Helen Sofaer

Many managers are hampered by the scope of the invasive species problem compared to their available resources. Habitat suitability models of invaders can help fill this resource gap, helping with activities such as watch list compilation and targeted surveillance and eradication efforts.

Climate matching is a method for understanding species distributions and ranges and may be used as part of horizon scanning. Horizon scanning is the process of examining potential risk of invasion of new invasive species. Preventing new invasive species invasion requires less time and resources than attempting to control and remove established invasive species. Horizon scanning allows resource...

Shipping containers that are transported by water vessels traveling between islands and the mainland or other islands can act as a vector for invasive species that are accidentally transported with the cargo. If the vessel carries a lot of cargo, or cargo has areas for different species to hide, inspections can be difficult, time consuming, and expensive, or in the case of non-agricultural...

Early detection of invasive species can enable their successful eradication. With climate change and dynamic patterns of global trade, it is difficult to predict which new invasive species will next get introduced and where introduction and establishment will occur. We are analyzing where non-native species have first established in Hawai‘i to develop mapped predictions of the relative risk of new...

Climate change and invasive species are transforming ecosystems. The Resist-Accept-Direct (RAD) framework organizes management objectives into those that seek to Resist change and maintain historical ecological communities, those that Accept some or all aspects of ecological transformation, and those that Direct an ecological community to a preferred state. We are evaluating risks posed by climate...

Invasive annual grasses can replace native vegetation and alter fire behavior, impacting a range of habitats and species. A team of researchers from the U.S. Geological Survey, Colorado State University, the Bureau of Land Management, and the U.S. Fish and Wildlife Service are working to identify factors that influence changes in the distribution and abundance of invasive annual grasses (IAGs)...

Acalolepta aesthetica , known as the Queensland Longhorn Beetle, is a wood-boring beetle that has recently emerged as a problematic invader on the Hawai‘i Island. We are determining its current range and identifying patterns of host tree use, focusing on culturally important and native trees.

Understanding invasive plant impacts can provide insight into community assembly and inform the development of successful management strategies. The impacts of invasive species depend on how they alter patterns of abundance within recipient communities and on the characteristics of the invaders and the affected species. Research has suggested that common species may be more impacted by invasions,

As climate change progresses, profound environmental changes are becoming a widespread concern. A new management paradigm is developing to address this concern with a framework that encourages strategic decisions to resist, accept, or direct ecological trajectories. Effective use of the Resist-Accept-Direct (RAD) framework requires the scientific community to describe the range of plausible ecolog

View this webinar to learn how scientists are projecting the impacts of climate change on birds in the Prairie Pothole Region.

Invasive plants are a major land management problem in the Western U.S. Cheatgrass (Bromus tectorum) is the most prominent and problematic invader in cold deserts, with negative effects on rangeland fire patterns, wildlife habitats, and forage/vegetation. Red brome (B. madritensis) is an invader in the Mojave Desert, and can similarly introduce a new fire patterns to sensitive warm desert scrub. T

The Resource for Advanced Modeling room provides a collaborative working environment for up to 20 scientists, supported with networked, wireless computing capability for running and testing various scientific models (e.g., Maxent, Boosted Regression Trees, Logistic Regression, MARS, Random Forest) at a variety of spatial scales, from county to global levels. Models use various predictor layers...