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Research
Overview
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The central theme of my research program has been to explore how spatial
pattern affects ecological processes, ranging from individual dispersal
and movement behavior to population and community responses to habitat
loss and fragmentation. My approach has been to integrate
computer simulation modeling with experimental or field investigations,
usually involving either birds or insects. Much of my recent
work has been founded on applications of neutral landscape models (1,2), which
provide a means of developing general, spatially explicit theory of how
landscape structure, and spatial pattern more generally, affects
ecological processes.
A recurring theme in my research has been the emergence
of critical threshold responses to landscape structure.
Landscape connectivity becomes disrupted abruptly at a critical level of
habitat loss and fragmentation, which ultimately depends upon the
dispersal abilities of the species (3-5). Different species thus possess
different perceptions of landscape structure. Habitat fragments
also become isolated at a critical level of habitat, when the interpatch
distances on the landscape rapidly increase (lacunarity
thresholds). This has implications for the ability of organisms to
locate or colonize suitable habitat on the landscape. These
lacunarity thresholds may thus precipitate dispersal thresholds, in
which dispersal success dramatically declines past some critical level
of habitat abundance (6). Experimental work with insects suggests that
the movement or search behavior of some species may exhibit threshold
responses to patch structure (7). Species that differ in their demographic
potentials, as a function of their dispersal and reproductive capabilities, may
exhibit an extinction threshold, where the population suddenly crashes
at some critical level of habitat abundance and fragmentation severity (8). Landscape structure can mitigate extinction risk for
some species by lowering the critical habitat threshold at which these
populations go extinct. Landscape structure (the amount and
spatial arrangement of habitat) also affects the ability of landscapes
to function as overall population sources or sinks, as was demonstrated
for various types of Neotropical migratory songbirds (9). Landscape
thresholds may also disrupt predator-prey interactions and affect the
ability of natural enemies to control pest outbreaks. Such
thresholds in species interactions have important implications for
conservation biological control, especially if native predators are
influenced more than exotic species by habitat loss and fragmentation (10). Greater reliance may be placed in the future on
introducing exotic species for the purpose of biocontrol as
agroecosystems become increasingly more fragmented. This is not
without ecological, as well as economic, costs. My current research
addresses how landscape
dynamics affect extinction risk for migratory songbirds (11-13), a group of
conservation concern, and involves a regional
assessment of population viability for grassland birds in
particular, which have exhibited steeper population declines than any
other avian group in North America (14-15).
Publications cited above:
1. With, K. A. 1997. The application of neutral landscape models in
conservation biology. Conservation Biology 11: 1069-1080.
2. With, K. A., and A. W. King. 1997. The use and misuse of neutral landscape
models in ecology. Oikos 79: 219-229.
3. With, K. A., and T. O. Crist. 1995. Critical thresholds in species'
responses to landscape structure. Ecology 76: 2446-2459.
4. With, K. A., and T. O. Crist. 1996. Translating across scales: simulating
species distributions as the aggregate response of individuals to heterogeneity.
Ecological Modelling 93: 125-137.
5. With, K. A., R. H. Gardner, and M. G. Turner. 1997. Landscape connectivity
and population distributions in heterogeneous environments. Oikos 78:
151-169.
6. With, K. A., and A. W. King. 1999. Dispersal success in fractal landscapes:
a consequence of lacunarity thresholds. Landscape Ecology 14: 73-82.
7. With, K. A., S. J. Cadaret, and C. Davis. 1999. Movement responses to patch
structure in experimental fractal landscapes. Ecology 80: 1340-1353.
8. With, K. A., and A. W. King. 1999.
Extinction thresholds for species in
fractal landscapes. Conservation Biology 13: 314-326.
9. With, K. A., and A. W. King. 2001. Analysis of landscape
sources and sinks: the effect of spatial pattern on avian demography. Biological
Conservation 100: 75-88.
