Biology Reference
In-Depth Information
be focused on the stream corridor, especially where it passes through the recent
burn, agricultural field, and crosses the road (Fig. 2.5). This would reduce the moni-
toring area to less than 10% of the total management unit.
If georeferenced abundance data are available for the high priority riparian spe-
cies in this example, then an optimized monitoring plan can be developed (Fig. 2.2).
Assuming that habitat modeling indicates that these riparian species are typically
associated with agricultural areas, then the monitoring effort can be focused even
further on the stream corridor where it passes along the edge of the agricultural
area, especially where it crosses the road. Accordingly, the monitoring areas would
be reduced to < 1% of the total management unit (Fig. 2.5).
In most situations there will not be just one set of characteristics associated with
potential invaders (e.g. riparian plants with affinities for agricultural areas).
However, the process outlined above can be applied for each group of high priority
species with similar characteristics to produce multiple components of an opti-
mized monitoring plan. For example, assume that in addition to riparian plants of
agricultural areas, the above example included high priority species that are often
used as ornamentals in landscaping and others that are typical of roadsides in post-
fire landscapes. In that more complicated example, the optimized monitoring plan
would additionally include monitoring in the town (especially its interface with
wildlands) and along the roadside within the burned area. This would increase the
sampling area to about 5% of the management unit, but still well below the 10-50%
associated with the other monitoring approaches.
The strength of the early detection monitoring framework presented in this chap-
ter is in improving not only the efficiency of monitoring efforts, but also the effi-
ciency of developing the monitoring plans themselves. In particular, by first
developing a prioritized list of potential invaders, subsequent resources to develop
predictive models can be most effectively allocated to those species that pose the
greatest threat of invading and negatively affecting resource values. The framework
also allows for realistic consideration of the extra effort needed to develop priori-
tized or optimized plans, so that more informed decisions can be made regarding
the allocation of resources to develop early detection monitoring plans, implement
them, and respond to new invaders with control treatments.
References
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eucalypts: implication for management of forest biodiversity. For Ecol Manage 85:95-106
AZ-WIPWG (2005) Invasive non-native plants that threaten wildlands in Arizona. Arizona
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