DEB species explorer
This web server provides Dynamic Energy Budget parameters - expected values and their probability distribution - for any of the 1.6 million species in the Catalogue of Life.
It builds on the add-my-pet collection of DEB parameters, which currently comprises nearly 1000 species.
To extrapolate to any new species, we use a phylogeny-aware method that account for taxonomic relationships between species (related species tend to have similar traits) and covariation
(power law relationships) between DEB's primary parameters.
This service is developed by Jorn Bruggeman at the Plymouth Marine Laboratory.
If you have questions, comments, or suggestions, please send these to firstname.lastname@example.org.
The infrastructure for this web service is based on Trait Explorer,
developed within the Marine Ecosystems Research Programme (MERP).
Frequently Asked Questions
- How do I use the results of this service?
Do not blindly use "best estimates" such as the expected value or median!
These values are subject to considerable uncertainty, which can be seen from the percentiles shown in the table and from the spread in model results in ensemble analyses.
Instead, we recommend you use all information - best estimates and their uncertainty - ideally in combination with new data specific to your species.
For instance, you can use the provided information to set plausible ranges (e.g., the 2.5th - 97.5th percentile) for the primary DEB parameters during calibration to new data,
or use the probability distribution (multivariate normal; mean and covariance matrix downloadable underneath the table) as prior in a Bayesian analysis. If you do not have additional data
on your species, we suggest you use an ensemble of models, constructed by drawing from the parameter probability distribution.
- Why do the parameter values provided here differ from the values given for the same species in the Add My Pet collection?
When analyzing the DEB parameters across all taxa, we distinguish two sources of variation: phylogenetic variation describes how parameter values tend to diverge
from some reference species as you move away from that species in the taxonomy, whereas phenotypic variation describes that the final parameter values you observe
(e.g., in AMP) are not necessarily identical to the true mean parameters of the species. The latter captures intraspecific variation in parameters, sampling error,
and parameter estimation uncertainty. In practice, that means that the best estimate for a species provided here does not only reflect the values for that species in AMP,
but also circumstancial information - particularly, parameter estimates of closely related taxa.
- Which typified models are supported?
Typified models use all parameters of the standard model, which retain their original interpretation, and add additional parameters to describe
specific phenomena (e.g., the onset of particular behaviour as a maturation or time threshold). Therefore, the estimates of the standard DEB parameters
provided here can be used for typified models too. If parameters specific to your typified model of choice are not estimated themselves,
you will need to fill these in on your own. However, result pages that show model simulations ("Model behaviour", "Ensemble simulation"),
only know about the the standard DEB model ("std") and one generalization - the DEB model with type M acceleration ("abj"). Results on these pages are implicitly
given for an "abj" model (that includes "std"). For species with other typified models - notably mammals, typified model "stf" or "stx" - these results (implied properties, figures) are incorrect.