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The Vertebrate Fauna of Jenolan Karst Conservation Reserve: Final

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Table 12: Scientific issues to consider In relation to monitoring programs<br />

Issue Description<br />

Have clear, simple goals and<br />

test well defined hypotheses<br />

Develop reliable and useful<br />

indicators<br />

Have a well thought out survey<br />

design that uses appropriate<br />

stratification<br />

Have enough sites and<br />

therefore enough statistical<br />

power to detect change<br />

Clearly define the type <strong>of</strong> data<br />

the monitoring program sets<br />

out to collect<br />

Employ appropriate survey<br />

methods for the desired data<br />

type<br />

Be undertaken at an appropriate<br />

temporal scale, and most<br />

importantly have on-going<br />

commitment for the long-term<br />

Set limits <strong>of</strong> acceptable change<br />

108<br />

Monitoring programs that have very broad aims, or vague hypotheses, or<br />

are too ambitious in terms <strong>of</strong> the number <strong>of</strong> questions they try to answer,<br />

<strong>of</strong>ten fail. It is important to keep things simple.<br />

Choosing the right indicators requires careful thought to ensure they will<br />

provide information that clearly relates to the issue that you want to monitor.<br />

For example, monitoring a hard to find fauna species to inform <strong>of</strong> the health<br />

<strong>of</strong> fauna overall will be more resource intensive than using a common<br />

species.<br />

Again, a simple design that is limited to a particular species, or a few or<br />

perhaps limiting the subject <strong>of</strong> the monitoring to one suite <strong>of</strong> species, will<br />

give the monitoring project a better chance <strong>of</strong> success.<br />

A simple calculation can be done a priori to determine the minimum sample<br />

size needed to have sufficient power. Too few survey sites will guarantee<br />

that a monitoring program will either fail to detect change, or give an<br />

unreliable or misleading result.<br />

For example, presence/absence <strong>of</strong> species at the site scale which can be<br />

regionally summarised as species x was present at 10 out <strong>of</strong> 18 sites in the<br />

region; OR breeding success <strong>of</strong> a species per year, OR number <strong>of</strong><br />

individuals <strong>of</strong> a species per unit effort.<br />

For example you might choose one method to generate presence/absence<br />

data, but another to obtain abundance estimates. This needs to be thought<br />

about and planned for at the concept stage <strong>of</strong> planning.<br />

Most monitoring projects need at least 5 years worth <strong>of</strong> data to detect<br />

change, whereas many will need much longer than that (IUCN red list<br />

criteria suggest that 10 years (or 3 x generation length) <strong>of</strong> data is the<br />

minimum amount needed to adequately assess trends over time see<br />

http://www.iucnredlist.org/technical-documents/categories-and-criteria for<br />

more detail). <strong>The</strong> number <strong>of</strong> years needed for monitoring will depend on the<br />

frequency <strong>of</strong> monitoring, the methods used and the biology, in particular the<br />

life history <strong>of</strong> the species or suite <strong>of</strong> species being monitored. Monitoring<br />

anything for less than 5 years is a waste <strong>of</strong> time and resources, as<br />

statistically, you will likely need many more than 5 data points to confidently<br />

interpret any observed trend.<br />

This is an important aspect <strong>of</strong> monitoring that many programs omit. It is<br />

easy at the conclusion <strong>of</strong> a monitoring program to say, “Species x declined<br />

by 60% over 30 years”, however it is <strong>of</strong>ten too late to use this information<br />

and the population has changed beyond recovery. Information that a decline<br />

is occurring at present is much more useful, so that something can be done<br />

to halt or reverse the decline. Hence, there must be a limit <strong>of</strong> acceptable<br />

change set for all monitoring programs. This will define a point <strong>of</strong> “worry”,<br />

and help to facilitate a feedback loop for adaptive management. <strong>The</strong>re will<br />

always be a small amount <strong>of</strong> change due to natural fluctuations, e.g.<br />

drought, however this amount <strong>of</strong> expected natural fluctuation needs to be<br />

estimated and a sensible limit <strong>of</strong> acceptable change determined. For<br />

example, you might set an acceptable limit <strong>of</strong> change for the abundance <strong>of</strong> a<br />

certain species to be +/- 8% annually (this translates into the species being<br />

at risk <strong>of</strong> extinction within 20 years), and for the first 3 years, the population<br />

has shown a 2% increase, then a 2% decline, then a 4% decline, then in the<br />

4 th year, the population drops by 9%. Because we have set 8% as the<br />

“worry” point, we know that we need to act to halt or reverse this decline.<br />

<strong>The</strong> relevant land managers should be made aware and act accordingly,<br />

maybe stepping up predator control, or investigating other threats.<br />

<strong>The</strong> <strong>Vertebrate</strong> <strong>Fauna</strong> <strong>of</strong> <strong>Jenolan</strong> <strong>Karst</strong> <strong>Conservation</strong> <strong>Reserve</strong>

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