Cross-scale management strategies for optimal control of trees invading from source plantations

Biological Invasions

Volumn 16, Issue 3, 2014, Pages 677-690

  Caplat, P ^a   Hui, C ^b   Maxwell, B D ^c   Peltzer, D A ^d  

^a LUND UNIVERSITY   (Sweden)

^b STELLENBOSCH UNIVERSITY   (South Africa)

^c MONTANA STATE UNIVERSITY   (United States)

^d LANDCARE RESEARCH   (New Zealand)

Author keywords

Biological invasions; Cohort model; Spatial spread; Tree invasions; Weed management scenarios

Indexed keywords

EID: 84895178307     PISSN: 13873547     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10530-013-0608-7     Document Type: Article

References (44)

1. Berthouly-Salazar C, van Rensburg BJ, Le Roux JJ, van Vuuren BJ, Hui C (2012) Spatial sorting drives morphological variation in the invasive bird, Acridotheris tristis. PLoS One 7: e38145.
2. Breiman L (2001) Random forests. Mach Learn 45: 5-32.
3. Buckley YM, Brockerhoff E, Langer L, Ledgard N, North H, Rees M (2005) Slowing down a pine invasion despite uncertainty in demography and dispersal. J Appl Ecol 42: 1020-1030.
4. Caplat P, Coutts S, Buckley YM (2012a) Modeling population dynamics, landscape structure, and management decisions for controlling the spread of invasive plants. Ann NY Acad Sci 1249: 72-83.
5. Caplat P, Nathan R, Buckley YM (2012b) Seed terminal velocity, wind turbulence, and demography drive the spread of an invasive tree in an analytical model. Ecology 93: 368-377.
6. Caruana R, Karampatziakis N, Yessenalina A (2008) An empirical evaluation of supervised learning in high dimensions. Proceedings of the 25th international conference on Machine learning. ACM, Helsinki, pp 96-103.
7. Caswell H (2001) Matrix population models: construction, analysis, and interpretation. Sinauer Associates Inc, Sunderland, Massachusetts, p 722.
8. Coutts SR, van Klinken RD, Yokomizo H, Buckley YM (2011) What are the key drivers of spread in invasive plants: dispersal, demography or landscape: and how can we use this knowledge to aid management? Biol Invasions 13: 1649-1661.
9. Coutts SR, Yokomizo H, Buckley YM (2012) The behavior of multiple independent managers and ecological traits interact to determine prevalence of weeds. Ecol Appl 23: 523-536.
10. Development Core Team R (2008) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna.
11. Epanchin-Niell RS, Hastings A (2010) Controlling established invaders: integrating economics and spread dynamics to determine optimal management. Ecol Lett 13: 528-541.
12. Epanchin-Niell RS, Wilen JE (2012) Optimal spatial control of biological invasions. J Environ Econ Manag 63: 260-270.
13. Epanchin-Niell RS, Hufford MB, Aslan CE, Sexton JP, Port JD, Waring TM (2010) Controlling invasive species in complex social landscapes. Front Ecol Environ 8: 210-216.
14. Giljohann KM, Hauser CE, Williams NSG, Moore JL (2011) Optimizing invasive species control across space: willow invasion management in the Australian Alps. J Appl Ecol 48: 1286-1294.
15. Graf RF, Kramer-Schadt S, Fernandez N, Grimm V (2007) What you see is where you go? Modeling dispersal in mountainous landscapes. Landsc Ecol 22: 853-866.
16. Hastings A, Hall RJ, Taylor CM (2006) A simple approach to optimal control of invasive species. J Theor Biol 70: 431-435.
17. Haugo RD, Halpern CB, Bakker JD (2011) Landscape context and long-term tree influences shape the dynamics of forest-meadow ecotones in mountain ecosystems. Ecosphere 2: art91-art91.
18. Hibbard KA, Archer S, Schimel DS, Valentine DW (2001) Biogeochemical changes accompanying woody plant encroachment in a subtropical savanna. Ecology 82: 1999-2011.
19. Higgins SI, Richardson DM, Cowling RM (2000) Using a dynamic landscape model for planning the management of alien plant invasions. Ecol Appl 10: 1833-1848.
20. Holmes EE, Lewis MA, Banks JE, Veit RR (1994) Partial differential equations in ecology: spatial interactions and population dynamics. Ecology 75: 17-29.
