Publications

To make sure that you're not missing anything, please go directly to the Google Scholar profile of the group (externer Link, öffnet neues Fenster), or of the respective group members. 

 

List of all publications with affiliation by the TE group. Group members are highlighted in bold text. 

- Basile M, Pichler M, Valerio F, Balducci L, Chianucci F, Godinho S, Rota F, Archaux F, Bouget C, Brazaitis G, et al. Harnessing the power of machine and deep learning for transferring joint species distribution models considering the structure of biotic interactions. Ecography. 2026;2026(6):e08269. doi.org/10.1002/ecog.08269

- Dormann CF, Käber Y, Hartig F. Full prediction uncertainty quantification: A plea from science and decision making. Adv Ecol Res. 2026;74:191–212. doi.org/10.1016/bs.aecr.2026.02.003

- Rubanschi S, Lewerentz A, Krause A, Blechschmidt J, Fallert S, Gosling E, Gregor K, Jarisch I, Stetter C, Brönner M, et al. Impacts of climate change on biodiversity and ecosystems in Bavaria: a sectoral analysis. Reg Environ Change. 2026;26(2):95. doi.org/10.1007/s10113-026-02586-y

- Fronville T, Pichler M, Signer J, Grabow M, Kramer-Schadt S, Radchuk V, Hartig F. Analyzing animal movement using deep learning. arXiv [Preprint]. 2026. arXiv:2603.24009

- Malchow AK, Hartig F. Calibration, Sensitivity and Uncertainty Analysis of Complex Ecological Models—A Review. Ecol Lett. 2026;29(4):e70375.

- Mašková T, Hartig F, Poschlod P. Hydrological recruitment niches of wetland plants are associated with dormancy, alternating temperature, and oxygen requirements. Basic Appl Ecol. 2026. doi.org/10.1016/j.baae.2026.04.004

- Hurlbert A, Cabral J, Etienne R, Hagen O, Huang S, Jang YT, Janzen T, Machac A, Neves PS, Pontarp M, et al. Evaluating the robustness of process-pattern links using phylogenies—insights from a comparison of eight simulation models. Syst Biol. 2026.

- Herold JM, Wiegrebe S, Thorand B, Winkler TW, Gieger C, Hartig F, Behr M, Peters A, Küchenhoff H, Heid IM. A novel age-informative polygenic score improves predictive ability for kidney function and kidney function decline. medRxiv [Preprint]. 2026. doi.org/10.64898/2026.01.22.26344420

- Barth P, Drumm J, Schmidt A, Hartig F, Koch A. Efficiency of RNAi based gene silencing in fungi-a review and meta-analysis. bioRxiv [Preprint]. 2026. doi.org/10.64898/2026.03.04.709060

- Rosbakh S, Nepi M, Pichler M. Does pollen form follow function? Effects of stigma type, pollination mode and habitat on pollen morphological traits. J Ecol. 2026;114(3):e70290. doi.org/10.22541/au.175373264.48136873/v1

- Pichler M, Käber Y. Inferring processes within dynamic forest models using hybrid modelling. Methods Ecol Evol. 2025.

- Lwin YH, Quan RC, Hartig F, Kühl HS, Heurich M. Human and apex predators shape lower trophic levels through top-down control. Biol Conserv. 2025;310:111352. doi.org/10.1016/j.biocon.2025.111352

- Wittmann K, Klein AM, Pichler M, Staab M. Disentangling the influence of environmental conditions on sex determination in haplodiploid organisms. J Anim Ecol. 2025;94(12):2584–2596. doi.org/10.1111/1365-2656.70153

- Alkemade JA, Hawkins NJ, Baraldi E, Buddie AG, Cockerton HM, Corkley I, Fraaije BA, Gaya E, Gifford DR, Hartig F, et al. Learning from fungicide resistance: Evolutionary insights to guide RNAi-based control of fungal crop pathogens. Fungal Biol Rev. 2025;53:100443. doi.org/10.1016/j.fbr.2025.100443

- Cai W, Pichler M, Biggs J, Nicolet P, Ewald N, Griffiths RA, Bush A, Leibold MA, Hartig F, Yu DW. Assembly processes inferred from eDNA surveys of a pond metacommunity are consistent with known species ecologies. Ecography. 2025;2025(6):e07461.

- de Souza Leite M, Rettelbach D, Hartig F. Dispersion tests in generalised linear mixed-effects models-a methods comparison and practical guide. EcoEvoRxiv [Preprint]. 2025. doi.org/10.32942/x23m14

- Grimm V, Berger U, Calabrese JM, Cortés-Avizanda A, Ferrer J, Franz M, Groeneveld J, Hartig F, Jakoby O, Jovani R, et al. Using the ODD protocol and NetLogo to replicate agent-based models. Ecol Model. 2025;501:110967. doi.org/10.1016/j.ecolmodel.2024.110967

- Dormann CF, Castillo WJ, Tudanca MPP, CaraDonna P, Burkle LA, Rakosy D, Winfree R, Zoller L, Benadi G, Kaiser-Bunbury CN, et al. Predicting interaction frequency in plant-pollinator networks. EcoEvoRxiv [Preprint]. 2025. doi.org/10.32942/x2s63z

- Wintermantel D, Osterman J, Magdalena M M, Hartig F, et al. When is a pesticide'low risk'? A simulation-based evaluation of EFSA's equivalence test and an alternative method. [Preprint]. 2025.

- Machac A, Hurlbert A, Cabral JS, Cerezer FO, Dambros CS, Fritz S, Graham CH, Hagen O,  Hartig F, Huang S, et al. Species Richness Gradients Vary Across Phylogenetic Scales. Glob Ecol Biogeogr. 2025;34(12):e70067. doi.org/10.1111/geb.70067

- Leroy A, Lajaaiti I, Lambert S, Voznica J, Pichler M, Morlon H, Hartig F, Jacob L. Graph Neural Networks for Likelihood-Free Inference in Diversification Models. bioRxiv [Preprint]. 2025. doi.org/10.1101/2025.08.14.670341

- Herold JM, Wiegrebe S, Thorand B, Winkler TW, Gieger C, Hartig F, Peters A, Kuchenhoff H, Heid IM. Age-Informative Polygenic Score for Quantitative Traits: An Approach and Its Chances and Challenges to Predict Kidney Function and Kidney Function Decline. In: GENETIC EPIDEMIOLOGY. 2025.

- Töpper JP, Hoeks S, Hartig F Kolstad A, Tucker MA, Bartlett J, Bærum KM, Chipperfield J, Harfoot M, Huijbregts MAJ, et al. Advancing general ecosystem models (GEMs): Towards a mechanistic understanding of the biosphere in the light of the Anthropocene. Ecol Solut Evid. 2025;6(2):e70053.

