Publications
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† Authors contributed equally
Hesselbarth, M.H.K., Nowosad, J., de Flamingh, A., Simpkins, C.E., Jung, M., Gerber, G., Bosch, M. (In press). Computational methods in landscape ecology. Current Landscape Ecology Reports.
Hesselbarth, M.H.K. † , Allgeier, J.E. † (In press). High fish biomass and low nutrient enrichment synergistically enhance stability in a seagrass meta-ecosystem. Conservation Letters.
Munsterman, K., Hesselbarth, M.H.K., Allgeier, J.E. (In press). Smaller and bolder fish enhance ecosystem-scale primary production around artificial reefs in seagrass beds. Ecological Applications.
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
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, e13243. DOI:10.1111/jvs.13243.
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 19:20230075. DOI:10.1098/rsbl.2023.0075.
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, 565–577. DOI:10.1007/s10342-023-01542-3.
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.
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.
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.
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.
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.
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.
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.
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.