Upland Hardwood: Ecosystem Score V 2.2

Summary

Upland Hardwood Ecosystem Integrity - Blueprint 2.2 This data represents the Blueprint 2.2 ecosystem integrity scores for the upland hardwood 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 upland hardwood indicators, freshwater aquatic indicators, landscapes indicators, and waterscapes indicators. These indicators served as inputs into Zonation, a conservation [...]

Summary

Upland Hardwood Ecosystem Integrity - Blueprint 2.2
This data represents the Blueprint 2.2 ecosystem integrity scores for the upland hardwood 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 upland hardwood indicators, freshwater aquatic indicators, landscapes indicators, and waterscapes 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: Upland hardwood indicators (upland hardwood birds and urban open space), freshwater aquatic indicators (imperiled aquatic species, permeable surface, and riparian buffers), landscapes indicators (low road density, low-urban historic landscapes, and resilient biodiversity hotspots), and waterscapes indicators (migratory fish connectivity and network complexity).

-- 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 = 0.5 for urban open space, 0.1 for low-urban historic landscapes, 1 for all other indicators. We began ecosystem runs with all indicators weighted equally. Due to the small extent of the low-urban historic landscapes indicator, the Zonation results did not include any areas in the extent of the indicator in medium priority (outside the top 25%) 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 high or 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.

Literature Cited
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.

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<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License.</a> The indicator data and maps provided are only intended for use as a reference tool for landscape-level conservation planning efforts.

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