- Pichler M, Creer S, Martínez A, Fontaneto D, Renema W, Macher JN. Metacommunity theory and metabarcoding reveal the environmental, spatial and biotic drivers of meiofaunal communities in sandy beaches. Mol Ecol. 2025;34(8):e17733. doi.org/10.1111/mec.17733

- Martinez A, Cakir S, García-Cobo M, Fontaneto D, Lemke M, Pichler M, Sánchez N, Stoppelenburg T, Stuut JB, Renema W, et al. Urbanisation reshapes community assembly differently across coastal beach and dune habitats. bioRxiv [Preprint]. 2025. doi.org/10.1101/2025.09.13.675372

- Hartig F. Towards a robust framework for data assimilation and uncertainty quantification in environmental forecasting. In: ARPHA Conference Abstracts. 2025. doi.org/10.3897/aca.8.e150308

- Trotsiuk V, Hartig F, Forrester DI. The r3PG R package. [Preprint]. 2024.

- Hartig F, Abrego N, Bush A, Chase JM, Guillera-Arroita G, Leibold MA, Ovaskainen O, Pellissier L, Pichler M, Poggiato G, et al. Novel community data in ecology-properties and prospects. Trends Ecol Evol. 2024;39(3):280–293. doi.org/10.1016/j.tree.2023.09.017

- Wiegrebe S, Gorski M, Herold JM, Stark KJ, Thorand B, Gieger C, Böger CA, Schödel J, Hartig F, Chen H, et al. Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline. Nature communications. 2024;15(1):10061. doi.org/10.1038/s41467-024-54483-9

- Li Y, Devenish C, Tosa MI, Luo M, Bell DM, Lesmeister DB, Greenfield P, Pichler M, Levi T, Yu DW. Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity. Philos Trans R Soc Lond B Biol Sci. 2024;379(1904):20230123. doi.org/10.1101/2023.09.07.556488

- Malchow AK, Hartig F. Calibration, sensitivity and uncertainty analysis of ecological models–a review. Authorea Preprints. 2024.

- Amesoeder C, Hartig F, Pichler M. ‘cito': an R package for training neural networks using ‘torch'. Ecography. 2024;2024(6):e07143.

- LaManna JA, Hartig F, Myers JA, Freckleton RP, Detto M, Surendra A, Doolittle CJ, Bachelot B, Bagchi R, Comita LS, et al. Consequences of local conspecific density effects for plant diversity and community dynamics. Ecol Lett. 2024;27(9):e14506.

- Malchow AK, Fandos G, Kormann UG, Grüebler MU, Kéry M, Hartig F, Zurell D. Fitting individual-based models of spatial population dynamics to long-term monitoring data. Ecol Appl. 2024;34(4):e2966. doi.org/10.1002/eap.2966

- Hülsmann L, Chisholm RA, Comita L, Visser MD, de Souza Leite M, Aguilar S, Anderson-Teixeira KJ, Bourg NA, Brockelman WY, Bunyavejchewin S, et al. Latitudinal patterns in stabilizing density dependence of forest communities. Nature. 2024;627(8004):564–571.

- Pichler M, Hartig F. Is there a robust effect of mainland mutualism rates on species richness of oceanic islands? arXiv [Preprint]. 2024. arXiv:2411.15105

- Pichler M. Machine Learning and Deep Learning in Ecology–from predictions to mechanistic inference. [PhD thesis]. 2024.

- Cabral JS, Mendoza-Ponce A, Da Silva AP, Oberpriller J, Mimet A, Kieslinger J, Berger T, Blechschmidt J, Brönner M, Classen A, et al. The road to integrate climate change projections with regional land-use–biodiversity models. People Nat. 2024;6(5):1716–1741.

- Hartig F, Detto M, Surendra A, Bachelot B, Bagchi R, Huanca-Nunez N, Hülsmann L, Jevon FV, Krishnadas M, Stein C, et al. Consequences of Local Conspecific Density Effects for Plant Diversity and Community Dynamics. Wiley-Blackwell Publishing; 2024.

- Käber Y, Hartig F, Bugmann H. Inferring the tree regeneration niche from inventory data using a dynamic forest model. Geosci Model Dev. 2024;17(7):2727–2753. doi.org/10.5194/gmd-17-2727-2024

- Käber Y, Hartig F, Bugmann H. Inferring the tree regeneration niche from inventory data using a dynamic forest model. EGUsphere. 2023;2023:1–47. doi.org/10.5194/gmd-17-2727-2024

- Pichler M, Hartig F. Machine learning and deep learning-A review for ecologists. Methods in Ecology and Evolution 14: 994-1016. [Preprint]. 2023.

- Cai W, Pichler M, Biggs J, Nicolet P, Ewald N, Griffiths R, Bush A, Leibold M, Hartig F, Yu D. Environmental DNA captures the internal structure of a pond metacommunity. bioRxiv [Preprint]. 2023.

- Pichler M, Hartig F. Machine learning and deep learning—A review for ecologists. Methods in Ecology and Evolution, 14 (4), 994–1016. [Preprint]. 2023.

- Pichler M, Hartig F. Machine learning and deep learning—a review for ecologists. Methods Ecol Evol 14: 994–1016. [Preprint]. 2023. doi.org/10.1111/2041-210x.14061

- Pichler M, Hartig F. Machine learning and deep learning—a review for ecologists. Methods Ecol Evol 14 (4): 994–1016. [Preprint]. 2023. doi.org/10.1111/2041-210x.14061

- Pichler M, Hartig F. Machine learning and deep learning—A review for ecologists. Methods Ecol Evol. 2023;14(4):994–1016.

- Lajaaiti I, Lambert S, Voznica J, Morlon H, Hartig F. A comparison of deep learning architectures for inferring parameters of diversification models from extant phylogenies. BioRxiv [Preprint]. 2023. doi.org/10.1101/2023.03.03.530992

- Trotsiuk V, Hartig F, Forrester D, Gonzalez RS, Trotsiuk MV. Package ‘r3PG.’. [Preprint]. 2023.

- Malchow AK, Hartig F, Reeg J, Kéry M, Zurell D. Demography–environment relationships improve mechanistic understanding of range dynamics under climate change. Philos Trans R Soc Lond B Biol Sci. 2023;378(1881):20220194. doi.org/10.1098/rstb.2022.0194

- Pichler M, Hartig F. Can predictive models be used for causal inference? arXiv [Preprint]. 2023. arXiv:2306.10551

- Rosbakh S, Pichler M, Poschlod P. Machine-learning algorithms predict soil seed bank persistence from easily available traits. Appl Veg Sci. 2022;25(2):e12660. doi.org/10.1111/avsc.12660

- Cameron D, Hartig F, Minnuno F, Oberpriller J, Reineking B, Van Oijen M, Dietze M. Issues in calibrating models with multiple unbalanced constraints: the significance of systematic model and data errors. Methods Ecol Evol. 2022;13(12):2757–2770.

