-0703 aut Le Roux, Johannes J. (orcid)0000-0001-7911-9810 aut Measey, John (orcid)0000-0001-9939-7615 aut Mohanty, Nitya P. (orcid)0000-0001-7768-6483 aut Moodley, Desika (orcid)0000-0002-0788-2136 aut Müller-Schärer, Heinz (orcid)0000-0003-0936-1470 aut Packer, Jasmin G. (orcid)0000-0002-6194-1299 aut Pergl, Jan (orcid)0000-0002-0045-1974 aut Robinson, Tamara B. (orcid)0000-0001-5515-1445 aut Saul, Wolf-Christian (orcid)0000-0002-3584-6159 aut Shackleton, Ross T. (orcid)0000-0001-5628-4506 aut Visser, Vernon (orcid)0000-0003-2444-5015 aut Weyl, Olaf L. F. (orcid)0000-0002-8935-3296 aut Yannelli, Florencia A. (orcid)0000-0003-1544-5312 aut Wilson, John R. U. (orcid)0000-0003-0174-3239 aut Enthalten in Biological invasions Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999 22(2020), 5 vom: 02. März, Seite 1801-1820 (DE-627)320524477 (DE-600)2014991-8 1573-1464 nnns volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 https://dx.doi.org/10.1007/s10530-020-02220-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2020 5 02 03 1801-1820 |
| spelling |
10.1007/s10530-020-02220-w doi (DE-627)SPR039509222 (SPR)s10530-020-02220-w-e DE-627 ger DE-627 rakwb eng Novoa, Ana verfasserin (orcid)0000-0001-7092-3917 aut Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2020 Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 Richardson, David M. (orcid)0000-0001-9574-8297 aut Pyšek, Petr (orcid)0000-0001-8500-442X aut Meyerson, Laura A. (orcid)0000-0002-1283-3865 aut Bacher, Sven (orcid)0000-0001-5147-7165 aut Canavan, Susan (orcid)0000-0002-7972-7928 aut Catford, Jane A. (orcid)0000-0003-0582-5960 aut Čuda, Jan (orcid)0000-0002-2370-2051 aut Essl, Franz (orcid)0000-0001-8253-2112 aut Foxcroft, Llewellyn C. (orcid)0000-0002-7071-6739 aut Genovesi, Piero (orcid)0000-0002-0262-1420 aut Hirsch, Heidi (orcid)0000-0001-6506-5655 aut Hui, Cang (orcid)0000-0002-3660-8160 aut Jackson, Michele C. aut Kueffer, Christoph (orcid)0000-0001-6701-0703 aut Le Roux, Johannes J. (orcid)0000-0001-7911-9810 aut Measey, John (orcid)0000-0001-9939-7615 aut Mohanty, Nitya P. (orcid)0000-0001-7768-6483 aut Moodley, Desika (orcid)0000-0002-0788-2136 aut Müller-Schärer, Heinz (orcid)0000-0003-0936-1470 aut Packer, Jasmin G. (orcid)0000-0002-6194-1299 aut Pergl, Jan (orcid)0000-0002-0045-1974 aut Robinson, Tamara B. (orcid)0000-0001-5515-1445 aut Saul, Wolf-Christian (orcid)0000-0002-3584-6159 aut Shackleton, Ross T. (orcid)0000-0001-5628-4506 aut Visser, Vernon (orcid)0000-0003-2444-5015 aut Weyl, Olaf L. F. (orcid)0000-0002-8935-3296 aut Yannelli, Florencia A. (orcid)0000-0003-1544-5312 aut Wilson, John R. U. (orcid)0000-0003-0174-3239 aut Enthalten in Biological invasions Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999 22(2020), 5 vom: 02. März, Seite 1801-1820 (DE-627)320524477 (DE-600)2014991-8 1573-1464 nnns volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 https://dx.doi.org/10.1007/s10530-020-02220-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2020 5 02 03 1801-1820 |
| allfields_unstemmed |
