Autor:
Kissa, D.O.
Sheil, D.
Good density estimates for low abundance tree species are costly to achieve especially in rugged or disturbed forest landscapes. More efficient methods would be of considerable value to managers and conservationists. Here we assess a method that has been neglected in this context. We examine and ...
Enlace original:
https://cgspace.cgiar.org/handle/10568/20926
Kissa, D.O.
,
Sheil, D.
,
[Visual detection based distance sampling offers efficient density estimation for distinctive low abundance tropical forest tree species in complex terrain]
,
Visual detection based distance sampling offers efficient density estimation for distinctive low abundance tropical forest tree species in complex terrain