- Leibold MA, Rudolph FJ, Blanchet FG, De Meester L, Gravel D, Hartig F, Peres-Neto P, Shoemaker L, Chase JM. The internal structure of metacommunities. Oikos. 2022;2022(1). doi.org/10.1111/oik.08618

- Grüebler MK, Hartig F, Zurell D. Anne-Kathleen Malchow1, Guillermo Fandos1, 2, Urs G. Kormann3, Martin. Target. 2022;18:19.

- Schultz EL, Hülsmann L, Pillet MD, Hartig F, Breshears DD, Record S, Shaw JD, DeRose RJ, Zuidema PA, Evans ME. Climate-driven, but dynamic and complex? A reconciliation of competing hypotheses for species’ distributions. Ecol Lett. 2022;25(1):38–51.

- Oberpriller J, de Souza Leite M, Pichler M. Fixed or random? On the reliability of mixed-effects models for a small number of levels in grouping variables. Ecol Evol. 2022;12(7):e9062. doi.org/10.1002/ece3.9062

- Cabral JS, Mendoza-Ponce A, Silva APD, Oberpriller J, Mimet A, Kieslinger J, Berger T, Blechschmidt J, Brönner M, Classen A, et al. The road to integrate climate change effects on land-use change in regional biodiversity models. Authorea [Preprint]. 2022.

- Hartig F, Barraquand F. The evidence contained in the P-value is context dependent. Trends Ecol Evol. 2022;37(7):569–570. doi.org/10.1016/j.tree.2022.02.011

- Mahnken M, Cailleret M, Collalti A, Trotta C, Biondo C, d'Andrea E, Dalmonech D, Marano G, Mäkelä A, Minunno F, et al. Accuracy, realism and general applicability of European forest models. Glob Chang Biol. 2022;28(23):6921–6943. doi.org/10.1111/gcb.16384

- Malchow AK, Fandos G, Kormann UG, Grüebler MU, Kéry M, Hartig F, Zurell D. Fitting individual-based models of spatial population dynamics to long-term monitoring data. bioRxiv [Preprint]. 2022. doi.org/10.1002/eap.2966

- Henrich M, Hartig F, Dormann CF, Kühl HS, Peters W, Franke F, Peterka T, vSustr P, Heurich M. Deer behavior affects density estimates with camera traps, but is outweighed by spatial variability. Front Ecol Evol. 2022;10:881502. doi.org/10.3389/fevo.2022.881502

- Schultz E, Huelsmann L, Pillet M, Hartig F, Breshears D, Record S, Shaw J, DeRose R, Zuidema P, Evans M. What controls species' distributions? A demographic analysis and a new hypothesis. [Preprint]. 2022. doi.org/10.22541/au.164864110.02784572/v1

- Sarmento Cabral J, Mendonza-Ponce A, Pinto da Silva A, Oberpiller J, Mimet A, Kieslinger J, Berger T, Blechschmidt J, Brönner M, Classen A, et al. The road to integrate climate change effects on land-use change in regional biodiversity models. [Preprint]. 2022.

- Morlon H, Robin S, Hartig F. Studying speciation and extinction dynamics from phylogenies: addressing identifiability issues. Trends Ecol Evol. 2022;37(6):497–506. doi.org/10.1016/j.tree.2022.02.004

- Hülsmann L, Chisholm RA, Hartig F. Is variation in conspecific negative density dependence driving tree diversity patterns at large scales? Trends Ecol Evol. 2021;36(2):151–163. doi.org/10.1016/j.tree.2020.10.003

- Speich M, Dormann CF, Hartig F. Sequential Monte-Carlo algorithms for Bayesian model calibration–A review and method comparison✰. Ecol Model. 2021;455:109608. doi.org/10.1016/j.ecolmodel.2021.109608

- Barraquand F, Picoche C, Detto M, Hartig F. Inferring species interactions using Granger causality and convergent cross mapping. Theor Ecol. 2021;14(1):87–105. doi.org/10.1007/s12080-020-00482-7

- Oberpriller J, Arneth A, Herschlein C, Rammig A, Hartig F. Modellunsicherheiten in Klimafolgeprojektionen. Eine Einführung. Mitt Frank Geogr Ges. 2021:70–81.

- Oberpriller J, Cameron DR, Dietze MC, Hartig F. Towards robust statistical inference for complex computer models. Ecol Lett. 2021;24(6):1251–1261.

- Chalmandrier L, Hartig F, Laughlin DC, Lischke H, Pichler M, Stouffer DB, Pellissier L. Linking functional traits and demography to model species-rich communities. Nat Commun. 2021;12(1):2724. doi.org/10.1038/s41467-021-22630-1

- Oberpriller J, Anthoni P, Arneth A, Herschlein C, Krause A, Rammig A, Hartig F. Importance of drivers and processes for the predictive uncertainty in vegetation dynamics change across European forests. In: EGU General Assembly Conference Abstracts. 2021. doi.org/10.5194/egusphere-egu21-3831

- Udy K, Fritsch M, Meyer KM, Grass I, Hanß S, Hartig F, Kneib T, Kreft H, Kukunda CB, Pe’er G, et al. Environmental heterogeneity predicts global species richness patterns better than area. Glob Ecol Biogeogr. 2021;30(4):842–851. doi.org/10.1111/geb.13261

- Hagen O, Flück B, Fopp F, Cabral JS, Hartig F, Pontarp M, Rangel TF, Pellissier L. gen3sis: A gen eral e ngine for e co-e volutionary si mulation s of the processes that shape Earth’s biodiversity. PLoS Biol. 2021;19(7):e3001340.

- PELLISSIER L, LAUGHLIN D, HARTIG F, PICHLER M, STOUFFER D, LISCHKE H. LINKING FUNCTIONAL TRAITS AND DEMOGRAPHY TO MODEL SPECIES-RICH COMMUNITIES. NATURE COMMUNICATIONS. 2021;12(1). doi.org/10.1038/s41467-021-22630-1

- Ryo M, Angelov B, Mammola S, Kass JM, Benito BM, Hartig F. Explainable artificial intelligence enhances the ecological interpretability of black-box species distribution models. Ecography. 2021;44(2):199–205. doi.org/10.1111/ecog.05360

- Reisch C, Hartig F. Species and genetic diversity patterns show different responses to land use intensity in central European grasslands. Divers Distrib. 2021;27(3):392–401. doi.org/10.1111/ddi.13199

- Pichler M, Hartig F. A new joint species distribution model for faster and more accurate inference of species associations from big community data. Methods Ecol Evol. 2021;12(11):2159–2173.

