Marine Ecosystem Integrity - Blueprint 2.2
This data represents the Blueprint 2.2 ecosystem integrity scores for the marine ecosystem within the South Atlantic LCC geography. To read more about the indicators, please visit the indicator page
Input Data and Mapping Steps
Indicators (200 m resolution) were spatially modeled, tested, reviewed, and used as inputs to derive high integrity areas. Please see the Blueprint 2.2 data gallery for more information about indicator spatial data.
The integrity scores for this system are based on the marine indicators. These indicators served as inputs into Zonation, a conservation planning framework and software that produces a hierarchal prioritization of the landscape. Zonation employs an algorithm that proceeds by removing cells of lowest conservation value, minimizing marginal loss to produce a spatial prioritization at a fine scale.
Zonation Parameters and Inputs
-- Inputs: Marine indicators (marine mammals, marine birds, and potential hardbottom condition).
-- Removal rule = 1 (basic core-area Zonation): In basic core-area Zonation (commonly CAZ), cell removal is done in a manner that minimizes biological loss by picking the cell that has the smallest occurrence for the most valuable feature over all biodiversity features in the cell. In other words, the cell gets a high value if even one indicator has a relatively important occurrence there.
-- Warp factor = 10: The warp factor defines how many cells are removed at a time per iteration. A lower warp factor provides a finer solution, but requires a longer model run time. A higher warp factor reduces the time required to run a model, but results in a coarser solution. To improve speed and model performance, we chose a warp factor of 10.
-- Boundary length penalty = 0 (not used): Boundary length penalty (BLP) is a method to induce aggregation of high priority areas. Using a BLP, the hierarchy of cell removal is based upon the conservation value of the cell and the increase/decrease of boundary length that results from the removal of a cell.
-- Edge removal = 1: Determines whether the program removes cells from the edges of remaining landscape (value = 1) or anywhere from the landscape (value = 0). Note that setting this parameter to 0 will increase the running times with large landscapes.
-- Indicator weights = 0.1 for potential hardbottom condition, 1 for all other indicators. We began ecosystem runs with all indicators weighted equally. Due to the small extent of the potential hardbottom condition indicator, the Zonation results did not include any areas in the extent of the indicator in high priority (outside the top 10%) or below. This meant that even areas with the lowest indicator values and no overlap with other high indicator values would end up in the highest priority class. To resolve this, we reduced the indicator weight until some areas with lower indicator values were in the high priority (outside the top 10%). We tested weights of 0.75, 0.6, 0.5, 0.25, and 0.1. All other indicators were weighted equally in the final Zonation run.
We began ecosystem runs with all indicators weighted equally. Due to the small extent of the potential hardbottom condition indicator, the Zonation results included the full extent of the indicator in the top 10% of the prioritization. This meant that even areas with the lowest indicator values and no overlap with other high indicator values would end up in the highest priority class. To resolve this, we reduced the indicator weight until some areas with lower indicator values were in the medium priority (outside the top 25%). We tested weights of 0.75, 0.6, 0.5, 0.25, 0.1, 0.075, and 0.05. All other indicators were weighted equally in the final Zonation run.
For more information on the reasoning behind the Zonation settings used for each ecosystem, please refer to the Blueprint 2.2 metadata under lndicator Analysis.
Moilanen, A., L. Meller, J. Leppänen, F.M. Pouzols, H. Kujala, A. Arponen. 2014. Zonation Spatial Conservation Planning Framework and Software V4.0, User Manual.