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Andjin Siegenthaler on Muck Rack

Andjin Siegenthaler

As seen in: Taylor & Francis Online
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Articles

Predicting soil microbial alpha diversity at the landscape scale using LiDAR-derived variables

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By Devara P. Adiningrat, Haidi Abdullah, Andjin Siegenthaler
| Taylor & Francis Online
ABSTRACT Soil microbial communities serve as key mediators of biophysical and biochemical processes. Their interactions with roots and other soil organisms shape belowground diversity and ecosystem responses to environmental change. Despite their importance, mapping soil microbial diversity remains challenging due to measurement complexity, particularly at large spatial extents.
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eDNA biodiversity from space: predicting soil bacteria and fungi alpha diversity in forests using DESIS satellite remote sensing

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By Andrew K. Skidmore, Haidi Abdullah, Andjin Siegenthaler, Tiejun Wang
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Environmental DNA (eDNA) allows thousands of microbiological taxonomic units to be identified from a small amount of environmental matrix, e.g. soil, a leaf or water.
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