The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/18133766

Fivash, Greg; Jim van Belzen; Karin Didderen; Wouter Lengkeek; Tjisse van der Heide et. al. (2022): Scripts & model output underlying the publication: Increasing spatial dispersion in ecosystem restoration mitigates risk in disturbance-driven environments. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18133766.v1

Dataset

• Ecological Applications
• Ecology

bet-hedging, biogeomorphology, disturbances, edge-effects, restoration, risk-mitigation, spatial dispersion, uncertainty

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by G.S. (Gregory) Fivash , Jim van Belzen , Karin Didderen , Wouter Lengkeek , Tjisse van der Heide , Tjeerd Bouma

This archived dataset contains the scripts used to run simulations of the model that appears in the publication: 'Increasing spatial dispersion in ecosystem restoration mitigates risk in disturbance-driven environments' (Journal of Applied Ecology, 2022).
It also includes: (1) the model output produced by our simluations, (2) the scripts used to produces the figures that appear in the manuscript, as well as (3) a set of functions that can be used to create randomized vegetation patterns (a key feature of the study).
See 'README.txt' for a full description.

• 2022-01-12 first online, published, posted

4TU.ResearchData

(.r) R Scripts, (.rda) R binary data files readable with R, (.tiff) images, (.clip) layered images readable in the application Clup Studio.

Increasing spatial dispersion in ecosystem restoration mitigates risk in disturbance-driven environments

• This work was supported by Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)/Toegepaste en Technische Wetenschappen (TTW)-Open Technologieprogramma (OTP) grant 14424, in collaboration with private and public partners: Natuurmonumenten, STOWA, Rijkswaterstaat, Van Oord, Bureau Waardenburg, Enexio and Rodenburg Biopolymers.

NIOZ Royal Netherlands Institute of Sea Research, Department of Estuarine and Delta Systems, and Utrecht University