Proceedings of the XII International Symposium on Biological Control of Weeds La Grande Motte, France, 22–27 April 2007
Understanding and modelling the population dynamics of weeds and/or biological control agents can require large investments of time and money; just what are we getting for our modelling efforts? Here I respond to three persistent critiques of modelling as used in biological control programmes an...
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| Những tác giả chính: | , , , , , , |
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Được phát hành: |
CABI
2014
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/36772 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | Understanding and modelling the population dynamics of weeds and/or biological control agents can
require large investments of time and money; just what are we getting for our modelling efforts? Here
I respond to three persistent critiques of modelling as used in biological control programmes and
present new directions for extending and improving our use of models. Complex models have been
critiqued as resource-intensive, too narrow in scope and difficult to analyse, whereas simple, strategic
models are critiqued as oversimplified and inaccurate in predicting postinvasion population dynamics. I argue that models across this spectrum can be useful and that the dichotomy between simple
and complex models can be broken down. Biological control practitioners often operate in systems
with a high degree of stochasticity and uncertainty; therefore, the incorporation of stochasticity and
uncertainty into population models is essential for the development of robust management strategies.
Close dialogue between managers and modellers is essential for the application of modelling studies
to management. New directions for modelling in biological control include the incorporation of invader impact and complex ecosystem effects such as habitat heterogeneity and disturbance. The right
model used for the right question can bring us insights into the biological control process that would
be difficult or impossible to achieve otherwise. |
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