|
|
|
|
 |
|
| |
Step 1 in Figure-1 is the
identification of sources of mortality on a particular beach. Sometimes
these are obvious, but there may often also be a need for experiments and
quantification. An example of an intelligent investigation in this category
is the work of von Mutius (2000). Studying olive ridleys at La Flor,
Nicaragua, she found that in double clutches (i.e. one nest laid on top of
and disturbing a previous nest) the mortality was 63.6 % compared to 41.3%
in single clutches. The idea that hatch rates of ridleys may be better when
nest density is less has been around for some time (Cornelius &
Robinson 1982). In India, it has been noted that at Rushikulya, a beach
with relatively sparse arribada nesting, hatch rates (74.3%) are much
higher than those at the more densely packed Gahirmatha (Pandav 2001). For step 1 (Figure-1
), data specific to particular circumstances are needed, but application to
Orissa of step 1 should not be too hard.
Step 2, the reduction of mortality should also be feasible. There
may be difficulties, for instance when losses result from unpredictable
storms. Nevertheless, doubtless there are ways to save at least some of the
eggs and hatchlings that are likely to suffer mortality on arribada
beaches. The possibility that eggs that do not hatch might end up in some
important part of the food chain should be kept in mind.
Step 3 might be more of a
challenge, requiring ingenuity and creativity to get eggs from remote
locations to markets. Pickling or other preservatives could be tried, or
locally making eggs into some kind of cake or item that would last longer.
Powdered egg might be considered. Doubtless people will laugh at such
suggestions. These are not advocated as the best or even necessarily
feasible methods, but offered simply to indicate that problems of transport
could probably be solved by entertaining a variety of ideas. |
|
|
|
|