Relationships between weather and yield anomalies vary with crop type and latitude in Sweden

Sjulgård, Hanna; Keller, Thomas; Garland, Gina; Colombi, Tino

doi:10.1016/j.agsy.2023.103757

Cited by 8 publications

(1 citation statement)

References 61 publications

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“…4). Previous research has shown negative effects of drought on crop yield at the landscape and country scale (Zipper et al 2016;Ray et al 2018;Sjulgård et al 2023), and lower growth rate and lower peak GLAI during water limited conditions have been found in field trials in which GLAI was measured at the canopy (Meinke et al 1997;Boedhram et al 2001). The lower growth and development during drought that we observed in our study demonstrate that Sentinel-2 derived estimates of crop growth proxies can be used to detect drought responses in crop development at the landscape scale.…”

Section: The Impact Of Drought On Crop Developmentmentioning

confidence: 97%

Earth observation reveals reduced winter wheat growth and the importance of soil water storing capacity during drought

Sjulgård,

Graf,

Colombi

et al. 2024

Preprint

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Abstract. Drought poses increasing challenges to global food production. Knowledge about the influence of drought on crop development and about the role of soil properties in drought risk analysis and mitigating drought impacts at the landscape level is important to guide climate change adaptation. Satellite earth observations can provide area-wide insights into crop growth processes that may help identify risk factors and quantify vulnerability to drought. Here, we evaluate the potential of Sentinel-2 to reveal interactions of plant-growth and soil parameters during variable weather conditions. As a case study, we assess winter wheat growth on 13 fields belonging to commercial farmers in southern Sweden in a dry year and a year with normal weather conditions. To track crop growth, green leaf area index (GLAI) was estimated from satellite imagery using a radiative transfer model. Proxies for winter wheat growth rate, peak GLAI, and the timing of peak GLAI were derived from the GLAI development at the single field level. We then compared the crop growth proxies between the two years and across the fields and related them to measured soil properties. We found a lower growth rate, lower peak GLAI and earlier peak GLAI in the dry year compared to the year with normal weather conditions. An increase in peak GLAI in the dry year was also shown to be related to a higher growth rate, and this was not shown in the year with normal precipitation. Differences in crop development between years were large for some fields but small for other fields: suggesting that soil properties play a role in crop response to drought. We found that fields with a higher amount of plant available water capacity had better crop performance in the dry year and smaller relative differences in growth rate between the two years. The observed lower growth rate, lower peak GLAI, and earlier peak in the dry year compared to the year with normal weather conditions, demonstrate that satellite imagery can be used to quantify plant-soil-weather interactions at scales relevant to commercial farming. Our investigation serves as a first step towards supporting drought risk management, drought adaptation and communication activities on this important topic.

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Section: The Impact Of Drought On Crop Developmentmentioning

confidence: 97%

Earth observation reveals reduced winter wheat growth and the importance of soil water storing capacity during drought

Sjulgård,

Graf,

Colombi

et al. 2024

Preprint

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A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications

Hagn,

Schuster,

Mittermayer

et al. 2024

Precision Agric

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This study describes a new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications. The relative biomass potential (rel. BMP) serves as an indicator for multiyear stable and homogeneous yield zones. The rel. BMP is derived from satellite data corresponding to specific growth stages and the normalized difference vegetation index (NDVI) to analyze crop-specific yield patterns. The development of this methodology is based on data from arable fields of two research farms; the validation was conducted on arable fields of commercial farms in southern Germany. Close relationships (up to r > 0.9) were found between the rel. BMP of different crop types and study years, indicating stable yield patterns in arable fields. The relative BMP showed moderate correlations (up to r = 0.64) with the yields determined by the combine harvester, strong correlations with the vegetation index red edge inflection point (REIP) (up to r = 0.88, determined by a tractor-mounted sensor system) and moderate correlations with the yield determined by biomass sampling (up to r = 0.57). The study investigated the relationship between the rel. BMP and key soil parameters. There was a consistently strong correlation between multiyear rel. BMP and soil organic carbon (SOC) and total nitrogen (TN) contents (r = 0.62 to 0.73), demonstrating that the methodology effectively reflects the impact of these key soil properties on crop yield. The approach is well suited for deriving yield zones, with extensive application potential in agriculture.

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Simulation of tomato and corn growth using a modified intercropping model considering radiation interception in two-dimensional space and air temperature stress

Chen,

Li,

Zhang

et al. 2024

European Journal of Agronomy

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Relationships between weather and yield anomalies vary with crop type and latitude in Sweden

Cited by 8 publications

References 61 publications

Earth observation reveals reduced winter wheat growth and the importance of soil water storing capacity during drought

Earth observation reveals reduced winter wheat growth and the importance of soil water storing capacity during drought

A new method for satellite-based remote sensing analysis of plant-specific biomass yield patterns for precision farming applications

Simulation of tomato and corn growth using a modified intercropping model considering radiation interception in two-dimensional space and air temperature stress

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