10.1007/s10530-020-02220-w doi (DE-627)SPR039509222 (SPR)s10530-020-02220-w-e DE-627 ger DE-627 rakwb eng Novoa, Ana verfasserin (orcid)0000-0001-7092-3917 aut Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2020 Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 Richardson, David M. (orcid)0000-0001-9574-8297 aut Pyšek, Petr (orcid)0000-0001-8500-442X aut Meyerson, Laura A. (orcid)0000-0002-1283-3865 aut Bacher, Sven (orcid)0000-0001-5147-7165 aut Canavan, Susan (orcid)0000-0002-7972-7928 aut Catford, Jane A. (orcid)0000-0003-0582-5960 aut Čuda, Jan (orcid)0000-0002-2370-2051 aut Essl, Franz (orcid)0000-0001-8253-2112 aut Foxcroft, Llewellyn C. (orcid)0000-0002-7071-6739 aut Genovesi, Piero (orcid)0000-0002-0262-1420 aut Hirsch, Heidi (orcid)0000-0001-6506-5655 aut Hui, Cang (orcid)0000-0002-3660-8160 aut Jackson, Michele C. aut Kueffer, Christoph (orcid)0000-0001-6701-0703 aut Le Roux, Johannes J. (orcid)0000-0001-7911-9810 aut Measey, John (orcid)0000-0001-9939-7615 aut Mohanty, Nitya P. (orcid)0000-0001-7768-6483 aut Moodley, Desika (orcid)0000-0002-0788-2136 aut Müller-Schärer, Heinz (orcid)0000-0003-0936-1470 aut Packer, Jasmin G. (orcid)0000-0002-6194-1299 aut Pergl, Jan (orcid)0000-0002-0045-1974 aut Robinson, Tamara B. (orcid)0000-0001-5515-1445 aut Saul, Wolf-Christian (orcid)0000-0002-3584-6159 aut Shackleton, Ross T. (orcid)0000-0001-5628-4506 aut Visser, Vernon (orcid)0000-0003-2444-5015 aut Weyl, Olaf L. F. (orcid)0000-0002-8935-3296 aut Yannelli, Florencia A. (orcid)0000-0003-1544-5312 aut Wilson, John R. U. (orcid)0000-0003-0174-3239 aut Enthalten in Biological invasions Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999 22(2020), 5 vom: 02. März, Seite 1801-1820 (DE-627)320524477 (DE-600)2014991-8 1573-1464 nnns volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 https://dx.doi.org/10.1007/s10530-020-02220-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2020 5 02 03 1801-1820 |
| allfieldsGer |
10.1007/s10530-020-02220-w doi (DE-627)SPR039509222 (SPR)s10530-020-02220-w-e DE-627 ger DE-627 rakwb eng Novoa, Ana verfasserin (orcid)0000-0001-7092-3917 aut Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2020 Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 Richardson, David M. (orcid)0000-0001-9574-8297 aut Pyšek, Petr (orcid)0000-0001-8500-442X aut Meyerson, Laura A. (orcid)0000-0002-1283-3865 aut Bacher, Sven (orcid)0000-0001-5147-7165 aut Canavan, Susan (orcid)0000-0002-7972-7928 aut Catford, Jane A. (orcid)0000-0003-0582-5960 aut Čuda, Jan (orcid)0000-0002-2370-2051 aut Essl, Franz (orcid)0000-0001-8253-2112 aut Foxcroft, Llewellyn C. (orcid)0000-0002-7071-6739 aut Genovesi, Piero (orcid)0000-0002-0262-1420 aut Hirsch, Heidi (orcid)0000-0001-6506-5655 aut Hui, Cang (orcid)0000-0002-3660-8160 aut Jackson, Michele C. aut Kueffer, Christoph (orcid)0000-0001-6701-0703 aut Le Roux, Johannes J. (orcid)0000-0001-7911-9810 aut Measey, John (orcid)0000-0001-9939-7615 aut Mohanty, Nitya P. (orcid)0000-0001-7768-6483 aut Moodley, Desika (orcid)0000-0002-0788-2136 aut Müller-Schärer, Heinz (orcid)0000-0003-0936-1470 aut Packer, Jasmin G. (orcid)0000-0002-6194-1299 aut Pergl, Jan (orcid)0000-0002-0045-1974 aut Robinson, Tamara B. (orcid)0000-0001-5515-1445 aut Saul, Wolf-Christian (orcid)0000-0002-3584-6159 aut Shackleton, Ross T. (orcid)0000-0001-5628-4506 aut Visser, Vernon (orcid)0000-0003-2444-5015 aut Weyl, Olaf L. F. (orcid)0000-0002-8935-3296 aut Yannelli, Florencia A. (orcid)0000-0003-1544-5312 aut Wilson, John R. U. (orcid)0000-0003-0174-3239 aut Enthalten in Biological invasions Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999 22(2020), 5 vom: 02. März, Seite 1801-1820 (DE-627)320524477 (DE-600)2014991-8 1573-1464 nnns volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 https://dx.doi.org/10.1007/s10530-020-02220-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2020 5 02 03 1801-1820 |
| allfieldsSound |