10. With, K. A., D. M. Pavuk, J. L. Worchuck, R. K. Oates, and J. L.
Fisher. 2002. Threshold effects of landscape structure on biological control in agroecosystems. Ecological Applications
12: 52-65.
11. Schrott, G. R., K. A. With, and A. W. King. 2005a. On the importance of landscape
history for assessing extinction risk. Ecological Applications
15: 493-506.
12. Schrott, G. R., K. A. With, and A. W. King. 2005b.
Demographic limitations on the
ability of habitat restoration to rescue declining populations. Conservation
Biology 19: 1181-1193.
13. With, K. A., G. R. Schrott, and A. W. King.
2006.
The implications of metalandscape connectivity for
population viability in migratory songbirds. Landscape Ecology
21: 157-167.
14.
With, K. A., A. W. King, and W. E. Jensen. 2008.
Remaining
large grasslands may not be sufficient to prevent grassland bird
declines. Biological Conservation 141: 3152-3167.
15. Rahmig, C. J.,
W. E. Jensen, and K. A. With. 2009.
Grassland bird responses to
land management in the largest remaining tallgrass prairie.
Conservation Biology 23: 420-432.
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Ecology
of Infectious Disease: Epidemic Waves, Landscape Heterogeneity,
and Spatial Scale |
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| Spatial structure and
heterogeneity exist across a range of scales within agroecosystems, which
may influence the spread of economically important plant pathogens,
offering hope that widespread disease epidemics can be averted through
the careful management of landscape structure and heterogeneity of
agricultural systems. We will study two model systems: Wheat
stripe rust (above left), caused by the fungus Pucinia striiformis,
will be used to study the effects of landscape factors, focus size and
spatial scale on the spread of disease in experimental fields. At
a broader continental scale, the spread of the newly introduced soybean
rust pathogen (Phakosora pachyrhizi, above middle and right) will
be related to landscape measures to determine how heterogeneity and the
distribution of host species influences epidemic spread. Finally,
a simple epidemiological model will be coupled with neutral landscape
models to develop general insights into how landscape abundance, spatial
structure, and diversity of the host affect the spread of disease.
Issues of scale will be addressed by determining if the same
relationships between landscape factors and epidemic spread are found
across these two model systems which vary substantially in spatial
scale. If it is found that the effects of landscape structure and
heterogeneity on disease spread are generally similar across spatial
scales, then fine-scale experimental data may be useful for developing
epidemiological models of disease spread at broad spatial scales.
This project is funded under the joint NIH-NSF Ecology of
Infectious Disease Program. The research team consists of
Dr. Christopher C. Mundt (PI, Oregon State University),
Dr. Karen Garrett (Department of Plant Pathology, KSU),
Dr. James P. Stack (Department of Plant Pathology, KSU),
Dr. Kimberly A. With, and
Dr. Xiao-Bing
Yang (Iowa State University).
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Publications
featuring this research:
Margosian,
M. L. K. A. Garrett, J. M. S. Hutchinson, and K. A. With. 2009.
Connectivity of the American agricultural landscape: Assessing the
national risk of disease and crop pest spread. BioScience 59:
141-151.
Skelsey,
P., K. A. With, and K. A. Garrett.
Why dispersal should be
maximized at intermediate scales of heterogeneity. Theoretical
Ecology: in press. |
| Ecosystem Thresholds and
Alternate States in Great Plains Rivers and Streams: Cascading
Effects of Anthropogenic Hydrologic Disturbance  
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Fragmentation of Kansas river
networks is postulated to have affected the distribution of fishes
throughout the Great Plains, leading to extirpation of native species
from some rivers and the introduction and spread of exotic species in
others, resulting in a strong shift in community composition that may
compromise the biotic integrity and ecosystem function of these lotic
ecosystems. We will utilize geomorphic, long-term (40-100 years)
hydrologic, and land-use data to construct hydrologic models to describe
and predict the occurrence and duration of stream flows. We will also
quantify the spatiotemporal connectivity of stream networks in the
Kansas portion of the Great Plains. We will analyze a substantial,
georeferenced fish database, and additional data on unionid mussels
derived from collections taken over the last century, and link
alterations in species distributions to the changes in hydrology that
have occurred, particularly in the last 40 years. The hydrologic models
will also form the basis for developing a general fish dispersal model
for deriving functionally based definitions of stream connectivity and
for explaining and predicting species distributions within and among
stream networks.
