Index Catalog // ScholarsArchive@OSU

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: squares c Median of growing-season integrated NDVI values from 2001 through 2011 d Demographic weighted

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: Tyler G. Creech a, *, Clinton W. Epps a, Ryan J. Monello b, 1, John D. Wehausen c a Department of

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: squares c Median of growing-season integrated NDVI values from 2001 through 2011 d Demographic weighted

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: Tyler G. Creech a, *, Clinton W. Epps a, Ryan J. Monello b, 1, John D. Wehausen c a Department of

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: Tyler G. Creech • Clinton W. Epps • Ryan J. Monello • John D. Wehausen Received: 6 June 2013

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Full Text:: cost value of 1; cells of ≤15% slope were assigned cost value of 10. 30 d. We added barrier

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Resource Type:: Article

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Resource Type:: Article

Creator:: Creech, Tyler G., Epps, Clinton W., Monello, Ryan J., and Wehausen, John D.
Abstract:: 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...
Resource Type:: Article

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