10.1007/s10530-020-02220-w doi (DE-627)SPR039509222 (SPR)s10530-020-02220-w-e DE-627 ger DE-627 rakwb eng Novoa, Ana verfasserin (orcid)0000-0001-7092-3917 aut Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2020 Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 Richardson, David M. (orcid)0000-0001-9574-8297 aut Pyšek, Petr (orcid)0000-0001-8500-442X aut Meyerson, Laura A. (orcid)0000-0002-1283-3865 aut Bacher, Sven (orcid)0000-0001-5147-7165 aut Canavan, Susan (orcid)0000-0002-7972-7928 aut Catford, Jane A. (orcid)0000-0003-0582-5960 aut Čuda, Jan (orcid)0000-0002-2370-2051 aut Essl, Franz (orcid)0000-0001-8253-2112 aut Foxcroft, Llewellyn C. (orcid)0000-0002-7071-6739 aut Genovesi, Piero (orcid)0000-0002-0262-1420 aut Hirsch, Heidi (orcid)0000-0001-6506-5655 aut Hui, Cang (orcid)0000-0002-3660-8160 aut Jackson, Michele C. aut Kueffer, Christoph (orcid)0000-0001-6701-0703 aut Le Roux, Johannes J. (orcid)0000-0001-7911-9810 aut Measey, John (orcid)0000-0001-9939-7615 aut Mohanty, Nitya P. (orcid)0000-0001-7768-6483 aut Moodley, Desika (orcid)0000-0002-0788-2136 aut Müller-Schärer, Heinz (orcid)0000-0003-0936-1470 aut Packer, Jasmin G. (orcid)0000-0002-6194-1299 aut Pergl, Jan (orcid)0000-0002-0045-1974 aut Robinson, Tamara B. (orcid)0000-0001-5515-1445 aut Saul, Wolf-Christian (orcid)0000-0002-3584-6159 aut Shackleton, Ross T. (orcid)0000-0001-5628-4506 aut Visser, Vernon (orcid)0000-0003-2444-5015 aut Weyl, Olaf L. F. (orcid)0000-0002-8935-3296 aut Yannelli, Florencia A. (orcid)0000-0003-1544-5312 aut Wilson, John R. U. (orcid)0000-0003-0174-3239 aut Enthalten in Biological invasions Dordrecht [u.a.] : Springer Science + Business Media B.V., 1999 22(2020), 5 vom: 02. März, Seite 1801-1820 (DE-627)320524477 (DE-600)2014991-8 1573-1464 nnns volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 https://dx.doi.org/10.1007/s10530-020-02220-w kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 22 2020 5 02 03 1801-1820 |
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Enthalten in Biological invasions 22(2020), 5 vom: 02. März, Seite 1801-1820 volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 |
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Enthalten in Biological invasions 22(2020), 5 vom: 02. März, Seite 1801-1820 volume:22 year:2020 number:5 day:02 month:03 pages:1801-1820 |
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Novoa, Ana @@aut@@ Richardson, David M. @@aut@@ Pyšek, Petr @@aut@@ Meyerson, Laura A. @@aut@@ Bacher, Sven @@aut@@ Canavan, Susan @@aut@@ Catford, Jane A. @@aut@@ Čuda, Jan @@aut@@ Essl, Franz @@aut@@ Foxcroft, Llewellyn C. @@aut@@ Genovesi, Piero @@aut@@ Hirsch, Heidi @@aut@@ Hui, Cang @@aut@@ Jackson, Michele C. @@aut@@ Kueffer, Christoph @@aut@@ Le Roux, Johannes J. @@aut@@ Measey, John @@aut@@ Mohanty, Nitya P. @@aut@@ Moodley, Desika @@aut@@ Müller-Schärer, Heinz @@aut@@ Packer, Jasmin G. @@aut@@ Pergl, Jan @@aut@@ Robinson, Tamara B. @@aut@@ Saul, Wolf-Christian @@aut@@ Shackleton, Ross T. @@aut@@ Visser, Vernon @@aut@@ Weyl, Olaf L. F. @@aut@@ Yannelli, Florencia A. @@aut@@ Wilson, John R. U. @@aut@@ |
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Novoa, Ana misc Biological invasions misc Context dependency misc Invasion science misc Invasive species Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
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Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management Biological invasions (dpeaa)DE-He213 Context dependency (dpeaa)DE-He213 Invasion science (dpeaa)DE-He213 Invasive species (dpeaa)DE-He213 |
