Solving Conservation Puzzles
Welcome to Elise Zipkin’s Quantitative Ecology Lab
Our lab develops statistical models to unravel some of the world’s most alarming natural mysteries at the intersection of ecology, conservation biology, and the management of biodiversity. We study the status, trends and dynamics of populations and communities – insects, birds, amphibians, fish, reptiles, and mammals.
Our mission: to understand and predict how and why nature is changing, the consequences of those changes, and what, if any, action is recommended.
We combine multiple data types to estimate species patterns across space and time relative to environmental variables.
We evaluate both individual species impacts as well as critical community responses and metrics of biodiversity.
Unmarked Data Models
We develop models to estimate species abundance and biological parameters from the most widely available data types.
Understanding monarch butterfly trajectories
Monarchs are declining across North America. We integrate data across the monarch’s migratory life cycle to determine why they are declining and how these butterflies may fare in the future under climate change.
Assessing bird species and community dynamics
Even similar bird species can respond differently to climate and environmental variables. We develop models to examine both species and community responses to natural and anthropogenic stressors.
Predicting management actions on amphibians
Amphibians need specific environmental conditions to thrive. Working to understand management needs, we create models to predict how conservation actions can impact populations and communities.
Evaluating anthropogenic stress on mammals
Mammals are sensitive to the ways in which their habitats are altered by humans. We combine multiple data sources to estimate species distributions in relation to biotic and abiotic landscape variables.
Our latest research determined the importance of breeding season weather to the population dynamics of eastern North American monarch butterflies and what the future might hold for monarchs under climate change.
A new model developed by graduate student Matt Farr is extracting more information than ever from camera traps and other low-cost data sources to help inform ecological studies and conservation efforts.
Elise spent her recent sabbatical at Tel Aviv University as a Fulbright Senior Scholar where she worked with Israeli researchers to assess the effects of climate change on insects using data from the The Steinhardt Museum of Natural History.
Graduate student Sam Ayebare received a Russell E. Train Fellowship from the World Wildlife Fund to support his PhD research and facilitate his next steps with a career in Uganda, his home country.
With a grant from the USGS Midwest Climate Adaptation Science Center, the lab is working with Georgetown, USGS, and USFWS to shed new light on butterflies using 30 years of data.