Harrat Hutaymah is an alkali basalt volcanic field in north-central Saudi Arabia, at the eastern margin of a large Neogene continental, intraplate magmatic province. Lava flow, tephra and spatter cone compositions in the field include alkali olivine basalts and basanites. These compositions contrast with the predominantly tholeiitic, fissure-fed basalts found...
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Magnification
Incremental
Heating
38Ar(cl)
[fA]
K/Ca ± 2σ
± 2σK/CaInformationon Analysis
M
S
W
D
Results
Harrat Hutaymah is an alkali basalt volcanic field in north-central Saudi Arabia, at the eastern margin of a large Neogene continental, intraplate magmatic province. Lava flow, tephra and spatter cone compositions in the field include alkali olivine basalts and basanites. These compositions contrast with the predominantly tholeiitic, fissure-fed basalts found...
Harrat Hutaymah is an alkali basalt volcanic field in north-central Saudi Arabia, at the eastern margin of a large Neogene continental, intraplate magmatic province. Lava flow, tephra and spatter cone compositions in the field include alkali olivine basalts and basanites. These compositions contrast with the predominantly tholeiitic, fissure-fed basalts found...
Full Text:
,
western Saudi Arabia
Robert A. Duncan a,b,⁎, Adam J.R. Kent a, Carl R. Thornber c, TylerD. Schlieder a
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Full Text:
squares
c Median of growing-season integrated NDVI values from 2001 through 2011
d Demographic weighted
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Full Text:
Tyler G. Creech a, *, Clinton W. Epps a, Ryan J. Monello b, 1, John D. Wehausen c
a Department of
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Full Text:
squares
c Median of growing-season integrated NDVI values from 2001 through 2011
d Demographic weighted
Diet quality influences ungulate population dynamics but is difficult to measure at fine temporal or spatial resolution using field-intensive methods such as fecal nitrogen (FN). Increasingly, the remotely sensed vegetation index NDVI is used to represent potential ungulate diet quality, but NDVI's relationship with diet quality has yet to be...
Full Text:
Tyler G. Creech a, *, Clinton W. Epps a, Ryan J. Monello b, 1, John D. Wehausen c
a Department of
Connectivity models using empirically-derived
landscape resistance maps can predict potential
linkages among fragmented animal and plant populations.
However, such models have rarely been used to
guide systematic decision-making, such as identifying
the most important habitat patches and dispersal corridors
to protect or restore in order to maximize regional
connectivity. Combining...
Full Text:
Tyler G. Creech • Clinton W. Epps •
Ryan J. Monello • John D. Wehausen
Received: 6 June 2013
Connectivity models using empirically-derived
landscape resistance maps can predict potential
linkages among fragmented animal and plant populations.
However, such models have rarely been used to
guide systematic decision-making, such as identifying
the most important habitat patches and dispersal corridors
to protect or restore in order to maximize regional
connectivity. Combining...
Full Text:
cost value of 1; cells of
≤15% slope were assigned cost value of 10. 30
d. We added barrier