Reclassifying weather data to use PoPS

Currently, PoPS users are responsible for obtaining raw weather data to calibrate PoPS. Below are some resources for weather data:

How does PoPS incorporate weather in the model?

During calibration of a case study for PoPS, all raw temperature and precipitation values are first converted to indices ranging from 0 to 1 to describe their impact on a species’ ability to survive and reproduce; the transformations, tailored for each species, are saved in the PoPS database.

The PoPS Platform organization

Due to the modular nature of PoPS, weather components can be turned on or off. For example, a case study of Sudden Oak Death (SOD) used a polynomial function to convert daily Daymet (Thornton et al. 2017) temperature and a threshold of 2.5 mm to convert daily Daymet precipitation into weekly weather coefficients ranging from 0 to 1 (Meentemeyer et al. 2011).

Sudden Oak Death weather reclassification

In contrast, a case study of Spotted Lanternfly (SLF) used a step function to convert daily Daymet temperature into a monthly coefficient ranging from 0 to 1. Because SLF spread does not depend on precipitation, that component of the model was turned off.

Spotted Lanternfly weather reclassification