Description
Summary Statistics
Water Balance
Charts
Temperature
Precipitation
Precip and Actual EvaporationThe climate of the northern Chihuahuan desert is characterized by high amounts of solar radiation, wide diurnal ranges of temperature, low relative humidity, extremely variable precipitation, and high potential rates of evaporation. The average maximum temperature of 36 C is usually recorded in June; during January the average maximum temperature is l3 C. Precipitation averages 23 cm annually, with 52% typically occurring in brief, local, but intense, convective thundershowers during July to September. Winter precipitation during synoptic weather patterns that derive from the Pacific Ocean is more variable than summer precipitation, but it is more effective in wetting the soil profile.
Water BalanceExtremes of moisture conditions affect the flora. The general dryness of the climate causes the xerophytic vegetation to adopt numerous strategies for water conservation. These strategies include long root systems, and waxy, impermeable skin surfaces. The existence of a caliche layer in the soil acts as a barrier to moisture loss, giving rise to long term moisture availability to plants during dry seasons (Conley and Conley, 1984). Water conservation methods by the flora are important in light of the five severe droughts that have occurred at the site in the last 100 years (Van Cleveand Martin, 1991). At the other extreme, occasionally a series of convectional storms can leave surface water in the playa. When this happens a number of species, not normally active, can take advantage of the moisture conditions and flourish for a short time. The high diurnal temperature range and the high radiation loads during the day cause many of the fauna to be nocturnal in their feeding habits.
Topographic position, soil development, and human impact interact to determine vegetation dynamics in the northern Chihuahuan desert, where dramatic changes in vegetation have been observed during the last 100 years (Buffington and Herbel 1965). Large areas of former black grama grassland have been replaced by shrubland communities dominated by creosotebush, mesquite and tarbush. This has led to changes in soil resources which have important consequences for ecosystem function , linking the ecosystem processes in deserts to changes in the global environment (Schlesinger et al.1990). Similar changes in vegetation and soils have occurred over large areas of the Chihuahuan desert and in other areas of the world, where semiarid grasslands have been replaced by shrubland vegetation. It is unclear how over-grazing, climatic change, fire suppression, or rising concentrations of atmospheric CO2 have acted solely or in concert to lead to these changes in vegetation. Although the shrubland communities show lower species diversity than the original grasslands, studies at the Jornada LTER show little change in the absolute level of net primary production as a result of these changes in vegetation.
Literature CitedConley, M.R. and Conley, W.C. 1984. New Mexico State University CollegeRanch and Jornada Experimental Range: A summary of Re search, 1900 - 1983.Dept. of Fishery and Wildlife Sciences. New Mexico State University. LasCruces. N M. 83 pp.
Gile, L.H., J.W. Hawley, and R.B. Grossman. l98l. Soils and geomorphologyin the Basin and Range area of southern New Mexico--Guidebook to the DesertProject. Memoir 36, N.M. Bureau of Mines and Mineral Resources, Socorro.
MacMahon, J.A. and F.H. Wagner. l985. The Mojave, Sonoran and Chihuahuandeserts of North America. pp. l05-202. In M. Evenari et al., (eds.). HotDeserts and Arid Shrublands. Elsevier Scientific Publishers, Amsterdam.
Schlesinger, W.H., J.F. Reynolds, C.L. Cunningham, L.F. Huenneke, W.M.Jarrell, R.A. Virginia and W.G. Whitford. l990. Biological feedbacks inglobal desertification. Science 247: l043-l048.
Van Cleve, K. and Martin, S. 1991. Long Term Ecological Research in theUnited States: A Network of Research Sites. LTER Network, University ofWashington, College of Forest Resources, AR-10, Seattle, WA 98195. 178 pp.
SUMMARY STATISTICS JORNADA 1961-1990
WETTEST DRIEST
YEAR YEAR
MMEAN MMAX MMIN PPT (1985) (1964)
JAN 6.0 16.4 -4.5 9 0 11
FEB 9.4 20.4 -1.6 6 8 0
MAR 13.8 25.1 2.6 4 0 2
APR 18.4 29.7 7.0 9 27 0
MAY 23.3 34.5 12.2 18 70 5
JUN 26.0 35.4 16.6 49 83 15
JUL 24.5 33.5 15.5 60 167 42
AUG 20.9 30.3 11.6 38 8 38
SEP 14.8 25.5 4.2 24 47 19
OCT 8.3 19.0 -2.4 15 24 9
NOV 3.8 13.7 -6.1 21 61 0
DEC 3.5 13.7 -6.8 13 38 0
ANNUAL 14.4 24.8 4.0 264 532 140
STDEV 0.56 0.59 1.16
STDEV
Mean Temp Warmest Month 26.0 1.08
Mean Max Temp Warmest Month 35.4 1.38
Mean Temp Coldest Month 3.5 1.47
Mean Min Temp Coldest Month -6.8 2.30
Annual Range of Monthly Mean Temps 22.5
No Months with Temp >0 12
No Months with Temp >15 5
Total Precip in Months with Temp >0 264
YEAR
Highest Monthly Mean Temp 27.9 Jun-67
Overall Maximum 38.2 Jun-81
Lowest Monthly Mean Temp -0.1 Dec-63
Overall Minimum -13.2 Dec-63
Water budget for: Latitude 32.5 Longitude 106.8 Field capacity 150.0 mm Resistance curve c MON TEMP UPE APE PREC DIFF ST DST AE DEF SURP SMT SST JAN 6 14 12 9 -3 23 0 10 2 0 0 0 FEB 9.4 27 23 6 -17 20 -2 9 15 0 0 0 MAR 13.8 49 50 4 -46 15 -5 10 41 0 0 0 APR 18.4 77 83 9 -74 9 -6 14 68 0 0 0 MAY 23.3 110 131 18 -113 4 -5 22 109 0 0 0 JUN 26 130 155 49 -106 2 -2 51 104 0 0 0 JUL 24.5 119 144 60 -85 1 -1 60 84 0 0 0 AUG 20.9 93 107 38 -68 1 0 39 68 0 0 0 SEP 14.8 55 56 24 -32 1 0 24 32 0 0 0 OCT 8.3 22 22 15 -7 1 0 15 7 0 0 0 NOV 3.8 7 6 21 15 16 15 6 0 0 0 0 DEC 3.5 6 5 13 8 23 8 5 0 0 0 0 Yearly Totals: 794 264 264 530 0Explanation for water balance columns (all units are millimeters depth of water unless otherwise specified).
MON Month of the year TEMP Mean monthly air temperature in degrees Celsius UPE Unadjusted potential evapotranspiration APE Adjusted potential evapotranspiration PREC Precipitation DIFF PREC minus APE ST Soil moisture storage DST Change in storage from preceding month AE Actual evapotranspirationDEF Soil moisture deficit SURP Soil moisture surplus SMT Snowmelt SST Water equivalent held in snowpack
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| Figure 9.1 | Figure 9.2 | Figure 9.3 |