This project ran from 2005-2008 and was funded under the EPA-STAR "Understanding Ecological
Thresholds in Aquatic Systems through Retrospective Analysis" Program.
The research team consists of Dr.
Walter Dodds (PI, KSU Biology), Dr. Kimberly With, Dr.
Keith Gido (KSU Biology), and
Dr.
James Koelliker (KSU Biological and Agricultural Engineering).
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Regional
Assessment of Population Viability for Grassland Birds in Agricultural
Grasslands

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| Landscape
conversion resulting from agricultural intensification has been one of
the most significant global changes of the past century, and is
particularly evident in the Midwest where <2-4% of native grasslands
remain.
Subsequently, grassland birds have exhibited steeper and more
widespread declines than any other group of North American birds. The
Flint Hills region of eastern Kansas and Oklahoma is the largest
tallgrass prairie landscape left on the continent, and should thus be a
population stronghold for grassland birds. Much of the Flint Hills
is managed for cattle production and agriculture, however.
The objectives of the project were to 1) determine whether current
range-management practices allow for sustainable grassland bird
populations; 2) evaluate how the Conservation Reserve Program and other
agricultural grasslands contribute to the conservation of grassland
birds at a local scale throughout this region, 3) determine how
different scenarios of land-use change (changes in range-management
practices or enrollment in CRP, loss and fragmentation of remaining
grassland habitat) will likely affect population viability of grassland
birds in the future, 4) examine how the assessment of
population status varies with the scale of analysis (from the local
field scale to landscape and regional scales), and 5) evaluate whether
it will be feasible to manage landscapes to reverse declining
populations. This research will thus contribute to the challenge
of how to balance conservation with agricultural production in such
human-dominated systems. It further fills a void in current regional
approaches to the conservation of biodiversity (e.g., Gap Analysis
Program) which assess only the co-occurrence of species (presence or
absence), by evaluating whether regions with high species richness are
actually capable of sustaining viable populations of those species.
The project ran from 2003-2007 and was funded under the USDA CSREES-NRI
Managed Ecosystems Program. The research team consisted of Dr.
Kimberly With (PI), Dr. William Jensen (Postdoctoral Research
Associate, Kansas State University), and Dr. Anthony King (Environmental Sciences Division, Oak
Ridge National Laboratory).
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Publications
featuring this research:
10. Klug,
P. E., J. Fill, and K. A. With. 2011.
Spatial ecology of
eastern yellow-bellied racer (Coluber constrictor flaviventris)
and Great Plains rat snake (Pantherophis emoryi) in a contiguous
tallgrass-prairie landscape. Herpetologica 67: 428-439.
9. Klug, P. E., S. L.
Jackrel, and K. A. With. 2010.
Linking snake habitat use to nest predation risk in grassland birds: the
dangers of shrub cover. Oecologia 162:803-813.
8. Klug, P. E. 2009.
Interactions
between grassland birds and their snake predators: the potential for
conservation conflicts in tallgrass prairie. Ph.D.
Dissertation. Kansas State University, Manhattan, Kansas.
7.
Long, A. M., W. E. Jensen, and K. A. With. 2009.
Orientation of Grasshopper Sparrow and Eastern Meadowlark nests in
relation to wind direction. Condor
111: 395-399.
6. Rahmig, C. J.,
W. E. Jensen, and K. A. With. 2009.
Grassland bird responses to
land management in the largest remaining tallgrass prairie.
