Biology subjects

Schmid, B.

Publications and source records attributed to Schmid, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Physiological signatures but no evidence for universal genomic predictors of extreme drought responses in European beech

Following a severe 2018 drought affecting much of Europe, European beech (Fagus sylvatica) exhibited patchy canopy dieback. To investigate the drivers of this mortality, we used a paired case-control design across Swiss forests, integrating phenotypic assessments and genomic analyses. Phenotypically, crown transparency and discoloration were used to classify tree damage state, while several other characteristics were measured to evaluate whether paired, neighboring damaged and undamaged trees were otherwise comparable, and to identify physiological stress signatures. Elevated leaf calcium content and red edge reflectance in dried leaves emerged as robust indicators of physiological stress. Genomic association models using reference-based SNP markers and reference-free k-mers were heavily confounded by micro-environmental variance and local population stratification even within our geographically limited study region. Our cross-validated genomic outliers showed no spatial overlap with predictive drought-associated loci previously identified in an independent German cohort. These findings indicate that drought survival in European beech is not governed by a universal set of major-effect alleles. Instead, tree performance appears highly context-dependent, likely shaped by micro-environmental heterogeneity and phenotypic condition. However, our results do not exclude polygenic drought responses involving multiple small-effect loci.

ecology↗

bioRxiv2026

Drought alters volatile profiles in European beech saplings across genetically diverse backgrounds

O_LIEuropean beech (Fagus sylvatica L.) is a widely distributed, ecologically and economically important deciduous tree species in European forests, but is increasingly threatened by drought stress. Volatile organic compounds (VOCs) are ubiquitous plant metabolites that may serve as non-invasive biomarkers of drought stress, yet they have rarely been studied in European beech. C_LIO_LIIn this study, we examined VOC responses of European beech to experimental drought across diverse genetic backgrounds in a common garden. The 72 four-year-old beech saplings represented three genetic clusters, seven provenances (geographic seed sources), and 12 maternal seed families. Half of the saplings were assigned to the drought treatment and received no water for 14 days, while the remaining saplings served as controls and were watered as required. VOC profiles, quantified as peak heights of mass spectral features, were measured for all individuals during pre-drought, drought, and rewatering periods. C_LIO_LIWe found that pre-drought VOC profiles, in particular monoterpenes, varied significantly among genetic backgrounds. Experimental drought significantly altered VOC profiles, characterized by increased green leaf volatiles and decreased monoterpenes, oxidized terpenoid derivatives, and other fatty acid derivatives. Reductions in monoterpenes persisted after rewatering, indicating a drought legacy effect. Drought responses were largely conserved across genetic backgrounds, with significant seed family-specific responses detected for only three VOC features. C_LIO_LIOur findings suggest that VOC profiles are genetically structured yet highly plastic under drought and highlight their potential as non-invasive biomarkers for monitoring drought stress in European beech under climate change. C_LI

ecology↗

bioRxiv2026

Multitrophic interaction networks mediate biodiversity effects on ecosystem multifunctionality

Biodiversity loss threatens the multifunctionality of ecosystems on which human well-being ultimately depends. Changes in multitrophic species interactions may be key to explaining the ecological consequences of biodiversity loss, but research explicitly linking species interactions and ecosystem multifunctionality remains rare. To assess interaction-mediated biodiversity effects and underlying mechanisms, characterizing the structure of species interaction networks is invaluable. Using comprehensive species interaction and ecosystem functioning data from a large-scale tree biodiversity experiment, we find consistent effects of the structure of species interaction networks on ecosystem multifunctionality across multiple types of antagonistic and mutualistic interactions. While positive effects of network size align with expected positive effects of multitrophic species diversity, positive effects of niche overlap among interacting species and negative effects of highly connected species (i.e. high linkage density) reveal additional, interaction-mediated drivers of multifunctionality. Specifically, the effects of niche overlap suggest benefits of functionally similar species, and the effects of linkage density underscore the importance of specialized interactions in promoting ecosystem multifunctionality. These findings emphasize that to effectively safeguard ecosystem service provisioning, ecosystem management and biodiversity conservation not only need to account for biodiversity changes at multiple trophic levels, but also explicitly for how species interact among each other.