- Rosbakh S, Hartig F, Sandanov DV, Bukharova EV, Miller TK, Primack RB. Siberian plants shift their phenology in response to climate change. Glob Chang Biol. 2021;27(18):4435–4448. doi.org/10.1111/gcb.15744

- Oberpriller J, Herschlein C, Anthoni P, Arneth A, Krause A, Rammig A, Lindeskog M, Olin S, Hartig F. Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0). Geosci Model Dev Discuss. 2021;2021:1–34. doi.org/10.5194/gmd-15-6495-2022

- Trotsiuk V, Hartig F, Forrester D. r3PG–An r package for simulating forest growth using the 3-PG process-based model. Methods Ecol. Evol. 11, 1470–1475. [Preprint]. 2020.

- Reyer CP, Silveyra Gonzalez R, Dolos K, Hartig F, Hauf Y, Noack M, Lasch-Born P, Rötzer T, Pretzsch H, Meesenburg H, et al. The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth Syst Sci Data. 2020;12(2):1295–1320.

- Berzaghi F, Wright IJ, Kramer K, Oddou-Muratorio S, Bohn FJ, Reyer CP, Sabaté S, Sanders TG, Hartig F. Towards a new generation of trait-flexible vegetation models. Trends Ecol Evol. 2020;35(3):191–205. doi.org/10.1016/j.tree.2019.11.006

- Cailleret M, Bircher N, Hartig F, Hülsmann L, Bugmann H. Bayesian calibration of a growth-dependent tree mortality model to simulate the dynamics of European temperate forests. Ecol Appl. 2020;30(1):e02021.

- Dormann CF, Bagnara M, Boch S, Hinderling J, Janeiro-Otero A, Schäfer D, Schall P, Hartig F. Plant species richness increases with light availability, but not variability, in temperate forests understorey. BMC Ecol. 2020;20(1):43. doi.org/10.1186/s12898-020-00311-9

- Ruiz-Benito P, Vacchiano G, Lines ER, Reyer CP, Ratcliffe S, Morin X, Hartig F, Mäkelä A, Yousefpour R, Chaves JE, et al. Available and missing data to model impact of climate change on European forests. Ecol Model. 2020;416:108870.

- Ryo M, Angelov B, Mammola S, Kass J, Benito B, Hartig F. [Final version available] Explainable Artificial Intelligence enhances the ecological interpretability of black-box species distribution models. OSF; 2020. doi.org/10.32942/osf.io/w96pk

- Hagen O, Onstein RE, Flück B, Fopp F, Hartig F, Pontarp M, Albouy C, Luo A, Boschman L, Cabral JS, et al. GEN3SIS: An engine for simulating eco-evolutionary processes in the context of plate tectonics and deep-time climate variations. In: EGU General Assembly Conference Abstracts. 2020. doi.org/10.5194/egusphere-egu2020-20627

- Pichler M, Boreux V, Klein AM, Schleuning M, Hartig F. Machine learning algorithms to infer trait-matching and predict species interactions in ecological networks. Methods Ecol Evol. 2020;11(2):281–293. doi.org/10.1111/2041-210x.13329

- Mair MM, Kattwinkel M, Jakoby O, Hartig F. The minimum detectable difference (MDD) concept for establishing trust in nonsignificant results: A critical review. Environ Toxicol Chem. 2020;39(11):2109–2123. doi.org/10.1002/etc.4847

- Morlon H, Hartig F, Robin S. Prior hypotheses or regularization allow inference of diversification histories from extant timetrees. BioRxiv [Preprint]. 2020. doi.org/10.1101/2020.07.03.185074

- Henrich M, Niederlechner S, Kröschel M, Thoma S, Dormann CF, Hartig F, Heurich M. The influence of camera trap flash type on the behavioural reactions and trapping rates of red deer and roe deer. Remote Sens Ecol Conserv. 2020;6(3):399–410. doi.org/10.1002/rse2.150

- Trotsiuk V, Hartig F, Forrester DI. r3PG–an r package for simulating forest growth using the 3-PG process-based model. Methods Ecol Evol. 2020;11(11):1470–1475.

- Gonzalez RS, Reyer C, Mats M, Hartig F. ProfoundData: Downloading and Exploring Data from the PROFOUND Database. CRAN: Contributed Packages. 2020. doi.org/10.32614/cran.package.profounddata

- Beckman NG, Aslan CE, Rogers HS, Kogan O, Bronstein JL, Bullock JM, Hartig F, HilleRisLambers J, Zhou Y, Zurell D, et al. Advancing an interdisciplinary framework to study seed dispersal ecology. AoB Plants. 2020;12(2):plz048.

- Trotsiuk V, Hartig F, Cailleret M, Babst F, Forrester DI, Baltensweiler A, Buchmann N, Bugmann H, Gessler A, Gharun M, et al. Assessing the response of forest productivity to climate extremes in Switzerland using model–data fusion. Glob Chang Biol. 2020;26(4):2463–2476. doi.org/10.5194/egusphere-egu2020-16543

- Asian C, Beckman NG, Rogers HS, Bronstein J, Zurell D, Hartig F, Shea K, Pejchar L, Neubert M, Poulsen J, et al. The Role of Seed Dispersal in Plant Populations: Perspectives and Advances in a Changing World: Employing plant functional groups to advance seed dispersal ecology and conservation. AoB Plants. 2019:1b–1b.

- Hauenstein S, Fattebert J, Grüebler MU, Naef-Daenzer B, Pe'er G, Hartig F. Calibrating an individual-based movement model to predict functional connectivity for little owls. Ecol Appl. 2019;29(4):e01873. doi.org/10.1002/bes2.1541

- Chanthorn W, Hartig F, Brockelman WY, Srisang W, Nathalang A, Santon J. Defaunation of large-bodied frugivores reduces carbon storage in a tropical forest of Southeast Asia. Sci Rep. 2019;9(1):10015. doi.org/10.1038/s41598-019-46399-y

- Johnson JS, Cantrell RS, Cosner C, Hartig F, Hastings A, Rogers HS, Schupp EW, Shea K, Teller BJ, Yu X, et al. The Role of Seed Dispersal in Plant Populations: Perspectives and Advances in a Changing World: Rapid changes in seed dispersal traits may modify plant responses to global change. AoB Plants. 2019:1A–1A.

