William F. Morris
· Professor of BiologyDuke University · Biology
Active 1989–2026
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About
William F. Morris studies the population ecology of plants and insects, including herbivores and pollinators. His current projects focus on the population dynamic consequences of constitutive and inducible resistance in plants, the maintenance of mutualistic interactions between flowering plants and nectar-robbing pollinators, and the use of population-level attributes to detect biotic responses to ongoing environmental changes. Additionally, he employs mathematical models to assess the viability of threatened and endangered populations. His research combines field experiments and mathematical modeling to study population dynamics in natural and managed systems. Since 2006, he has been a Professor of Biology at Duke University, affiliated with the Trinity College of Arts & Sciences. His work also involves understanding how climate-driven disturbances influence population models, the concept of demographic lability in relation to environmental variability, and the effects of climatic versus biotic drivers on plant fitness across ranges. His research is supported by multiple grants, including those from the National Science Foundation, and aims to address critical questions about how environmental changes impact biological populations.
Research topics
- Demography
- Geography
- Computer Science
- Biology
- Ecology
- Statistics
- Environmental science
- Econometrics
- Mathematics
- Algorithm
Selected publications
A critical comparison of integral projection and matrix projection models for demographic analysis
Ecological Monographs · 2021 · 72 citations
Abstract Structured demographic models are among the most common and useful tools in population biology. However, the introduction of integral projection models (IPMs) has caused a profound shift in the way many demographic models are conceptualized. Some researchers have argued that IPMs, by explicitly representing demographic processes as continuous functions of state variables such as size, are more statistically efficient, biologically realistic, and accurate than classic matrix projection m…
Journal of Ecology · 2020 · 27 citations
Abstract Predicting species' range shifts under future climate is a central goal of conservation ecology. Studying populations within and beyond multiple species' current ranges can help identify whether demographic responses to climate change exhibit directionality, indicative of range shifts, and whether responses are uniform across a suite of species. We quantified the demographic responses of six native perennial prairie species planted within and, for two species, beyond their northern rang…
Latitudinal gradients in population growth do not reflect demographic responses to climate
Ecological Applications · 2020 · 23 citations
Senior authorCorrespondingSpatial gradients in population growth, such as across latitudinal or elevational gradients, are often assumed to primarily be driven by variation in climate, and are frequently used to infer species' responses to climate change. Here, we use a novel demographic, mixed-model approach to dissect the contributions of climate variables vs. other latitudinal or local site effects on spatiotemporal variation in population performance in three perennial bunchgrasses. For all three species, we find tha…
Are genetic variation and demographic performance linked?
Evolutionary Applications · 2022-10-04 · 20 citations
articleOpen accessAbstract Quantifying relationships between genetic variation and population viability is important from both basic biological and applied conservation perspectives, yet few populations have been monitored with both long‐term demographic and population genetics approaches. To empirically test whether and how genetic variation and population dynamics are related, we present one such paired approach. First, we use eight years of historical demographic data from five populations of Boechera fecunda…
Restoration Ecology · 2023-02-08 · 8 citations
articleOpen accessHabitat restoration frequently focuses on reaching an idealized steady state, but this is unrealistic for disturbance‐dependent ecosystems where temporal variability is inherent and habitat conditions are expected to fluctuate. Understanding the ways in which the outcomes of restoration change over time in disturbance‐dependent ecosystems can better inform adaptive management plans and increase the likelihood that restoration efforts will be effective. We conducted a decade‐long restoration expe…
Recent grants
NSF · $233k · 2007–2013
NSF · $212k · 2012–2019
NSF · $233k · 2018–2025
Frequent coauthors
- 49 shared
Daniel F. Doak
University of Colorado System
- 24 shared
Allison M. Louthan
Kansas State University
- 22 shared
Diego P. Vázquez
Centro Científico Tecnológico - Mendoza
- 16 shared
Jeanne Altmann
- 15 shared
Brian R. Hudgens
- 15 shared
Nick M. Haddad
Michigan State University
- 15 shared
Susan C. Alberts
Duke University
- 15 shared
Marı́a B. Garcı́a
Education
Ph.D., Zoology
University of Washington
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