Data from: The value of learning about natural history in biodiversity markets

Bruggeman DJ

Date Published: December 22, 2015

DOI: http://dx.doi.org/10.5061/dryad.hv8kk

 

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Title Input Data for banking scenarios
Downloaded 8 times
Description File folders are named in agreement with Table 1 abbreviations for landscape treatments. "lcsimgrid.csv" is the underlying landscape map. "ter(year).csv" reports the y, x coordinates for RCW territory centers assuming the origin in the upper left corner. "(year)mitiXY.csv" reports the cells that are restored to high habitat quality to create a bank. "(year)takeXY.csv" reports the cells to be changed to non-forested to simulate a take. "takeTers.csv" reports the territory centers for those territories lost due to a take.
Download LEA_Input.tar (96.51 Mb)
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Title Results from trading scenarios
Downloaded 11 times
Description File nomenclature: (service)_(model)_(landscape treatment).csv. Service = PBG, Hs, or Dst. Model = 0-5, for the 6 dispersal models. Landscape treatment = corresponds to table 1, plus Pre-Settlement for genetic services and Recovery for PBGs. Within the file, column 1 = year (starting at 0), column 2 = landscape state (status quo [baseline], bank, take). Remaining columns are all individual results from each MC iteration.
Download LEA_Results.tar (469.1 Mb)
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When using this data, please cite the original publication:

Bruggeman DJ (2015) The value of learning about natural history in biodiversity markets. PLoS ONE 10(12): e0144047. http://dx.doi.org/10.1371/journal.pone.0144047

Additionally, please cite the Dryad data package:

Bruggeman DJ (2015) Data from: The value of learning about natural history in biodiversity markets. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.hv8kk
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