Skip to main content

Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim

Dates

Publication Date
Time Period
2018

Citation

O'Donnell, M., Edmunds, D.R., Aldridge, C., Heinrichs, J.A., Coates, P.S., Prochazka, B.G., and Hanser, S., 2019, Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Nevada and Wyoming, Interim: U.S. Geological Survey data release, https://doi.org/10.5066/P9J0B7JR.

Summary

wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different population growth [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

Shapefile: wy_lvl2_finescale.zip
wy_lvl2_finescale.cpg 5 Bytes
wy_lvl2_finescale.dbf 4.71 KB
wy_lvl2_finescale.prj 432 Bytes
wy_lvl2_finescale.sbn 1.26 KB
wy_lvl2_finescale.sbx 228 Bytes
wy_lvl2_finescale.shp 217.79 KB
wy_lvl2_finescale.shx 1.02 KB

Purpose

Considering range-wide declines in sage-grouse populations and regional variability of population sizes, targeted management actions are needed at spatial scales that align with factors causing population change. There is a need to better understand mechanisms driving population changes, allowing for targeted management actions to help conserve populations. Yet, to our knowledge, repeatable multi-scaled and biologically-informed methods to support population monitoring of sage-grouse has yet to be developed. We developed a biologically-informed approach to clustering habitat and population units to improve opportunities for multi-scale monitoring and evaluation of broadly distributed populations using a spatially balanced framework. In doing so, we aimed to (1) use a statistical and repeatable approach, (2) include biologically relevant landscape and habitat characteristics, and we desired a framework that (3) is spatially hierarchical, (4) discretizes the landscape while capturing connectivity (habitat and movements), and (5) supports management questions at different spatial scales. Several intended uses of these sampling units include the following: 1. The sampling units can inform a spatially balanced monitoring framework (for example, Generalized Random Tessellation Stratified sampling framework). 2. The sampling units can inform groupings of population counts, which in turn can be used to evaluate population growth rates. 3. The sampling units can inform the examination of relationships between the groupings of quantified landscape changes and population changes. 4. The sampling units can inform the partitioning of the landscape for developing seasonal habitat model development.

Additional Information

Shapefile Extension

boundingBox
minY40.48772601282368
minX-111.88676086216479
maxY45.41715627106763
maxX-103.61815745200633
files
namewy_lvl2_finescale.cpg
contentTypetext/plain
pathOnDisk__disk__c9/e3/31/c9e331a2b2c3fe0c84e49f75a6905a3d33e49b87
size5
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.dbf
contentTypetext/plain
pathOnDisk__disk__c0/68/cd/c068cd43a0d850a4c114af3fe63dc07aa849888a
size4818
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.prj
contentTypetext/plain
pathOnDisk__disk__91/ad/fc/91adfc01c8ee84b6895b4c1fda6e55448ea5fe86
size432
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.sbn
contentTypex-gis/x-shapefile
pathOnDisk__disk__33/62/f0/3362f00a268e1df48296aaf74f928ea86a481a0f
size1292
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.sbx
contentTypex-gis/x-shapefile
pathOnDisk__disk__7f/d1/9a/7fd19ae4fed4b1ee9c1ef4444aba6eb547626644
size228
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.shp
contentTypex-gis/x-shapefile
pathOnDisk__disk__70/6c/7a/706c7a404e653036182e96ede38602e7bb3085be
size223012
dateUploadedThu Mar 07 11:48:24 MST 2019
namewy_lvl2_finescale.shp.xml
contentTypeapplication/fgdc+xml
pathOnDisk__disk__2c/8b/f1/2c8bf1be4877a09bf7123614003f539b1766b0bb
dateUploadedThu Aug 20 05:59:51 MDT 2020
originalMetadatatrue
namewy_lvl2_finescale.shx
contentTypex-gis/x-shapefile
pathOnDisk__disk__91/cc/e4/91cce4c4e0e2db42091a26cde26ac76a3cd658ad
size1044
dateUploadedThu Mar 07 11:48:24 MST 2019
geometryTypeMultiPolygon
namewy_lvl2_finescale

Item Actions

View Item as ...

Save Item as ...

View Item...