Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Connectivity models using empirically-derived
landscape resistance maps can predict potential
linkages among fragmented animal and plant populations.
However, such models have rarely been used to
guide systematic decision-making, such as identifying
the most important habitat patches and dispersal corridors
to protect or restore in order to maximize regional
connectivity. Combining...
Connectivity models using empirically-derived
landscape resistance maps can predict potential
linkages among fragmented animal and plant populations.
However, such models have rarely been used to
guide systematic decision-making, such as identifying
the most important habitat patches and dispersal corridors
to protect or restore in order to maximize regional
connectivity. Combining...
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Connectivity models using empirically-derived
landscape resistance maps can predict potential
linkages among fragmented animal and plant populations.
However, such models have rarely been used to
guide systematic decision-making, such as identifying
the most important habitat patches and dispersal corridors
to protect or restore in order to maximize regional
connectivity. Combining...