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Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
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Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
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Novoa, Ana Richardson, David M. Pyšek, Petr Meyerson, Laura A. Bacher, Sven Canavan, Susan Catford, Jane A. Čuda, Jan Essl, Franz Foxcroft, Llewellyn C. Genovesi, Piero Hirsch, Heidi Hui, Cang Jackson, Michele C. Kueffer, Christoph Le Roux, Johannes J. Measey, John Mohanty, Nitya P. Moodley, Desika Müller-Schärer, Heinz Packer, Jasmin G. Pergl, Jan Robinson, Tamara B. Saul, Wolf-Christian Shackleton, Ross T. Visser, Vernon Weyl, Olaf L. F. Yannelli, Florencia A. Wilson, John R. U. |
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10.1007/s10530-020-02220-w |
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invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
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Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management |
| abstract |
Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. © The Author(s) 2020 |
| abstractGer |
Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. © The Author(s) 2020 |
| abstract_unstemmed |
Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. We argue that invasion syndromes can account for the context-dependency of biological invasions while incorporating insights from comparative studies. Adopting this approach will help to structure thinking, identify transferrable risk assessment and management lessons, and highlight similarities among events that were previously considered disparate invasion phenomena. © The Author(s) 2020 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR039509222</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507083752.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10530-020-02220-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR039509222</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10530-020-02220-w-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Novoa, Ana</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-7092-3917</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Invasion syndromes: a systematic approach for predicting biological invasions and facilitating effective management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s) 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Our ability to predict invasions has been hindered by the seemingly idiosyncratic context-dependency of individual invasions. However, we argue that robust and useful generalisations in invasion science can be made by considering “invasion syndromes” which we define as “a combination of pathways, alien species traits, and characteristics of the recipient ecosystem which collectively result in predictable dynamics and impacts, and that can be managed effectively using specific policy and management actions”. We describe this approach and outline examples that highlight its utility, including: cacti with clonal fragmentation in arid ecosystems; small aquatic organisms introduced through ballast water in harbours; large ranid frogs with frequent secondary transfers; piscivorous freshwater fishes in connected aquatic ecosystems; plant invasions in high-elevation areas; tall-statured grasses; and tree-feeding insects in forests with suitable hosts. We propose a systematic method for identifying and delimiting invasion syndromes. 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| score |
7.399255 |