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Biology subjects

Richardson, C. J.

Publications and source records attributed to Richardson, C. J..

2 recordsLinked to original sources

Vegetation and Microbes Interact to Preserve Organic Matter in Wooded Peatlands

Peatlands have persisted as massive carbon sinks over millennia, even during past periods of climate change. The commonly accepted theory of abiotic controls (mainly anoxia and low temperature) over carbon decomposition cannot explain how vast low-latitude wooded peatlands consistently accrete peat under warm and seasonally unsaturated conditions. Similarly, that theory cannot accurately project the decomposition rate in boreal peatlands where warming and drought have decreased Sphagnum and increased shrub expansion. Here, by comparing composition and ecological traits of microbes between Sphagnum- and shrub-dominated peatlands, we present a previously unrecognized natural course that curbs carbon loss against climate change. Slow-growing microbes decisively dominate the studied wooded peatlands, concomitant with plant-induced, high recalcitrant carbon and phenolics. The slow-growing microbes inherently metabolize organic matter slowly. However, the fast-growing microbes that dominate our Sphagnum site (most boreal peatlands as well) decomposed labile carbon >30 times faster than the slow-growing microbes. We show that the high-phenolic shrub/tree induced shifts in microbial composition may compensate for positive effects of temperature and/or drought on metabolism over time in peatlands. This biotic self-sustaining process that modulates abiotic controls on carbon cycling may help better project long-term climate-carbon feedbacks in peatlands.

ecology

Computational Correction of Spatially-Variant Optical Aberrations in 3D Single Molecule Localization Microscopy

3D single-molecule localization microscopy relies on fitting the shape of point-spread-functions (PSFs) recorded on a wide-field detector. However, optical aberrations distort those shapes, which compromise the accuracy and precision of single-molecule localization microscopy. Here we employ a computational phase retrieval based on a vectorial PSF model to quantify the spatially-variance of optical aberrations in a two-channel ultrawide-field single-molecule localization microscope. The use of a spatially-variant PSF model enables accurate and precise emitter localization in x, y- and z-directions throughout the entire field-of-view.\n\nOCIS Codes(100.6640) Superresolution; (180.2520) Fluorescence microscopy; (180.6900) Three-dimensional microscopy; (100.5070) Phase retrieval; (150.1135) Algorithms; (220.1010) Aberrations (global).

biophysics