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Xu W, Bai Y, Xu T, Chen Y, Wang J, Li T, Liu Z, Liu H, Ruan H. Revealing potential mechanisms of native and non-native snail coexistence through fecal microbiomes and dietary compositions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 957:177774. [PMID: 39612711 DOI: 10.1016/j.scitotenv.2024.177774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Revised: 11/21/2024] [Accepted: 11/24/2024] [Indexed: 12/01/2024]
Abstract
Understanding how animals coexist within an ecosystem is essential for the conservation of biodiversity. In China, large populations of a non-native snail Rumina decollata (a highly invasive species reported by various other countries) coexist with two native snail species (Acusta ravida and Euphaedusa aculus). However, the potential mechanisms that facilitate this non-native and native snail coexistence remain uncertain. Here, we analyzed the fecal microbiomes and dietary compositions of R. decollata, A. ravida, and E. aculus to elucidate the mechanisms that drive the cohabitation of non-native and native species in Nanjing, China. It was found that the composition of the E. aculus fecal microbiome was similar to that of R. decollata, while it was significantly different from that of A. ravida. Furthermore, R. decollata preyed on E. aculus and had similar plant food compositions like A. ravida. These results indicated that the fecal microbiomes of snails may be adaptable to variable environmental conditions, while being minimally influenced by host genetics. R. decollata integrated a portion of the fecal microbes of E. aculus by preying on them. Our findings highlighted that the coexistence of R. decollata with native snails may have been due to abundant environmental resources, which negated the emergence of strong competition. However, the specific dietary changes of R. decollata and their propagation still need to be continuously monitored to better understand the long-term effects of R. decollata on ecosystems. This research provides a new understanding toward the prevention of invasive species and biodiversity conservation.
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Affiliation(s)
- Wei Xu
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Yawen Bai
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Tangjun Xu
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Yukun Chen
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Jiachen Wang
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Tengteng Li
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Zeyang Liu
- School of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Hongyi Liu
- Department of Zoology, College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China; Department of Ecology, College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China.
| | - Honghua Ruan
- Department of Ecology, College of Ecology and Environment, Nanjing Forestry University, Nanjing 210037, China
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Du Y, Wang X, Ashraf S, Tu W, Xi Y, Cui R, Chen S, Yu J, Han L, Gu S, Qu Y, Liu X. Climate match is key to predict range expansion of the world's worst invasive terrestrial vertebrates. GLOBAL CHANGE BIOLOGY 2024; 30:e17137. [PMID: 38273500 DOI: 10.1111/gcb.17137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/13/2023] [Accepted: 12/16/2023] [Indexed: 01/27/2024]
Abstract
Understanding the determinants of the range expansion of invasive alien species is crucial for developing effective prevention and control strategies. Nevertheless, we still lack a global picture of the potential factors influencing the invaded range expansion across taxonomic groups, especially for the world's worst invaders with high ecological and economic impacts. Here, by extensively collecting data on 363 distributional ranges of 19 of world's worst invasive terrestrial vertebrates across 135 invaded administrative jurisdictions, we observed remarkable variations in the range expansion across species and taxonomic groups. After controlling for taxonomic and geographic pseudoreplicates, model averaging analyses based on generalized additive mixed-effect models showed that species in invaded regions having climates more similar to those of their native ranges tended to undergo a larger range expansion. In addition, as proxies of propagule pressure and human-assisted transportation, the number of introduction events and the road network density were also important predictors facilitating the range expansion. Further variance partitioning analyses validated the predominant role of climate match in explaining the range expansion. Our study demonstrated that regions with similar climates to their native ranges could still be prioritized to prevent the spread of invasive species under the sustained global change.
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Affiliation(s)
- Yuanbao Du
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Xuyu Wang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Ecology, Lanzhou University, Lanzhou, Gansu Province, China
- Institute of Physical Science and Information Technology, Anhui University, Hefei, Anhui Province, China
| | - Sadia Ashraf
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Weishan Tu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui Province, China
| | - Yonghong Xi
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ruina Cui
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Shengnan Chen
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Southwest China Wildlife Resources Conservation (Ministry of Education), China West Normal University, Nanchong, Sichuan Province, China
| | - Jiajie Yu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Lixia Han
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, Hubei Province, China
| | - Shimin Gu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yanhua Qu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xuan Liu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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Evans T, Angulo E, Bradshaw CJA, Turbelin A, Courchamp F. Global economic costs of alien birds. PLoS One 2023; 18:e0292854. [PMID: 37851652 PMCID: PMC10584179 DOI: 10.1371/journal.pone.0292854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 10/01/2023] [Indexed: 10/20/2023] Open
Abstract
The adverse impacts of alien birds are widespread and diverse, and associated with costs due to the damage caused and actions required to manage them. We synthesised global cost data to identify variation across regions, types of impact, and alien bird species. Costs amount to US$3.6 billion, but this is likely a vast underestimate. Costs are low compared to other taxonomic groups assessed using the same methods; despite underreporting, alien birds are likely to be less damaging and easier to manage than many other alien taxa. Research to understand why this is the case could inform measures to reduce costs associated with biological invasions. Costs are biassed towards high-income regions and damaging environmental impacts, particularly on islands. Most costs on islands result from actions to protect biodiversity and tend to be low and one-off (temporary). Most costs at mainland locations result from damage by a few, widespread species. Some of these costs are high and ongoing (permanent). Actions to restrict alien bird invasions at mainland locations might prevent high, ongoing costs. Reports increased sharply after 2010, but many are for local actions to manage expanding alien bird populations. However, the successful eradication of these increasingly widespread species will require a coordinated, international response.
