16 Bird Species Distribution Models for the Kenai Peninsula, Alaska

Jan 27, 2017 (Last modified Feb 16, 2022)
Uploaded by Dawn Magness
Description:
We utilized variable radius point count data collected in 2004 and 2006 at 255 points to generate presence / absent of bird species within a 200m radius of 255 points. The sampling points are part fo the Kenai Nationa Wildlife Refuge's Long-Term Ecological Montiroing Program (LTEMP). LTEMP points are arranged in a 4.8 km resolution, systematic grid spanning the 7722 km2 spatial extent of Alaska’s Kenai National Wildlife Refuge.We built distribution models for 40 bird species that are present within 200m of 2–56% of the sampling points resulting in models that represent species which are both rare and common on the landscape. All models were built using a common set of 152 environmental predictor variables representing topographical features, climatic space, vegetation, anthropogenic variables, and landscape structure. Random Forests produced strong models (ROC >0.8) for 16 bird species. We also assess models based on thier ability to predict "out-of-bag" data which is a protion of the training data that is withheld in model building.Alder Flycatcher Model InformationROC =0.813,Absent Correct = 66%Present Correct = 82%Map represents an index of probability of occurrence (0-1). Consider 0.75 to be very likely.

For a detailed description of the methodology, please refer to: Magness, D.R., F. Huettmann & J.M. Morton. 2008. Using Random Forests to provide predicted species distribution maps as a metric for ecological inventory & monitoring programs. Pages 209-229 in T.G. Smolinski, M.G. Milanova & A-E. Hassanien (eds.). Applications of Computational Intelligence in Biology: Current Trends and Open Problems. Studies in Computational Intelligence, Vol. 122, Springer-Verlag Berlin Heidelberg. 428pp. doi:10.1007/978-3-540-78534-7_9
Data Provided By:
United States Fish & Wildlife Service
Kenai National Wildlife Refuge
Content date:
not specified
Citation:
Magness,D.R. 2017. Bird Species Distribution Models for the Kenai Peninsula, Alaska. U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge, Soldotna, Alaska

Magness, D.R., F. Huettmann & J.M. Morton. 2008. Using Random Forests to provide predicted species distribution maps as a metric for ecological inventory & monitoring programs. Pages 209-229 in T.G. Smolinski, M.G. Milanova & A-E. Hassanien (eds.). Applications of Computational Intelligence in Biology: Current Trends and Open Problems. Studies in Computational Intelligence, Vol. 122, Springer-Verlag Berlin Heidelberg. 428pp. doi:10.1007/978-3-540-78534-7_9
Spatial Resolution:
500m
Contact Organization:
United States Fish & Wildlife Service, Kenai National Wildlife Refuge
Contact Person(s):
not specified
Use Constraints:

Best used for landscape-scale analysis. 500m pixel resolution based on information at cell-center. We do not recommended using a single pixel for managment decisions, instead many pixels should be used to infrom regional patterns. Our training data was collected inside the boundary of the Kenai National Wildlife Refuge, therefore lands ouside the refuge are ouside of the spatial domain of the model and may therefore be less certain.

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About the Uploader

Dawn Magness
Landscape Ecologist with USFWS Kenai National Wildlife Refuge

I am a landscape ecologist interested in climate change adaptation, ecological transformation and landscape planning. I am also a birder and interested in how birds will respond to climate change.