Preprints

Filtering by Subject: Research Methods in Life Sciences

Correlative Microscopy: a tool for understanding soil weathering in modern analogues of early terrestrial biospheres

Ria Mitchell, Peter Davies, Paul Kenrick, Tobias Volkenandt, Cameron Pleydell-Pearce, Richard Johnston

Published: 2021-03-18
Subjects: Biogeochemistry, Geology, Paleobiology, Plant Sciences, Research Methods in Life Sciences, Sedimentology, Soil Science

Correlative imaging provides a method of investigating complex systems by combining analytical (chemistry) and imaging (tomography) information across dimensions (2D-3D) and scales (centimetres-nanometres). We studied weathering processes in a modern cryptogamic ground cover (CGC) from Iceland, containing early colonizing, and evolutionary ancient, communities of mosses, lichens, fungi, and [...]

An open, scalable, and flexible framework for automated aerial measurement of field experiments

Christophe Schnaufer, Julian Pistorius, David Shaner LeBauer

Published: 2020-05-25
Subjects: Agricultural Science, Agriculture, Bioresource and Agricultural Engineering, Ecology and Evolutionary Biology, Engineering, Life Sciences, Plant Breeding and Genetics Life Sciences, Plant Sciences, Research Methods in Life Sciences, Terrestrial and Aquatic Ecology

Unoccupied areal vehicles (UAVs or drones) are increasingly used in field research. Drones capable of routinely and consistently capturing high quality imagery of experimental fields have become relatively inexpensive. However, converting these images into scientifically useable data has become a bottleneck. A number of tools exist to support this workflow, but there is no framework for making [...]

Realistic and simplified models of plant and leaf area indices for a seasonally dry tropical forest

Rodrigo de Queiroga Miranda, Rodolfo Luiz Bezerra Nóbrega, Magna Soelma Beserra de Moura, Raghavan Srinivasan, Josiclêda Domiciano Galvíncio

Published: 2019-08-07
Subjects: Civil and Environmental Engineering, Desert Ecology, Ecology and Evolutionary Biology, Engineering, Environmental Engineering, Forest Management, Forest Sciences, Life Sciences, Plant Sciences, Research Methods in Life Sciences

Leaf Area Index (LAI) models that consider all phenological stages have not been developed for the Caatinga, the largest seasonally dry tropical forest in South America. LAI models that are currently used show moderate to high covariance when compared to in situ data, but they often lack accuracy in the whole spectra of possible values and do not consider the impact that the stems and branches [...]

  • 1 
search

You can search by:

  • Title
  • Keywords
  • Author Name
  • Author Affiliation