Biology subjects

Ehrich, D.

Publications and source records attributed to Ehrich, D..

6 recordsLinked to original sources

bioRxiv2025

Capture probe, metabarcoding, or shotgun sequencing: which best reflects local vegetation?

O_LIMetabarcoding is the most widely applied method for studying plant communities using environmental DNA, with shotgun sequencing and capture probes being alternative methods. Any methods ability to detect and correctly identify plant taxa may vary with DNA preservation, DNA reference library and the size of the local flora, making it difficult to compare results from different environments. C_LIO_LIHere we compare these methods using lake surface-sediments from Northern Fennoscandia with the PhyloNorway genome skim reference library (1500 taxa) that includes almost all species of the regional flora. We also undertook vegetation surveys from around the lakes to estimate the true positive detection rate, identify false positive detections, and provide optimal filtering cut-off thresholds for the three methods. C_LIO_LIOptimal filter cutoffs were one PCR replicate and 3 reads for metabarcoding, and 3.2x10e-6 and 5.6x10e-6 of queried reads, respectively, for the shotgun and capture probe data. Applying these thresholds, the rate of false positives was too high for reliable identification at species level based on shotgun (49%) and capture probes (62%), whereas it was low for metabarcoding (5-12%). All methods were reliable at genus and family levels after applying the optimal filtering thresholds (<4% false positives). Our results show that metabarcoding on average detects 2.1 times as many true positive taxa as shotgun sequencing, and 6.4 times as many taxa as capture probes. Proportions of filtered metabarcoding and shotgun reads were significantly related to abundance categories from vegetation surveys, but this was not the case for capture probe data. C_LIO_LIWe expect the false positive rate of shotgun sequencing to decrease with increasing genome completeness in the reference libraries, and be advantageous for highly degraded DNA with fragments too short for metabarcoding. At present, metabarcoding provides the highest detectability and taxonomic resolution for correct identification of vascular plants. C_LI

ecology↗

bioRxiv2024

Forbs in Viking lands: The effect of disturbing dominant graminoids on forb recruitment in tundra grasslands.

Certain graminoids can be successful in grasslands to the extent it is a phenomenon called "the Viking Syndrome". Nevertheless, forbs also make up a substantial part of vascular plant diversity in grasslands and are important resources of mammalian herbivores. Here we assess the hypothesis that forb recruitment is constrained by dominant graminoids, limiting access to safe sites for germination. We report on a disturbance experiment of plots with four different graminoid species in tundra grasslands of the Varanger Peninsula, Norway. Plots were selected to sample both rodent-disturbed and undisturbed areas. The dominant graminoids in each plot were removed, reducing their shading capabilities and belowground rhizome and root systems. Results show that forb recruitment one year following disturbance was significantly enhanced by manual graminoid removal. Dominant graminoid type, small rodent disturbance, initial forb abundance, and abiotic conditions had no effect on forb recruitment, whereas initial species richness had a positive relationship. Furthermore we found that manual disturbance had low impact on the species exchange ratio based on richness (SERr), suggesting that disturbance did not reduce the capacity of species to reside and move within the grassland. Our findings support the hypothesis that forb recruitment is limited by dominant graminoids.

plant biology↗

bioRxiv2023

Ocean-scale variation in migration schedules of a long-distance migratory seabird is fully compensated upon return to the breeding site

BackgroundMigratory birds generally have tightly scheduled annual cycles, in which delays can have carry-over effects on the timing of later events, ultimately impacting reproductive output. Whether temporal carry-over effects are more pronounced among migrations over larger distances, with tighter schedules, is a largely unexplored question. MethodsWe tracked individual Arctic Skuas Stercorarius parasiticus, a long-distance migratory seabird, from eight breeding populations between Greenland and Siberia using light-level geolocators. We tested whether migration schedules among breeding populations differ as a function of their use of seven widely divergent wintering areas across the Atlantic Ocean, Mediterranean Sea and Indian Ocean. ResultsBreeding at higher latitudes led not only to later reproduction and migration, but also faster spring migration and shorter time between return to the breeding area and clutch initiation. Wintering area was consistent within individuals among years; and more distant areas were associated with more time spent on migration and less time in the wintering areas. Skuas adjusted the period spent in the wintering area, regardless of migration distance, which buffered the variation in timing of autumn migration. Choice of wintering area had only minor effects on timing of return at the breeding area and timing of breeding and these effects were not consistent between breeding populations. ConclusionThe lack of a consistent effect of wintering area on timing of return between breeding areas indicates that individuals synchronize their arrival with others in their population despite extensive individual differences in migration strategies.

