Institut für Bodenkunde und Standortslehre

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    Publication
    Dependence of the abundance of reed glass-winged cicadas (Pentastiridius leporinus (Linnaeus, 1761)) on weather and climate in the Upper Rhine Valley, Southwest Germany
    (2025) Kakarla, Sai Kiran; Schall, Eric; Dettweiler, Anna; Stohl, Jana; Glaser, Elisabeth; Adam, Hannah; Teubler, Franziska; Ingwersen, Joachim; Sauer, Tilmann; Piepho, Hans-Peter; Lang, Christian; Streck, Thilo; Kakarla, Sai Kiran; Department of Biogeophysics, Institute of Soil Science and Land Evaluation, University of Hohenheim, 70599 Stuttgart, Germany; Schall, Eric; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Dettweiler, Anna; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Stohl, Jana; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Glaser, Elisabeth; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Adam, Hannah; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Teubler, Franziska; Center of Excellence for Climate Change Impacts, Research Institute of Forest Ecology and Forestry Rhineland-Palatinate, 67705 Trippstadt, Germany; Ingwersen, Joachim; Department of Biogeophysics, Institute of Soil Science and Land Evaluation, University of Hohenheim, 70599 Stuttgart, Germany; Sauer, Tilmann; Center of Excellence for Climate Change Impacts, Research Institute of Forest Ecology and Forestry Rhineland-Palatinate, 67705 Trippstadt, Germany; Piepho, Hans-Peter; Department of Biogeophysics, Institute of Soil Science and Land Evaluation, University of Hohenheim, 70599 Stuttgart, Germany; Lang, Christian; Association of Hessian-Palatinate Sugar Beet Growers e.V., Rathenaustraße 10, 67547 Worms, Germany; Streck, Thilo; Department of Biogeophysics, Institute of Soil Science and Land Evaluation, University of Hohenheim, 70599 Stuttgart, Germany; Guo, Jianying
    The planthopper Pentastiridius leporinus , commonly called reed glass-winged cicada, transmits the pathogens “ Candidatus Arsenophonus phytopathogenicus” and “ Candidatus Phytoplasma solani”, which are infesting sugar beet and, most recently, also potato in the Upper Rhine valley area of Germany. They cause the “Syndrome Basses Richesses” associated with reduced yield and sugar content in sugar beet, leading to substantial monetary losses to farmers in the region. No effective solutions exist currently. This study uses statistical models to understand to what extent the abundance of cicadas depends on climate regions during the vegetation period (April–October). We further investigated what influence temperature and precipitation have on the abundance of the cicadas in sugar beet fields. Furthermore, we investigated the possible impacts of future climate on cicada abundance. Also, 22 °C and 8 mm/day were found to be the optimal temperature and precipitation conditions for peak male cicada flight activity, while 28 °C and 8 mm/day were the optimum for females. By the end of the 21st century, daily male cicada abundance is projected to increase significantly under the worst-case high greenhouse gas emission scenario RCP8.5 (RCP-Representative Concentration Pathways), with confidence intervals suggesting a possible 5–15-fold increase compared to current levels. In contrast, under the low-emission scenario RCP2.6, male cicada populations are projected to be 60–70% lower than RCP8.5. An understanding of the influence of changing temperature and precipitation conditions is crucial for predicting the spread of this pest to different regions of Germany and other European countries.
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    Unveiling wheat’s future amidst climate change in the Central Ethiopia Region
    (2024) Senbeta, Abate Feyissa; Worku, Walelign; Gayler, Sebastian; Naimi, Babak; Senbeta, Abate Feyissa; Biology Department, College of Natural and Computational Sciences, Hawassa University, Hawassa P.O. Box 05, Ethiopia; Worku, Walelign; School of Plant and Horticultural Sciences, College of Agriculture, Hawassa University, Hawassa P.O. Box 05, Ethiopia; Gayler, Sebastian; Institute of Soil Science and Land Evaluation, Biogeophysics, University of Hohenheim, 70593 Stuttgart, Germany; Naimi, Babak; Quantitative Biodiversity Dynamics (QBD), Department of Biology, University of Utrecht, Padualaan 8, 3584 CH Utrecht, The Netherlands; Kuhn, Arnd Jürgen; Fenu, Giuseppe
    Quantifying how climatic change affects wheat production, and accurately predicting its potential distributions in the face of future climate, are highly important for ensuring food security in Ethiopia. This study leverages advanced machine learning algorithms including Random Forest, Maxent, Boosted Regression Tree, and Generalised Linear Model alongside an ensemble approach to accurately predict shifts in wheat habitat suitability in the Central Ethiopia Region over the upcoming decades. An extensive dataset consisting of 19 bioclimatic variables (Bio1–Bio19), elevation, solar radiation, and topographic positioning index was refined by excluding collinear predictors to increase model accuracy. The analysis revealed that the precipitation of the wettest month, minimum temperature of the coldest month, temperature seasonality, and precipitation of the coldest quarter are the most influential factors, which collectively account for a significant proportion of habitat suitability changes. The future projections revealed that up to 100% of the regions currently classified as moderately or highly suitable for wheat could become unsuitable by 2050, 2070, and 2090, illustrating a dramatic potential decline in wheat production. Generally, the future of wheat cultivation will depend heavily on developing varieties that can thrive under altered conditions; thus, immediate and informed action is needed to safeguard the food security of the region.