ecology↗

bioRxiv2026

Enhancer RNA Transcription Near Segmentation Gene Enhancers Can Be Analyzed In Situ Using FISH

Enhancer RNAs (eRNAs) are non-coding transcripts produced at enhancer regions, which appear to be involved in transcriptional regulation. Up to date, these have been primarily investigated using labor-and cost-intensive genomic techniques. However, the precise mechanisms by which eRNA transcription or the eRNA transcripts themselves mediate transcriptional regulation remain unclear. Here, we present a novel experimental approach that allows us to analyze the characteristics of eRNA transcription in fixed and live whole Drosophila melanogaster embryos. We employ the anterior-posterior patterning genes as a model system to investigate the dynamics of eRNA expression, utilizing an imaging-based approach. We combined high-sensitivity fluorescence in situ hybridization (FISH) chain reaction (HCR) with high-resolution confocal microscopy to detect eRNA and mRNA molecules. Through this experimental assay, we identified foci of elevated transcriptional activity that generate eRNA transcripts correlated with mRNA production at the same gene locus. We could show that this eRNA transcription is independent of promoter activity. Additionally, we demonstrate that insulators can influence eRNA transcription, resulting in loss of eRNA transcription. Moreover, we observe that eRNAs can originate both within classical enhancer regions and outside of them, including from foreign bacterial sequences when these are placed near enhancer sequences, underscoring the strong influence of local regulatory context on eRNA initiation. In live embryos using MS2-MCP live imaging, our analysis of insulators showed a modest reduction in mRNA burst intensity accompanied by a slight increase in burst frequency. Overall, our imaging-based approach offers a novel platform for dissecting enhancer-eRNA interactions and could be adapted for wider applications.

developmental biology↗

bioRxiv2026

Cardiac signals shape insular cortex activity and emotion coding

Accumulating evidence suggests that cardiac information influences neuronal activity and fundamental brain functions across species. Yet, how the brain represents cardiovascular signals and how this may impact the processing of emotion states remains unclear. Here, we show that intracellular dynamics and single unit activity in the posterior insular cortex (pInsCtx) are precisely regulated by cardiac signals, with individual neurons tuned to heartbeats in a frequency-dependent manner. Furthermore, heartbeat tuning in the pInsCtx occurred preferentially during the first phase of the cardiac cycle, at systole. Heartbeat tuning increased during both appetitive and aversive emotion states, a process not simply explained by increases in heart rate. Manipulation of sympathetic cardiac arousal using beta-adrenergic blockade disrupted neuronal encoding of emotion states in the pInsCtx and blunted behavioral and bodily emotion expression. These findings reveal precise sensory coding of cardiovascular signals in the pInsCtx, which supports its role in encoding emotion states.

neuroscience↗

bioRxiv2026

Using a planted tree biodiversity experiment to evaluate imaging spectroscopy for species classification

Field-based monitoring of tree species in forests is often sparse due to logistical constraints. Remote sensing enables repeated, spatially contiguous collection of reflectance data across large areas. Tree species classification accuracy using such data is variable, likely because most studies use observational datasets where species occurrence correlates with environmental variation. We used two sites of a tree biodiversity experiment in Germany (BIOTREE: Kaltenborn and Bechstedt), where different species have been planted with high replication under controlled diversity levels, to assess how well tree species could be classified using reflectance data from airborne imaging spectroscopy and different classification methods (linear discriminant analysis, LDA, and a non-linear support vector machine, SVM). Reflectance data for 589 wavelengths between 400-2400nm were acquired at 1m spatial resolution during peak growing season. Reflectance spectra showed large and significant variation between taxonomic classes, orders, and species, and weak, but still significant, interactions between classes or orders and diversity levels. Classification accuracy reached 100% in training datasets, 77%-83% for the four species in Kaltenborn prediction datasets, and 31%-49% for the 16 species in Bechstedt prediction datasets. LDA provided more accurate predictions than SVM; and using similarly-spaced original wavelengths with LDA was as efficient as using principal components derived from the original data. While airborne imaging spectroscopy effectively distinguished up to four tree species in our datasets, classification accuracy was lower when 16 species had to be distinguished. In these cases, the methodology may be more useful for functional diversity monitoring than for tree species classification.

