What is GenEst and how is it used to estimate wind turbine fatality rates?

GenEst (Generalized Mortality Estimator) gives a wind farm operator a defensible, bias-corrected fatality number from raw carcass counts. It is the fatality estimator the IFC PCFM Handbook recommends in most circumstances, replacing a generation of older tools (Shoenfeld, Huso, Carcass) with a single open-source framework that produces comparable results across sites. Behind the number are five input files that have to be assembled and formatted exactly right for the model to run.

The IFC PCFM Handbook is direct about why GenEst displaced the older estimators:

GenEst is the easiest to use and most flexible fatality estimation modeling framework available and is considered to be the current state-of-the-art.

IFC PCFM Handbook, §5.1.4.1

What GenEst takes as input

GenEst needs five data files that together account for every source of bias in raw carcass counts:

FileWhat it represents
SESearcher Efficiency trial results
CPCarcass Persistence trial results
SSSearch Schedule (when each plot was actually searched)
COCarcass Observations (real carcasses found)
DWPDensity-Weighted Proportion per turbine

Each file has a specific column layout GenEst expects. The IFC PCFM Handbook is unambiguous that the entire fatality estimate stands or falls on these inputs:

“These sources of bias are why it is important to use field and analytical methods associated with bias correction to estimate detection probability accurately so that estimates of total, project-generated fatality rates are not biased.”

IFC PCFM Handbook, §5.1.2

In practice this is where most manual GenEst submissions fail: date format mismatches, renamed columns, missing turbines, inconsistent species codes, search dates reconstructed from memory at year-end. The model never sees the fieldwork directly. It sees five CSVs assembled by hand from scattered spreadsheets, photo folders, and email attachments, and the fatality number is only ever as defensible as those files.