- Rogers HS, Beckman NG, Hartig F, Johnson JS, Pufal G, Shea K, Zurell D, Bullock JM, Cantrell RS, Loiselle B, et al. The total dispersal kernel: a review and future directions. AoB Plants. 2019;11(5):plz042. doi.org/10.1093/aobpla/plz042

- Schultz EL, Hülsmann L, Pillet MD, Breshears DD, Zuidema PA, Hartig F, DeRose RJ, Shaw JD, Evans ME. Demographic range modeling reveals that climate and competition are insufficient to explain a species distribution. In: 2019 ESA Annual Meeting (August 11–16). 2019.

- Czaczkes TJ, Beckwith JJ, Horsch AL, Hartig F. The multi-dimensional nature of information drives prioritization of private over social information in ants. Proc Biol Sci. 2019;286(1909):20191136. doi.org/10.1098/rspb.2019.1136

- Valdez JW, Hartig F, Fennel S, Poschlod P. The recruitment niche predicts plant community assembly across a hydrological gradient along plowed and undisturbed transects in a former agricultural wetland. Front Plant Sci. 2019;10:88. doi.org/10.3389/fpls.2019.00088

- Etienne RS, Cabral JS, Hagen O, Hartig F, Hurlbert AH, Pellissier L, Pontarp M, Storch D. A minimal model for the latitudinal diversity gradient suggests a dominant role for ecological limits. Am Nat. 2019;194(5):E122–E133. doi.org/10.1086/705243

- Johnson JS, Cantrell RS, Cosner C, Hartig F, Hastings A, Rogers HS, Schupp EW, Shea K, Teller BJ, Yu X, et al. Rapid changes in seed dispersal traits may modify plant responses to global change. AoB Plants. 2019;11(3):plz020. doi.org/10.1093/aobpla/plz020

- Delpierre N, Lireux S, Hartig F, Camarero JJ, Cheaib A, vCufar K, Cuny H, Deslauriers A, Fonti P, Gričar J, et al. Chilling and forcing temperatures interact to predict the onset of wood formation in Northern Hemisphere conifers. Glob Chang Biol. 2019;25(3):1089–1105.

- Panassiti B, Sander N, Mazzoni V, Fischnaller S, Parth M, Messner M, Janik K, Hartig F. A temperature-based model for predicting the immigration of Cacopsylla melanoneura and C. picta, vectors of the apple proliferation disease, in South Tyrol, Northern Italy (Hemiptera: Psylloidea). Cicadina. 2019;18(1):1–11.

- Bugmann H, Seidl R, Hartig F, Bohn F, Bruuna J, Cailleret M, François L, Heinke J, Henrot AJ, Hickler T, et al. Tree mortality submodels drive simulated long-term forest dynamics: assessing 15 models from the stand to global scale. Ecosphere. 2019;10(2):e02616. doi.org/10.1002/ecs2.2616

- Bagnara M, Gonzalez RS, Reifenberg S, Steinkamp J, Hickler T, Werner C, Dormann CF, Hartig F. An R package facilitating sensitivity analysis, calibration and forward simulations with the LPJ-GUESS dynamic vegetation model. Environ Model Softw. 2019;111:55–60. doi.org/10.1016/j.envsoft.2018.09.004

- Aslan C, Beckman NG, Rogers HS, Bronstein J, Zurell D, Hartig F, Shea K, Pejchar L, Neubert M, Poulsen J, et al. Employing plant functional groups to advance seed dispersal ecology and conservation. AoB Plants. 2019;11(2):plz006. doi.org/10.1093/aobpla/plz006

- Nadal-Sala D, Hartig F, Gracia CA, Sabaté S. Global warming likely to enhance black locust (Robinia pseudoacacia L.) growth in a Mediterranean riparian forest. For Ecol Manage. 2019;449:117448. doi.org/10.1016/j.foreco.2019.117448

- Hartig F, Minunno F, Paul S, Cameron D, Ott T. BayesianTools: General-purpose MCMC and SMC samplers and tools for Bayesian statistics. R package version 0.1. 2019;6. doi.org/10.32614/cran.package.bayesiantools

- Maliet O, Hartig F, Morlon H. A model with many small shifts for estimating species-specific diversification rates. Nat Ecol Evol. 2019;3(7):1086–1092. doi.org/10.1038/s41559-019-0908-0

- Pontarp M, Bunnefeld L, Cabral JS, Etienne RS, Fritz SA, Gillespie R, Graham CH, Hagen O, Hartig F, Huang S, et al. The latitudinal diversity gradient: novel understanding through mechanistic eco-evolutionary models. Trends Ecol Evol. 2019;34(3):211–223. doi.org/10.1016/j.tree.2018.11.009

- Hülsmann L, Hartig F. Comment on “Plant diversity increases with the strength of negative density dependence at the global scale”. Science. 2018;360(6391):eaar2435. doi.org/10.1126/science.aar2435

- Reisch C, Schmid C, Hartig F. A comparison of methods for estimating plant population size. Biodivers Conserv. 2018;27(8):2021–2028. doi.org/10.1007/s10531-018-1522-1

- Dormann CF, Calabrese JM, Guillera-Arroita G, Matechou E, Bahn V, Bartoń K, Beale CM, Ciuti S, Elith J, Gerstner K, et al. Model averaging in ecology: A review of Bayesian, information-theoretic, and tactical approaches for predictive inference. Ecol Monogr. 2018;88(4):485–504.

- Chalmandrier L, Hartig F, Pellissier L. Using functional traits to fit community mechanistic models. In: 2018 ESA Annual Meeting (August 5–10). 2018.

- Marqués López L, Madrigal González J, Zavala Gironés MÁD, Camarero JJ, Hartig F, et al. Last-century forest productivity in a managed dry-edge Scots pine population: The two sides of climate warming. [Preprint]. 2018. doi.org/10.1002/eap.1631

- Dormann CF, Bobrowski M, Dehling DM, Harris DJ, Hartig F, Lischke H, Moretti MD, Pagel J, Pinkert S, Schleuning M, et al. Biotic interactions in species distribution modelling: 10 questions to guide interpretation and avoid false conclusions. Glob Ecol Biogeogr. 2018;27(9):1004–1016. doi.org/10.1111/geb.12759

- Dormann C, Calabrese J, Guillera Arroita G, Matechou E, Bahn V, Barton K, Beale C, Ciuti S, Elith J, Gerstner K, et al. Moyennage des modèles en écologie: examen des approches bayésiennes, théoriques et tactiques pour l'inférence prédictive. [Preprint]. 2018.

