bioRxiv Science⌕ Search

bioRxiv · 10.1101/2024.05.12.593768

Proving a negative; estimating species 'Confidence in Absence for Decision-Making' (CIADM) using environmental DNA monitoring

Abstract

O_LIPolicy-driven decision-making is an important aspect of environmental management globally, often focused on protecting priority species. However, declining trends in freshwater biodiversity have resulted in a lack of up-to-date knowledge regarding the distribution of rare and elusive species. Furthermore, when dealing with priority species, it is sometimes more important to provide a confident assessment of absence, than merely confirm their presence. Without such confident assessments, resource intensive management plans may be misplaced, and not adequately targeted to conserve important remaining populations. C_LIO_LIHere, we present a framework to estimate confidence in absence, referred to as "Confidence in Absence for Decision-Making" (CIADM), based on single-visit environmental DNA metabarcoding data obtained from water samples. It uses a case study of European eel presence / absence upstream of 44 water pumping stations, given their critically endangered status and the legislative drivers for remediation (EC Eel Regulation 1100/2007, Eels (England and Wales) Regulation 2009). Through a high degree of biological (sample) and technical (PCR) replication, we retrospectively assigned confidence in absence values and proposed various strategies to achieve the required confidence levels in future surveys. C_LIO_LIOur findings indicate that 17 out of 44 pumping stations tested positive for eel, and we were able to assign a >99% confidence level that the remaining 27 sites were negative for eel DNA at the time of sampling. Increasing both biological and technical replication increased confidence in absence values. For example, using three PCR replicates per sample, required four replicate biological samples to achieve >95% and six to achieve >99% confidence in eel absence given non-detection. However, we estimate that by using seven PCR replicates per sample a >99% confidence in eel absence following non-detection could be achieved with only three replicate biological samples. Furthermore, we found that eel positive sites had significantly higher species richness, and fish communities differed between eel positive and eel negative sites. C_LIO_LIThis study highlights the importance of optimising workflow specific replication, and provides an adaptable framework to produce confidence estimations of priority species absence given non-detection. C_LI

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Griffiths, N. P., Hänfling, B., Cattaneo, M., Wright, R. M., Macarthur, J. A., Peixoto, S., Bolland, J. D.. 2024-05-14. Proving a negative; estimating species 'Confidence in Absence for Decision-Making' (CIADM) using environmental DNA monitoring. https://doi.org/10.1101/2024.05.12.593768

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

A leaf-carbon economy model to explain the adaptive value of low vs. high leaf mass per area as a function of habitat productivity

Plant traits interact with environmental conditions to determine plant fitness. In particular, plant species with low leaf mass per area (LMA) are more common in high fertility soils and forest gaps, while plant species with high LMA are more common in low fertility soils and in shaded forest understories. It is not yet known why the adaptive value of LMA changes as a function of environmental productivity. We present a model for plant growth as a function of LMA and productivity. Our model relies on an empirically derived relationship between LMA and leaf lifespan. We are able to explain why species with lower LMA are successful in high productivity environments including environments with high availability of either light or soil nutrients, by showing that the LMA which maximizes growth rate decreases with increasing rate of carbon assimilation. We show that low LMA species are better at taking advantage of the 'high interest' environment of high productivity habitats by reinvesting assimilated carbon in new leaves and earning compound interest, while high LMA species grow more efficiently in the 'low interest' environment of low productivity habitats. This tradeoff sheds light on the adaptive value of LMA as it relates to environmental productivity.

ecology↗

Species differentiate water uptake depths within a narrow vertical zone in temperate grasslands

Whether and under which conditions coexisting species in temperate grasslands differentiate their water uptake within the shallow soil layer they share is central to understanding hydrological niche differentiation in these ecosystems. In this field study, we quantified water uptake depth of 28 coexisting herbaceous species across 74 temperate grassland plots in three regions of Germany using oxygen stable isotopes and soil water content measured at multiple depths. Species consistently differed in water uptake depth across all regions, consistent with hydrological niche differentiation. This differentiation was largely confined to the upper 30 cm of soil and became stronger as overall soil moisture declined, with plants accessing water at greater depths in drier plots. In contrast, the vertical distribution of soil moisture was unrelated to either uptake depth or species differentiation. Despite pronounced species level variation, broad herbaceous functional classifications, including grasses versus forbs and fibrous versus taprooted species, showed substantial overlap in water uptake depth. Together, our results show that hydrological niche differentiation in temperate grasslands is expressed through fine scale differences among species within a shared shallow soil domain, becomes more pronounced under drier conditions, and is poorly captured by broad herbaceous functional classifications.

ecology↗

Fungal-bacterial interactions enhance bacterial but constrain fungal resistance and recovery to extreme heat across soil moisture levels

Soil fungi and bacteria are key drivers of nutrient cycling and plant productivity in terrestrial ecosystems, yet their responses to climate extremes are rarely studied as interacting partners rather than in isolation. Moreover, it remains largely unknown how fungal-bacterial interactions regulate fungal and bacterial stability under climate extremes, particularly resistance (immediate responses to climate extremes) and recovery (responses after climate extremes cease). Here, we conducted a soil microcosm experiment with a bacterial species (Pseudomonas putida KT2440) paired with one of four Trichoderma species (T. hamatum, T. atroviride, T. koningiopsis, and T. harzianum). These fungal-bacterial pairs were then exposed to a 5-day heat event (40 {degrees}C/32 {degrees}C, day/night) followed by a 14-day recovery period (25 {degrees}C/17 {degrees}C, day/night), at two soil moisture levels (30% and 5% gravimetric water content). Our results show that fungal-bacterial interactions asymmetrically affect fungal and bacterial responses to extreme heat. Trichoderma species facilitated the resistance and recovery of P. putida density (CFUs) to extreme heat, whereas P. putida constrained the resistance and recovery of fungal biomass (ergosterol) to extreme heat, regardless of soil moisture conditions. Moreover, faster-growing Trichoderma species were associated with greater facilitation of bacterial resistance and recovery. Bacterial density also covaried positively with fungal biomass during heat stress under both soil moisture conditions, suggesting that net fungal facilitation enhances bacterial persistence under extreme heat. Together, our findings reveal that fungal-bacterial interactions can stabilize one microbial partner while increasing the vulnerability of the other, highlighting the contrasting consequences of biotic interactions under climate extremes.

ecology↗