2015
DOI: 10.1007/978-3-319-24409-9_11
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Evaluating the Agroclimatic Potential of Central Siberia

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Cited by 12 publications
(7 citation statements)
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“…There are two approaches to estimate climate change impacts on the agricultural sector, based on regression and dynamic crop models. Over the past decade, regression models have made a significant progress [9][10][11][12][13]. More sophisticated are dynamic models, which use historical yield data and meteorological observations and are able to simulate crop yields by taking into account the use of fertilizers, regulators of sowing, irrigation, and other techniques [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…There are two approaches to estimate climate change impacts on the agricultural sector, based on regression and dynamic crop models. Over the past decade, regression models have made a significant progress [9][10][11][12][13]. More sophisticated are dynamic models, which use historical yield data and meteorological observations and are able to simulate crop yields by taking into account the use of fertilizers, regulators of sowing, irrigation, and other techniques [14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, this parameter provides rational information on the correlation between the amount of precipitation in the period, when average day temperature exceeds +10 °C, and sum of temperature in degrees in the same period. The HTC was calculated by applying the formula described by Selyaninov: HTC = ∑ x /∑ t × 10, where ∑ x is the sum of the precipitation and ∑ t is the sum of the temperatures in the period, when the temperature has been above 10 °C …”
Section: Methodsmentioning
confidence: 99%
“…During the growth period soil samples ( n = 4) were collected every 14 days (10 times per season in each plot) to measure dehydrogenase activity (DHA), as an indicator of soil microbial activity and ecological changes in the soil, as given by previously described methodology . Briefly, soil samples (1 g) were exposed to 0.20 mL of 4 g L −1 2‐ p ‐iodophenyl‐3‐ p ‐nitrophenyl‐5‐phenyltetrazolium chloride (INT) and 0.05 mL of 10 g L −1 glucose solution in 1.00 mL of distilled water for at least 6 h at 28 °C, protected from light.…”
Section: Methodsmentioning
confidence: 99%
“…For the description of the growing conditions, particularly the balance between moisture and temperature during the vegetation period, the hydrothermal coefficient (HTC) was assessed as the ratio between precipitation to 1/10 of the sum of active temperatures (mean day temperature of the days when it was above 10 • C) [27]. Thus, this parameter provided rational information on the correlation between the amount of precipitation in the period, when the average day temperature exceeded +10 • C, and the sum of temperature in degrees in the same period (Table 3).…”
Section: Determination Of the Hydrothermal Coefficientmentioning
confidence: 99%