Recent advances of quantitative modeling to support invasive species eradication on islands

被引:32
作者
Baker, Christopher M. [1 ,2 ,3 ]
Bode, Michael [4 ]
机构
[1] Univ Melbourne, Sch Math & Stat, Melbourne, Vic 3010, Australia
[2] Univ Melbourne, Melbourne Ctr Data Sci, Melbourne, Vic, Australia
[3] Univ Melbourne, Ctr Excellence Biosecur Risk Anal, Melbourne, Vic, Australia
[4] Queensland Univ Technol, Sch Math Sci, Brisbane, Qld, Australia
基金
澳大利亚研究理事会;
关键词
MESOPREDATOR RELEASE; BIOSECURITY SURVEILLANCE; QUALITATIVE-ANALYSIS; POPULATION-DYNAMICS; RODENT ERADICATIONS; OPTIMAL ALLOCATION; INHABITED ISLANDS; DECISION-MAKING; RAT ERADICATION; FELIS-CATUS;
D O I
10.1111/csp2.246
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The eradication of invasive species from islands is an important part of managing these ecologically unique and at-risk regions. Island eradications are complex projects and mathematical models play an important role in supporting efficient and transparent decision-making. In this review, we cover the past applications of modeling to island eradications, which range from large-scale prioritizations across groups of islands, to project-level decision-making tools. While quantitative models have been formulated and parameterized for a range of important problems, there are also critical research gaps. Many applications of quantitative modeling lack uncertainty analyses, and are therefore overconfident. Forecasting the ecosystem-wide impacts of species eradications is still extremely challenging, despite recent progress in the field. Overall, the field of quantitative modeling is well-developed for island eradication planning. Multiple practical modeling tools are available for, and are being applied to, a diverse suite of important decisions, and quantitative modeling is well placed to address pressing issues in the field.
引用
收藏
页数:19
相关论文
共 171 条
[1]   Informing management decisions for ecological networks, using dynamic models calibrated to noisy time-series data [J].
Adams, Matthew P. ;
Sisson, Scott A. ;
Helmstedt, Kate J. ;
Baker, Christopher M. ;
Holden, Matthew H. ;
Plein, Michaela ;
Holloway, Jacinta ;
Mengersen, Kerrie L. ;
McDonald-Madden, Eve .
ECOLOGY LETTERS, 2020, 23 (04) :607-619
[2]   The pest-management attitude (PMA) scale: a unidimensional and versatile assessment tool [J].
Aley, Joanne P. ;
Milfont, Taciano L. ;
Russell, James C. .
WILDLIFE RESEARCH, 2020, 47 (02) :166-176
[3]   Species distributions, land values, and efficient conservation [J].
Ando, A ;
Camm, J ;
Polasky, S ;
Solow, A .
SCIENCE, 1998, 279 (5359) :2126-2128
[4]  
[Anonymous], 2005, Ecosystems and Human Well being synthesis
[5]  
[Anonymous], 2004, HOTSPOTS REVISITED E
[6]   Simultaneous invasive alien predator eradication delivers the best outcomes for protected island species [J].
Baker, Christopher M. ;
Plein, Michaela ;
Shaikh, Rabith ;
Bode, Michael .
BIOLOGICAL INVASIONS, 2020, 22 (03) :1085-1095
[7]   Modelling the spread and control of cherry guava on Lord Howe Island [J].
Baker, Christopher M. ;
Bower, Sue ;
Tartaglia, Elena ;
Bode, Michael ;
Bower, Hank ;
Pressey, Robert L. .
BIOLOGICAL CONSERVATION, 2018, 227 :252-258
[8]   A novel approach to assessing the ecosystem-wide impacts of reintroductions [J].
Baker, Christopher M. ;
Bode, Michael ;
Dexter, Nick ;
Lindenmayer, David B. ;
Foster, Claire ;
MacGregor, Christopher ;
Plein, Michaela ;
McDonald-Madden, Eve .
ECOLOGICAL APPLICATIONS, 2019, 29 (01)
[9]   Informing network management using fuzzy cognitive maps [J].
Baker, Christopher M. ;
Holden, Matthew H. ;
Plein, Michaela ;
McCarthy, Michael A. ;
Possingham, Hugh P. .
BIOLOGICAL CONSERVATION, 2018, 224 :122-128
[10]   Modelling tropical fire ant (Solenopsis geminata) dynamics and detection to inform an eradication project [J].
Baker, Christopher M. ;
Hodgson, Jarrod C. ;
Tartaglia, Elena ;
Clarke, Rohan H. .
BIOLOGICAL INVASIONS, 2017, 19 (10) :2959-2970