NIMBioS Working Group:
Long Transients and Ecological Forecasting
Topic: Long living transients as a bugbear of ecological forecasting: Concepts, models and data
Meeting dates: March 1-3, 2017
Alan Hastings, Environmental Science and Policy, Univ. of California, Davis
Kim Cuddington, Biology, Univ. of Waterloo, Canada
Andrew Morozov, Mathematics, Univ. of Leicester, UK
Sergei Petrovskii, Mathematics, Univ. of Leicester, UK
Objectives: Predicting sudden changes in ecosystems - "regime shifts" - that often result in population collapse and biodiversity loss is a major issue for ecology and nature conservation. Analysis of population dynamics has traditionally focused on their long-term, asymptotic behavior, while largely disregarding transient dynamics. However, there is a growing understanding that in ecosystems the asymptotic behavior is rarely seen. In particular, a big new challenge for theoretical and empirical ecology is to understand the implications of long-living transients (LLT). The presence of LLT can be an explanation of regimes shifts alternative to "tipping points," so understanding of LLT would substantially improve the quality of long-term forecasting and crisis anticipation. At present, this research area seems to be in its infancy; systematic studies are lacking. Here we seek to make substantial progress in better understanding the role of LLT in ecology and in developing appropriate research techniques for long-term ecosystem management. The overall goal is to construct a unifying theory of LLT by combining the existing empirical facts, mathematical models, computational approaches and appropriate methods of data analysis. First, we will systematize the existing empirical data and models exhibiting LLT and classify the main scenarios of LLT based on the mechanisms that cause them. Second, we will revisit the mathematical techniques of description of LLT in models and set up milestones for necessary future advances. Finally, we will revisit the methods of data analysis in order to increase the reliability of revealing LLT from empirical data.
NIMBioS Working Groups are chosen to focus on major scientific questions at the interface between biology and mathematics. NIMBioS is particularly interested in questions that integrate diverse fields, require synthesis at multiple scales, and/or make use of or require development of new mathematical/computational approaches. NIMBioS Working Groups are relatively small (up to 10 participants), focus on a well-defined topic, and have well-defined goals and metrics of success. Working Groups will meet up to 3 times over a two-year period, with each meeting lasting up to 2.5 days.
A goal of NIMBioS is to enhance the cadre of researchers capable of interdisciplinary efforts across mathematics and biology. As part of this goal, NIMBioS is committed to promoting diversity in all its activities. Diversity is considered in all its aspects, social and scientific, including gender, ethnicity, scientific field, career stage, geography and type of home institution. Questions regarding diversity issues should be directed to Dr. Ernest Brothers, the NIMBioS Associate Director for Diversity Enhancement (firstname.lastname@example.org). You can read more about our Diversity Plan on our NIMBioS Policies web page. The NIMBioS building is fully handicapped accessible.