Publications
PDF file Citation Code
† Authors contributed equally
Nowosad, J., Hesselbarth, M.H.K. (2026). The landscapemetrics and motif Packages for Measuring Landscape Patterns and Processes. In: Rocchini, D. (eds) R Coding for Ecology. Use R!. Springer, Cham. DOI:10.1007/978-3-031-99665-8_10.
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Hesselbarth, M.H.K., Nowosad, J., de Flamingh, A., Simpkins, C.E., Jung, M., Gerber, G., Bosch, M. (2025). Computational methods in landscape ecology. Current Landscape Ecology Reports 10 (2). DOI:10.1007/s40823-024-00104-6.
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Hesselbarth, M.H.K. † , Allgeier, J.E. † (2024). High fish biomass and low nutrient enrichment synergistically enhance stability in a seagrass meta-ecosystem. Conservation Letters 17 (6), e13071. DOI:10.1111/conl.13071.
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Munsterman, K., Hesselbarth, M.H.K., Allgeier, J.E. (2024). Smaller and bolder fish enhance ecosystem-scale primary production around artificial reefs in seagrass beds. Ecological Applications 35 (1), e3055. DOI:10.1002/eap.3055.
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Nowosad, J., Hesselbarth, M.H.K. (2024). The landscapemetrics and motif packages for measuring landscape patterns and processes. arxiv, stat.ME. DOI:10.48550/arxiv.2405.06559
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Hesselbarth, M.H.K., Wiegand, K. (2024). A simulation study comparing common methods for analyzing species-habitat associations of plants. Journal of Vegetation Science 35 (2), e13243. DOI:10.1111/jvs.13243.
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Shayka, B.F., Hesselbarth, M.H.K., Schill, S.R., Currie, W.S., Allgeier, J.E. (2023). The natural capital of seagrass beds in the Caribbean: evaluating their ecosystem services and blue carbon trade potential. Biology Letters 19 (6), 20230075. DOI:10.1098/rsbl.2023.0075.
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Rubio-Camacho, E.A., Hesselbarth, M.H.K., Flores-Garnica, J.-G., Acosta-Mireles, M. (2023). Tree mortality in mature temperate forests of central Mexico: A spatial approach. European Journal of Forest Research 142 (3), 565–577. DOI:10.1007/s10342-023-01542-3.
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Simpkins, C.E., Hanss, S., Spangenberg, M.C., Salecker, J., Hesselbarth, M.H.K., Wiegand, K. (2022). spectre: An R package to estimate spatially-explicit community composition using sparse data. Ecography 2022 (12), e06272. DOI:10.1111/ecog.06272.
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Esquivel, K.E. † , Hesselbarth, M.H.K. † , Allgeier, J.E. (2022). Mechanistic support for increased primary production around artificial reefs. Ecological Applications 32 (6), e2617. DOI:10.1002/eap.2617.
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Hesselbarth, M.H.K. (2021). shar: An R package to analyze species-habitat associations using point pattern analysis. Journal of Open Source Software 6 (68), 3811. DOI:10.21105/joss.03811.
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Hesselbarth, M.H.K., Nowosad, J., Signer, J., Graham, L.J. (2021). Open-source tools in R for landscape ecology. Current Landscape Ecology Reports 6 (3), 97-111. DOI:10.1007/s40823-021-00067-y.
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Borthwick, R. † , de Flamingh, A. † , Hesselbarth, M.H.K. † , Parandhaman, A. † , Wagner, H.H., Abdel Moniem, H.E.M. (2020). Alternative Quantifications of Landscape Complementation to Model Gene Flow in Banded Longhorn Beetles [Typocerus v. velutinus (Olivier)]. Frontiers in Genetics 11, 307. DOI:10.3389/fgene.2020.00307.
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Hesselbarth, M.H.K. (2020). Analysing and modelling spatial patterns to infer the influence of environmental heterogeneity using point pattern analysis, individual-based simulation modelling and landscape metrics. Dissertation. University of Goettingen, Goettingen, Germany. DOI:10.53846/goediss-7959.
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Hesselbarth, M.H.K., Sciaini, M., With, K.A., Wiegand, K., Nowosad, J. (2019). landscapemetrics: An open-source R tool to calculate landscape metrics. Ecography 42 (10), 1648-1657. DOI:10.1111/ecog.04617.
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Hesselbarth, M.H.K., Wiegand, K., Dreber, N., Kellner, K., Esser, D.,Tsvuura, Z. (2018). Density-dependent spatial patterning of woody plants differs between a semi-arid and a mesic savanna in South Africa. Journal of Arid Environments 157, 103-112. DOI:10.1016/j.jaridenv.2018.06.002.