ecology↗

bioRxiv2025

A continuum of information-based temporal stability measures and their decomposition across hierarchical levels

When biodiversity-stability relationships are assessed from temporal patterns of species (or species assemblages) biomass or other key variables, ecological stability is commonly quantified as the inverse of the coefficient of variation (CV) or its square. However, just as biodiversity cannot be fully characterized by a single value, the complexity of temporal stability/invariability cannot be completely captured by one metric, especially since CV is disproportionally sensitive to large data values. Ecologists now recognize that species diversity can be fully characterized by a continuum of Hill-number-based measures parametrized by a diversity order q[≥]0, which determines the sensitivity of the measure to species abundance. Building on the intuitive concept that temporal stability can be quantified by the closeness between the data vector and the ideally maximally stable vector, we propose a continuum of information-based measures of temporal stability/invariability parameterized by an order q>0. This continuous parameter q determines the sensitivity of the measure to the magnitude of biomass or other ecosystem functions. By varying q, researchers can differentially weight small, medium, or large values in a time series, thereby disentangling their respective contributions to stability. Our framework unifies and generalizes classical measures: the case q=1 links to Shannon entropy, reflecting MacArthurs 1955 stability concept; q=2 connects to the conventional CV-based measure. Unlike these traditional metrics, our approach explicitly accounts for the number of data values (i.e., time points), adjusting for time-series-length effects to enable fair and meaningful comparisons across datasets of varying lengths. We extend the framework to hierarchical structures by developing additive and multiplicative decompositions of stability in a metacommunity (or metapopulation) into alpha and beta components. The beta component can be further used to obtain measures that quantify (a)synchrony among communities (or populations). For q=2, the resulting (a)synchrony measure provides a mathematically rigorous, CV-based metric. The proposed measures are illustrated using 22-year biomass time series data from the Jena Experiment in Germany. We developed the R package iSTAY (information-based stability measures) and online tools for computation and visualization. Our measures are adaptable to other functions beyond biomass and are applicable in both temporal and spatial contexts. Open Research StatementThe original biomass data of the Jena Experiment, covering the years 2003 to 2023, can be retrieved from https://jexis.idiv.de/ddm/Data/ShowData/624, while the 2024 data are available at https://jexis.idiv.de/ddm/Data/ShowData/695. These datasets, along with the R code used in this study, are currently accessible on Github at https://github.com/AnneChao/MS_iSTAY for review purposes and will be archived on Zenodo upon journal acceptance.

ecology↗

bioRxiv2025

Mutations in VPS18 lead to a neutrophil maturation defect associated with disturbed vesicle homeostasis

