Ecology, Habitat, Riparian zone, Community structure and Flood myth are his primary areas of study. His Ecology and Life history, Ecosystem, Redfield ratio, Phytoplankton and Mesocosm investigations all form part of his Ecology research activities. His study in Life history is interdisciplinary in nature, drawing from both Adaptation, Entire population and STREAMS.
His Ecosystem research incorporates elements of Taxonomic rank and Metacommunity. His studies deal with areas such as Biodiversity, Biological dispersal and Predictability as well as Habitat. He has researched Flood myth in several fields, including Organism, Vital rates, Natural flow and Deciduous.
His scientific interests lie mostly in Ecology, Habitat, Ecosystem, Biological dispersal and Species richness. His Ecology research incorporates themes from Flood myth and STREAMS. His biological study spans a wide range of topics, including Perennial plant and Taxon.
As a member of one scientific family, David A. Lytle mostly works in the field of Habitat, focusing on Community structure and, on occasion, Regime shift. His work deals with themes such as Metacommunity, Natural flow, Riparian zone and Zooplankton, which intersect with Ecosystem. David A. Lytle works mostly in the field of Species richness, limiting it down to topics relating to Abiotic component and, in certain cases, Trophic level.
His main research concerns Ecology, Ecosystem, Biodiversity, Habitat and Riparian zone. His Ecology study combines topics from a wide range of disciplines, such as Population growth and STREAMS. His work carried out in the field of STREAMS brings together such families of science as Drainage basin, Water scarcity, Chironomidae and Arid.
The study incorporates disciplines such as Invertebrate and Metacommunity in addition to Ecosystem. His work is dedicated to discovering how Biodiversity, Species sorting are connected with Phytoplankton, Zooplankton, Paradox of the plankton and Primary producers and other disciplines. His Habitat study combines topics in areas such as Carrying capacity, Aquatic ecosystem and Population size.
His primary areas of investigation include Ecology, Ecosystem, Biodiversity, Habitat and Community structure. His Ecology study spans across into subjects like Government, Work, Public administration, Flow management and Public domain. His work in the fields of River ecosystem overlaps with other areas such as Environmental resource management.
David A. Lytle interconnects Species diversity, Predictability, Seasonality and Temporal scales in the investigation of issues within Habitat. His work in Community structure addresses issues such as Streamflow, which are connected to fields such as Riparian zone. His Beta diversity research is multidisciplinary, incorporating elements of Invertebrate, Aquatic ecosystem, Resistance and STREAMS.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Adaptation to natural flow regimes
David A. Lytle;N. LeRoy Poff.
Trends in Ecology and Evolution (2004)
Theory, methods and tools for determining environmental flows for riparian vegetation: riparian vegetation‐flow response guilds
David M. Merritt;Michael L. Scott;N. LeROY Poff;Gregor T. Auble.
Freshwater Biology (2010)
VARIATION IN MAYFLY SIZE AT METAMORPHOSIS AS A DEVELOPMENTAL RESPONSE TO RISK OF PREDATION
Barbara L. Peckarsky;Barbara L. Peckarsky;Brad W. Taylor;Brad W. Taylor;Angus R. McIntosh;Angus R. McIntosh;Mark A. McPeek.
Ecology (2001)
HYDROLOGIC REGIMES AND RIPARIAN FORESTS: A STRUCTURED POPULATION MODEL FOR COTTONWOOD
David A. Lytle;David M. Merritt.
Ecology (2004)
Disturbance Regimes and Life‐History Evolution
David A. Lytle.
The American Naturalist (2001)
Ecosystem effects of environmental flows: Modelling and experimental floods in a dryland river
Patrick B. Shafroth;Andrew C. Wilcox;David A. Lytle;John T. Hickey.
Freshwater Biology (2010)
Automated insect identification through concatenated histograms of local appearance features: feature vector generation and region detection for deformable objects
Natalia Larios;Hongli Deng;Wei Zhang;Matt Sarpola.
machine vision applications (2008)
Are large‐scale flow experiments informing the science and management of freshwater ecosystems?
Julian D. Olden;Christopher P. Konrad;Theodore S. Melis;Mark James Kennard.
Frontiers in Ecology and the Environment (2014)
Severe drought drives novel community trajectories in desert stream pools
Michael T. Bogan;David A. Lytle.
Freshwater Biology (2011)
CONSTRAINTS ON PRIMARY PRODUCER N:P STOICHIOMETRY ALONG N:P SUPPLY RATIO GRADIENTS
Spencer R. Hall;Val H. Smith;David A. Lytle;Mathew A. Leibold.
Ecology (2005)
Profile was last updated on December 6th, 2021.
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