Michelle DePrenger-Levin

Michelle DePrenger-Levin
Denver Botanic Gardens · Department of Research and Conservation

Doctor of Philosophy
Rare plant demography; Applied conservation; Imperfect detection in plants

About

11
Publications
1,970
Reads
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50
Citations
Additional affiliations
October 2001 - present
Denver Botanic Gardens
Position
  • Research Associate

Publications

Publications (11)
Article
Full-text available
Stage‐structured population models are widely used for plant demographic studies to assess population dynamics. Over the last several decades, there have been advancements in mark‐recapture methods in animal systems, but little to no use in plants because of the assumption that all individuals available for capture are seen. We examine population t...
Article
Full-text available
Alpine plant species are particularly vulnerable to climate change. Temperature fluctuations are projected to be most severe at high elevations. Even small shifts in temperature have major consequences on phenology, reproduction, and community composition. Early life stages are arguably the most important processes in the fitness of an individual p...
Article
Full-text available
Life history traits are used to predict asymptotic odds of extinction from dynamic conditions. Less is known about how life history traits interact with stochasticity and population structure of finite populations to predict near‐term odds of extinction. Through empirically parameterized matrix population models, we study the impact of life history...
Preprint
Life history traits are used to predict asymptotic extinction risk from dynamic conditions. Less is known about how life history traits interact with stochasticity and population structure of finite populations to predict near-term extinction risk. Through empirically parameterized matrix population models, we study the impact of life history (repr...
Article
In this letter we present comments on the article "A global-scale ecological niche model to predict SARS-CoV-2 coronavirus" by Coro published in 2020.
Preprint
Full-text available
Glossary of terms agreed upon and used by Denver Botanic Gardens Research and Conservation during the 2018 field season.
Article
Full-text available
Phenology is one of the best indicators to observe plant responses to climate change and predict future changes in plant communities. Choosing indicator species to monitor biological responses to climate change may be improved if herbarium specimens are combined with ongoing monitoring efforts to understand phenological responses over longer period...
Article
Full-text available
Simulations are a key tool in molecular ecology for inference and forecasting, as well as for evaluating new methods. Due to growing computational power and a diversity of software with different capabilities, simulations are becoming increasingly powerful and useful. However, the widespread use of simulations by geneticists and ecologists is hinde...
Article
Astragalus microcymbus (Fabaceae) is a rare forb endemic to Gunnison County, Colorado. For 17 years, Denver Botanic Gardens and the U.S. Bureau of Land Management (Colorado State Office) have monitored four populations of this candidate species under the ESA in the South Beaver Creek Natural Area. Large, statistically significant population decline...
Article
The release of non-native insects to control noxious weeds is commonly used to combat invasions without disturbing the environment through chemical or mechanical methods. However, introduced biological control agents can have unintended effects. This study was initiated to evaluate potential non-target effects of the flowerhead weevil, Rhinocyllus...

Questions

Question (1)
Question
I am comparing several linear models (lm()) and find that aictab() reports K, the number of 'estimated' parameters for each model, as one more than expected. i.e. Linear models with slope and intercept: K=3, intercept only: k=2. Any idea of where this additional parameter is coming from or am I misinterpreting the number of 'estimated' parameters?

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