Neutrophils, the first cells to arrive at the site of inflammation, are rather short-lived cells and thus have to be constantly replenished. During neutrophil development, vesicle dynamics need to be fine-tuned and impaired vesicle trafficking has been linked to failure in neutrophil maturation. Here, we characterized the role of VPS18 as a central core component of CORVET & HOPS tethering complexes for neutrophil development. Using CRISPR/Cas9-engineered Hoxb8 cells with heterozygous mutations in Vps18, we found that VPS18 deficiency interfered with neutrophil development due to tethering complex instability. As a result, vesicle dynamics were impaired with a strong increase in LC3-II and p62 levels, indicating autophagosome accumulation and reduced autophagic flux. With transmission electron microscopy, we verified the increase in autophagosomes and also found irregularly shaped vesicular structures in Vps18 mutants. Subsequently, Vps18 mutant neutrophil progenitors underwent premature apoptosis. We described a novel patient with a heterozygous stop-gain mutation in VPS18 suffering from neutropenia and recurrent infections. To verify our findings in the human system, we used human induced pluripotent stem cells (iPSCs). Upon differentiation into neutrophils, loss of VPS18 resulted in an almost complete absence of iPSC-derived developing neutrophils. Heterozygous VPS18 mutant and patient mutation-harboring iPSCs were characterized by strongly reduced numbers of developing neutrophils. Zebrafish larvae with heterozygous mutations in vps18 were also characterized by significantly reduced neutrophil numbers. This study shows the pivotal impact of VPS18 for adequate vesicle dynamics during neutrophil development which might be relevant in the context of vesicle trafficking during granulopoiesis and congenital neutropenia.

physiology↗

bioRxiv2025

SCAMP3 is essential for proper formation and function of neutrophil granules

Host defense functions of neutrophils during infection critically depend on microbicidal and proteolytic proteins stored in primary, secondary and tertiary granules that are released into the phagosome or into the extracellular space upon degranulation. Granules are generated during granulopoiesis and impaired granule production or granule protein sorting has been linked to inefficient pathogen clearance resulting in recurrent bacterial and fungal infections. Here, we studied the role of the membrane protein secretory carrier associated membrane protein 3 (SCAMP3) for neutrophil defense functions. We generated Scamp3 knockout (KO) Hoxb8 cells and found that killing of Escherichia coli by Scamp3 KO Hoxb8 cell-derived neutrophils (dHoxb8 cells) was compromised as compared to control dHoxb8 cells in vitro. Mass spectrometric and Western blot analyses revealed a significant reduction of primary, secondary, and tertiary granule proteins in the genetic absence of Scamp3, resulting in a reduced overall granularity of these cells. Accordingly, degranulation was reduced in Scamp3 KO dHoxb8 cells compared to control dHoxb8 cells. Similarly, SCAMP3 deficiency in zebrafish resulted in reduced neutrophil granularity in comparison to wild-type animals. However, neutrophil migration towards sites of E. coli infection was unaffected in scamp3 KO zebrafish larvae. In summary, SCAMP3 represents an important novel player in granule equipment and degranulation, with key functions in neutrophil defense mechanisms during host-pathogen interactions in vitro. Brief summary sentence: The membrane protein secretory carrier associated membrane protein 3 (SCAMP3) is essential for proper protein equipment of neutrophil granules and Scamp3-deficient neutrophils have an impaired bacterial killing capacity in vitro.

physiology↗

bioRxiv2025

Swiprosin-1/EFhd2 promotes mitochondrial spare capacity in response to immobilized antigen in B cells via microtubule stabilization

B cells can recognize soluble and membrane bound antigens, enabling them to initiate and execute versatile immune responses. This study examines Swiprosin-1/EFhd2 (EFhd2) in regulating mitochondrial function and organization in B cells during B cell receptor (BCR) activation and immune synapse formation. Using EFhd2 knockout (KO) and wild-type (WT) murine B cells, we assessed mitochondrial abundance, membrane potential, and respiratory capacity using soluble anti-IgM and anti-CD40/IL-4 stimulation. EFhd2KO B cells exhibit more functional mitochondria and mitochondrial spare capacity selectively in activated but not in resting cells. This phenotype changed absolutely upon BCR synapse formation: While activated WT B cells enhance basal mitochondrial respiration, ATP production and maximal respiration, with large increments of spare capacity, EFhd2KO B cells fail completely to do so. Actin depolymerization and microtubule destabilization impair functional mitochondrial upregulation in WT but not in EFhd2KO B cells, while microtubule stabilization restores full spare capacity in EFhd2KO B cells at the BCR synapse. Live-cell imaging reveals that EFhd2KO B cells fail to organize mitochondria, microtubules, and BCRs symmetrically. Super-resolution 3D imaging shows that WT B cells condense mitochondria at the synapse, whereas EFhd2KO B cells display dispersed, unorganized mitochondria and BCR clusters. EFhd2 re-expression restores mitochondrial polarization in EFhd2KO B cells, confirming its role in coordinating mitochondrial positioning. These findings highlight EFhd2 as a key integrator of cytoskeletal and mitochondrial functions for optimal B cell responses to membrane bound antigens. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=174 HEIGHT=200 SRC="FIGDIR/small/637645v1_ufig1.gif" ALT="Figure 1"> View larger version (52K): org.highwire.dtl.DTLVardef@1844c37org.highwire.dtl.DTLVardef@a7b9eaorg.highwire.dtl.DTLVardef@19ec265org.highwire.dtl.DTLVardef@1eca7fb_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Weak evidence for heritable changes in response to selection by aphids in Arabidopsis accessions

