Supplement 1. Calculations shown in Appendix C.

File List
Hobbs_Hilborn_supplement1.txt
-- Contains
data collected at Isle Royal National Park (Michigan, USA) during the winter
(January and February) from 1971–2001 and prey dependent model predictions
and calculations.

Hobbs_Hilborn_supplement2.txt
-- Contains
data collected at Isle Royal National Park (Michigan, USA) during the winter
(January and February) from 1971–2001 and ratio dependent model predictions
and calculations.

Hobbs_Hilborn_supplement3.txt
-- Contains
data collected at Isle Royal National Park (Michigan, USA) during the winter
(January and February)  from 1971–2001 and predator dependent model predictions
and calculations.

Hobbs_Hilborn_supplement4.txt
-- Contains estimates of model
selection statistics for the prey dependent, ratio dependent, and predator
dependent models.

Hobbs_Hilborn_supplement.xls
-- A spreadsheet showing details of the computation. The data files listed
above can be downloaded into a spreadsheet of your choice.

Description
Hobbs_Hilborn_supplement1.txt
contains data collected at Isle Royal National Park (Michigan, USA) during
the winter (January and February) from 1971–2001 and prey dependent model
predictions and calculations.

The file is tab delimited and
contains 8 columns and 94 rows.  The columns correspond to the variables
listed below, and each row corresponds to a yearly observation, prey dependent
model prediction, or calculation.

Hobbs_Hilborn_supplement1

-- TABLE: Please see in attached file. --
To make sure the file was downloaded
properly, compare the column sums to the following figures:

-- TABLE: Please see in attached file. --
There are also calculations based
on the data that are indexed in a column to their left (2 columns, 7 rows). 
These indices and the calculations they index are:

-- TABLE: Please see in attached file. --

Hobbs_Hilborn_supplement2.txt
contains data collected at IsleRoyalNational Park (Michigan, USA) during the
winter (January and February) from 1971–2001 and ratio dependent model
predictions and calculations.

The file is tab delimited and
contains 9 columns and 94 rows.  The columns correspond to the variables
listed below, and each row corresponds to a yearly observation, ratio dependent
model prediction, or calculation.

Hobbs_Hilborn_supplement2

-- TABLE: Please see in attached file. --
To make sure the file was downloaded
properly, compare the column sums to the following figures:

-- TABLE: Please see in attached file. --
There are also calculations based
on the data that are indexed in a column to their left (2 columns, 7 rows). 
These indices and the calculations they index are:

-- TABLE: Please see in attached file. --

Hobbs_Hilborn_supplement3.txt
contains data collected at IsleRoyalNational Park (Michigan, USA) during the
winter (January and February)  from 1971–2001 and predator dependent
model predictions or calculations.

The file is tab delimited and
contains 10 columns and 94 rows.  The columns correspond to the variables
listed below, and each row corresponds to a yearly observation, predator dependent
model prediction, or calculation.

Hobbs_Hilborn_supplement3

-- TABLE: Please see in attached file. --
To make sure the file was downloaded
properly, compare the column sums to the following figures:

-- TABLE: Please see in attached file. --
There are also calculations based
on the data that are indexed in a column to their left (2 columns, 7 rows. 
These indices and the calculations they index are:

-- TABLE: Please see in attached file. --

Hobbs_Hilborn_supplement4.txt
contains estimates of model selection statistics for the prey dependent, ratio
dependent, and predator dependent models.

The file is tab delimited and
contains 5 columns and 4 rows.  The columns correspond to the variables
listed below, and each row corresponds to a model type.

Hobbs_Hilborn_supplement4

-- TABLE: Please see in attached file. --
To make sure the file was downloaded
properly, compare the column sums to the following figures:

-- TABLE: Please see in attached file. --

Instructions

To reproduce the results presented
in the paper, see the descriptions of the indexed calculations shown above.
 To obtain the parameter estimates, use a nonlinear optimization routine to
find the values of model parameters that maximize the sum of the log likelihoods.