December 2012 Number 1 - Utah Native Plant Society
December 2012 Number 1 - Utah Native Plant Society
December 2012 Number 1 - Utah Native Plant Society
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Calochortiana <strong>December</strong> <strong>2012</strong> <strong>Number</strong> 1<br />
plots. The plot data shows a cactus with drought problems,<br />
but in some areas is doing well also.<br />
Clark County (Nevada) Rare <strong>Plant</strong> Modeling and<br />
Inventory<br />
Sonja R. Kokos, Clark County Desert Conservation Program,<br />
Las Vegas, NV; David W. Brickey and Larry R.<br />
Tinney, TerraSpectra Geomatics, Las Vegas, NV; and<br />
Analie R. Barnett and Robert D. Sutter, The Nature<br />
Conservancy, Southeastern Region, Durham, NC<br />
Abstract: To understand the distribution of rare plants<br />
covered under the Clark County Multiple Species Habitat<br />
Conservation Plan, Clark County and Terra-Spectra<br />
Geomatics developed two predictive GIS models. The<br />
models used ASTER Imagery and Landsat ETM+ Imagery,<br />
soils data (NRCS SSURGO), geologic data, and<br />
presence/absence data for eight rare and endemic plant<br />
species. The first model was used to predict the distribution<br />
of three gypsum loving species, the Las Vegas<br />
bearpoppy (Arctomecon californica), Sticky ringstem<br />
(Anulocaulis leiosolenus var. leiosolenus), and Las<br />
Vegas buckwheat (Eriogonum corymbosum var. nilesii).<br />
The second model was used to predict the distribution of<br />
five sand or potentially sand loving species, the Threecorner<br />
milkvetch (Astragalus geyeri var. triquetrus),<br />
Pahrump Valley buckwheat (Eriogonom bifurcatum),<br />
Sticky buckwheat (Eriogonum viscidulum), Beaver Dam<br />
breadroot (Pediomelum castoreum), and Whitemargined<br />
beardtongue (Penstemon albomarginatus).<br />
Using these models, Clark County can now describe the<br />
occurrence of all eight species in terms of high, medium<br />
and low probabilities. During the 2009 and 2010 field<br />
seasons, the county will test both models using a sampling<br />
protocol developed jointly by Clark County and<br />
The Nature Conservancy. Intuitively, we expect these<br />
models to predict the distribution of some species better<br />
than others, and further model refinement will be<br />
needed. However, the results to date have produced<br />
some interesting hypotheses regarding the life history<br />
and biology of these species. We expect the results will<br />
be valuable to Clark County and the federal land management<br />
agencies charged with managing these species.<br />
Post-Fire Monitoring of Erosion Resistance and Dust<br />
Emission on the Milford Flat Fire, West-Central<br />
<strong>Utah</strong><br />
Mark E. Miller, National Park Service, Moab, UT<br />
(formerly U.S. Geological Survey, Southwest Biological<br />
Science Center, Kanab, UT)<br />
Abstract: Soil stabilization is a major objective of postfire<br />
emergency stabilization and rehabilitation (ES&R)<br />
projects, yet monitoring data are rarely sufficient to determine<br />
whether treatments effectively achieve this objective.<br />
To address this information need, the U.S. Geological<br />
Survey and Bureau of Land Management are<br />
collaboratively monitoring effects of ES&R treatments<br />
on soil-surface stability and rates of dust emission in<br />
low-elevation portions of the 147,000-ha Milford Flat<br />
Fire that occurred in west-central <strong>Utah</strong> in July 2007. In<br />
August 2008, monitoring plots were established to<br />
evaluate the effectiveness of three types of ES&R treatments<br />
(aerial seeding and chaining, seeding with a<br />
rangeland drill, and seeding with a rangeland drill after<br />
herbicide application) in areas where field observations<br />
and satellite imagery indicated high rates of dust emission<br />
during spring 2008. Monitoring attributes include<br />
indicators of erosion resistance (soil stability, ground<br />
cover, and sizes of gaps between plant canopies) in addition<br />
to measures of plant cover and community composition.<br />
Seasonal rates of dust emission are currently<br />
monitored with BSNE dust samplers. Sampling in August<br />
2008 indicated that average soil-surface stability<br />
was highest in unburned control plots and in burned<br />
plots that were not treated. Average soil stability was<br />
lowest in burned plots that were seeded with a rangeland<br />
drill following herbicide application. During the August-October<br />
2008 period, rates of wind-driven soil<br />
movement varied over three orders of magnitude and<br />
were greatest in plots that received ESR treatments,<br />
were in exposed landscape settings, and had soils that<br />
were most susceptible to wind erosion.<br />
Using GIS and Remote Sensing to Predict Dominant<br />
<strong>Plant</strong> Species Distributions in Rich County, <strong>Utah</strong><br />
Kate Peterson, Doug Ramsey, Leila Shultz, John Lowry,<br />
Alexander Hernandez, and Lisa Langs-Stoner, Remote<br />
Sensing/GIS Laboratory and Floristics Lab, Dept. of<br />
Wildland Resources, <strong>Utah</strong> State University, Logan, UT<br />
Abstract: This research shows models of the potential<br />
spatial distribution of key upland plant species in Rich<br />
County, <strong>Utah</strong>. We used geospatial data layers of abiotic<br />
factors and remotely sensed (RS) imagery in conjunction<br />
with field-collected vegetation data. <strong>Plant</strong> species<br />
distribution maps are used to objectively and costeffectively<br />
correlate soil maps units with GIS data in the<br />
production of Ecological Site Descriptions (ESD’s).<br />
These were produced for Rich County in accordance<br />
with NRCS (Natural Resources Conservation Service)<br />
standards. Inasmuch as abiotic factors and vegetation<br />
associations can be used to predict the potential distribution<br />
of rare plants, we believe these analyses can be<br />
used to guide field searches for populations of endemic<br />
species.<br />
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