Title Testing the
Coastal Refuge Hypothesis: Comparative Phylogeography of Three Mammals in the Alexander Archipelago of the North Pacific
Key Words: Island
Systems, Endemism, Alexander Archipelago,
Phylogeography
During
the last glacial maximum (LGM), southcoastal Alaska was covered by ice sheets, but
isolated coastal refugia have been hypothesized (3). As the glaciers receded
about 10,000ybp, plants and animals are thought to have re-colonized the region
from refugial populations along the North Pacific Coastisl and populations and
also refugia south (e.g. Oregon) and north (e.g. Beringia) of the region (3,
13). This resulted in admixture of divergent source populations and high levels
of island endemism.
Island
systems often support genetically distinct populations due to prolonged
isolation from the mainland. In many cases, these systems are also rich in
cryptic species, key components to biodiversity (1). Effects of island size and
isolation on species richness and evolution in tropical systems provide
textbook examples in ecology and evolution; however, these relationships in
northern latitude archipelagos are less known. The biogeographical history of
island systems has significant impact on genetic structure of insular
populations. But the relationship of distance (among islands and between the
mainland) and genetic structure and its effects on endemism are not well
studied. Because changes in environmental conditions may elevate extinction
risk, owing to small populations, modest ranges, and limited mobility,
understanding these systems is essential to preserve ecosystem services (10,
12, 14, 16).
With
2000 named islands, including 7 of the 15 largest US
islands, the Alexander Archipelago (AA) of Alaska is one of the planet’s most extensive
archipelagos, but has not been well studied. The AA is part of the largest
temperate rainforest in the world and includes the Tongass National Forest,
our largest National Forest. The Tongass has been exploited by logging
companies, with more than 70% old growth forest removed to date (10). The AA is
considered an evolutionary hot spot due to a complex history of glaciation,
resulting in unique patterns of endemism and evolutionary divergence (5).
I became
interested in phylogeography when I began my work as a research assistant at
the University of
Miami. The practical
application and broader goal associated with such an evolutionary genetic
approach caught my attention; the ability to identify climatic change that lead
to species differentiation and use this knowledge in habitat preservation. For
my PhD, I will explore general principles of molecular evolution with regard to
insularity and divergence. I will examine the historical biogeography,
geographic structure and connectivity of three wide-spread sympatric species: Sorex monticolus (dusky shrew), Peromyscus keeni (Keen’s mouse), and Microtus longicaudus (long-tailed vole).
These species have high potential for endemism, and zones for each were
identified where distinctive lineages have expanded (4, 6, 11).
I hypothesize that 1) these sympatric
species will share patterns of genetic structure related to the geographic
history of the archipelago, including the signature of a hypothesized coastal
refugium, 2) genetic divergence will increase relative to island isolation and
3) contact zones will provide insight into the colonization by coastal
populations through distinct genetic signatures. For finer scale analyses to assess corridors for species
movement, contact zones and proposed barriers (3) I will reconstruct island
connectivity based on bathymetric projections.
These reconstructions will show sea level changes during the LGM, thus
exposing more land surface (14). The laboratory skills I gained as a research assistant
at the University
of Miami, along with my
field experience acquired summer of 2007, will contribute to my ability to
address these questions.
Preliminary
studies using mitochondrial DNA identified many island endemics and significant
inter-island diversification in mammals (4, 6, 7, 11). However, larger sample
sizes and independent evidence (e.g. nuclear loci) are required to further
investigate the evolutionary history and relative connectivity among
populations (2). I will analyze 590 archived samples from the University of Alaska
and Museum of Southwestern
Biology at the University
of New Mexico. Additional
samples will be collected in the field from focal areas, chosen based on
proposed refugia, island size, and isolation. Collection of samples will follow
the Institutional Animal Care and Use Committee (IACUC) animal subject
protocols, enforced by the University
of New Mexico. Lab work
will follow standard protocols for DNA extraction, amplification and
sequencing. Analyses will include a population genetics approach using Fu’s Fs,
coalescent theory (8, 9), and STRUCTURE, as well as Bayesian phylogenetic
approaches for both intra- and interspecific analysis. I will analyze 5
different nuclear DNA loci for 20 different populations (n=10) of each species
within the AA to pinpoint colonization events, population range expansion and
diversification in fragmented landscapes.
In
addition to testing the impact of historical geologic events on geographic
structure, inferences from these three species can be used to understand
whether endemic plants and animals are vulnerable to change from increased
logging practices coupled with other anthropogenic impacts (e.g. roads,
introduction of invasive species), and climate change. I will present
guidelines related to spatial endemism within the AA (and extended it to other
island systems or fragmented habitats) to improve existing management programs
on the Tongass National Forest and conserve vulnerable species and island
ecosystems.
As part
of this project, I am already mentoring an underrepresented undergraduate, and
will eventually involve high school students, in genetic laboratory techniques
and experiences. The results of this study will be submitted to high impact
scientific journals, presented at symposiums and shared with agencies and policy
makers responsible for forest management. This study has practical applications
to improvement of ecology management strategies and the development of
Pleistocene parks.
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