In plants, transgenerational inheritance of certain epialleles has been observed but experimental evidence for selection of epigenetic variation independent of genetic variation is scarce. We extended an experiment simulating selection in response to herbivory in Arabidopsis thaliana to assess a potential contribution of epigenetic variation to the selected phenotypes within three accessions. To minimize maternal effects, we grew offspring from replicate populations and their ancestors for two generations in a common environment and assessed the phenotypes in the second generation. We found weak evidence for the selection of epigenetic variation: bolting time differed significantly in one accession. Significant differences between maternal lines suggested random residual or novel genetic and/or epigenetic variation. Our results are in conflict with those of a recent study reporting that environment-induced heritable variation is common in Arabidopsis. Reanalyzing the data from that study showed that the reported findings resulted from a mix-up of accessions and, thus, reflected genetic rather than epigenetic variation between accessions. To avoid future misinterpretations of studies investigating epigenetic inheritance, we provide guidelines to design experiments that clearly differentiate between epigenetic and genetic variation and distinguish standing variation from de novo variation acquired during an experiment.

evolutionary biology↗

bioRxiv2024

Amyloid Beta Precursor Protein contributes to brain aging and learning decline in short-lived turquoise killifish (Nothobranchius furzeri)

Brain aging is a key risk factor for many neurodegenerative diseases, yet its molecular and cellular mechanisms remain elusive. Amyloid-beta precursor protein (APP) is among the most studied proteins linked to brain pathology; however, its role in non-pathological brain aging remains poorly characterized. Here, we investigate the natural impact of APP on normal brain aging using the short-lived turquoise killifish (Nothobranchius furzeri), which exhibits rapid and spontaneous age-related decline. We found that a pyroglutamated APP derivative (APPpE11) accumulates intra-neuronally in an age-dependent manner, co-localizing with a marker of cell death. We found that intraneuronal APPpE11 is also present in brains from healthy elderly humans, suggesting deep evolutionary conservation. To determine APPs role in spontaneous brain aging, we knock-out "amyloid precursor protein a" (appa) in killifish via CRISPR/Cas9. The lack of appa mitigated brain aging from a proteome-wide perspective, reduced age-related cell death and inflammation, and improved neuronal activity and learning capacity in aged individuals. Our findings show an ancestral and previously unrecognized role of amyloid-beta precursor protein in non-pathological brain aging, making it an ideal target for anti-aging interventions.

