The Effect of Groundwater Table Variation on Characterization and Classification of Gypsiferous Soils in the Tularosa Basin, New Mexico

Soil Horizons ◽  
1994 ◽  
Vol 35 (4) ◽  
pp. 102
Author(s):  
M.H. Nash ◽  
L.A Daugherty ◽  
B.A. Buchanan ◽  
B.W. Hunyadi
1975 ◽  
Vol 19 (4) ◽  
pp. 365 ◽  
Author(s):  
Robert Rush Miller ◽  
Anthony A. Echelle

Geomorphology ◽  
2019 ◽  
Vol 331 ◽  
pp. 92-106 ◽  
Author(s):  
Vance T. Holliday ◽  
Allison Harvey ◽  
Matthew T. Cuba ◽  
Aimee M. Weber
Keyword(s):  

1997 ◽  
Vol 19 (4) ◽  
pp. 2-4
Author(s):  
Elaine Struthers

I began my day at 5:00 a.m., traveling sixty miles across the desert floor of the Tularosa basin in Southern New Mexico to my job as Director of Behavioral Sciences at the world's largest captive chimpanzee facility. At any given time, we house approximately 525 chimpanzees and 500 macaque monkeys. My arrival on site was heralded by the squall of macaque monkeys from their corn crib enclosures, which dotted the eastern flank of the facility like beach cabanas and lent a note of texture to an otherwise barren landscape. Although it was just like any other work day each week, this in itself, was enough to caution me from saying that it was an ordinary day.


2011 ◽  
Vol 2 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Daniel P. Dugas ◽  
Michael N. DeMers ◽  
Janet C. Greenlee ◽  
Walter G. Whitford ◽  
Anna Klimaszewski-Patterson

Management of desert grasslands requires rapid, low technology, coarse assessment methods that provide a triage-like prioritization for the manager. Such approaches necessitate the ability to quickly and effectively identify coarse-scale plant communities that provide guidance for this prioritization. Complex, computer intensive digital image classification of Landsat TM data, while marginally successful, requires time, equipment, and expertise not always available in such environments. This study identifies landform boundaries in the Armendaris Ranch, New Mexico by visual inspection of Landsat-7 Enhanced Thematic Mapper imagery and topographic maps using traditional photoreconnaissance techniques. Employing predetermined hierarchical landform classifications, it was possible to map plant communities using ecological relationships that exist between the general physiographic and vegetation settings in the area and representative geomorphic landform-mapping units. The authors’ field work verified the plant community map using a random walk approach and visual inspection. This synthetic expert opinion-based approach proved successful and is repeatable in other arid rangeland settings.


PaleoAmerica ◽  
2016 ◽  
Vol 2 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Daniel S. Amick ◽  
Dennis J. Stanford
Keyword(s):  

2012 ◽  
Vol 518-523 ◽  
pp. 4097-4103
Author(s):  
Hwa Sheng Gau ◽  
Chung Yi Chung ◽  
Shao Wei Liao ◽  
Wen Liang Lai

This study is using Factor Analysis method to analyze the hydrographs of groundwater table for classification of recharge zone. The water table data are taken from 37 wells which located on unconfined aquifer in Pingtung plain. The result shows that 93% of total variance can be explained by three components. The 1th component is related to rainfall; the 2th and 3th are related to recharge from TungKang Basin and Kaoping basin, respectively.


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