- Fassnacht FE, Latifi H, Hartig F. Using synthetic data to evaluate the benefits of large field plots for forest biomass estimation with LiDAR. Remote Sens Environ. 2018;213:115–128. doi.org/10.1016/j.rse.2018.05.007

- Hartig F. Simulation Modeling. arXiv [Preprint]. 2018. arXiv:1812.09137

- Fasiolo M, Wood SN, Hartig F, Bravington MV. An extended empirical saddlepoint approximation for intractable likelihoods. [Preprint]. 2018. doi.org/10.1214/18-ejs1433

- Marqués L, Madrigal-González J, Zavala MA, Camarero JJ, Hartig F. Last-century forest productivity in a managed dry-edge Scots pine population: the two sides of climate warming. Ecol Appl. 2018;28(1):95–105. doi.org/10.1002/eap.1631

- Dormann CF, Calabrese JM, Guillera-Arroita G, Matechou E, Bahn V, Barton K, Beale CM, Ciuti S, Elith J, Gerstner K, et al. Supporting information to “Model averaging in ecology: a review of Bayesian, information-theoretical and tactical approaches”. [Preprint]. 2018.

- Fornoff F, Klein AM, Hartig F, Benadi G, Venjakob C, Schaefer HM, Ebeling A. Functional flower traits and their diversity drive pollinator visitation. Oikos. 2017;126(7):1020–1030. doi.org/10.1111/oik.03869

- Brieger F, Hagen R, Kröschel M, Hartig F, Petersen I, Ortmann S, Suchant R. Do roe deer react to wildlife warning reflectors? A test combining a controlled experiment with field observations. Eur J Wildl Res. 2017;63(5):72. doi.org/10.1007/s10344-017-1130-5

- Hartig F. Optimizing process-based vegetation models for model-data integration. In: 2017 ESA Annual Meeting (August 6–11). 2017.

- Cabral JS, Valente L, Hartig F. Mechanistic simulation models in macroecology and biogeography: state-of-art and prospects. Ecography. 2017;40(2):267–280. doi.org/10.1111/ecog.02480

- Panassiti B, Hartig F, Fahrentrapp J, Breuer M, Biedermann R. Identifying local drivers of a vector-pathogen-disease system using Bayesian modeling. Basic Appl Ecol. 2017;18:75–85. doi.org/10.1016/j.baae.2016.11.005

- Udy KL, Fritsch M, Grass I, Hartig F, Kneib T, Kreft H, Kukunda C, Meyer K, Pe’er G, Reininghaus H, et al. Environmental Heterogeneity Predicts Global Species Richness Better Than Area. Scaling of Animal Communities: From Local and Landscape to Global Processes. 2017:76. doi.org/10.1111/geb.13261

- Augustynczik AL, Hartig F, Minunno F, Kahle HP, Diaconu D, Hanewinkel M, Yousefpour R. Productivity of Fagus sylvatica under climate change–A Bayesian analysis of risk and uncertainty using the model 3-PG. For Ecol Manage. 2017;401:192–206. doi.org/10.1016/j.foreco.2017.06.061

- Pullens JW, Bagnara M, González RS, Gianelle D, Sottocornola M, Heijmans M, Kiely G, Hartig F. The NUCOMBog R package for simulating vegetation, water, carbon and nitrogen dynamics in peatlands. Ecol Inform. 2017;40:35–39. doi.org/10.1016/j.ecoinf.2017.05.001

- Chanthorn W, Hartig F, Brockelman WY. Structure and community composition in a tropical forest suggest a change of ecological processes during stand development. For Ecol Manage. 2017;404:100–107. doi.org/10.1016/j.foreco.2017.08.001

- Roberts DR, Bahn V, Ciuti S, Boyce MS, Elith J, Guillera-Arroita G, Hauenstein S, Lahoz-Monfort JJ, Schröder B, Thuiller W, et al. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography. 2017;40(8):913–929. doi.org/10.1111/ecog.02881

- Sander N, Panassiti B, Brenner J, Öttl S, Sangelantoni L, Schlink K, Fischnaller S, Messner M, Parth M, Barthel D, et al. Influenza dei Fattori Ambientali sulla Densità di Popolazione dei Vettori Responsabili Della Malattia Degli Scopazzi del Melo. VII Incontro Nazionale sui Fitoplasmi e le Malattie da Fitoplasmi Programma Scientifico e Abstract. 2017:8.

- Singer A, Johst K, Banitz T, Fowler MS, Groeneveld J, Gutiérrez AG, Hartig F, Krug RM, Liess M, Matlack G, et al. Community dynamics under environmental change: How can next generation mechanistic models improve projections of species distributions? Ecol Model. 2016;326:63–74. doi.org/10.1016/j.ecolmodel.2015.11.007

- Pullens J, Bagnara M, Hartig F. NUCOMBog: NUtrient Cycling and COMpetition model undisturbed open Bog ecosystems in a temperate to sub-boreal climate. R-CRAN; 2016. doi.org/10.32614/cran.package.nucombog

- Hartig F. DHARMa: residual diagnostics for hierarchical (multi-level/mixed) regression models. CRAN: contributed packages. 2016.

- Moran EV, Hartig F, Bell DM. Intraspecific trait variation across scales: implications for understanding global change responses. Glob Chang Biol. 2016;22(1):137–150. doi.org/10.1111/gcb.13000

- Sohn JA, Hartig F, Kohler M, Huss J, Bauhus J. Heavy and frequent thinning promotes drought adaptation in Pinus sylvestris forests. Ecol Appl. 2016;26(7):2190–2205. doi.org/10.1002/eap.1373

- Latifi H, Heurich M, Hartig F, Müller J, Krzystek P, Jehl H, Dech S. Estimating over-and understorey canopy density of temperate mixed stands by airborne LiDAR data. Forestry. 2016;89(1):69–81. doi.org/10.1093/forestry/cpv032

- Pullens J, Sottocornola M, Bagnara M, Hartig F, Kiely G, Gianelle D, et al. Sequential Monte Carlo calibration of NUCOM-Bog on multiple peatlands. In: EcoSummit 2016: Ecological sustainability: engineering change, 29 August-1 September 2016| Le Corum, Montpellier, France. 2016.

- Schiro G, Fahrentrapp J, Hartig F, Panassiti B. A genetic analysis reveals low prevalence of phytoplasma infection in Hyalesthes obsoletus Signoret, vector of'bois noir', in SW-Germany. PeerJ PrePrints. 2015;3:e732v2. doi.org/10.7287/peerj.preprints.732v2

- Hartig F. Dale & Fortin–the revised guide to spatial analysis. Front Biogeogr. 2015;7(2).

- Pullens J, Sottocornola M, Kiely G, Gianelle D, Bagnara M, Hartig F, et al. Calibrating NUCOM-BOG. In: Joint MC and WG meeting of PROFOUND, Novi Sad, Serbia, 11-12 November 2015. 2015.

