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This interactive web application viewer shows locations where the BLM collects information about vegetation and soils to help us understand and monitor the health of terrestrial ecosystems such as sagebrush-steppe.
Types: Map Service;
Tags: AIM,
AIM_AK,
AIM_AZ,
AIM_CA,
AIM_CO, All tags...
AIM_ID,
AIM_MTDA,
AIM_NATL,
AIM_NM,
AIM_NV,
AIM_ORWA,
AIM_Policy,
AIM_Tool,
AIM_UT,
AIM_WY,
assessment,
background info,
biota,
conservation,
core indicators,
core methods,
ecology,
environment,
inventory,
management,
monitoring,
policy,
range,
sample design,
vegetation, Fewer tags
This web tool generates monitoring locations that are spatially balanced across a landscape. First, it will display your study area in the Plot tab. From there, you can request the number of spatially balanced points you wish to have created, by strata. Oversampled points can also be requested. After selecting 'generate points', the tool will create the points and display them for you, both in the plot, and in table format. Point coordinates in the table are in the same projection as your input dataset.
This tool enables calculation of monitoring sample sufficiency based on observed and desired minimum detectable difference (MDD or effect size) from a set of sample data. This tool can also be used to estimate sample sizes necessary to meet monitoring objectives from pilot data.
The Horwitz-Thompson Estimator tool can be used to produce indicator estimates from monitoring data. Estimates can be for 1) a study area without strata or 2) within a stratum. Sample points can be unweighted (most typical) or individually weighted (i.e., unequal probability sampling).
This feature class includes monitoring data collected nationally to understand the status, condition, and trend of resources on BLM lands. Data are collected in accordance with the BLM Assessment, Inventory, and Monitoring (AIM) Strategy. The AIM Strategy specifies a probabilistic sampling design, standard core indicators and methods, electronic data capture and management, and integration with remote sensing. Attributes include the BLM aquatic core indicators: pH, conductivity, temperature, pool depth, length, frequency, streambed particles sizes, bank stability and cover, floodplain connectivity, large woody debris, macroinvertebrate biological integrity, ocular estimates of vegetative type, cover, and structure...
Types: Downloadable;
Tags: AIM,
AIM_AK,
AIM_AZ,
AIM_CA,
AIM_CO, All tags...
AIM_ID,
AIM_MTDA,
AIM_NATL,
AIM_NM,
AIM_NV,
AIM_ORWA,
AIM_Policy,
AIM_Protocol,
AIM_Tool,
AIM_UT,
AIM_WY,
AquaDat,
BLM,
DOI,
Endangered,
Fish,
GRSG,
Geomorphology,
Geospatial,
Hydrology,
Landscape Monitoring Framework,
Macroinvertebrates,
Monitoring Methods,
National Resources Inventory,
Projects,
Science,
Utah State University,
Water quality,
Western Rivers and Streams Assessment,
Wildlife,
aquatic,
aquatics,
biota,
boundaries,
bug lab,
environment,
geoscientificInformation,
health,
inlandWaters,
lakes,
monitoring,
reach,
riparian,
rivers,
streams, Fewer tags
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