neuroscience↗

bioRxiv2024

Selection shapes plant performance in a grassland biodiversity experiment

O_LIThe increasing strength of positive biodiversity effects on plant community productivity in long-term biodiversity experiments has been shown to be related to mixed responses at species level. However, it is still not well understood if the varying environments in plant communities with different diversity also exert different selection pressures to which plant species respond adaptively or whether their responses are mainly due to phenotypic plasticity. C_LIO_LIWe conducted a transplant experiment for nine plant species in a 17-year-old grassland biodiversity experiment (Jena Experiment). We used offspring of plants selected in communities with different diversity or from plants which did not experience selection in the experiment (naive). In a Community History Experiment, offspring of selected plants were planted in three test environments: their original plant communities with original soil, newly assembled plant communities with original soil, and newly assembled plant communities with new soil. Additionally, in a Selection Experiment we compared the performance of selected plants grown in their original environment to the performance of naive plants grown in the same environment. C_LIO_LIIn all test environments, increasing species richness was on average associated with a decrease in plant individual biomass, reproductive output, relative growth rate, plant height, leaf greenness, and leaf nitrogen (N) concentration and an increase in SLA. C_LIO_LIIn the Community History Experiment survival was lower, while plant height, SLA, leaf N and C concentrations were highest in the test environment without plant and soil history. In high-diversity communities, individuals produced more biomass, grew taller and had higher leaf greenness in the original environment than in the other test environments. C_LIO_LIIn the Selection Experiment selected plants had weaker decline in their biomass, taller stature, and higher leaf C and N concentrations than C_LIO_LInaive plants with increasing species richness. C_LIO_LIIn both experiments, we found evidences of adaptive phenotypic responses. Specifically, in high-diversity communities, selected plants showed higher performance in their original environment, largely explained by plant community history and positive plant-soil feedbacks established over time. C_LIO_LISynthesis: Our study highlights the important role of eco-evolutionary feedbacks of species diversity, which affect plant performance over time. C_LI

ecology↗

bioRxiv2024

Desmodium Volatiles in "Push-Pull' Agriculture and Protection Against the Fall Armyworm, Spodoptera frugiperda

Push-pull systems for sustainable pest management combine repellent stimuli from intercrops ("push") and attractive stimuli from border plants ("pull") to repel herbivorous insects from a main crop and attract the herbivores natural enemies. The most widespread implementation, intercropping the legume Desmodium with maize surrounded by border grass, reduces damage from the invasive fall armyworm (FAW) Spodoptera frugiperda. However, the three publications to date investigating underlying mechanisms disagree about the role of the Desmodium intercrop and whether it emits volatiles that repel FAW. Here, we synthesize knowledge on the effects of maize-Desmodium push-pull on FAW, report volatiles from two commonly used Desmodium species: Desmodium intortum and D. incanum, and test whether these affect the behavior of gravid FAW moths in bioassays. We detected 25 volatiles from field-grown Desmodium, many in the headspaces of both species, including volatiles previously reported to repel lepidopteran herbivores. In cage oviposition assays, FAW moths preferred to oviposit on maize over Desmodium, but not on maize further from, versus closer to Desmodium plants that were inaccessible to the moths, but sharing the air. In flight tunnel assays, moths approached the headspace of maize more than the shared headspace of maize and Desmodium, but pairwise differences were often insignificant. Thus, headspaces of Desmodium species include volatiles that could repel FAW moths, and gravid moths were generally more attracted to maize and its headspace than to either Desmodium species or mixed maize-Desmodium headspaces. However, our results indicate that volatiles from Desmodium are not sufficient to explain reduced FAW infestation of maize under push-pull cultivation.

ecology↗

bioRxiv2024

The potential of undersown species identity vs. diversity to manage disease in crops

O_LIIn the absence of chemical control with its negative side effects, fungal pathogens can cause large yield losses, requiring us to develop agroecosystems that are inherently disease resistant. Grassland biodiversity experiments often find plant species diversity to reduce pathogen pressure, but whether incorporating high biodiversity levels in agricultural fields have similar effects remains largely unknown. C_LIO_LIWe tested if undersown plant species diversity could reduce barley disease, and whether the effect was mediated through above- or belowground mechanisms, by combining an agricultural field trial with a soil transplant experiment. C_LIO_LIAs predicted, barley disease decreased in the presence of undersown plants. Undersown species richness had no effect, but their abundance led to early season disease reduction. Aboveground mechanisms underpinned this disease reduction. Barley yield slightly decreased with increasing undersown species richness, and undersown species varied in their impact on yield. C_LIO_LIWe identified two undersown species with similar functional traits that contributed most to disease reduction and had the potential to increase barley yield. Furthermore, our results indicate that aboveground mechanisms caused this. We show that agroecosystem functioning can be improved without trade-offs on yield by targeted selection of undersown species. C_LI

ecology↗

bioRxiv2023

The COMBO window: A chronic cranial implant for multiscale circuit interrogation in mice

