| 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 | 958 | 2019 |
| 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 | 20 | 2021 |
| 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 | 19 | 2018 |
| 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 | 14 | 2023 |
| shar: An R package to analyze species-habitat associations using point pattern analysis MHK Hesselbarth Journal of Open Source Software 6 (68), 3811, 2021 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2023 |
| Mechanistic support for increased primary production around artificial reefs KE Esquivel, MHK Hesselbarth, JE Allgeier Ecological Applications 32 (6), e2617, 2022 | 5 | 2022 |
| Computational Methods in Landscape Ecology MHK Hesselbarth, J Nowosad, A de Flamingh, CE Simpkins, M Jung, ... Current Landscape Ecology Reports 10 (1), 1-18, 2025 | 1 | 2025 |
| 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 | 1 | 2022 |
| 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 | 1 | 2020 |
| Smaller and bolder fish enhance ecosystem‐scale primary production around artificial reefs in seagrass beds KS Munsterman, MHK Hesselbarth, JE Allgeier Ecological Applications 35 (1), e3055, 2025 | | 2025 |
| High Fish Biomass and Low Nutrient Enrichment Synergistically Enhance Stability in a Seagrass Meta‐Ecosystem MHK Hesselbarth, JE Allgeier Conservation Letters 17 (6), e13071, 2024 | | 2024 |
| The landscapemetrics and motif packages for measuring landscape patterns and processes J Nowosad, MHK Hesselbarth arXiv preprint arXiv:2405.06559, 2024 | | 2024 |
| 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 |
Jakub NowosadUniversity of Münster; Adam Mickiewicz UniversityПодтвержден адрес электронной почты в домене amu.edu.pl
