4.7 Article

Allocating surveillance effort in the management of invasive species: A spatially-explicit model

Journal

ENVIRONMENTAL MODELLING & SOFTWARE
Volume 25, Issue 4, Pages 444-454

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2009.10.014

Keywords

Eradication; Search theory; Passive surveillance; Economics; Detection

Funding

  1. Australian Centre for Excellence in Risk Analysis (ACERA)
  2. ACERA [0806]
  3. Australian Research Council [DP0771672]
  4. Australian Research Council [DP0771672] Funding Source: Australian Research Council

Ask authors/readers for more resources

Invasive organisms often exist at low densities at the beginning and end of eradication programs. As a consequence, such organisms are often difficult to find, particularly if they are dispersed long distances to unknown locations. In such circumstances, large amounts of money can be spent searching for invasive organisms without finding any. However, chance encounters between invasive organisms and private citizens can occur even when invasive organisms exist at low densities. Reports of these 'passive detections' may be a critically important source of information for public pest management agencies. Rates of reporting may be improved using bounty payments and increasing public awareness about the presence of the invader. To explore the importance of passive surveillance in general, and its interaction with active surveillance by pest management agencies, we developed a simulation model of the spread of an invasive species. Simulations conducted under alternative scenarios for detection rates and search effort applied demonstrate that even small increases in detection or reporting rates substantially reduced eradication costs and increased the probability of eradication. In circumstances where resources are insufficient to achieve eradication, the simulation model provides useful information on the minimum expenditure required to contain the invasion. (C) 2009 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available