Neuroscientists studying the neural correlates of mouse behavior often lack access to the brain-wide activity patterns elicited during a specific task of interest. Fortunately, large-scale imaging is becoming increasingly accessible thanks to modalities such as Ca2+ imaging and functional ultrasound (fUS). However, these and other techniques often involve challenging cranial window procedures, and are difficult to combine with other neuroscience tools. We address this need with an open-source 3D-printable cranial implant - the COMBO (ChrOnic Multimodal imaging and Behavioral Observation) window. The COMBO window enables chronic imaging of large portions of the brain in head-fixed mice while preserving orofacial movements. We validate the COMBO window stability using both brain-wide fUS and multi-site two-photon imaging. Moreover, we demonstrate how the COMBO window facilitates the combination of optogenetics, fUS and electrophysiology in the same animals to study the effects of circuit perturbations at both the brain-wide and single-neuron level. Overall, the COMBO window provides a versatile solution for performing multimodal brain recordings in head-fixed mice.

neuroscience↗

bioRxiv2023

Tree diversity increases forest temperature buffering

Global warming is increasing the frequency and intensity of climate extremes. Forests may buffer such extreme events by creating their own microclimate below their canopy via cooling hot and insulating against cold macroclimate air temperatures. This buffering capacity of forests may be increased by tree diversity and may itself maintain forest functioning and biodiversity. However, despite its relevance for many ecosystem processes, the effect of tree diversity on temperature buffering is largely unexplored. Here, we show that tree species richness consistently increases forest temperature buffering across daily, monthly, and annual scales over six years. This finding is based on data from a large-scale tree diversity experiment covering a species richness gradient of 1 to 24 tree species. We found that species richness strengthened both components of forest temperature buffering: the attenuation of hot and of cold macroclimate air temperatures, with the cooling effect being more pronounced. The buffering effect of tree species richness was mediated by canopy density and structural diversity, assessed as leaf area index and stand structural complexity index, respectively. Safeguarding and planting diverse forests may thus mitigate negative effects of global warming and climate extremes on ecosystem functions and communities below the tree canopy.

ecology↗

bioRxiv2023

Inferring genetic structure of European beech from observations of spectral phenotypes

Biodiversity loss presents a growing threat to the global environment, and systematic and spatially contiguous monitoring is needed to inform mitigation strategies. Monitoring of genetic diversity within species, a key factor when assessing biodiversity loss, is laborious and could be supported by scalable phenotypic observations allowing inferences about genetic variation. We studied genetic and phenotypic variation in one of Europes most prevalent forest-forming trees, the common beech Fagus sylvatica L., using whole-genome sequence data and spectral phenotypes from 219 individuals at 23 sites across the species natural range. Spectral phenotypes were collected under standardized illumination and observation conditions from the same top-of-canopy leaves used for nuclear DNA extraction. We found that spectral and environmental information accounted for 77% of the variance along the first two principal coordinates representing genetic structure among sampled individuals, where spectral phenotypes contributed 12% to the prediction of genetic structure. Further, we identified 14 SNPs (single nucleotide polymorphisms), of which two were located within annotated genes, that showed significant associations with variation in leaf reflectance. Our study demonstrates how linking spectral and genomic variation in tree species may be upscaled to the remote observations to support monitoring, understanding and mitigating loss of genetic diversity within species.

plant biology↗