![]() ![]() |
||||||
|
Integrated biodiversity conservation
solutions
|
||||||
GIS |
CLUZ overview |
|
|
Most protected
area (PA) systems have been influenced by political, economic and aesthetic
factors and under-represent many elements of biodiversity. Moreover, most
PAs are too small to adequately conserve populations of wide-ranging species
and important ecological processes. At the same time, many people partly
rely on natural resources for their survival and so the unplanned creation
or expansion of PAs can cause problems.
Therefore, there is a general need to develop conservation landscapes that allow the maintenance of biodiversity whilst minimising impacts on the livelihoods of local people (Driver et al, 2003). The best way of achieving this is to use systematic conservation planning techniques, as these allow stakeholders to develop land-use plans in a transparent manner by going through the following steps:
CLUZ and MARXAN are two pieces of software that have been developed to allow this type of planning to be carried out by conservation practitioners and researchers. They work by dividing the planning region into a series of planning units, listing the distribution of the conservation features found in the study planning, setting targets for the amount of each feature to be included in the conservation landscape and using computer software to identify the portfolio of units that best meet these targets. The three main ways that CLUZ can be used to develop these conservation land-use plans are:
MARXAN identifies near-optimal combinations of planning units that meet specified conservation targets. It does this by running the same analysis a set number of times and identifying the most efficient solution. Incorporating boundary costs into the process ensures that patches of contiguous units are selected, which increases the real-world applicability of the final outputs.
Click here to find out more about what CLUZ can do |
|
Last
updated
26/02/07
|