Conservation Biology 23: 420-432.
5. With, K. A., A. W. King, and W. E. Jensen. 2008.
Remaining
large grasslands may not be sufficient to prevent grassland bird
declines. Biological Conservation 141: 3152-3167.
4. Frey,
C. M., W. E. Jensen, and K. A. With. 2008.
Topographic patterns of
nest placement and habitat quality for grassland birds in the Flint
Hills. American Midland Naturalist 160: 220-234.
3. With, K. A. 2007.
A regional assessment of
agricultural land use on grassland birds. NRI Research
Highlights, No. 1. United States Department of Agriculture,
Cooperative State Research, Education and Extension Service, National
Research Initiative, Washington, D.C.
2. Frey, C. M. 2006.
Topographic
variation in habitat quality and settlement patterns of grassland
passerines in the Flint Hills. M.S. Thesis. Kansas State
University, Manhattan, Kansas.
1. Jung, C. R. I. 2006. Variation
in the suitability of grassland management regimes for nesting grassland
birds in the Flint Hills. M.S. Thesis. Kansas State
University, Manhattan, Kansas.
Research in the news:
Disappearing Birds (CJ Online: Birds Declining in Flint Hills)
(Topeka Capital-Journal, 22 March 2009)
Grassland Birds in Flint Hills Region of Kansas, Oklahoma Face
Population Decline in Spite of Large Habitat Area (K-State News
Release, 3 March 2009)
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Assessment of
Extinction Risk in Dynamic Landscapes
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| Landscapes are being
transformed faster than ever before in human history, which requires
that extinction risk be assessed in a dynamic landscape context. This
research will contribute to a general understanding of how chronic
habitat loss and fragmentation affect extinction risk for migratory
songbirds, a group of conservation concern. This analysis will identify
critical levels of disturbance, and the specific components of the
disturbance regime, that drive sensitive species to extinction on
landscapes. Of particular interest will be the occurrence of extinction
thresholds, where small changes in landscape structure can have
unexpected consequences for population persistence. The life-history
traits that predispose species to be sensitive to particular forms of
disturbance architecture will be identified by this approach. The
combination of landscape and life-history traits will provide simple
criteria that can be used by resource managers in a screening-level
assessment of extinction risk. The analysis of extinction risk in
dynamic landscapes will also permit an assessment of whether habitat
restoration or other landscape management can reduce extinction risks or
reverse population decline, and the magnitude of landscape change that
might be required.
This project ran 2001-2004 and was funded under the EPA-STAR Wildlife Risk Assessment Program.
The research team consisted of Dr. Kimberly With
(PI), Dr. Gregory Schrott (Postdoctoral Research
Associate, Kansas State University), and Dr. Anthony King (Environmental
Sciences Division, Oak Ridge National Laboratory). |
Publications
featuring this research:
5. With, K. A., G. R. Schrott, and A. W. King.
2006.
The implications of metalandscape connectivity for
population viability in migratory songbirds. Landscape Ecology
21: 157-167.
4.
With, K. A. 2005.
Case study: Assessing
extinction risk in migratory songbirds: the need for landscape-based
demographic models. Pp. 449-453 in Principles of Conservation
Biology, 3rd edition (M. J. Groom, G. K. Meffe, C. R. Carroll, and
contributors). Sinauer, Sunderland, MA.
3. Schrott, G. R., K. A. With, and A. W. King. 2005b.
Demographic limitations on the
ability of habitat restoration to rescue declining populations. Conservation
Biology 19: 1181-1193.
2.
Schrott, G. R., K. A. With, and A. W. King. 2005a. On the importance of landscape
history for assessing extinction risk. Ecological Applications
15: 493-506.
1.
With, K. A. 2004. Metapopulation dynamics: perspectives
from landscape ecology. Pp. 23-44 in Metapopulation Dynamics:
Ecology, Genetics, and Evolution of Metapopulations (I. Hanski and O. E.
