  We present estimates of the $p$-concentration ratio for various function
spaces on different geometries including the line, the sphere, the plane, and
the hyperbolic disc, using large sieve methods. Thereby, we focus on
$L^{1}$-estimates which can be used to guarantee the reconstruction from
corrupted or partial information.
