E.M. Manoj
KALPETTA,
The Hindu, June 19, 2015
KALPETTA,
The Hindu, June 19, 2015
A new study, published in the
Proceedings of the Royal Society B
, by National Centre for Biological Sciences on high elevation songbirds
of Western Ghats, has found that deep valleys have greater impact on
speciation than shallow ones in this mountain chain.
The
study was conducted by Uma Ramakrishnan and her colleagues at NCBS to
investigate genetic variation of all 23 species of songbirds that
inhabit the Shola forests of the sky islands of Western Ghats.
The
study found that not all species are affected by the gaps. Out of the
23 species studied, 10 showed genetic divergences across the deepest,
widest valley, the Palghat gap, while three others diverged across the
Shenkotta gap. Only one species diverged across the shallowest valley,
the Chaliyar River valley. While the Western Ghats were formed some 50
million years ago, the arrival of songbirds in the Western Ghats is only
dated earliest to 34 million years ago.
Simulated
studies suggested the species diverged at different times. Our study
shows that it was not only the valleys and gaps in the mountain, but
also the climate that affect to play an important role in these bird
divergences. Going by their past response to climate changes, we can
predict that future climate changes may impact the speciation of these
birds, said V.V. Robin, the lead researcher of the study.
Our
results reveal a richly varied, yet generalised pattern of divergence.
The nested pattern of divergence across deeper versus shallower valleys
also provide us clear predictability regarding where to look for the two
most different individuals in a species-across the Palghat gapâ, says
Ms. Ramakrishnan.
Most studies like this use museum
specimens when analysing a large number of species. Knowing the topology
and spending close to 400 nights out in the field really helped us
sample the entire mountain community, C.K Vishnudas, a researcher said.
Pooja
Gupta, another researcher, said it was an amazing experience going from
the birds in the mountains to the large amount of genetic data we
generated in the lab.
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