2018
DOI: 10.1002/ece3.4591
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Use of auto‐germ to model germination timing in the sagebrush‐steppe

Abstract: Germination timing has a strong influence on direct seeding efforts, and therefore is a closely tracked demographic stage in a wide variety of wildland and agricultural settings. Predictive seed germination models, based on soil moisture and temperature data in the seed zone are an efficient method of estimating germination timing. We utilized Visual Basic for Applications (VBA) to create Auto‐Germ, which is an Excel workbook that allows a user to estimate field germination timing based on wet‐thermal accumula… Show more

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Cited by 13 publications
(19 citation statements)
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“…, Richardson et al. ). Warmer temperature with wetter soils can also increase nutrient uptake in sagebrush and nitrogen fixation by biocrusts (Belnap , Pregitzer and King , Schlaepfer et al.…”
Section: Discussionmentioning
confidence: 99%
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“…, Richardson et al. ). Warmer temperature with wetter soils can also increase nutrient uptake in sagebrush and nitrogen fixation by biocrusts (Belnap , Pregitzer and King , Schlaepfer et al.…”
Section: Discussionmentioning
confidence: 99%
“…, Richardson et al. ). However, warmer soils without sufficient soil moisture can lead to seedling emergence failure (Bates et al.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Using the program Auto Germ (Richardson, et al, ), linear and curvilinear regression was used to apply polynomial equations to the germination time data gathered from the experiment in the previous section. These equations, or wet‐thermal models, estimate germination rate (inverse of T x ) in relation to incubation temperature.…”
Section: Methodsmentioning
confidence: 99%