Environmental Effects on Seedling Establishment Bruce Roundy, Kert Young, Nathan Cline, Stuart Hardegree, Jennifer Rawlins – Lack of plant establishment limits revegetation/restoration success – Establishment potential for plant materials not well understood • Plant materials improvement • Match plant materials to site conditions Research overview Characterize seedbed environment Develop models of germination and seedling growth • • • Wet thermal accumulation • Germination time • Seminal root growth Pinyon-juniper Sagebrush Crested wheatgrass • Cheatgrass 170 stations 30 sites Soil moisture/ temperature Compare modeled and actual responses in lab and field Seedbag retrieval • 2 Sites • 2 years In situ root tubes • 2 sites • 2 years Extend predictions to a range of species, environments, treatments Characterize seedbed environment Percent of time at a temperature when wet 50 45 40 35 30 25 20 15 10 5 0 < 0 °C > 0 ≤ 5°C Suboptimal > 5 ≤ 10°C > 10 ≤ 25°C Optimal > 5 ≤ 25°C > 25 ≤ 30°C Supra-optimal Fall-early winter Fall -late winter Late winter-early spring Late winter-mid spring Characterize seedbed environment % wet days SageSTEP sagebrush sites 20 18 16 14 12 10 8 6 4 2 0 Wet days in Early Spring Mar-Apr >0 0-<5 5 - < 10 10 - < 25 25 - < 30 30 - < 35 35 - < 40 > 40 % of Season Temperature Range 20 18 16 14 12 10 8 6 4 2 0 Wet days in Late Spring May-Jun >0 0-<5 5 - < 10 10 - < 25 25 - < 30 30 - < 35 35 - < 40 Temperature Range > 40 Develop models of germination Wet thermal accumulation germination models More collections 14 collections 0.6 0.5 0.4 0.3 0.2 0.1 0 0.5 3 5.5 8 10.5 13 15.5 18 20.5 23 25.5 28 30.5 33 35.5 38 40.5 1/Days to 50% germination 0.7 Temperature ( C) Develop models of seedling growth Thermal accumulation seminal root growth models AGHESoil Rank 1468 Eqn 1450 y-1=a+bxlnx+cx0.5 Residuals [4] AGHESoilRate Annual agoseris – Soil AGHESoilRate Residuals [4] r2=0.9860942 DF Adj r2=0.96523549 FitStdErr=0.0028200597 Fstat=106.36862 © 2004 Steve Matson a=378.81125 b=3.3306978 c=-125.72838 0.002 0.002 0 0 Residuals -0.002 -0.002 -0.004 -0.004 -1 = a + bx*lnx + cx0.5 y 0.07 0.07 0.06 0.06 r2 = 0.986 0.05 ___1___ 0.05 Days to 0.04 0.04 0.03 15 cm 0.03 Temperature response curve 1 0.02 0.02 80 0.01 0.01 0 0 0 10 20 30 40 X Constant Temperature Trials ( C) Develop models of seedling growth Thermal accumulation seminal root growth models Forbs o Perennial – – – – – 14 Collections Eagle Yarrow White-VNS Yarrow Utah milkvetch Appar blue flax Longspur Lupine o Annual agoseris Grasses o Perennial – – – – – Hycrest crested Nordan crested Squirreltail – Sanpete Co., Utah Secar - Snake River wheatgrass Anatone bluebunch o Cheatgrass – Rush Valley ‘05, Utah – Skull Valley ’07, Utah – Skull Valley ‘08, Utah Develop models of seedling growth Thermal accumulation seminal root growth models 100 # seedlings/m2 80 Yarrow 60 Crested Cheatgrass 40 Flax Bluebunch 20 0 Apr May Jun Aug Mar Apr May Jun Jul Develop models of seedling growth Thermal accumulation seminal root growth models Rate of root depth – vs – Rate of soil drying front in spring Rate of root depth keeps up with drying front Soil drying front faster than rate of root depth Successful seedling establishment Death Dry Wet Resources Not available Resources available Dry Wet Soil drying front Compare modeled and actual responses in lab and field Germination Accuracy (%) 100 80 60 Flax 40 Perennial grasses 20 Cheatgrass 0 Fall-early winter Fall -late winter Late winter-early spring Late winter-mid spring Continuous accumulation with -1.5 MPa water potential = wet Compare modeled and actual responses in lab and field Root growth- in growth chamber Diurnal 4-12°C 900 800 700 600 Degree Days 500 to 15-cm 400 depth 300 200 100 0 Actual Annual Grasses Predicted Perennial Grasses Ann. Forb Perennial Forbs Extend predictions to a range of species, environments, treatments Germination Additional work: Nathan Cline dissertation High cheatgrass germination potential on sagebrush sites in Great Basin Extend predictions to a range of species, environments, treatments • Predict germination • Predict root growth • Predict seedling survival