- Bircher N, Hartig F, Hülsmann L, Heiri C, Bugmann H, Cailleret M. Bayesian statistics provide new insights on structural realism of a dynamic vegetation model. To die or not to die. 2015:55.

- Latifi H, Heurich M, Hartig F, Krzystek P, Jehl H, Dech S. Crown density of over-and understory in mixed forest stands as explained by airborne LiDAR metrics. In: 36th International Symposium on Remote Sensing of Environment. 2015.

- Latifi H, Fassnacht FE, Hartig F, Berger C, Hernández J, Corvalán P, Koch B. Stratified aboveground forest biomass estimation by remote sensing data. International Journal of Applied Earth Observation and Geoinformation. 2015;38:229–241.

- Panassiti B, Hartig F, Breuer M, Biedermann R. Bayesian inference of environmental and biotic factors determining the occurrence of the grapevine disease ‘bois noir'. Ecosphere. 2015;6(8):1–13.

- Latifi H, Fassnacht F, Hartig F, Berger C, Hernandez J, Koch B. Does a post-stratification of ground units improve the forest biomass estimation by remote sensing data? [Preprint]. 2015.

- Hartig F, Münkemüller T, Johst K, Dieckmann U. On the Sympatric Evolution and Evolutionary Stability of Coexistence by Relative Nonlinearity of. [Preprint]. 2014. doi.org/10.1371/journal.pone.0094454

- Hartig F, Muenkemueller T, Johst K, Dieckmann U. On the sympatric evolution and evolutionary stability of coexistence by relative nonlinearity of competition. PLoS One. 2014;9(9):e94454. doi.org/10.1371/journal.pone.0094454

- Pe'er G, Dicks LV, Visconti P, Arlettaz R, Báldi A, Benton TG, Collins S, Dieterich M, Gregory RD, Hartig F, et al. EU agricultural reform fails on biodiversity. Science. 2014;344(6188):1090–1092. doi.org/10.1126/science.1253425

- Hartig F, Dislich C, Wiegand T, Huth A. Approximate Bayesian parameterization of a process-based tropical forest model. Biogeosciences. 2014;11(4):1261–1272.

- Hartig F, Dislich C, Wiegand T, Huth A. Supplementary material for Technical Note: Approximate Bayesian parameterization of a process-based tropical forest model. Citeseer; 2014.

- Wätzold F, van Teeffelen AJ, Opdam P, Drechsler M, Hartig F, Johst K, Vos CC, Wissel S, Quétier F. Ecological and economic conditions and associated institutional challenges for conservation banking in dynamic landscapes. [Preprint]. 2014. doi.org/10.1016/j.landurbplan.2014.06.004

- van Teeffelen AJ, Opdam P, Wätzold F, Hartig F, Johst K, Drechsler M, Vos CC, Wissel S, Quétier F. Ecological and economic conditions and associated institutional challenges for conservation banking in dynamic landscapes. Landscape and Urban Planning. 2014;130:64–72. doi.org/10.1016/j.landurbplan.2014.06.004

- Schiro G, Fahrentrapp J, Hartig F, Panassiti B. A genetic analysis reveals low prevalence of phytoplasma infection in Hyalesthes obsoletus Signoret, vector of'bois noir', in SW-Germany. [Preprint]. 2014. doi.org/10.7287/peerj.preprints.732v2

- Fassnacht F, Hartig F, Latifi H, Berger C, Hernández J, Corvalán P, Koch B. Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. Remote Sens Environ. 2014;154:102–114. doi.org/10.1016/j.rse.2014.07.028

- Hartig F, Dislich C, Wiegand T, Huth A. Approximate Bayesian parameterization of a complex tropical forest model. Biogeosciences Discuss. 2013;10(8):13097–13128.

- Hartig F, Dislich C, Wiegand T, Huth A. 1 FORMIND model details. Citeseer; 2013.

- Taubert F, Hartig F, Dobner HJ, Huth A. On the challenge of fitting tree size distributions in ecology. PLoS One. 2013;8(2):e58036. doi.org/10.1371/journal.pone.0058036

- Schymanski SJ, Dormann CF, Cabral J, Chuine I, Graham CH, Hartig F, Kearney M, Morin X, Römermann C, Schröder B, et al. Process, correlation and parameter fitting in species distribution models: a response to Kriticos et al. J Biogeogr. 2013;40(3):612–613.

- Hartig F, Dormann CF. Does model-free forecasting really outperform the true model? Proc Natl Acad Sci U S A. 2013;110(42):E3975–E3975. doi.org/10.1073/pnas.1308603110

- Van Oijen M, Reyer C, Bohn F, Cameron D, Deckmyn G, Flechsig M, Härkönen S, Hartig F, Huth A, Kiviste A, et al. Bayesian calibration, comparison and averaging of six forest models, using data from Scots pine stands across Europe. For Ecol Manage. 2013;289:255–268. doi.org/10.1016/j.foreco.2012.09.043

- Marion G, McInerny GJ, Pagel J, Catterall S, Cook AR, Hartig F, O'Hara RB. Parameter and uncertainty estimation for process-oriented population and distribution models: data, statistics and the niche. J Biogeogr. 2012;39(12):2225–2239. doi.org/10.1111/j.1365-2699.2012.02772.x

- Kissling D, Singer A, Schurr F, Hartig F, Zimmermann N, Pagel J, Cabral J, Groeneveld J, Schröder B, Linder H, et al. How to understand species’ niches and range dynamics: a demographic research agenda for biogeography. [Preprint]. 2012. doi.org/10.1111/j.1365-2699.2012.02737.x

- Schurr FM, Pagel J, Cabral JS, Groeneveld J, Bykova O, O’Hara RB, Hartig F, Kissling WD, Linder HP, Midgley GF, et al. How to understand species’ niches and range dynamics: a demographic research agenda for biogeography. J Biogeogr. 2012;39(12):2146–2162. doi.org/10.1111/j.1365-2699.2012.02737.x

- Johst K, Hartig F, Drechsler M. Offsetting policies for biodiversity conservation: the need for compensating habitat relocation. In: Developments in Environmental Modelling. Elsevier; 2012. p. 413–430.

- Dormann CF, Schymanski SJ, Cabral J, Chuine I, Graham C, Hartig F, Kearney M, Morin X, Römermann C, Schröder B, et al. Correlation and process in species distribution models: bridging a dichotomy. J Biogeogr. 2012;39(12):2119–2131.

