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Maximilian H.K. Hesselbarth
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landscapemetrics: an open‐source R tool to calculate landscape metrics
MHK Hesselbarth, M Sciaini, KA With, K Wiegand, J Nowosad
Ecography 42 (10), 1648-1657, 2019
7002019
Density-dependent spatial patterning of woody plants differs between a semi-arid and a mesic savanna in South Africa
MHK Hesselbarth, K Wiegand, N Dreber, K Kellner, D Esser, Z Tsvuura
Journal of Arid Environments 157, 103-112, 2018
182018
Open-source tools in R for landscape ecology
MHK Hesselbarth, J Nowosad, J Signer, LJ Graham
Current Landscape Ecology Reports 6 (3), 97-111, 2021
122021
The natural capital of seagrass beds in the Caribbean: evaluating their ecosystem services and blue carbon trade potential
BF Shayka, MHK Hesselbarth, SR Schill, WS Currie, JE Allgeier
Biology Letters 19 (6), 20230075, 2023
52023
shar: An R package to analyze species-habitat associations using point pattern analysis
MHK Hesselbarth
Journal of Open Source Software 6 (68), 3811, 2021
52021
Mechanistic support for increased primary production around artificial reefs
KE Esquivel, MHK Hesselbarth, JE Allgeier
Ecological Applications 32 (6), e2617, 2022
32022
Alternative quantifications of landscape complementation to model gene flow in banded longhorn beetles [Typocerus v. velutinus (Olivier)]
R Borthwick, A de Flamingh, MHK Hesselbarth, A Parandhaman, ...
Frontiers in Genetics 11, 492248, 2020
32020
Tree mortality in mature temperate forests of central Mexico: a spatial approach
EA Rubio-Camacho, MHK Hesselbarth, JG Flores-Garnica, ...
European Journal of Forest Research 142 (3), 565-577, 2023
22023
Analysing and modelling spatial patterns to infer the influence of environmental heterogeneity using point pattern analysis, individual-based simulation modelling and landscape …
MHK Hesselbarth
Dissertation, Göttingen, Georg-August Universität, 2020, 2020
12020
A simulation study comparing common methods for analyzing species–habitat associations of plants
MHK Hesselbarth, K Wiegand
Journal of Vegetation Science 35 (2), e13243, 2024
2024
spectre: an R package to estimate spatially‐explicit community composition using sparse data
CE Simpkins, S Hanß, MC Spangenberg, J Salecker, MHK Hesselbarth, ...
Ecography 2022 (12), e06272, 2022
2022
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Articles 1–11