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Go to our searchable database which contains over 2,000 publications through the history of research within the Jornada Basin. If a pdf copy is not available within a citation, please email bgamboa@nmsu.edu with your request.
 
FAIR USE NOTICE: Our research program has a nearly 100 year history of publishing research findings from our scientific experiments in rangeland environments in the southwestern US and around the world. In an effort to advance and communicate an understanding of the environments within which we live, especially rangeland environments that comprise over 1/3rd of the World’s land surface, we are making available copyrighted material on this site. The use of some of these materials has not been specifically authorized by the copyright owner. Much of this material has been written based on research findings obtained wholly or in part by support provided by federal funding. We believe our use and presentation of these materials on this site constitutes a “Fair Use” of such material as provided for in Section 107 of the US Copyright Law. The material on this site is distributed by a federal entity without financial gain in its distribution for educational use by the public. If you will use copyrighted material from this site for purposes that exceed “Fair Use”, it is recommend you obtain specific permission from the copyright owner.

 

Select Below for Individual Researchers' Publications Lists Primary Research Interest
Dean M. Anderson, Research Animal Scientist The focus of Dr. Anderson’s 30+ year research career has been to use animal behavior to accomplish ecologically valid goals within a practical and flexible framework of management.  This has involved melding innate animal behaviors with state-of-art electronics to accomplish management goals.  Research includes autonomously obtaining cow liveweights using electronic animal identification coupled with the animal’s need to drink water, monitoring  botanical composition of pre- and post-digested plant samples using fluorometry to provide the nutritional basis for controlling where and when animals are on a particular landscape by using directional virtual fencing (DVF™).  Expanding the possibilities of mixed species stocking by incorporating DVF™ with the development of flerds to minimizes the negative impact canine predation has on small ruminants when large and small ruminants are stocked together
Jerry R. Barrow, Research Plant Geneticist Symbiotic microbes that regulate plant performance under stress
Brandon T. Bestelmeyer, Ecologist

Landscape and community ecology; coupled vegetation and soil dynamics in arid systems; biodiversity responses to ecosystem change, applications of landscape ecology principles to rangeland management

Joel R. Brown, NRCS, Range Scientist Rangeland ecology, application of state and transition models to rangelands, rangeland soil carbon dynamics, shrub invasion, grazing systems, effects of climate change on rangelands, adoption of management practices on rangelands
Mike Duniway, Post-Doctoral Research Associate Soil physical properties and the interaction of soil properties and plant community patterns and dynamics in arid ecosystems
Rick E. Estell, Research Animal Scientist Role of plant secondary chemistry in plant-animal interactions
Ed L. Fredrickson, Rangeland Scientist

 

Kris M. Havstad, Supervisory Range Scientist Rangeland ecology and management
Jeffrey E. Herrick, Soil Scientist Soil-vegetation interactions at plant to landscape scales and their relationship to resistance and resilience; development of assessment and monitoring tools that reflect ecosystem processes; ecological restoration
Andrea Laliberte, Post-Doctoral Research Associate, Remote Sensing Specialist Remote sensing, Geographic Information Systems, geospatial analysis, use of unmanned aerial vehicles for rangeland monitoring, object-oriented image classification, high-resolution imagery, scaling issues, spatial heterogeneity, landscape change analysis, landscape ecology, rangeland ecology/management/modeling, human impacts on ecological pattern and process
Mary Lucero, Research Molecular Biologist

Exploration of plant-microbe interactions that influence population dynamics at larger hierarchies of plant-soil, plant-plant and plant-herbivore interactions.  My laboratory works to isolate and identify endophytic fungi associated with desert flora, particularly from the botanical family Chenopodiacea.  We use combinations of microscopy and molecular detection (PCR and denaturing gradient gel electrophoresis (DGGE)) to identify and monitor endophytic microbes.  Endophyte influences on plant ecological fitness are tested by transferring endophytes to non-host plants, including the locally threatened black grama grass.  Endophyte-induced changes in plant establishment, production, secondary chemistry, and reproductive potential are monitored across biotic and abiotic stress gradients, and positive plant-endophyte combinations are selected for revegetation potential.

Debra C. Peters, Landscape Ecologist

Global change effects on ecosystem dynamics across spatial scales; boundary and ecotone dynamics; spatially-explicit simulation modeling; nonlinear spatial and temporal dynamics; cross scale interactions

Raul Peinetti, Post-Doctoral Research Associate Landscape-scale plant animal interactions; linking ecological information at landscape scales through ecological simulation models to guide management decisions
Albert R. Rango, Research Hydrologist Global change effects on snowmelt water supply in the Western U.S.; remote sensing detection of vegetation change; detection and assessment of rangeland remediation treatments using historical aerial photography; UAV application in arid ecosystems
Caiti Steele, Post-Doctoral Research Associate
Sandy Tartowski, Rangeland Management Specialist Ecological restoration
Arlene Tugel, NRCS Dynamic soil properties, soil survey, human impacts on soil, soil change, soil quality, soil functions, ecological sites
Skye Wills, Post-Doctoral Research Associate, Soil Scientist The use of geospatial techniques to understand and predict the relationships between land use, landscape features, and soil properties. 

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