A soil temperature decision support tool for agronomic research and management under climate variability: adapting to earlier and more variable planting conditions

Kath, Jarrod ORCID: https://orcid.org/0000-0003-2391-1264 and Pembleton, Keith (2019) A soil temperature decision support tool for agronomic research and management under climate variability: adapting to earlier and more variable planting conditions. Computers and Electronics in Agriculture, 162. pp. 783-792. ISSN 0168-1699


Abstract

Soil temperature is important for agro-environmental processes, including germination, plant growth and soil microbial functioning. Here we develop a soil temperature model and show its use for guiding a soil temperature dependent farming decision – when to sow cotton. We used general additive mixed modelling, which allows for non-linear effects and an extensive soil temperature dataset (245,330 observations from 45 sites) from Australia to build the model. The model uses climatic and environmental data as inputs and had good predictive ability (mean cross-validated R2=0.92, RMSE=1.91, percent bias=−0.01). The preceding day’s maximum temperature and temperature difference (daily maximum – minimum) were the two climate variables most strongly correlated with soil temperature. The model was used to develop a real-time web-based spatial decision support tool to inform cotton planting decisions. We also demonstrate the approaches utility for research, by hindcasting our model using high quality historical climate data and demonstrate significant shifts towards earlier (−11 days) and more variable (standard deviation+3.16 days) planting windows relative to the origins of the Australian modern cotton industry in the 1960s.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Applied Climate Sciences (1 Aug 2018 -)
Date Deposited: 28 May 2019 05:34
Last Modified: 09 Oct 2019 01:25
Uncontrolled Keywords: cotton; agronomy; phenology; temperature; climate change
Fields of Research (2008): 05 Environmental Sciences > 0503 Soil Sciences > 050399 Soil Sciences not elsewhere classified
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070399 Crop and Pasture Production not elsewhere classified
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070101 Agricultural Land Management
Fields of Research (2020): 41 ENVIRONMENTAL SCIENCES > 4106 Soil sciences > 410699 Soil sciences not elsewhere classified
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300499 Crop and pasture production not elsewhere classified
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300202 Agricultural land management
Socio-Economic Objectives (2008): B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820301 Cotton
Identification Number or DOI: https://doi.org/10.1016/j.compag.2019.05.030
URI: http://eprints.usq.edu.au/id/eprint/36495

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