Skip Ribbon Commands
Skip to main content
Suche
Breadcrumb Navigation

Study investigates factors influencing soil moisture

Hauptinhalt der Seite

​​​​​​​​​​​​​​​​​​​​​​​​​​​​21.06.2024

Mobile TDR sensors with LoRa nodes make it possible to monitor soil moisture in the topsoil. | Source: © Maria Schnaitmann / ZALF.

A team of scientists from the Leibniz Centre for Agricultural Landscape Research (ZALF), the Institute of Technology and Resource Management in the Tropics and Subtropics (ITT) at Cologne University of Applied Sciences, the Institute of Environmental Sciences and Geography at the University of Potsdam and the Institute of Crop Science and Resource Conservation (INRES) at the University of Bonn have conducted a study with the help of modern, digital sensors to investigate the influence of plants and soils on soil moisture. The method presented in the study can contribute to a better understanding of the factors influencing soil moisture in further research. This is important for the development of more water-efficient cultivation methods. The results have now been published in the journal "Hydrology and Earth System Sciences".

IIn the study, the researchers analyzed 64 soil moisture time series from a diversified field with seven different crops and two weed management strategies. The results showed that about 97% of the spatial and temporal variation in soil moisture can be explained by five main components. Weather-related factors explained 72.3 %. 17.0 % were attributed to the different seasonal behavior of the crops. Soil texture was responsible for 4.1 % and the cultivation system for only 2.2 % of the deviations. The soil depth of the measurement only had an influence of 1.7%. This means that 19.2 % of the changes in soil moisture can be explained by plant-related factors. Only 5.8% can be attributed to soil properties.

To the researchers' surprise, neither the topography of the terrain nor the weed control strategy had a significant influence. Soil and root heterogeneity were also negligible, according to the authors. Although the results are highly site-dependent, the approach for the statistical evaluation of time series presented can be applied to a wide range of conditions.

LoRaWAN-based sensor networks

Within the study, the researchers used so-called LoRaWAN-based wireless sensor networks, an advanced technology for wireless monitoring of soil moisture. These networks enable the transmission of data over long distances with low energy consumption. Sensors in the soil continuously measure the moisture at different depths and send the data to central databases in real time. This enables accurate and continuous monitoring of soil conditions.

The patchCROP landscape experiment

The investigations took place as part of the patchCROP landscape experiment in Tempelberg, Brandenburg. The experiment investigates the effects of spatial and temporal diversification in cultivation on soil health, water availability, yield, biodiversity and the use of pesticides.

"Our research shows how important it is to understand the interactions between soil conditions and plant species in order to better understand soil moisture," explains Kathrin Grahmann, one of the lead researchers on the study. "With the help of modern sensor technology, we will be able to develop sustainable agricultural practices in the future to further optimize water use."

Project partner:

  • ​Leibniz Center for Agricultural Landscape Research (ZALF)
  • TH Cologne
  • University of Potsdam
  • ​University of Bonn

Funding:

This research work was funded by the German Research Foundation (DFG) as part of the German Excellence Strategy (EXC 2070: PhenoRob; project number 390732324).


Further information:

Pictures

For downloading the pictures please click on a picture and use the icon.​ Download-Icon

Mobile TDR sensors with LoRa nodes make it possible to monitor soil moisture in the topsoil, while built-in sensors monitor moisture at a depth of 60 cm. The study results are important for further research into water-efficient cultivation methods. | The picture can be used for editorial purposes by stating the source: © Maria Schnaitmann / ZALF.
Mobile TDR sensors with LoRa nodes make it possible to monitor soil moisture in the topsoil, while built-in sensors monitor moisture at a depth of 60 cm. The study results are important for further research into water-efficient cultivation methods. | The picture can be used for editorial purposes by stating the source: © Maria Schnaitmann / ZALF.​

Text disclaimer:

DThis is a ​summary of​ the original text created with the help of artificial intelligence: Scholz, H., Lischeid, G., Ribbe, L., Hernandez Ochoa, I., Grahmann, K. (2024) Differentiating between crop and soil effects on soil moisture dynamics. Hydrology and Earth System Sciences 28, 11, 2401-2419. https://doi.org/10.5194/hess-28-2401-2024, published under license CC BY 4.0 https://creativecommons.org/licenses/by/4.0/​. The text has been carefully reviewed and revised in the light of AI regulations at ZALF. ​

​​
Fusszeile der Seite
Wordpress icon
Instagram icon
YouTube icon
ResearchGate icon
Mastodon icon
Bluesky icon
LinkedIn icon
© Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF) e. V. Müncheberg

Funded by:

BMEL logo
MWFK logo