Data collected within GCNRA on desert sand (sand sage) ecosites:
Spence data: 10 plots with detailed veg surveys, not so detailed crust/ground cover surveys, canopy gap, and Herrick slake test.
Data that is likely useful:
1) Bowker, MB, Belnap, J., Miller, ME. 2006. Spatial Modeling of biological soil crusts to support rangeland assessment and monitoring. Rangeland Ecology and management 59: 519-529.
and Bowker, MB, Miller, ME, Belnap, J., Sisk, TD, Johnson, NC. 2008. Prioritizing conservation effort through the use of biological soil crusts as ecosystem function indicators in an arid region. Conservation Biology 22:
I almost certainly have detailed crust surveys on the semi-desert sand ecosite in sites I interpreted to be in a reference or potential state (not annualized, not blown out), these data also contain modeled soil stability estimates, magnetic enrichment relative to local bedrock, and various soil physico-chemical properties.
She has surface and subsurface soil stability, lots of mycorrhizae data Bala sampled sand-sage dominated eolian sandy ecosystems near Big Water GSENM, on a three step degradation gradient. These might be desert sand, or if not they are likely semidesert sand., and crust cover data.
3) Grand Canyon Trust baseline range assessment dataset.
Has detailed veg community, surface and subsurface stability on numerous sites on the Paria Plateau. NRCS Arizona calls these Sandy Uplands, but they seem to be the same ecosystem to me except just a little wetter. This surely captures all kinds of states.
4) GSENM rangeland assessment. Certainly has plots on Semi-desert sand, probably on desert sand. RLH survey, crust cover. Again, this probably captures multiple states.
Data that might have some limited value
This study was sampled by me in Utah. One or two sites might fit the bill, especially one near Big Water. We conducted Tongway's landscape function analysis, a vegetation percent cover survey, and conducted soil biological assays such as respiration and enzyme activities. The main thing this contributes is some of the soil activity.
2) Tuhy, J.S., MacMahon, J.A., 1988, Vegetation and relict communities of Glen Canyon National Recreation Area. Final Report to the National Park Service. The Nature Conservancy.
The authors visited Steven's Bench above the Escalante River, and Antelope Island in Lake Powell (no longer an island), considering them to be "relict areas", i.e. reference/ potential states. They at least compiled species lists and may have done some quantitative sampling in a wet year when these were grasslands. Return visit to Steven's bench by me, Spence and several USGS people showed then not to be very grassy any longer back after the drought in 2003. I don't know what ecosites these are but they are reasonable analogs.
I agree that there probably are quite a bit of relevant data out there, but an issue is disparate methods and variables that may preclude compilation of a single 'good' data set - hence the notion of data sparsity. It may be more accurate to conceive of the Desert Sand site as an 'intermediate' site in terms of data availability - e.g., sleuthing discovers a 'fair - good' amount of relevant data, but no single 'very good' data set collected using same methods etc. This contrasts with ecosites for which there are virtually no data, and with other ecosites for which there exist the 'very good' data sets (e.g., Semidesert Sandy Loam).
ReplyDeleteIn addition to the data sets you've identified, there also are 45 Semidesert Sand plots in my Cany / Dugout data set that include several plots that formerly were classified as Desert Sand in the old soil survey - but were reclassified as Semidesert Sand following the Cany soil survey update that is about to be released. It's reasonable to consider the Desert Sand - Semidesert Sand as representing a xeric - mesic gradient driven by elev, aspect, and maybe regional variation in precip seasonality. My 45 plots range in elev from 1431 to 1813 m. Plots at low end are certainly relevant to GLCA; plots at high end are less so. One approach would be to look at the elev range for Desert Sand in GLCA based on soil survey (old unpubl version is avail digitally), and use that to constrain selection of other data sets. Or something like that.
Also - fyi - my ordination / cluster analyses of the 45 SD Sand plots using functional groups and bare ground indicates that most of the variability is due to BSC, exotic annuals, and bare ground - which corresponds pretty nicely with the concept of a 3 state system.
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