Buffel grass and climate change: a framework for projecting invasive species distributions when data are scarce

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• 作者：Tara G. Martin ; Helen Murphy ; Adam Liedloff ; Colette Thomas…
• 关键词：BN ; Bayesian belief network ; Expert judgement ; Expert elicitation ; Invasive species ; Exotic pasture ; Cenchrus ciliaris ; Species distribution models
• 刊名：Biological Invasions
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：17
• 期：11
• 页码：3197-3210
• 全文大小：1,540 KB
• 参考文献：Anon (2010) Uluru-Kata Tjuta National Park management plan 2010-010. Director of National Parks, Canberra
  Anon (2012) Interum biogeographic regionalisation for Australia (IBRA) version 7. Department of Sustainability, Environment, Water, Population and Communities, Canberra
  Arriaga L, Castellanos AE, Moreno VE et al (2004) Potential ecological distribution of alien invasive species and risk assessment: a case study of buffel grass in arid regions of Mexico. Conserv Biol 18:1504-514CrossRef
  Australia’s Virtual Herbarium (2005) Herbaria records of Cenchrus cililaris in Australia. Available at http://?www.?anbg.?gov.?au/?cgi-bin/?avh.?cgi . Accessed 13/04/2010
  Bastin G, AcRIS Management Committee (2008) Rangelands 2008—taking the pulse, published on behalf of the AcRIS Management Committee by the National Land and Water Resources Audit Canberra
  Busby JR (1986) Bioclimate prediction system (BIOCLIM) user’s manual, version 2.0. Bureau of Flora and Fauna, Canberra
  Butler DW, Fairfax RJ (2003) Buffel grass and fire in a gidgee and brigalow woodland: a case study from central queensland. Ecol Manag Restor 4:120-25CrossRef
  Butler S, McAlpine C, Fensham R et al (2014) Climate and exotic pasture area in landscape determines invasion of forest fragments by two invasive grasses. J Appl Ecol 51:114-23CrossRef
  Cain J (2001) Planning improvement in natural resource management. Centre for Ecology & Hydrology, Wallingford
  Clarke PJ, Latz PK, Albrecht DE (2005) Long-term changes in semi-arid vegetation: invasion of an exotic perennial grass has larger effects than rainfall variability. J Veg Sci 16:237-48CrossRef
  Cox JR, Martin-R MH, Ibarra-F FA et al (1988) The influence of climate and soils on the distribution of four African grasses. J Range Manag 41:127-39CrossRef
  Elith JH, Graham CP, Anderson R et al (2006) Novel methods improve prediction of species-distributions from occurrence data. Ecography 29:129-51CrossRef
  Eyre TJ, Wang J, Venz MF et al (2009) Buffel grass in Queensland’s semi-arid woodlands: response to local and landscape scale variables, and relationship with grass, forb and reptile species. Rangel J 31:293-05CrossRef
  Fairfax RJ, Fensham RJ (2000) The effect of exotic pasture development on floristic diversity in central Queensland, Australia. Biol Conserv 94:11-1CrossRef
  Fensham RJ, Donald S, Dwyer JM (2013) Propagule pressure, not fire or cattle grazing, promotes invasion of buffel grass Cenchrus ciliaris. J Appl Ecol 50:138-46CrossRef
  Firn J, Martin TG, Walters B et al (2013) Priority threat management of invasive plants species in the Lake Eyre Basin. CSIRO and Queensland University of Technology, Australia
  Franks A (2002) The ecological consequences of Buffel Grass (Cenchrus ciliaris) establishment within remnant vegetation of Queensland. Pac Conserv Biol 8:99
  Friedel MH, Grice AC, Marshall NA et al (2011) Reducing contention amongst organisations dealing with commercially valuable but invasive plants: the case of buffel grass. Environ Sci Policy 14:1205-218CrossRef
  Grechi I, Chadès I, Buckley YM et al (2014) A decision framework for management of conflicting production and biodiversity goals for a commercially valuable invasive species. Agric Syst 125:1-1CrossRef
  Harwood TD, Williams KJ (2009) CSIRO OzConverter: Edit 0.25° OzClim*.asc output files. http://?csiro.?au/?products/?OzConverter-Software.?html
  Hellmann JJ, Byers JE, Bierwagen BG et al (2008) Five potential consequences of climate change for invasive species. Conserv Biol 22:534-43CrossRef PubMed
  Houlder D, Hutchinson MF, Nix HA et al (2000) ANUCLIM Version 5.1. Centre for Resource and Environmental Studies, Australian National University, Canberra. http://?cres.?anu.?edu.?au/?outputs/?anuclim.?html
  Humphreys LR (1967) Buffel grass (Cenchrus ciliaris) in Australia. Trop Grassl 1:123-34
  IPCC (2000) Emissions scenarios. special report of the intergovernmental panel on climate change. Cambridge University Press, UK
  Jackson J (2005) Is there a relationship between herbaceous species richness and buffel grass (Cenchrus ciliaris)? Austral Ecol 30:505-17CrossRef
  Keith DA, Akcakaya HR, Thuiller W et al (2008) Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biol Lett 4:560-63PubMed Central CrossRef PubMed
  Kuhnert PM, Martin TG, Griffiths SP (2010) A guide to eliciting and using expert knowledge in Bayesian ecological models. Ecol Lett 13:900-14CrossRef PubMed
  Lawson BE, Bryant MJ, Franks AJ (2004) Assessing the potential distribution of buffel grass (Cenchrus ciliaris L.) in Australia using a climate-soil model. Plant Prot Q 19:155-63
  MacDougall AS, Turkington R (2005) Are invasive species the drivers or passengers of change in degraded ecosystems? Ecology 86:42-5CrossRef
  Mantyka-Pringle CS, Martin TG, Moffatt DB et al (2014) Understanding and predictin
• 作者单位：Tara G. Martin (1)
  Helen Murphy (2)
  Adam Liedloff (3)
  Colette Thomas (4)
  Iadine Chadès (1)
  Garry Cook (3)
  Rod Fensham (5) (6)
  John McIvor (1)
  Rieks D. van Klinken (1)
  
  1. CSIRO, Ecosciences Precinct, 41 Boggo Rd, Dutton Park, QLD, 4102, Australia
  2. CSIRO, Maunds Road, Atherton, QLD, 4883, Australia
  3. CSIRO, 564 Vanderlin Drive, Darwin, NT, 0821, Australia
  4. Catchment to Reef Research Group, TropWATER, Australian Tropical Science and Innovation Precinct, Building 145, James Cook University, Douglas, QLD, 4811, Australia
  5. Department of Environment and Heritage Protection, Queensland Herbarium, The Queensland Government, Mt Coot-tha, QLD, Australia
  6. School of Biological Sciences, The University of Queensland, Brisbane, QLD, Australia
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Plant Sciences
  Ecology
  Hydrobiology
  Zoology
  Forestry
  
• 出版者：Springer Netherlands
• ISSN：1573-1464

文摘

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. Keywords BN Bayesian belief network Expert judgement Expert elicitation Invasive species Exotic pasture Cenchrus ciliaris Species distribution models