SPECIES PERSISTENCE IN CHANGING SEASONAL ENVIRONMENTS
A new holistic framework integrating demography and biotic interactions (SEASON)
Funded by MSCA-IF-2019
July 2020-June2021
When and where are biotic interactions important determinants of species persistence?
Most species show seasonal variation in survival and reproduction, which determines and is affected by biotic (intra- and interspecific) interactions. Such demography-biotic-interaction feedbacks, in turn, mediate community responses to seasonal patterns in environmental factors. Changing these seasonal patterns, which then results in adverse effects on the demography of interacting species, is one important way in which global environmental change alters biodiversity. However, as population and community responses to changes in seasonality are typically studied separately, we lack a mechanistic understanding of the processes that threaten the persistence of interacting species, posing a major challenge to biodiversity conservation. SEASON aims to bridge this fundamental knowledge gap by linking demographic processes and biotic interactions under changes in the seasonality of environmental factors across time and space. Integrating theoretical and empirical analyses, the two main objectives of this project are to (i) develop an analytical framework which assesses how demography-biotic-interaction feedbacks mediate multi-species population responses to seasonality change; and (ii) apply the framework on empirical systems to synthesize novel information on the importance of the feedbacks.
The project consists of two parts
Theoretical analyses
Theoretical analyses
Theoretical analyses
Create simulated datasets of species abundances for different interaction types (predator-prey, competition, mutualism). Then do lots of perturbations and sensitivity analyses to create hypotheses on the importance of feedbacks between demography and biotic interactions in keeping a system stable.
Here are some results from the simulations (presented at BES 2020)
UPDATE
Multispecies demographic models are now a new module (vignette 6) in the cxr R package for modelling species co-existence (paper coming soon)
Empirical analyses
Theoretical analyses
Theoretical analyses
Test the hypotheses generated during theoretical simulations on lots of fantastic empirical demographic data on interacting species.
UPDATE
Our first paper on the importance of explicitly modelling species interactions is out. Here is a free view-only version. I also wrote a Twitter thread summarizing the paper.
Collaborators
Prof. Eloy Revilla
Prof. Revilla hosts my project at EBD CSIC. We are in contact with numerous researchers to integrate seasonal demographic data for Iberian lynxes, red foxes, red kites, rabbits, and other species.
Prof. Arpat Ozgul
I will be visiting Prof. Ozgul's group at UZH to perform capture-recapture analyses needed for some of the empirical data
Dr. Monica Bond and Prof. Derek Lee
The two manage the Wild Nature Institute , and I am excited to model some of their amazing ungulate data.
Dr. Carsten Schradin
Dr. Schradin manages the Striped Mouse Project in the Succulent Karoo. Over > 15 years, the project has collected demographic data on on these social rodents; combined with data on other species in the Succulent Karoo, we will be able to develop interesting multi-species demographic models.
Prof. Marta Manser and Prof. Tim Clutton-Brock
I am collaborating with the Kalahari Meerkat Project to assess host-pathogen interactions and the demographic consequences for meerkat persistence.