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Geology topics

Kristian Meissner

Publications and source records attributed to Kristian Meissner.

2 recordsLinked to original sources

Human activities shape global patterns of decomposition rates in rivers

Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose decomposition rates, when combined with genus-level litter quality attributes, explain published leaf litter decomposition rates with high accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth and reveals rapid decomposition across continental-scale areas dominated by human activities.

Science

Environmental DNA

The widespread adoption of environmental DNA (eDNA) detection tools for biodiversity monitoring has led to the need for universal data standards to inform principled eDNA data applications. Improvements in understanding the meaning and possible uncertainty of eDNA data can minimize erroneous conclusions, increase confidence in eDNA data, and maximize conservation outcomes. -Environmental DNA (eDNA) is the genetic material left by organisms in the environment. -eDNA is increasingly being used to detect the presence of species and assess biodiversity, but broad-scale best practices are still being developed. -This affects the quality, accessibility, and usefulness of data. -Non-invasive eDNA sampling can complement or enhance conventional approaches, as it can be a highly sensitive, rapid, and cost-effective tool for biodiversity monitoring. -Creating unified eDNA data best practices and developing DNA reference libraries will ensure eDNA detection methods are applied consistently to accurately inform conservation and wildlife management.

Report