21. Hothorn T, Hornik K, Zeileis A (2006) Unbiased recursive partitioning: a conditional inference framework. J Comput Graph Stat 15: 651-674.
22. Hui C, Foxcroft LC, Richardson DM, MacFadyen S (2011a) Defining optimal sampling effort for large-scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distribution. J Appl Ecol 48: 768-776.
23. Hui C, Krug RM, Richardson DM (2011b) Spread models in invasion ecology. In: Richardson DM (ed) Fifty years of invasion ecology the legacy of Charles Elton. Wiley-Blackwell, Oxford, pp 329-343.
24. Hui C, Roura-Pascual N, Brotons L, Robinson RA, Evans KL (2012) Flexible dispersal strategies in native and non-native ranges: environmental quality and the 'good-stay, bad-disperse' rule. Ecography 35: 1024-1032.
25. Hulme PE (2012) Weed risk assessment: a way forward or a waste of time? J Appl Ecol 49: 10-19.
26. Jackson H, Fahrig L (2012) What size is a biologically relevant landscape? Landsc Ecol 27: 929-941.
27. Ledgard N (2001) The spread of lodgepole pine (Pinus contorta, Dougl.) in New Zealand. For Ecol Manage 141: 43-57.
28. Maxwell BD, Ghersa C (1992) The influence of weed seed dispersion versus the effect of competition on crop yield. Weed Technol 6: 196-204.
29. Maxwell BD, Lehnhoff E, Rew LJ (2009) The rationale for monitoring invasive plant populations as a crucial step for management. Invasive Plant Sci Manag 2: 1-9.
30. McGill BJ (2010) Towards a unification of unified theories of biodiversity. Ecol Lett 13: 627-642.
31. Minor ES, Gardner RH (2011) Landscape connectivity and seed dispersal characteristics inform the best management strategy for exotic plants. Ecol Appl 21: 739-749.
32. Moody ME, Mack RN (1988) Controlling the spread of plant invasions: the importance of nascent foci. J Appl Ecol 25: 1009-1021.
33. Moore JL, Runge MC, Webber BL, Wilson JRU (2011) Contain or eradicate? Optimizing the management goal for Australian acacia invasions in the face of uncertainty. Divers Distrib 17: 1047-1059.
34. Morelli TL, Smith AB, Kastely CR, Mastroserio I, Moritz C, Beissinger SR (2012) Anthropogenic refugia ameliorate the severe climate-related decline of a montane mammal along its trailing edge. Proc R Soc B.
35. Neubert MG, Caswell H (2000) Demography and dispersal: calculation and sensitivity analysis of invasion speed for structured populations. Ecology 81: 1613-1628.
36. Phillips BL, Brown GP, Webb JK, Shine R (2006) Invasion and the evolution of speed in toads. Nature 439: 803.
37. Rew LJ, Lehnhoff EA, Maxwell BD (2007) Non-indigenous species management using a population prioritization framework. Can J Plant Sci 87: 1029-1036.
38. Richardson DM, Pysek P, Rejmanek M, Barbour MG, Panetta FD, West CJ (2000) Naturalization and invasion of alien plants: concepts and definitions. Divers Distrib 6: 93-107.
39. Roura-Pascual N, Krug RM, Richardson DM, Hui C (2010) Spatially-explicit sensitivity analysis for conservation management: exploring the influence of decisions in invasive alien plant management. Divers Distrib 16: 426-438.
40. Shine R, Brown GP, Phillips BL (2011) An evolutionary process that assembles phenotypes through space rather than through time. Proc Natl Acad Sci 108: 5708-5711.
41. Strobl C, Boulesteix A-L, Zeileis A, Hothorn T (2007) Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinf 8: 25.
42. van Wilgen BW, Forsyth GG, Le Maitre DC, Wannenburgh A, Kotzé JDF, van den Berg E, Henderson L (2012) An assessment of the effectiveness of a large, national-scale invasive alien plant control strategy in South Africa. Biol Conserv 148: 28-38.
43. Von Holle B, Simberloff D (2005) Ecological resistance to biological invasion overwhelmed by propagule pressure. Ecology 86: 3212-3218.
44. Wilensky U (1999) NetLogo. Center for Connected Learning and Computer-Based Modeling, Evanston, IL.