Erik Kusch

Erik Kusch
Aarhus University | AU · Department of Bioscience

PhD Student

About

4
Publications
1,046
Reads
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8
Citations
Introduction
I am a macroecologist specialised in remote sensing applications and spatio-temporal analyses of biodiversity dynamics. I use quantitative tools to research ecosystem resilience, vegetation dynamics, and patterns of landscape-scale biodiversity to understand past, present, and future trajectories of natural ecosystems.
Additional affiliations
August 2017 - August 2019
University of Leipzig
Position
  • Research Assistant
Description
  • Analysing primate odour profiles; assessing a variety of statistical methods for analytical power in identifying odour effects; tutoring students on biostatistics.
May 2017 - July 2017
Senckenberg Research Institute
Position
  • Research Assistant
Description
  • Sorting benthos samples and meiofauna taxa; researching trophic networks between Antarctic meio- and macrobenthos over time via stable isotope analyses.
March 2017 - April 2017
University of Leipzig
Position
  • Research Assistant
Description
  • Analysing primate odour profiles; assessing a variety of statistical methods for analytical power in identifying odour effects, generating data with various implemented odour effects on which to test the methods.
Education
August 2017 - July 2019
University of Bergen
Field of study
  • Biology (Biodiversity, Ecology, Evolution)
August 2016 - February 2017
University of Bergen
Field of study
  • Biology
August 2015 - December 2015
University of Bergen
Field of study
  • Biology

Publications

Publications (4)
Article
Full-text available
Advances in climate science have rendered obsolete the gridded observation data widely used in downstream applications. Novel climate reanalysis products outperform legacy data products in accuracy, temporal resolution, and provision of uncertainty metrics. Consequently, there is an urgent need to develop a workflow through which to integrate these...
Article
Full-text available
1. Vegetation memory describes the effect of antecedent environmental and ecological conditions on the present ecosystem state and has been proposed as an important proxy for vegetation resilience. In particular, strong vegetation‐memory has been identified in dryland regions, but the factors underlying the spatial patterns of vegetation memory rem...
Preprint
The ecological sciences have joined the big data revolution. However, despite exponential growth in data availability, broader interoperability amongst datasets is still needed to unlock the potential of open access. The interface of demography and functional traits is well-positioned to benefit from said interoperability. Trait-based ecological ap...
Article
Full-text available
There is an increasing need for high spatial and temporal resolution climate data for the wide community of researchers interested in climate change and its consequences. Currently, there is a large mismatch between the spatial resolutions of global climate model and reanalysis datasets (at best around 0.25 o and 0.1 o respectively) and the resolut...

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Projects

Projects (4)
Project
Throughout this project, we aim to establish an understanding of what drives certain expressions of vegetation memory (both intrinsic and extrinsic). To this end, we will be investigating: (1) abiotic regimes, (2) plant function, and (3) life histories.
Project
This is my PhD project. Throughout this three-year program, I am assessing the efficacy of different species-dependency network approaches using a multitude of data sets at different spatial extents and of varying data quality. This will lead to an improved understanding of extinction debt within and across trophic levels of species networks on local and global scales.
Project
We aim to deliver an R-integrated workflow for downloading and downscaling of spatial products of the Era5-family to facilitate the use of state-of-the-art climate reanalysis data in biological applications.