Habitat Features Predict Carrying Capacity of a Recovering Marine Carnivore

Author:

Tinker M. Tim1ORCID,Yee Julie L.1,Laidre Kristin L.2,Hatfield Brian B.1,Harris Michael D.3,Tomoleoni Joseph A.1,Bell Tom W.4,Saarman Emily5,Carswell Lilian P.6,Miles A. Keith7

Affiliation:

1. U.S. Geological Survey, Western Ecological Research Center Santa Cruz Field Station 2885 Mission Street Santa Cruz CA 95060 USA

2. Polar Science Center, Applied Physics Laboratory University of Washington 1013 NE 40th Street Seattle WA 98105 USA

3. California Department of Fish and Wildlife Office of Spill Prevention and Response—Veterinary Services 1385 Main Street Morro Bay CA 93442 USA

4. Earth Research Institute University of California, Santa Barbara, Santa Barbara California 93106 USA

5. Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), Long Marine Laboratory, 115 McAllister Way University of California Santa Cruz CA 95060 USA

6. U.S. Fish and Wildlife Service Ventura CA 93003 USA

7. U.S. Geological Survey Western Ecological Research Center 3020 State University Drive Sacramento CA 95819 USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics,Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference112 articles.

1. Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota

2. Photosynthetic rates derived from satellite-based chlorophyll concentration

3. Bell T. K.Cavanaugh andD.Siegel.2017. SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5 7 and 8 1984–2016.https://doi.org/10.6073/pasta/817d2c24ebd78621869e17d94ba0df0c. Accessed 28 Aug 2019.

4. Three decades of variability in California's giant kelp forests from the Landsat satellites

5. Spatial Interaction and the Statistical Analysis of Lattice Systems

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