Paleoecology and Biogeography Laboratory

Department of Geography
University of Oregon

PI: Assistant Professor Dan Gavin
People
Research projects
The laboratory
Software
Data

Research Projects
Forest responses to climate change
Tree species will shift their ranges in response to future climate change, but the mode and tempo of such changes is largely speculative. The duration of migrational lags depends upon dispersal rates, dispersal distances (existence of refugial or disjunct populations), and colonization success. We address these biogeographical questions using a retrospective approach involving statistical treatment of pollen and macrofossil data and quantitative climate reconstruction using a variety of paleoclimate proxies from lake sediments.
Scale-dependent controls of disturbance regimes
The historical range of variability of disturbance regimes is an important baseline to guide ecosystem management and to aid studies of ecosystem dynamics and species coexistence. For forest disturbances, the observational record does not adequately characterize this variability over time spans relevant to tree life cycles. Paleoecological methods, using proxy evidence from lake sediment and soils, provide unique long-term data for reconstructing disturbance regimes.
Tree-ring records of forest growth and disturbance dynamics
A persistent challenge to the study of growth rates of tree species is attributing causal factors to long-term growth trends. Factors affecting growth rates vary from simple mechanisms such as stand dynamics and the natural growth trends of trees, to insect outbreaks, soil nutrition, climate, and interactions of all these factors.
» Interactive effects of insects, fire and climate on fuel loads and fire behavior in mixed conifer forest
Bioclimatic envelope modeling
A study of climatic controls on forest composition during the Holocene should begin with an assessment of the current controls on species distribution. One way to study climatic controls of species distribution is bioclimatic envelope modeling: the prediction of species occurrence as a function of a small number of biologically meaningful variables.


Photos of field sites

Legend: A: Interior temperate rainforest project; B: Fire history of subalpine forests; C: Fire history of a coastal temperate rainforest; D: Vegetation history of the Olympic Peninsula; E: Fire history in the mixed-severity fire regimes of southern Oregon.