ecology↗

bioRxiv2023

Long-term responses of Icelandic Arctic foxes to changes in marine and terrestrial ecosystems

The long-term dynamics of predator populations may be driven by fluctuations in resource availability and reflect ecosystem changes such as those induced by climate change. The Icelandic Arctic fox (Vulpes lagopus) population has known major fluctuations in size since the 1950s. Using stable isotopes analysis of bone collagen over a long-time series (1979-2018), we aimed at identifying the main resources used by Icelandic Arctic foxes during periods of growth and decline to assess if the variations in their population size are linked to fluctuations in the availability of resources. We hypothesized that (1) the decline in Seabirds abundance was responsible for the decrease in the fox population; and (2) that the growth in the fox population combined to fluctuations in main resources would lead to an increase in intra-specific competition, ultimately leading to variations in their isotopic niches at the population scale. The isotopic signatures of Arctic foxes as well as their temporal trends differed clearly between inland and coast. Inland foxes showed an overall shift towards more terrestrial preys, whereas coastal foxes displayed a relatively stable use of marine resources over the years. Stable isotopes mixing models suggested that marine resources and rock ptarmigans were the most important food source and highlighted a rather stable diet in coastal habitats compared to inland habitats where more fluctuations in dietary composition were observed. Coastal foxes had a broader niche than inland foxes, and there was more variation in niche size in the inland habitat. Our results are in agreement with a general decline in seabird populations driving the decline in Arctic foxes, especially in coastal habitats. For the inland foxes, our results suggest that the lack of marine resources might have led to an increased use of ptarmigans as well as other terrestrial resources such as geese and waders, especially during the most recent period.

ecology↗

bioRxiv2022

A versatile semiautomated image analysis workflow for time-lapsed camera trap image classification.

O_LICamera trap arrays can generate thousands to millions of images that require exorbitant time and effort to classify and annotate by trained observers. Computer vision has evolved as an automated alternative to manual classification. The most popular computer vision solution is the supervised Machine Learning technique, which uses labeled images to train automated classification algorithms. C_LIO_LIWe propose a multi-step semi-automated workflow that consists of (1) identifying and separating bad-from good-quality images, (2) parsing good images into animals, humans, vehicles, and empty, and (3) cropping animals from images and classifying them into species for manual inspection. We trained, validated, and evaluated this approach using 548,627 images from 46 cameras in two regions of the Arctic (northeastern Norway, and Yamal Peninsula, Russia). C_LIO_LIWe obtained an accuracy of 0.959 for all three steps combined with the complete year test data set at Varanger and 0.922 at Yamal, reducing the number of images that required manual inspection to 7.9% of the original set from Varanger and 3.2% from Yamal. C_LIO_LIResearchers can modify this multi-step process to meet their specific needs for monitoring and surveying wildlife, providing greater flexibility than current options available for image classification. C_LI

ecology↗

bioRxiv2020

Can root-associated fungi mediate the impact of abiotic conditions on the growth of a High Arctic herb?

Arctic plants are affected by many stressors. Root-associated fungi are thought to influence plant performance in stressful environmental conditions. However, the relationships are not transparent; do the number of fungal partners, their ecological functions and community composition mediate the impact of environmental conditions and/or influence host plant performance? To address these questions, we used a common arctic plant as a model system: Bistorta vivipara. Whole plants (including root system) were collected from nine locations in Spitsbergen (n=214). Morphometric features were measured as a proxy for performance and combined with metabarcoding datasets of their root-associated fungi (amplicon sequence variants, ASVs), edaphic and meteorological variables. Seven biological hypotheses regarding fungal influence on plant measures were tested using structural equation modelling. The best-fitting model revealed that local temperature affected plants both directly (negatively aboveground and positively below-ground) and indirectly - mediated by fungal richness and the ratio of symbio- and saprotrophic ASVs. Fungal community composition did not impact plant measurements and plant reproductive investment did not depend on any fungal parameters. The lack of impact of fungal community composition on plant performance suggests that the functional importance of fungi is more important than their identity. The influence of temperature on host plants is therefore complex and should be examined further.

microbiology↗