Scholar

Arthur Geßler

H-index: 82
Environmental science 50%
Agriculture 15%

Reposted by: Arthur Geßler

aliraza6.bsky.social
Excited to share our review is on the Cover of @cp-trendsplantsci.bsky.social (Vol 30, Issue 10)🤩🎉😍

👉 #Panomics to manage combined #abiotic stresses in plants

🔗 www.cell.com/trends/plant...

Congratulations to all authors @agbioworld.bsky.social👏

@plantteaching.bsky.social @cellpress.bsky.social
In this work, together with my wonderful co-authors (Yiran Li, Channapatna Prakash, and Zhangli Hu), we discuss how climate change-driven combined abiotic stresses threaten global crop productivity, and how panomics, AI-driven breeding, single-cell omics, and advanced phenotyping can guide the way for stress-smart crops of the future🌱



🔑 𝙆𝙚𝙮 𝙞𝙣𝙨𝙞𝙜𝙝𝙩𝙨:

Panomics + AI = unlocking novel molecular targets & pathways

Field-level validation + spatial/single-cell omics for real-world solutions

Synthetic biology and epigenome editing as next-gen breeding strategies

Crop wild relatives as hidden reservoirs of resilience

Designing "genetic circuits" and "full-gene packages" for enhanced tolerance



Ultimately, we propose panomics as a “social insurance” for crops, equipping them to withstand real-world stress combinations and secure sustainable agriculture in a changing climate 🌍✨
arthurobuntspecht.bsky.social
Effects of Soil and Atmospheric Drought on Intra-Annual δ13C Patterns in Tree Rings https://dx.doi.org/10.1093/treephys/tpaf120

Reposted by: Arthur Geßler

wslresearch.bsky.social
Die Unwetter 2024 forderten in der Schweiz 13 Todesopfer, 3 Vermisste und verursachten Schäden von 905 Mio. CHF. Es handelt sich um die fünfthöchste Jahresschadenssumme seit Beginn der Erhebungen 1972. www.wsl.ch/de/news/unwe... @bafu.admin.ch #Schweiz #WSL #Naturgefahren #Forschung
Unwetter 2024: viele Todesopfer und hohe Kosten
Dreizehn Todesfälle und 905 Mio. Franken Schäden: Das ist die Bilanz der Unwetter 2024, wie die jährliche Auswertung durch die WSL ergab.
www.wsl.ch
wslresearch.bsky.social
🌳🐦‍⬛ Der neue Leiter der Forschungseinheit Wald- und Bodenökologie der WSL ist Arthur Gessler @arthurobuntspecht.bsky.social. Mit seiner Arbeit möchte er verstehen, wie Wälder auf Umweltveränderungen wie Hitze und #Trockenheit reagieren. Wir gratulieren! www.wsl.ch/de/news/neue... #wald #waldökologie
Neuer Leiter der Einheit Wald- und Bodenökologie
Der renommierte Waldökologe Arthur Gessler übernimmt die Leitung der neuen WSL-Forschungseinheit.
www.wsl.ch
arthurobuntspecht.bsky.social
Impact of a 2°C Warmer Climate on the Fine Root System of European Beech, Sessile Oak, Scots Pine, and Douglas Fir in Central European Lowland Forests - Ecosystems
Impact of a 2°C Warmer Climate on the Fine Root System of European Beech, Sessile Oak, Scots Pine, and Douglas Fir in Central European Lowland Forests - Ecosystems
Climate change increasingly exposes Central European forests to drought and heat stress, causing vitality decline and increased mortality of key tree species. How warming alters the size and dynamics of tree root systems is not well known. In a root coring and ingrowth core study in 24 stands, we compared fine root biomass (FRB), necromass, productivity, longevity and morphology in mature stands of European beech, sessile oak, Scots pine, and Douglas fir in two German lowland regions differing by 2 °C in mean annual temperature, which may evidence long-term thermal acclimation. FRB was significantly smaller in the warmer region in beech and Douglas fir, while cumulated fine root surface area was reduced in pine, Douglas fir, and beech, but not in oak. Both root productivity and longevity were reduced in the warmer region in Douglas fir and pine, indicating vulnerability to warming. Beech showed a non-significant productivity reduction, while longevity slightly increased. Oak tended to increase productivity and longevity, indicating highest resilience to warming. Fine root system size was more plastic than root morphology, which differed only slightly between the regions. Using reductions in root longevity and in fine root productivity in the warmer region as criteria, species are ranked for their belowground vulnerability to warming as: Scots pine > Douglas fir > European beech > sessile oak. We conclude that Central Europe’s major timber species differ largely in their belowground vulnerability to warming, with conifers being more sensitive than broad-leaved species.
link.springer.com
arthurobuntspecht.bsky.social
Water films, from the cuticle into stomata - X-ray micro-CT imaging to study foliar water uptake mechanisms in plants with contrasting leaf topography: https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.70421

Reposted by: Arthur Geßler

methodsinecoevol.bsky.social
📖Published📖

Arnold et al. propose a design that will allow ecologists to simulate more realistic heat events in the field by combining a controllable convection heater system with a semi-enclosed chamber with adjustable vents 🌍 🧪

buff.ly/k2GJSA2
Images of the chamber and active heating system. (a) Annotated detail image of the heating system, electrical components, and chambers (not to scale). Field photos from Mt. Hotham, VIC, Australia (Case study 1): (b) two polycarbonate chambers attached via black ducting to one heating system under a tarpaulin for protection from the weather; and (c) side view of a chamber with its semi-enclosed, overhanging lid with adjustable portholes, circulating fans, and Stevenson screen housing thermocouples. (d) Field photo from Perisher Valley, NSW, Australia (Case study 2). The heating system attached to three chambers showing improved insulative ducting and open tent protecting and ventilating the heating system. Note that chamber lids are transparent like the chamber sides but appear grey due to reflections of cloud cover.

Reposted by: Arthur Geßler

borisrewald.bsky.social
🚨Publication Alert🚨Root mixture analysis: methods and vision. Marco Lombardi et al. doi.org/10.1016/j.tp... - A 🧪 rational why we need (better) tools to study (crop) #root mixtures to move toward #sustainable #production of #food #feed #energy. Download 50 days: authors.elsevier.com/a/1lZUN4rGdj...
Figure 1. Key figure. Advanced spectroscopy-based pipeline for root species differentiation.

(A) Root phenotyping system. The root phenotyping system consists of a minirhizotron installed in the field trials at various angles from the vertical axis, best suited for accommodating the camera system. (B) Light spectrum. The light spectrum consists of three main regions: UV, visible light, and IR. The IR region is further divided into two groups: near-IR (NIR) spanning 750–1000 nm and short-wave IR (SWIR) covering 1000–2500 nm. Examples of six features that could be detected in roots in multispectral analysis encoding for blue, green, red, water, nitrogen, and carbon. The wavelength scale is expressed in nanometers (nm). (C) Multispectral camera system. The camera is mounted on an aluminum tube, which allows smooth movement along the minirhizotron for efficient data collection. On the right is an example of image overlay of different multispectral bands. (D) Root species differentiation. Left: The large volume of multispectral images captured by the camera system is processed and segmented using software that leverages deep learning and machine learning for high-throughput segmentation. The segmentation involves distinguishing and separating root objects from nonroot objects within root and soil mixtures. Center: The segmented roots are clustered using unsupervised methods, including k-means clustering and principal component analysis. Right: Supervised statistical analysis predicts root species (species 1 and species 2) in a mixture. Created in BioRender (https://BioRender.com/k43u259). 

© 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. https://doi.org/10.1016/j.tplants.2025.07.003

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