  We present clustering analyses of identically-selected star-forming galaxies
in 3 narrow redshift slices (at z=0.8, z=1.47 and z=2.23), from HiZELS, a deep,
near-infrared narrow-band survey. The HiZELS samples span the peak in the
cosmic star-formation rate density, identifying typical star-forming galaxies
at each epoch. Narrow-band samples have well-defined redshift distributions and
are therefore ideal for clustering analyses. We quantify the clustering of the
three samples, and of H-alpha luminosity-selected subsamples, initially using
simple power law fits to the two-point correlation function. We extend this
work to link the evolution of star-forming galaxies and their host dark matter
halos over cosmic time using sophisticated dark matter halo models. We find
that the clustering strength, r0, and the bias of galaxy populations relative
to the clustering of dark matter increase linearly with H-alpha luminosity
(and, by implication, star-formation rate) at all three redshifts, as do the
host dark matter halo masses of the HiZELS galaxies. The typical galaxies in
our samples are star-forming centrals, residing in halos of mass M_halo ~ a few
times 10^12M_solar. We find a remarkably tight redshift-independent relation
between the H-alpha luminosity scaled by the characteristic luminosity,
L(H-alpha)/L(H-alpha)*(z), and the minimum host dark matter halo mass of
central galaxies. This reveals that the dark matter halo environment is a
strong driver of galaxy star-formation rate and therefore of the evolution of
the star-formation rate density in the Universe.