- Hartig F, Dyke J, Hickler T, Higgins SI, O’Hara RB, Scheiter S, Huth A. Connecting dynamic vegetation models to data–an inverse perspective. J Biogeogr. 2012;39(12):2240–2252. doi.org/10.1111/j.1365-2699.2012.02745.x

- Drechsler M, Hartig F. Conserving biodiversity with tradable permits under changing conservation costs and habitat restoration time lags. Ecol Econ. 2011;70(3):533–541. doi.org/10.1016/j.ecolecon.2010.10.004

- Johst K, Drechsler M, van Teeffelen AJ, Hartig F, Vos CC, Wissel S, Wätzold F, Opdam P. Biodiversity conservation in dynamic landscapes: trade-offs between number, connectivity and turnover of habitat patches. J Appl Ecol. 2011;48(5):1227–1235. doi.org/10.1111/j.1365-2664.2011.02015.x

- Wätzold F, Johst K, Drechsler M, van Teeffelen AJ, Hartig F, Vos CC, Wissel S, Opdam P. Biodiversity conservation in dynamic landscapes: trade-offs between number, connectivity and turnover of habitat patches. [Preprint]. 2011. doi.org/10.1111/j.1365-2664.2011.02015.x

- Hartig F, Calabrese JM, Reineking B, Wiegand T, Huth A. Statistical inference for stochastic simulation models–theory and application. Ecol Lett. 2011;14(8):816–827. doi.org/10.1111/j.1461-0248.2011.01640.x

- Wätzold F, Drechsler M, Hartig F, Wissel S. Applying tradable permits to biodiversity conservation: design issues, modelling and policies. In: Permit trading in different applications. Routledge; 2011. p. 157–173.

- Hartig F, Horn M, Drechsler M. EcoTRADE–A multi-player network game of a tradable permit market for biodiversity credits. Environ Model Softw. 2010;25(11):1479–1480. doi.org/10.1016/j.envsoft.2009.01.003

- van Teeffelen A, Opdam P, Drechsler M, Hartig F, Johst K, Vos C, Wätzold F, Wissel S. Governing spatial-temporal dynamics of biodiversity conservation networks using a tradable permit market scheme. In: Scaling and Governance Conference 2010. 2010.

- Drechsler M, Hartig F. Dynamics of habitat banking under changing conservation costs and habitat restoration time lags. [Preprint]. 2010.

- Hartig F. Metapopulations, Markets and the Individual: Refining incentive-based approaches for biodiversity conservation on private lands. [Preprint]. 2010.

- Hartig F, Drechsler M. Stay by thy neighbor? Social organization determines the efficiency of biodiversity markets with spatial incentives. Ecological complexity. 2010;7(1):91–99. doi.org/10.1016/j.ecocom.2009.07.001

- Hartig F, Drechsler M. Smart spatial incentives for market-based conservation. Biol Conserv. 2009;142(4):779–788. doi.org/10.1016/j.biocon.2008.12.014

- Hartig F, Drechsler M. The time horizon and its role in multiple species conservation planning. Biol Conserv. 2008;141(10):2625–2631. doi.org/10.1016/j.biocon.2008.07.028

- Hartig F, Drechsler M. Stay by thy neighbor? Structure formation, coordination and costs in tradable permit markets with spatial trading rules. Submitted to Ecological Complexity. 2008.

- Hartig F, Drechsler M. Optimizing spatial incentives in markets for conservation services. [Preprint]. 2008.

- Malchow AK, Hartig F, Reeg J, Kéry M, Zurell D. Supplemental information to: Demography-environment relationships improve mechanistic understanding of range dynamics under climate change. [Preprint].

- Hartig F, Drechsler M. EcoTRADE. Citeseer; .

- Hartig F, Bücker M, Camps-Valls G, Hoffman F, Ichii K, Jung M, Ludäscher B, Reichstein M, Zscheischler J. 5.2 Blending machine learning methods and process-based approaches in dynamic ecological models. Computer Science Meets Ecology. :126.

- Johst K, Drechsler M, van Teeffelen A, Hartig F, Vos C, Wissel S, Watzold F, Opdam P, Alagador D, Cerdeira J, et al. Virtual Issue: Conservation evidence, decision-making and the role of scientific publications. [Preprint].

- Dupke C, Hartig F, Heurich M, Reineking B. On the move: Modelling habitat selection of large herbivores. Detecting and Decomposing the Sources of Variation in Habitat Selection of Large Herbivores in Space and Time. :163.

- Hartig F. Can we simultaneously infer time-varying speciation and extinction rates from extant phylogenies? [Preprint].

- Arlettaz R, Hartig F, Neumann RK, Sutherland WJ. 2014 Peer et al Science Appendix CAP Reform. [Preprint].

- Pennekamp F, Bücker M, Burghardt T, Camps-Valls G, Jessica YH, Chen-Burger JD, Evans M, Hartig F, Hickler T, Hobern D, et al. 6 Panel discussions 6.1 Reproducibility and teaching needs–a dialogue between ecology and computer science. Computer Science Meets Ecology. :130.

- Evans ME, Schultz EL, Huelsmann L, Pillet MD, Zuidema P, Breshears DD, Record S, Hartig F, Shaw JD, DeRose RJ. USING FOREST INVENTORY DATA TO BUILD DEMOGRAPHY-DRIVEN MODELS OF THE GEOGRAPHIC DISTRIBUTION: A CASE STUDY OF PINUS EDULIS (TWO-NEEDLE PI~NON). Celebrating Progress, Possibilities, and Partnerships. :20.

- Lesmeister PG, Pichler M, Levi T, Douglas WY. Dietz et al.’s five elements and the creation of a biodiversity offset. [Preprint].

- Wood18 RO, Hartig F. Model averaging in ecology: a review of Bayesian, information-theoretic and tactical approaches for predictive inference. [Preprint].

- Pullens J, Bagnara M, Hartig F. NUCOMBog: AR package to run the NUCOM-Bog model and process its outputs. [Preprint].

- HARTIG F, DRECHSLER M. Smart spatial incentives in markets for conservation services. Citeseer; . doi.org/10.1016/j.biocon.2008.12.014

- Alkemade JA, Hawkins NJ, Baraldi E, Buddie AG, Cockerton HM, Corkley I, Fraaije BA, Gaya E, Gifford DR, Hartig F, et al. dd782de2-7cc6-495e-a5ec-aec3a778b5fb-1-s2. 0-S1749461325000338-main. pdf Page 02. [Preprint].

- Hartig F. Metapopulations, Markets and the Individual. [Preprint].

- Dietze M, Hartig F, et al. COST-FP1304-PROFOUND/TG15: Code for" Issues in calibrating models with multiple unbalanced constraints: significance of systematic model and data errors"". Zenodo. .

- Latifi H, Heurich M, Hartig F, Müller J, Krzystek P, Jehl H, Dech S. Estimating over-and understory density of temperate mixed stands by airborne LiDAR data", now changed to “Estimating over-and understory canopy density of temperate mixed stands by airborne LiDAR data. [Preprint].