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Southern Sierra CZO update Roger Bales, UC Merced –Science directions –Infrastructure update –Research highlights –SSCZO team –Data –Next steps Research.

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Presentation on theme: "Southern Sierra CZO update Roger Bales, UC Merced –Science directions –Infrastructure update –Research highlights –SSCZO team –Data –Next steps Research."— Presentation transcript:

1 Southern Sierra CZO update Roger Bales, UC Merced –Science directions –Infrastructure update –Research highlights –SSCZO team –Data –Next steps Research focus: water balance, nutrient cycling & weathering across the rain-snow transition – soil moisture as integrating variable

2 Southern Sierra CZO update Roger Bales, UC Merced –Science directions –Infrastructure update –Research highlights –SSCZO team –Data –Next steps Conceptual model: bi-directional links between landscape/climate variability & water/material fluxes across the rain-snow transition

3 How is the response of soil moisture to snowmelt & rainfall controlled by variability across the landscape, & how do these responses both reflect & constrain streamflow & evapotranspiration? Science question – 1

4 What is the process linkage between soil moisture & topographic variability, soil formation & weathering? Science question – 2

5 How does vegetation/ecosystem distribution & function (species, plant functional type, production) vary with climate (elevation); & what physiological mechanisms are controlling? Science question – 3

6 How do vegetation attributes influence land-atmosphere exchange & catchment cycling of water, energy, CO 2 ? Science question – 4

7 What is the link between soil heterogeneity, water fluxes & nutrient availability? Science question – 5

8 CZO UCM Location Southern Sierra CZO is located at elevations 1750- 2100 m, across the rain-snow transition, in a very productive mixed-conifer forest, with extended measurement nodes at elevations 400- 2700 m

9 CZO measurements are centered around the Kings R. basin, N fork Kings R. San Joaquin R. Kaweah R. Fresno

10 Kings R. San Joaquin R. Kaweah R. Fresno Kings River Wolverton catchments, 2100- 2700 m, lies in the snow zone, above the 1750-2100 m elevation Providence catchments

11 3 headwater catchments w/ stream gauges & water- quality measurements 2 met stations 60-m tall flux tower 60-node wireless embedded sensor network 214 EC-TM sensors for volumetric water content 113 MPS sensors for matric potential 57 snow-depth sensors Meadow piezometers & wells Sap-flow sensors Providence Creek – main CZO instrument cluster

12 Kings R. San Joaquin R. Kaweah R. Fresno Flux towers along an elevation gradient, 400-2700 m, extend the core CZO instrument cluster from water-limited to temperature- limited ecosystems 4 towers in place now, 3 more planned under NEON (2 co-located)

13 Elev 400 m T ave 14.4 o C Annual rain: 0.5 m 0 dy snow 6 mo growing, water limited Oak/Pine savannah – Gray pine & live oak w/ exotic grasses San Joaquin Experimental range

14 Elev 1200 m T ave 10.9 o C Annual precip: 0.9 m 11 dy snow Possible long growing season & high productivity Dense mix of smallish Ponderosa pine & oak, w/ many shrubs Site may be recovering from logging/fire/beetles Soaproot saddle

15 Elev 2100 m T ave 8.9 o C Annual precip: 1.0 m 130 dy snow 12 mo growing season – neither cold nor drought limited White fir w/ sugar & other pines, incense cedar & patchy, dense shrubs Providence P301

16 Elev 2700 m T ave 4.1 o C Annual precip: 1.1 m 184 dy snow ~5 month growing season – cold limited Mostly Lodgepole pine w/ scattered western white pine & red fir Shorthair Creek

17 Sep- 08 Jun 10Jan 09Jan 10Jun 09 Cumulative Et (mm) Rnet (W/m 2 ) Air T ( o C) Little rain, 5/09-10/09 430 mm Et, 5/10-10/10 730 mm Et, 10/08-10/09 Very high annual & summer ET at P301 High summer values depend on deep root extraction of water Happy elev for trees – T & precip just right Soils hold snowmelt over summer. How much water can soils hold vs. elev?

18 Total profile soil water storage – upper vs. lower met (soil texture effect) Lower – finer soils Upper – coarser textured soils

19 D J F M A M Physiographic controls over snow distribution Snow depletion links w/ soil drying at multiple scales Snowpack & snowmelt control the timing of soil drying

20 Climatic, physiographic & vegetation controls on water yield Decreasing temperature Increasing snow fraction Decreasing LAI Coarser soils Mean elevations for 8 catchments Modeling in progress

21 Tracking of soil moisture & sap flux ET decreasing from 1 to 0.5 mm/d ET decreasing towards 0.1 mm/d Putting these together w/ tower data in progress

22 Do changes in the timing of water availability affect microbial community structure & annual rates of biogeochemical cycling in mountain soils? Reduced snowcover on S facing apparently not a factor in decomposition rate? P = 0.001 in one-way ANOVA N facing S facing % litter mass remaining

23 Hot spots, i.e. statistical outliers, common for inorganic species in both O horizon & mineral soil Infiltration of nutrient-rich runoff in preferential flowpaths creates the hot spots Runoff through O horizon occurs due to lack of roots Hotspots in mineral soil not co- located with hotspots in overlying O horizon Hotspots increase litter decomposition rates? Nutrient hot spots

24 Providence erosion rates Sediment basin Headcut

25 Soil moisture & sap flux measurement design using RHESSys & cluster analysis – catchment P300 Initial plots mainly in 1-3 Added plots in 4-6 Model vs. initial measurements – qualitative agreement

26 Prototype embedded sensor network, 2008-present RSSI<-80dBm RSSI>-80dBm Randomized channel- hopping protocol Self-assembling redundant mesh Near 100% transmission w/ RSSI > -73 dBm, i.e. spacing of < 100 m Received signal strength (RSSI), log scale Packet delivery ration

27 Wireless network layout & equipment 50 m Sensing node Hopper node Embedded base station Node w/ antenna

28 SSCZO Co-PIs & students from 8 campuses; many more collaborators R. Bales, P. Kirchner M. Conklin, R. Lucas S. Hart, J. Blankenship A. Behre, E. Stacy M. Goulden, A. Kelly C. Tague, K. Son J. Hopmans, P. Hartsough B. Houlton, S. Enders T. O’Geen D. Johnson, C. Woodward C. Riebe, B. Jessup S. Glaser, B. Kerkz C. Hunsaker N. Molotch, K. Musselman

29 Data availability through digital library Level 2 data from core field measurements made available by water year: snow, soil moisture, temperatures, flux tower Current-year level 1 data available by request Investigator-specific data available as per CZO & NSF data policy

30 –End of yr 3 – some mature research & some data streams just initiated –Most students started in yr 2 –Several papers submitted or close –Fall AGU: 16 abstracts –LIDAR products – spring 2011 –Single-tree experiment replicated this summer –Instrument cluster – basis for developing broader water information system in Sierra Nevada Next steps http://snri.ucmerced.edu/CZO

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