Lytle Lab publications
2008 (in press, email for preprint). Lytle, D.A. Life-history and behavioural adaptations of aquatic insects in disturbed environments. In J. Lancaster and R. Briers (Eds.) Aquatic Insects: Challenges to Populations. CABI International, London.
2008 (in press, email for preprint). Lytle, D.A., J.D. Olden, L.E. McMullen. Drought-escape behaviors of aquatic insects may be adaptations to highly variable flow regimes characteristic of desert rivers. Southwestern Naturalist.
2008. Lytle, D.A., M.T. Bogan, and D.S. Finn. Evolution of aquatic insect behaviors across a gradient of disturbance predictability. Proceedings of the Royal Society - Series B 275: 453-462.
2007. Finn, D. S., M. Blouin, D. A. Lytle. Population genetic structure reveals terrestrial affinities for a headwater stream insect. Freshwater Biology 52: 1881-1897.
2007. Bogan, M. T. and D. A. Lytle. Seasonal flow variation
allows "time-sharing" by disparate aquatic insect communities in montane desert streams.
Freshwater Biology
52:
290-304.
2007. Lytle, D.A., &
N. J. White. Rainfall cues and flash-flood escape in desert stream insects.
Journal of Insect Behavior 20:413-423.
2007. Hall, S. R., M. A.
Leibold, D. A. Lytle, V. Smith. Grazers, producer stoichiometry, and the light:nutrient hypothesis revisited.
Ecology
88(5): 1142-1152.
2007. Larios, E., H. Deng, W. Zhang, M. Sarpola,
J. Yuen, R. Paasch, A. Moldenke,
D. A. Lytle, S. R. Correa, E. Mortensen, L. Shapiro, T. Dietterich.
Automated insect identification through concatenated histograms of local
appearance features: feature vector generation and region detection for
deformable objects.
Machine Vision and Applications.
DOI 10.1007/s00138-007-0086-y.
2007. E. N. Mortensen,
E. L. Delgado, H. Deng, D. Lytle, A. Moldenke, R. Paasch, L. Shapiro, P. Wu, W.
Zhang, T. G. Dietterich. Pattern Recognition for Ecological Science and
Environmental Monitoring: An Initial Report. pp.189-206 in N. MacLeod
(Ed.) Automated Taxon Identification in Systematics: Theory, Approaches and Applications. CRC
Press,
2007. Larios, E., H. Deng, W. Zhang, M. Sarpola,
J. Yuen, R. Paasch, A. Moldenke,
D. A. Lytle, S. R. Correa, E. Mortensen, L. Shapiro, T. Dietterich.
Automated insect identification through concatenated histograms of local
appearance features.
IEEE Workshop on Applications of Computer Vision.
DOI 10.1109/WACV.2007.13.
2006. Hall, S. R., M. A.
Leibold, D. A. Lytle, V. Smith. Inedible producers in
stoichiometrically-explicit food webs: inter-trophic competition and controls on food quality for
grazers.
American Naturalist
167(5): 626-635.
2005. Hall,
S. R., V. Smith, D. A. Lytle, M. A. Leibold. Constraints
on primary producer N:P stoichiometry
along N:P supply ratio gradients.
Ecology 86(7): 1894-1904.
2004.
Lytle, D. A. and N. L. Poff. Adaptation to natural flow regimes. Trends in Ecology and Evolution 19(2): 94-100.
Assembles known examples of plants and animals that
have evolved life history, behavioral, or morphological traits for surviving
flood or drought, and discusses what these adaptations mean for stream and
river conservation.
2004. Lytle, D. A. and D. M. Merritt. Hydrologic regimes and riparian forests:
a structured population model for cottonwood. Ecology 85(9):
2493-2503. Describes a modeling approach that can be used to
understand how different cycles of flood and drought affect long-term
population dynamics of cottonwood forests.
2004. Lytle, D. A. and R. L. Smith. Exaptation and flash flood escape in the giant water bugs. Journal of Insect Behavior 17(2): 169-178. Describes how flood escape behavior was coopted from an ancient (>150 m.y. old) migratory behavior.
2004. Hall, S. R., V. H. Smith, D. A. Lytle, and M. A. Leibold. Stoichiometry and planktonic grazer composition over gradients of light, nutrients, and predation risk. Ecology 85(8): 2291-2301. Results of a mesocosm experiment that explores species sorting of zooplankton communities across ecological conditions (light, nutrients, predators) observed in natural ponds.
2003. Lytle, D. A. Reconstructing long-term flood regimes with rainfall data: effects of flood timing on caddisfly populations. Southwestern Naturalist 48(1): 36-42. Describes how the statistical properties of monsoon rainstorms can be exploited to estimate flood timing and frequency, and what this means for caddisfly populations.
2002. Lytle, D. A. Flash floods and aquatic insect life-history evolution: evaluation of multiple models. Ecology 83(2): 370-385. A test of theory developed in the 2001 Am. Nat. paper. Caddisfly life histories are temporally synchronized to avoid flash floods.
2001. Lytle, D. A. Convergent growth regulation in arthropods: biological fact or statistical artifact? Oecologia 128(1): 56-61. Shows how growth increment analysis has undesirable statistical properties - avoid it! Use geometric mean regression instead.
2001. Lytle, D. A. Disturbance regimes and life history evolution. American Naturalist 157(5): 525-536. Describes a model for exploring how disturbance timing, frequency, severity, and predictability affect the evolution of life history strategies. I had aquatic insects in mind, but the theory is general.
2001. Lytle, D. A. and B. L. Peckarsky. Spatial and temporal impacts of a diesel fuel spill on stream invertebrates. Freshwater Biology 46: 693-704.
2001. Peckarsky, B. L., B. W. Taylor, A. R. McIntosh, M. A. McPeek, & D. A. Lytle. Variation in mayfly size at metamorphosis as a developmental response to risk of predation. Ecology 82(3): 740-757.
2000. Lytle, D. A. Biotic and abiotic effects of flash flooding in a montane desert stream. Archiv f�r Hydrobiologie 150(1): 85-100.
1999. Lytle, D. A. Use of rainfall cues by Abedus herberti (Hemiptera: Belostomatidae): a mechanism for avoiding flash floods. Journal of Insect Behavior 12(1): 1-12. This Quicktime video clip (9 MB) of an A. herberti, heading for high ground after a (simulated) monsoon rainstorm, explains it all.