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Affiliation(s)
- Thomas Evans
- Ecologie Systématique et Evolution, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Elena Angulo
- Ecologie Systématique et Evolution, Université Paris-Saclay, Gif-sur-Yvette, France
- Estación Biológica de Doñana (CSIC), Seville, Spain
| | - Corey J. A. Bradshaw
- Global Ecology | Partuyarta Ngadluku Wardli Kuu, College of Science and Engineering, Flinders University, Adelaide, South Australia, Australia
- ARC Centre of Excellence for Australian Biodiversity and Heritage, EpicAustralia.org.au, Australia
| | - Anna Turbelin
- Ecologie Systématique et Evolution, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Franck Courchamp
- Ecologie Systématique et Evolution, Université Paris-Saclay, Gif-sur-Yvette, France
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Introduction and invasion of common myna (Acridotheres tristis) in Kruger National Park, South Africa: still time for action? Biol Invasions 2022. [DOI: 10.1007/s10530-022-02790-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Allmert T, Jeschke JM, Evans T. An assessment of the environmental and socio-economic impacts of alien rabbits and hares. AMBIO 2022; 51:1314-1329. [PMID: 34709588 PMCID: PMC8931149 DOI: 10.1007/s13280-021-01642-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 08/09/2021] [Accepted: 09/26/2021] [Indexed: 06/13/2023]
Abstract
Directly comparable data on the environmental and socio-economic impacts of alien species informs the effective prioritisation of their management. We used two frameworks, the Environmental Impact Classification for Alien Taxa (EICAT) and Socio-Economic Impact Classification for Alien Taxa (SEICAT), to create a unified dataset on the severity and type of impacts caused by alien leporids (rabbits and hares). Literature was reviewed to collate impact data, which was categorised following EICAT and SEICAT guidelines. We aimed to use these data to identify: (1) alien leporid species with severe impacts, (2) their impact mechanisms, (3) the native species and local communities vulnerable to impacts and (4) knowledge gaps. Native species from a range of taxonomic groups were affected by environmental impacts which tended to be more damaging than socio-economic impacts. Indirect environmental impacts were particularly damaging and underreported. No impact data were found for several alien leporid species.
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Affiliation(s)
- Tom Allmert
- Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany
- Present Address: Department of Biology, Humboldt-Universität zu Berlin, Invalidenstr. 42, 10115 Berlin, Germany
| | - Jonathan M. Jeschke
- Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Königin-Luise-Str. 2-4, 14195 Berlin, Germany
| | - Thomas Evans
- Institute of Biology, Freie Universität Berlin, Königin-Luise-Str. 1-3, 14195 Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Müggelseedamm 310, 12587 Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Königin-Luise-Str. 2-4, 14195 Berlin, Germany
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Marn N, Lika K, Augustine S, Goussen B, Ebeling M, Heckmann D, Gergs A. Energetic basis for bird ontogeny and egg-laying applied to the bobwhite quail. CONSERVATION PHYSIOLOGY 2022; 10:coac063. [PMID: 36159740 PMCID: PMC9492269 DOI: 10.1093/conphys/coac063] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 07/13/2022] [Accepted: 08/22/2022] [Indexed: 05/11/2023]
Abstract
Birds build up their reproductive system and undergo major tissue remodeling for each reproductive season. Energetic specifics of this process are still not completely clear, despite the increasing interest. We focused on the bobwhite quail - one of the most intensely studied species due to commercial and conservation interest - to elucidate the energy fluxes associated with reproduction, including the fate of the extra assimilates ingested prior to and during reproduction. We used the standard Dynamic Energy Budget model, which is a mechanistic process-based model capable of fully specifying and predicting the life cycle of the bobwhite quail: its growth, maturation and reproduction. We expanded the standard model with an explicit egg-laying module and formulated and tested two hypotheses for energy allocation of extra assimilates associated with reproduction: Hypothesis 1, that the energy and nutrients are used directly for egg production; and Hypothesis 2, that the energy is mostly spent fueling the increased metabolic costs incurred by building up and maintaining the reproductive system and, subsequently, by egg-laying itself. Our results suggest that Hypothesis 2 is the more likely energy pathway. Model predictions capture well the whole ontogeny of a generalized northern bobwhite quail and are able to reproduce most of the data variability via variability in (i) egg size, (ii) egg-laying rate and (iii) inter-individual physiological variability modeled via the zoom factor, i.e. assimilation potential. Reliable models with a capacity to predict physiological responses of individuals are relevant not only for experimental setups studying effects of various natural and anthropogenic pressures on the quail as a bird model organism, but also for wild quail management and conservation. The model is, with minor modifications, applicable to other species of interest, making it a most valuable tool in the emerging field of conservation physiology.
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Affiliation(s)
| | - Konstadia Lika
- Department of Biology, University of Crete, 70013 Heraklion, Greece
| | - Starrlight Augustine
- Akvaplan-niva, Fram High North Research Centre for Climate and the Environment, 9296 Tromsø, Norway
| | | | - Markus Ebeling
- Bayer AG Crop Science Division, 40789 Monheim am Rhein, Germany
| | - David Heckmann
- Bayer AG Crop Science Division, 40789 Monheim am Rhein, Germany
| | - Andre Gergs
- Bayer AG Crop Science Division, 40789 Monheim am Rhein, Germany
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