Jherime Kellermann

Mt. Scott looking west Crater Lake
Jherime Kellermann

Jherime Kellermann, Assistant Professor & Science Coordinator Crater Lake National Park Science & Learning Center

OfficeDOW203

What I do

I have an exciting and unique joint position. As part of a cooperative agreement, I am an assistant professor at Oregon Tech in the Natural Sciences Department and I am the Science Coordinator of the Crater Lake National Park Science & Learning Center. I work with students, researchers, and the public to advance science and education and build greater understanding and appreciation for the ecology and natural resources of the most unique places on earth!

Courses I teach

Wildlife Ecology & Research
Ornithology
Conservation Biology
Developmental Biology
Principles of Biology
Crater Lake Ecology

Education

PhD (2013) Wildlife Conservation & Management, University of Arizona, Tucson, AZ

MS (2007) Wildlife, Humboldt State University, Arcata, CA

BA (1998) Multiple Major - Anthropology & Psychology, Penn State, University Park, PA

News & Events

copyright Gene Kalligher

August 2015 - New Publication

My colleagues at the USA National Phenology Network and I are pleased to announce the publication of a new paper on the application of the National Phenology Database (NPDb) in the International Journal of Biometerology. This amazing database resource includes millions of ground-based phenological observations on hundreds of species across the US. One of the biggest challenges when using and analyzing huge multi-observer datasets is which data to include in your analysis. Our paper assesses a number of different criteria for extracting data from the NPDb and looks at how these criteria affect the results in an analysis of spring onset. For more details see the abstract below or go to the Journal.

Abstract
Phenology is an important indicator of ecological response to climate change. Yet, phenological responses are highly variable among species and biogeographic regions. Recent monitoring initiatives have generated large phenological datasets comprised of observations from both professionals and volunteers. Because the observation frequency is often variable, there is uncertainty associated with estimating the timing of phenological activity. Status monitoring is an approach that focuses on recording observations throughout the full development of life cycle stages rather than only first dates in order to quantify uncertainty in generating phenological metrics, such as onset dates or duration. However, methods for using status data and calculating phenological metrics are not standardized. To understand how data selection criteria affect onset estimates of springtime leaf-out, we used status-based monitoring data curated by the USA National Phenology Network for 11 deciduous tree species in the eastern USA between 2009 and 2013. We asked, (1) How are estimates of the date of leaf-out onset, at the site and regional levels, influenced by different data selection criteria and methods for calculating onset, and (2) at the regional level, how does the timing of leaf-out relate to springtime minimum temperatures across latitudes and species? Results indicate that, to answer research questions at site to landscape levels, data users may need to apply more restrictive data selection criteria to increase confidence in calculating phenological metrics. However, when answering questions at the regional level, such as when investigating spatiotemporal patterns across a latitudinal gradient, there is low risk of acquiring erroneous results by maximizing sample size when using status-derived phenological data.

2014 BioBlitz Logo

Click on the ​News & Events ​link in the navigation pane to learn more about the 2014 Lepidoptera BioBlitz, including photographs, species lists, and the participants who volunteered in this important citizen science event!

Stay tuned - in 2016 we will be having a Coleoptera BioBlitz! aka beetles!

Publications

IN REVIEW

Cortés Montaño, C., J.L.Kellermann, P.Z. Fulé, & D.A. Falk. In Review. Thick-billed Parrot (Rhynchopsitta pachyrhyncha: Psittacidae) old-growth forest habitat associated with frequent fires in northwestern México

PUBLISHED

Gerst, K.L., J.L. Kellermann, C.A.F. Enquist, A.H. Rosemartin, E.G. Denny. 2015. Estimating the onset of spring from a a complex phenology database: Tradeoffs across geographic scales. International Journal of Biometeorology DOI 10.1007/s00484-015-1036-4

Kellermann, J.L.
and C. van Riper III. 2015. Detecting mismatches of bird migration stopover and tree phenology in response to changing climate. Oecologia. DOI 10.1007/s00442-015-3293-7

Wood E. M. & J.L. Kellermann. Eds. 2015. Phenological synchrony of North American bird migration with seasonal resources in a changing climate. Studies in Avian Biology CRC Press, London.

Kellermann, J.L.
, C.A.F. Enquist, A. Rosemartin, D.L. Humple, N.E. Seavy, R. L. Cormier, and L. Barnett. 2015. A bird's eye view of the USA National Phenology Network: An off-the-shelf monitoring program. Studies in Avian Biology CRC Press, London p 47-60.

Kellermann, J.L. and C. van Riper III. 2015.Phenological synchrony of bird migration with tree flowering at desert riparian stopover sites. Studies in Avian Biology CRC Press, London p 133-144.

Enquist, C.A.F., J.L. Kellermann, K.L. Gerst, & A. Miller-Rushing. 2014. Phenology for resource management: connecting science to practice. International Journal of Biometeorology DOI: 10.1007/s00484-013-0772-6

Rosemartin, A.H., T.M. Crimmins, C.A.F. Enquist, K.L. Gerst, J.L. Kellermann, E.E. Posthumus, J. Weltzin, E.G. Denny, P. Guertin & L. Marsh. 2013. Organizing Phenological Data Resources to Inform Natural Resource Conservation. Biological Conservation DOI: 10.1016/j.biocon.2013.07.003

Johnson, M. D., J. L., Kellermann & A. M. Stercho. 2010. Pest reduction services by birds in shade and sun coffee in Jamaica. Animal Conservation 13: 140-147.

Johnson, M. D., N. J. Levy, J. L. Kellermann, & D. E. Robinson. 2009. Effects of shade and bird exclusion on arthropods and leaf damage on coffee farms in Jamaica’s Blue Mountains. Agroforestry Systems 76: 139-148.

Kellermann, J. L., M.D. Johnson, A.M. Stercho, & S. Hackett. 2008. Ecological and economic services of birds on Jamaican Blue mountain coffee farms. Conservation Biology 22: 177-1185.

Kellermann, J.L. & M.D. Johnson. 2006. Coffee-Friendly Birds: Can birds reduce pests in coffee? Biocontrol News & Information 27: 53N.

Tweed, E.J., J.T. Foster, B.L. Woodworth, W.B. Monahan, J. L. Kellermann, & A. Lieberman. 2006. Breeding biology and success of a reintroduced population of the Critically endangered Puaiohi. The Auk 123: 753-763.

Tweed, E.J., J.T. Foster, B.L. Woodworth, P. Oesterle, C. Kuehler, A. Lieberman, T.A. Powers, K. Whitaker, W.B. Monahan, J.L. Kellermann, & T. Telfer. 2003. Survival, dispersal, and home-range establishment of reintroduced captive-bred Puaiohi, Myadestes palmeri. Biological Conservation 111: 1-9.

REPORTS (peer-reviewed)

Kellermann, J.L., T.M. Crimmins, E.G. Denny, C.A.F. Enquist, K.L. Gerst, A.H. Rosemartin, and J.F. Weltzin. 2013. Nature's Notebook: 2012 State of the Data. USA‐NPN Technical Series 2013‐001 USGS IP-046270.

Kellermann, J.L., T.M. Crimmins, E.G. Denny, C.A.F. Enquist, R.L. Marsh, A.H. Rosemartin, J.F. Weltzin. 2012. Nature's Notebook: 2011 Data & Participant Summary. USA‐NPN Technical Series 2012‐001. USGS IP-038693.