Biography

Hi, my name is Max (he/him/his) and I am a computational ecologist at the Coastal Ecology and Conservation Lab based at University of Michigan. I am interested in ecological modelling and especially in considering the spatial explicit characteristics of most ecological processes.

My research is mainly focused on how we can use spatial patterns to infer the underlying ecological processes. In this context, I use spatial point pattern analysis, individual-based modelling and landscape ecology. Lastly, I am always interested in R programming.

Interests
  • Point pattern analysis
  • Individual-based modelling
  • Landscape ecology
  • R
Education

  • Ph.D. in Ecology, 2020

    University of Goettigen (Goettingen, Germany)

  • M.Sc. in Ecosystem Modelling, 2016

    University of Goettingen, (Goettingen, Germany)

  • B.Sc. in Forestry, 2014

    University of Applied Sciences and Arts, (Goettingen, Germany)

Publications

Mechanistic support for increased primary production around artificial reefs
Understanding factors controlling primary production is fundamental for the protection, management, and restoration of ecosystems. …
Kenzo E. Esquivel, Maximilian H.K. Hesselbarth, Jacob E. Allgeier
PDF Cite Project DOI
Mechanistic support for increased primary production around artificial reefs
shar: an R package to analyze species-habitat associations using point pattern analysis
Studying species-habitat associations is one approach to reveal the importance of abiotic processes in shaping the spatial distribution …
Maximilian H.K. Hesselbarth
PDF Cite Code Project DOI
shar: an R package to analyze species-habitat associations using point pattern analysis
Open-source tools in R for landscape ecology
Landscape ecology, the study of the complex interactions between landscapes and ecological processes, has hugely benefited from the …
Maximilian H.K. Hesselbarth, Jakub Nowosad, Johannes Signer, Laura J. Graham
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Open-source tools in R for landscape ecology
Analysing and modelling spatial patterns to infer the influence of environmental heterogeneity using point pattern analysis, individual-based simulation modelling and landscape metrics
One of the main goals of ecology is to understand processes underlying patterns. Because presumably all ecological processes are …
Maximilian H.K. Hesselbarth
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Analysing and modelling spatial patterns to infer the influence of environmental heterogeneity using point pattern analysis, individual-based simulation modelling and landscape metrics
Alternative quantifications of landscape complementation to model gene flow in Banded Longhorn Beetles [Typocerus v. velutinus (Olivier)]
Rapid progression of human socio-economic activities has altered the structure and function of natural landscapes. Species that rely on …
Richard Borthwick, Alida de Flamingh, Maximilian H.K. Hesselbarth, Anjana Parandhaman, Helene H. Wagner, Hossam E. M. Abdel Moniem
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Alternative quantifications of landscape complementation to model gene flow in Banded Longhorn Beetles [Typocerus v. velutinus (Olivier)]
landscapemetrics: an open‐source R tool to calculate landscape metrics
Quantifying landscape characteristics and linking them to ecological processes is one of the central goals of landscape ecology. …
Maximilian H.K. Hesselbarth, Marco Sciaini, Kimberly A. With, Kerstin Wiegand, Jakub Nowosad
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landscapemetrics: an open‐source R tool to calculate landscape metrics
Density-dependent spatial patterning of woody plants differs between a semi-arid and a mesic savanna in South Africa
Savannas can be defined by the co-dominance of grasses and trees. Interactions between these two life forms are relatively well …
Maximilian H.K. Hesselbarth, Kerstin Wiegand, Niels Dreber, Klaus Kellner, Daniel Esser, Zivanai Tsvuura
PDF Cite Code Project DOI
Density-dependent spatial patterning of woody plants differs between a semi-arid and a mesic savanna in South Africa

Poster/Talks

Introduction to R workshop
Jun 30, 2022 — Jul 1, 2022 Ann Arbor, USA
Slides
Spatial patterns in ecology and what we (hopefully) can learn from them
Mar 18, 2021 Ann Arbor, USA
Slides
Introduction to landscape ecology with R
May 14, 2020 Toronto, Canada (virtually)
Project Slides Video
landscapemetrics. Introducing a new R tool to characterise landscapes
Jul 1, 2019 — Jul 5, 2019 Milano, Italy
PDF Project
A simulation study comparing methods to analyze species-habitat associations of forest trees
Sep 10, 2018 — Sep 14, 2018 Vienna, Austria
PDF Project

Software

Jan 1, 0001
arrR
arrR

Individual-based simulation model
Homepage
Jan 1, 0001
landscapemetrics
landscapemetrics

Landscape Metrics for Categorical Map Patterns
Homepage
Jan 1, 0001
NLMR
NLMR

Simulating Neutral Landscape Models
Homepage
Jan 1, 0001
onpoint
onpoint

Helper functions for point pattern analysis
Homepage
Jan 1, 0001
shar
shar

Species-Habitat Associations in R
Homepage
Jan 1, 0001
shar
shar

Predict regional community composition
Homepage

CV


For a full CV, please click here.


Contact