Developing a continental-scale testate amoeba hydrological transfer function for Asian peatlands

Qin, Yaochen; Li, Hongkai; Mazei, Yuri; Kurina, Irina V.; Swindles, Graeme T.; Bobrov, Anatoly; Tsyganov, Andrey N.; Gu, Yansheng; Huang, Xianyu; Xue, Jinzhuang; Lamentowicz, Mariusz; Marcisz, Katarzyna; Roland, Thomas P.; Payne, Richard J.; Mitchell, Edward A. D.; Xie, Shucheng

doi:10.1016/j.quascirev.2021.106868

Cited by 21 publications

(15 citation statements)

References 72 publications

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“…50 reached were include in water-table depth (WTD) reconstructions. Taxonomic harmonisation was necessary in order to apply the transfer functions based on European, North American, Asian and Holarctic training sites 26 – 28 (Supplementary Datasheet 1 ). The reconstructions were carried out in R version 3.6.1 25 using location-specific transfer functions defined by geographic location of the study site, and different datasets with and without weak silicic idiosomic tests 5 , 29 .…”

Section: Methodsmentioning

confidence: 99%

Recent climate change has driven divergent hydrological shifts in high-latitude peatlands

et al. 2022

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High-latitude peatlands are changing rapidly in response to climate change, including permafrost thaw. Here, we reconstruct hydrological conditions since the seventeenth century using testate amoeba data from 103 high-latitude peat archives. We show that 54% of the peatlands have been drying and 32% have been wetting over this period, illustrating the complex ecohydrological dynamics of high latitude peatlands and their highly uncertain responses to a warming climate.

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Section: Methodsmentioning

confidence: 99%

Recent climate change has driven divergent hydrological shifts in high-latitude peatlands

et al. 2022

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“…The ratio λ 1 /λ 2 of DWT was greater than 1.0, indicating that DWT represents an important ecological gradient in the training set and meets the criterion for a 'useful calibration' (Juggins, 2013). The improved WA.inv model had smaller RMSP and larger R 2 than other models (Table 3), and all the models showed reasonable performance with R 2 > 0.65 and RMSEP < 9.8 cm, which is equivalent to or better than many published diatom/testate amoebabased DWT transfer functions in boreal peatlands (Li et al, 2015;Payne et al, 2012;Ma et al, 2018;Chen et al, 2020;Qin et al, 2021).…”

Section: Performance Of the Transfer Functionmentioning

confidence: 76%

Diatom‐inferred microtopography formation in peatlands

Chen

McGowan

et al. 2021

Earth Surf Processes Landf

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Peatlands, an important carbon pool in terrestrial ecosystems, are often characterised by a hummock-hollow microtopography, which has important implications for hydrologic conditions, biotic community structure and carbon cycling. However, dynamics of microtopography formation are poorly understood. Moss-inhabiting diatoms are sensitive to water table change and may be used to infer microtopography formation.Sixty-three surface moss samples were collected from four Sphagnum peatlands in the Changbai Mountains (north-eastern China), covering a water table gradient of 0-55 cm. Ordination analyses revealed that depth to the water table (DWT) was the determinant of diatom distribution, and its sole effect explained 15% of total variance in diatom composition. Accordingly, a diatom-based water table transfer function was developed using a weighted averaging model with inverse deshrinking (R 2 = 0.82, RMSEP = 5.63 cm with leave-one-out cross validation), and applied to diatom records of a Sphagnum hummock profile. Quantitative reconstruction of

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“…Training sets of modern testate amoebae data are often combined with palaeoecological data using transfer function models to reconstruct past environmental conditions like water‐table depth and pH from peatlands (Amesbury et al, 2016; Lamentowicz et al, 2008; Qin et al, 2021). Adding information from FTs can strengthen and broaden these numerical analyses (Marcisz et al, 2020).…”

Section: Examples Of Palaeoecological Proxiesmentioning

confidence: 99%

Trait‐based approaches as ecological time machines: Developing tools for reconstructing long‐term variation in ecosystems

Brown,

Bunting,

Carvalho

et al. 2023

Functional Ecology

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Research over the past decade has shown that quantifying spatial variation in ecosystem properties is an effective approach to investigating the effects of environmental change on ecosystems. Yet, current consensus among scientists is that we need a better understanding of short‐ and long‐term (temporal) variation in ecosystem properties to plan effective ecosystem management and predict future ecologies. Trait‐based approaches can be used to reconstruct ecosystem properties from long‐term ecological records and contribute significantly to developing understandings of ecosystem change over decadal to millennial time‐scales. Here, we synthesise current trait‐based approaches and explore how organisms' functional traits (FTs) can be scaled across time and space. We propose a framework for reconstructing long‐term variation in ecosystems by means of analysing FTs derived from palaeoecological datasets. We then summarise challenges that must be overcome to reconcile trait‐based approaches with palaeo‐datasets. Finally, we discuss the benefits and limitations of trait‐based reconstructions of ecosystem temporal dynamics and suggest future directions for research. Reconstructing environmental properties through time vis‐à‐vis FTs can be separated into two parts. The first is to record trait data for organisms present in modern ecosystems, and the second is to reconstruct temporal variability in FTs from palaeoecological datasets, capturing changes in trait composition over time. Translating palaeoecological datasets into FTs is challenging due to taphonomic, taxonomic and chronological uncertainties, as well as uniformitarian assumptions. Explicitly identifying and addressing these challenges is important to effectively calculate changes in FT through time. Palaeo‐trait research offers insights into questions related to short‐ and long‐term ecosystem functioning, environmental change and extinction and community assembly rules across time. As work in this area matures, we expect that trait‐based approaches integrating palaeoecology and neo‐ecology will improve understanding of past ecologies and provide a deeper insight of their implications for present‐day and future ecosystem management and conservation. Read the free Plain Language Summary for this article on the Journal blog.

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Developing a continental-scale testate amoeba hydrological transfer function for Asian peatlands

Cited by 21 publications

References 72 publications

Recent climate change has driven divergent hydrological shifts in high-latitude peatlands

Recent climate change has driven divergent hydrological shifts in high-latitude peatlands

Diatom‐inferred microtopography formation in peatlands

Trait‐based approaches as ecological time machines: Developing tools for reconstructing long‐term variation in ecosystems

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