Assessing the robustness of spatial pattern sequences in a dryland vegetation model.
A particular sequence of patterns, 'gaps→labyrinth→spots', occurs with decreasing precipitation in previously reported numerical simulations of partial differential equation dryland vegetation models. These observations have led to the suggestion that this sequence of patterns can serve as an early indicator of desertification in some ecosystems. Because parameter values in the vegetation models can take on a range of plausible values, it is important to investigate whether the pattern sequence prediction is robust to variation. For a particular model, we find that a quantity calculated via bifurcation-theoretic analysis appears to serve as a proxy for the pattern sequences that occur in numerical simulations across a range of parameter values. We find in further analysis that the quantity takes on values consistent with the standard sequence in an ecologically relevant limit of the model parameter values. This suggests that the standard sequence is a robust prediction of the model, and we conclude by proposing a methodology for assessing the robustness of the standard sequence in other models and formulations.
Department of Engineering Sciences and Applied Mathematics , Northwestern University , Evanston, IL 60208, USA.
Karna
0000-0001-6812-4745
K
Gowda
Department of Engineering Sciences and Applied Mathematics , Northwestern University , Evanston, IL 60208, USA.
Yuxin
Y
Chen
Paulson School of Engineering and Applied Sciences , Harvard University , Cambridge, MA 02138, USA.
Sarah
S
Iams
Department of Statistics , The University of Chicago , Chicago, IL 60637, USA.
Mary
M
Silber
desertification; dryland ecosystems; early-warning signs; models of vegetation pattern formation; pattern formation