Properties of the alluvial and marine terrace forests at Waitutu Forest, New Zealand.

File List list-references.txt wood-density-file.txt Description The list-references.txt file contains the list of literature sources consulted to produce the wood-density-file.txt wood density dataset. All valid species names were checked against the Missouri Botanical Garden's website (06/2004). In file list-references.txt, c olumn names are as follows. (1) CODE - conventional code for the literature source (2) LOCMEAS - country of study (or region, if applicable) (3) NBSPP - number of valid species in the dataset (4) REFERENCE - literature source for the dataset (several sources if applicable) In file wood-density-file.txt, column names are as follows. (1) FAMILY - family name for the species (according to the revised Angiosperm Phylogeny Group's classification) (2) GENUS - genus name (3) SPECIES - species name (4) WSG - mean wood species gravity for the species (5) NB - total number of literature values for the species (6) to (68) -- one column per literature source. Column name corresponds to the CODE entry in file list-references.txt (69) MEANELEV - mean elevation of the voucher speciemen for the species (70) SDELEV - standard deviation of the mean elevation (71) to (79) -- presence-absence variables for the nine ecoregions as described in the main text (see Fig. 1)

File List list-references.txt wood-density-file.txt Description The list-references.txt file contains the list of literature sources consulted to produce the wood-density-file.txt wood density dataset. All valid species names were checked against the Missouri Botanical Garden's website (06/2004). In file list-references.txt, c olumn names are as follows. (1) CODE - conventional code for the literature source (2) LOCMEAS - country of study (or region, if applicable) (3) NBSPP - number of valid species in the dataset (4) REFERENCE - literature source for the dataset (several sources if applicable) In file wood-density-file.txt, column names are as follows. (1) FAMILY - family name for the species (according to the revised Angiosperm Phylogeny Group's classification) (2) GENUS - genus name (3) SPECIES - species name (4) WSG - mean wood species gravity for the species (5) NB - total number of literature values for the species (6) to (68) -- one column per literature source. Column name corresponds to the CODE entry in file list-references.txt (69) MEANELEV - mean elevation of the voucher speciemen for the species (70) SDELEV - standard deviation of the mean elevation (71) to (79) -- presence-absence variables for the nine ecoregions as described in the main text (see Fig. 1)

The mean and standard deviation of wood specific gravity within families with over eight species.

The mean and standard deviation of wood specific gravity within families with over eight species.

The within-genus coefficients of variation for 76 genera represented by eight species or more.

The within-genus coefficients of variation for 76 genera represented by eight species or more.

File List alluvial_deer_rodents.xml (MD5: fec73f5cbe1cf1fbd587dc29cf9c42fd) alluvial_nodeer_rodents.xml (MD5: 0435338fc8998aca9b9322bfea345533) alluvial_deer_norodents.xml (MD5: d8bff34169c559dede221511169a3798) alluvial_nodeer_norodents.xml (MD5: d3b24db3871cf4ade0e94b6c3c25bb3b) marine_deer_rodents.xml (MD5: 8f5df79facd3ed25085b47afa33080de) marine_nodeer_rodents.xml (MD5: 56108f6e203abab9e508e0d635ae6fd6) marine_deer_norodents.xml (MD5: 6ce70e3af822e742c2a66331bf6997a7) marine_nodeer_norodents.xml (MD5: 08a7c7506efbc9ab8c8e70d7786742dd) Description The eight parameter files used in our simulations. The parameter files must be used with SORTIE-ND Version 6.11 or greater, which is available for download from http://www.sortie-nd.org/. The source code, programmer's guides, user guides, and documentation of all sub-models are all available online (http://www.sortie-nd.org/). Each of the four parameter files for the alluvial or marine terrace forest has the same tree map for the alluvial or marine terrace forest associated with it. You must have Java Runtime Environment installed.
Once SORTE is installed you need to go 'File - Open File' and browse to the parameter file you want to load. Once this is done you need to go 'Edit Parameters' and then check the 'All' box at the bottom, this will allow you to browse all of the parameters. If you want to run the simulation then you need to 'Edit - Output Options' and change both the summary and output file destinations (and possibly their names) to a local folder.

File List alluvial_deer_rodents.xml (MD5: fec73f5cbe1cf1fbd587dc29cf9c42fd) alluvial_nodeer_rodents.xml (MD5: 0435338fc8998aca9b9322bfea345533) alluvial_deer_norodents.xml (MD5: d8bff34169c559dede221511169a3798) alluvial_nodeer_norodents.xml (MD5: d3b24db3871cf4ade0e94b6c3c25bb3b) marine_deer_rodents.xml (MD5: 8f5df79facd3ed25085b47afa33080de) marine_nodeer_rodents.xml (MD5: 56108f6e203abab9e508e0d635ae6fd6) marine_deer_norodents.xml (MD5: 6ce70e3af822e742c2a66331bf6997a7) marine_nodeer_norodents.xml (MD5: 08a7c7506efbc9ab8c8e70d7786742dd) Description The eight parameter files used in our simulations. The parameter files must be used with SORTIE-ND Version 6.11 or greater, which is available for download from http://www.sortie-nd.org/. The source code, programmer's guides, user guides, and documentation of all sub-models are all available online (http://www.sortie-nd.org/). Each of the four parameter files for the alluvial or marine terrace forest has the same tree map for the alluvial or marine terrace forest associated with it. You must have Java Runtime Environment installed.
Once SORTE is installed you need to go 'File - Open File' and browse to the parameter file you want to load. Once this is done you need to go 'Edit Parameters' and then check the 'All' box at the bottom, this will allow you to browse all of the parameters. If you want to run the simulation then you need to 'Edit - Output Options' and change both the summary and output file destinations (and possibly their names) to a local folder.

Evaluation of model predictions.