This page provides links to inputs and outputs from conservation prioritization
analyses published in Stralberg et al. 2020 (full citation below). Based on
recently developed indicators of climatic macrorefugia, environmental diversity,
and corridors, we used the Zonation software (Moilanen et al. 2007, Biological
Conservation 134:571-579) to conduct a systematic, climate-informed
prioritization of conservation values across North America. We explicitly
considered complementarity of multiple conservation objectives, capturing key
niche-based temperature and moisture thresholds for 324 tree species and 268
songbird species. Results from the full scenario with all objectives and
constraints included are shown in Figure 1 (Figure 3 in the paper). Results from eight component scenarios showing the influence of individual objectives are shown in Figure 2. Please see metadata document for additional information.
Figure 1. Zonation conservation rankings from 0 (lowest) to 1 (highest) for the full scenario (all factors combined), with current protected areas overlaid (transparent orange). Major lakes and urban areas were excluded from analysis. Biome boundaries are indicated in black. 1 = Mediterranean California; 2 = North American Deserts; 3 = Great Plains; 4 = Northwestern Forested Mountains; 5 = Marine West Coast Forest; 6 = Southern Semiarid Highlands; 7 = Temperate Sierras; 8 = Tundra; 9 = Taiga; 10 = Hudson Plain; 11 = Northern Forests; 12 = Eastern Temperate Forests; 13 = Tropical Wet Forests.
Please cite the data as:
Stralberg D., Carroll C., & Nielsen S.E. (2020) Toward a climate-informed North American protected areas network: Incorporating climate-change refugia and corridors in conservation planning. Conservation Letters. https://doi.org/10.1111/conl.12712.
Data Products
These data have been prepared as part of the AdaptWest project and their development was funded by the Wilburforce Foundation.
1. Zonation inputs and outputs (133 MB)*
2. Zonation outputs only (30 MB)
3. Metadata
4. Databasin layer of Zonation results (full scenario only, as shown in Fig. 1 above)
5. Databasin layer of Zonation results (all sceanarios, as shown in Fig. 2 below)
6. Databasin layer of Zonation input rasters*
*Note that these input rasters do not exactly match the maps shown in Figure 1 of the paper, which were re-scaled for mapping purposes. Inputs are based on the following previously-published climate exposure metrics, also available at adaptwest.databasin.org:
Climate-type macrorefugia (based on backward climate velocity)
Songbird and tree macrorefugia
1.
Figure 2. Zonation conservation rankings from 0 (lowest) to 1 (highest) for the full scenario (a) and scenarios omitting (b) climate-type macrorefugia, (c) songbird macrorefugia, (d) tree macrorefugia, (e) climate corridors, (f) environmental diversity, (g) biome-stratification, and (h) human development index (see Table 1 for more information). Major lakes and urban areas were excluded from analysis. Biome boundaries are indicated in black.
Table 1. Input files for each of the eight scenarios shown in Figure 2 (Figure S1 in the paper) are summarized here:
|
Settings file |
Species file |
Additional inputs |
a. full scenario |
settings_final_eco_squaredcostadj.dat |
birdstreescorridorsvelocitymicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
b. full scenario without climate-type macrorefugia |
settings_final_eco_squaredcostadj.dat |
birdstreescorridorsmicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
c. full scenario without songbird macrorefugia |
settings_final_eco_squaredcostadj.dat |
treescorridorsvelocitymicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
d. full scenario without tree macrorefugia |
settings_final_eco_squaredcostadj.dat |
birdscorridorsvelocitymicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
e. full scenario without climate corridors |
settings_final_eco_squaredcostadj.dat |
birdstreesvelocitymicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
f. full scenario without environmental diversity |
settings_final_eco_squaredcostadj.dat |
birdstreescorridorsvelocity.spp outputs |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif HFPsqr1.tif mask2.tif |
g. full scenario without biome stratification |
settings_final_squaredcostadj.dat |
birdstreescorridorsvelocitymicro.spp |
HFPsqr1.tif mask2.tif |
h. full scenario without human development cost |
settings_final_eco.dat |
birdstreescorridorsvelocitymicro.spp |
admu_descriptions.txt SpeciesWeightsADMU.txt ecoregions2.tif mask2.tif |