New publication from Tague Team Lab member Dr. Erin Hanan et al. about a new approach for initializing vegetation stores in a watershed model. Typical initialization methods such as spin‐up to steady state (which assumes uniform vegetation age across a landscape) or remote sensing with allometric relationships (which are species and region specific and do not account for the effects of local resource limitation) are evaluated along with this new method, which uses the mechanistic stability of model spin‐up to match spatially explicit targets established by remote sensing data. This new approach shows potential for improving biogeochemical projections, particularly in heterogeneous, disturbance‐prone watersheds.
Hanan, E.J., Tague, C., Choate, J., Liu, M., Kolden, C., Adam, J. (2018) Accounting for disturbance history in models: using remote sensing to constrain carbon and nitrogen pool spin‐up, Ecological Applications doi.org/10.1002/eap.1718