Gaggiotti, editors). Academic Press, San Diego, CA.
Research in the news:
Kansas
State University News Release (27 May 2005)
Will
Songbirds Find a Home on the Range? (K-State Perspectives, June
2002) |
Effect of Habitat Fragmentation on Biodiversity and Species Interactions--Experimental
Landscape Ecology
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An Experimental
Model Landscape System (EMLS), inspired by neutral landscape models,
was established in the field to assess how habitat connectivity
affects species interactions (predator-prey and host-parasitoid
relationships) and the structure and dynamics of terrestrial arthropod
communities that naturally colonized clover habitat in this
agroecosystem. This research is being done in collaboration with
Dr. Daniel Pavuk of the Department of Biological Sciences at Bowling
Green State University, and was supported by the National Science
Foundation. This funding and supplemental grants from the NSF
Research Experience for Undergraduates Program also enabled the
participation of more than a dozen students in ecological
research.
The first publication (With
et al. 2002) to emerge from this
project reports on how thresholds in landscape structure (lacunarity
thresholds) affect the ability of natural enemies to track the
distribution of insect pests (biocontrol thresholds). Landscape
thresholds precipitate similar thresholds in the distribution of aphid
populations, which become isolated (fragmented) when clover habitat
falls below 20%. An exotic coccinellid (Harmonia axyridis)
that was introduced specifically for the biocontrol of pea aphids was
able to track this threshold in the distribution of its aphid prey, but
an indigenous coccinellid (Coleomegilla maculata) was unable to
do so. An analysis of movement responses to patch structure
at different scales revealed that the biocontrol agent was much more
mobile, exhibiting a greater propensity to move within and between
landscape plots, than the indigenous coccinellid. The native
predator was thus more sensitive to habitat fragmentation and was unable
to track aphid distributions when they became scarce and patchily
distributed (i.e., <20% habitat). If native predators are
generally more sensitive to habitat fragmentation than exotic species,
our study suggests that we may become increasingly dependent upon the
introduction of exotic biocontrol agents that are better able to track
pest populations below the biocontrol threshold as agroecosystems become
progressively more fragmented. This will obviously incur
great ecological, as well as economic, costs. In addition to
economic thresholds, there are also ecological thresholds that must be
surmounted for successful biocontrol.
Landscape ecology is defined as the study of
how spatial pattern affects ecological process. Thus, this project
also demonstrates how landscape ecology can profitably be applied at
finer spatial scales to test hypotheses regarding how landscape
structure affects predator movement responses to prey distributions,
species interactions, and community dynamics.
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Aerial
view of the 4-ha Experimental Model Landscape System (EMLS)
located north of the Bowling Green State University campus in
Ohio. Each plot is a 16 x 16-m2 "landscape"
in which red clover (Trifolium pratense) has been seeded in a
specified fractal pattern to produce complex habitat distributions
across a range of fragmentation severity. Plots represent a
replicated series of habitat abundance (10,20,40,50,60 and 80% clover)
and fragmentation (H = 0.0, fragmented vs. H = 1.0,
clumped). White area within plots is compacted soil, which
contrasts with the darker soil between plots that was plowed just prior
to taking this photo. |
Publications
featuring this research:
With, K. A., and D. M. Pavuk.
2012. Direct versus indirect effects of habitat fragmentation
on community patterns in experimental landscapes. Oecologia
170:
517-528.
With, K. A., and D. M. Pavuk. 2011.
Habitat area trumps fragmentation effects on arthropods
in an experimental landscape system. Landscape Ecology 26:
1035-1048.
With, K. A., D. M. Pavuk, J. L. Worchuck, R. K. Oates, and J. L.
Fisher. 2002. Threshold effects of landscape structure on biological control in agroecosystems. Ecological Applications 12: 52-65.
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