Assessment of soil trafficability across the agricultural region of the Canadian Prairies with the gridded climate data set

Chipanshi, Aston; Fitzmaurice, John; Jong, R. De; Bogdan, Derek; Lewis, M.; Kroetsch, David; Lee, David

doi:10.1016/j.still.2018.07.003

Cited by 8 publications

(7 citation statements)

References 25 publications

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“…While the soil effects on threshold API were detected (Fig. 4), the present model did not implement soil data unlike previous studies (e.g., Brown, 2017;Chipanshi et al, 2018). Although forecasts of workability in individual farmers' fields may be a useful application and numeric datasets of soil characteristics with a high spatial resolution are helpful to address this point, the soil characteristics differ among neighboring fields depending on cultivation history and soil management.…”

Section: Limitations Of the Present Studymentioning

confidence: 80%

“…Rutledge and McHardy (1968) analyzed a relationship between the soil moisture content and field tractability for tillage operations in Alberta and reported that the tractability was reasonably estimated based on the soil water contents of two or three surface layers. Chipanshi et al (2018) performed a spatial assessment of field trafficability based on the soil water content of the upper 5-cm depth in the Canadian Prairies. The soil water contents of several surface layers were also used to assess the commencement of spring field operations (Bootsma and De Jong, 1988;Selirio and Brown, 1972).…”

Section: Introductionmentioning

confidence: 99%

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Projected changes in field workability of agricultural machinery operations for upland crop production in +4 K Hokkaido, Japan

Murakami

Inoue

Nemoto

et al. 2022

Preprint

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The use of agricultural machines for field operations is often restricted by soil status determined by meteorological conditions several days before the operation. While a projected increase in air temperature caused by climate change may promote evapotranspiration and have positive impacts on the use of agricultural machines, intensified rainfall may have negative effects at the same time. This study aimed to provide probabilistic estimates of climate change impacts the meteorological constraints on field workability of agricultural machines in Hokkaido, Japan. Analyses based on historical meteorological data and machinery operation logs recorded at two agricultural research stations revealed that operations concentrated on days with smaller antecedent precipitation index (API). A simple derivative of API that reflects a practically maximum API value to carry out a certain field operation, termed threshold API, was proposed to evaluate the meteorological constraints on field operations. Because threshold API values for operations that are vulnerable to soil conditions (e.g., sowing and soil preparation) and/or at fields with poor drainage soil were small, this threshold should be a reasonable and quantitative measure of the meteorological constraint on field workability. Using 1-km gridded API values under historical and future climates calculated from a large ensemble dataset of daily mean air temperature and precipitation, we separated workable and unworkable days from June to October based on a threshold value of 5 mm and calculated projected changes in monthly numbers of the total workable day and consecutive unworkable day. While there were slight negative effects in several regions in the Southern and Central regions under future climate with a 4-K higher global mean temperature, preferable changes prevailed in both metrics in the other regions and months. The present results facilitate probabilistic discussion of changes in agricultural calendars and suggest that climate change may extend the agricultural season in Hokkaido.

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Section: Limitations Of the Present Studymentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Projected changes in field workability of agricultural machinery operations for upland crop production in +4 K Hokkaido, Japan

Murakami

Inoue

Nemoto

et al. 2022

Preprint

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“…The start of the growing season commenced when the soil was warm (10 consecutive days of T mean > 5°C) and moist enough (soil moisture at planting depth of 5–10 cm being 90% of the Available Water Holding Capacity [AWC] to support seed germination). The threshold, (90% of AWC), is used to define a work day when farm machinery can traverse the fields (Maton et al, 2007; Chipanshi et al, 2018). The soil moisture threshold was assumed to be met when the temperature requirement was reached.…”

Section: Methodsmentioning

confidence: 99%

Agroclimatic indices across the Canadian Prairies under a changing climate and their implications for agriculture

Chipanshi

Berry

Zhang

et al. 2021

Intl Journal of Climatology

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With the objective of trying to understand the adaptability of agriculture across the Canadian Prairies under climate change, simple‐to‐use agroclimatic indices were calculated for the base climate period of 1981 to 2010 and for both the medium (RCP4.5) and high (RCP8.5) emission projections extending to the distant future (2071–2100). The agroclimatic indices included the Effective Growing Degree Days (EGDDs), Growing Season Length (GSL), the Climate Moisture Index (CMI), and the Temperature Humidity Index (THI). For climate change in 30‐year periods, these indices were calculated as multi‐model ensembles of six Global Climate Models recommended under the Coupled Model Intercomparison Project Phase 5 (CMIP5) for the study area. We found that the GSL, EGDDs, CMI, and THI were amplified above the values of the base climate period in the order of 40–50 days, 600–1200 heat units, −100 to −120 mm and 3–4 THI units by the close of the distant future (2071–2100) under the RCP4.5 and RCP8.5, respectively. This amplification has implications on where crop and livestock production could become more suitable or riskier in future. Opportunities include expanding crop and livestock production to more northerly regions which currently have insufficient heat units, a short growing season and unfavourable temperature humidity thresholds for livestock production. Moisture deficits will continue to be the greatest risk during the growing season under climate change scenarios but options exist to implement adaptive measures such as staggering seeding times to take advantage of moisture availability in the spring and autumn seasons and crop substitution. This study has relevance for policy and program formulation and implementation in Canada's agricultural regions and potentially, other areas of the world with similar climate change outcomes.

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“…Another aspect refers to the in-field accessibility at the proper time for optimal agricultural management (i.e. trafficability; Chipanshi et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Mapping potential surface ponding in agriculture using UAV‐SfM

Straffelini

Cucchiaro

Tarolli

2021

Earth Surf Processes Landf

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Among the environmental problems that could affect agriculture, one of the most critical is ponding. This may be defined as water storage on the surface in concavities and depressions due to soil saturation. Stagnant water can seriously affect crops and the management of agricultural landscapes. It is mainly caused by prolonged rainfall events, soil type, or wrong mechanization practices, which cause soil compaction. To better understand this problem and thus provide adequate solutions to reduce the related risk, high-resolution topographic information could be strategically important because it offers an accurate representation of the surface morphology. In the last decades, new remote sensing techniques provide interesting opportunities to understand the processes on the Earth's surface based on geomorphic signatures. Among these, Uncrewed Aerial Vehicles (UAVs), combined with the structure-from-motion (SfM) photogrammetry technique, represent a solid, low-cost, rapid, and flexible solution for geomorphological analysis. This study aims to present a new approach to detect the potential areas exposed to water stagnation at the farm scale. The high-resolution digital elevation model (DEM) from UAV-SfM data is used to do this. The potential water depth was calculated in the DEM using the relative elevation attribute algorithm. The detection of more pronounced concavities and convexities allowed an estimation and mapping of the potential ponding conditions. The results were assessed by observations and field measurements and are promising, showing a Cohen's k(X) accuracy of 0.683 for the planimetric extent of the ponding phenomena and a Pearson's r xy coefficient of 0.971 for the estimation of pond water depth. The proposed workflow provides a useful indication to stakeholders for better agricultural management in lowland landscapes.

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Assessment of soil trafficability across the agricultural region of the Canadian Prairies with the gridded climate data set

Cited by 8 publications

References 25 publications

Projected changes in field workability of agricultural machinery operations for upland crop production in +4 K Hokkaido, Japan

Projected changes in field workability of agricultural machinery operations for upland crop production in +4 K Hokkaido, Japan

Agroclimatic indices across the Canadian Prairies under a changing climate and their implications for agriculture

Mapping potential surface ponding in agriculture using UAV‐SfM

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