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

Caplat, Paul LU ; Hui, C.; Maxwell, Bruce D. and Peltzer, D. M. (2014) In Biological Invasions 16(3). p.677-690
Abstract
Biological invasion by non-native tree species can transform landscapes, and as a consequence, has received growing attention from researchers and managers alike. This problem is driven primarily by the naturalisation and invasion of tree species escaping from cultivation or forestry plantations. Furthermore, these invasions can be strongly influenced by the land-use matrix of the surrounding region, specific management of the source populations, and environmental conditions that influence seed dispersal or habitat quality for the invader. A major unresolved challenge for managing tree invasions in landscapes is how management should be deployed to contain or slow the spread of invading populations from one or more sources (e.g.... (More)
Biological invasion by non-native tree species can transform landscapes, and as a consequence, has received growing attention from researchers and managers alike. This problem is driven primarily by the naturalisation and invasion of tree species escaping from cultivation or forestry plantations. Furthermore, these invasions can be strongly influenced by the land-use matrix of the surrounding region, specific management of the source populations, and environmental conditions that influence seed dispersal or habitat quality for the invader. A major unresolved challenge for managing tree invasions in landscapes is how management should be deployed to contain or slow the spread of invading populations from one or more sources (e.g. plantations). We develop a spatial simulation model to test: (1) how to best prioritise the control of invasive tree populations spatially to slow or contain the biological invader when habitat quality varies in the landscape, and (2) how to allocate control effort among different management units when trees spread from many source populations. We first show that to slow down spread effectively, management strategy is less important than management effort. We then identify the conditions affecting the relative performance of different management strategies. At the landscape scale, targeting peripheral stands consistently yielded the best results whereas at the regional scale, management strategies needed to account for both habitat quality and tree life-history. Overall, our findings demonstrate that knowledge of how habitat affects tree life-history stages can improve management to contain or slow tree invasions by improving the spatial match between management effort and efficacy. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biological invasions, cohort model, spatial spread, tree invasions, weed management scenarios
in
Biological Invasions
volume
16
issue
3
pages
677 - 690
publisher
Springer
external identifiers
  • scopus:84895178307
ISSN
1387-3547
DOI
10.1007/s10530-013-0608-7
language
English
LU publication?
yes
id
7ead63f7-c021-4139-8e4a-1153f3f74a8b (old id 4695005)
date added to LUP
2016-03-17 13:33:48
date last changed
2017-11-05 03:13:21
@article{7ead63f7-c021-4139-8e4a-1153f3f74a8b,
  abstract     = {Biological invasion by non-native tree species can transform landscapes, and as a consequence, has received growing attention from researchers and managers alike. This problem is driven primarily by the naturalisation and invasion of tree species escaping from cultivation or forestry plantations. Furthermore, these invasions can be strongly influenced by the land-use matrix of the surrounding region, specific management of the source populations, and environmental conditions that influence seed dispersal or habitat quality for the invader. A major unresolved challenge for managing tree invasions in landscapes is how management should be deployed to contain or slow the spread of invading populations from one or more sources (e.g. plantations). We develop a spatial simulation model to test: (1) how to best prioritise the control of invasive tree populations spatially to slow or contain the biological invader when habitat quality varies in the landscape, and (2) how to allocate control effort among different management units when trees spread from many source populations. We first show that to slow down spread effectively, management strategy is less important than management effort. We then identify the conditions affecting the relative performance of different management strategies. At the landscape scale, targeting peripheral stands consistently yielded the best results whereas at the regional scale, management strategies needed to account for both habitat quality and tree life-history. Overall, our findings demonstrate that knowledge of how habitat affects tree life-history stages can improve management to contain or slow tree invasions by improving the spatial match between management effort and efficacy.},
  author       = {Caplat, Paul and Hui, C. and Maxwell, Bruce D. and Peltzer, D. M.},
  issn         = {1387-3547},
  keyword      = {biological invasions,cohort model,spatial spread,tree invasions,weed management scenarios},
  language     = {eng},
  number       = {3},
  pages        = {677--690},
  publisher    = {Springer},
  series       = {Biological Invasions},
  title        = {Cross-scale management strategies for optimal control of tree invading from source plantations},
  url          = {http://dx.doi.org/10.1007/s10530-013-0608-7},
  volume       = {16},
  year         = {2014},
}