23.10.2014 Views

December 2012 Number 1 - Utah Native Plant Society

December 2012 Number 1 - Utah Native Plant Society

December 2012 Number 1 - Utah Native Plant Society

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

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 />

11

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!