@article{fdi:010084687,
  title = {{F}ragmented landscape generator (flsgen) : a neutral landscape generator with control of landscape structure and fragmentation indices},
  author = {{J}usteau-{A}llaire, {D}. and {B}lanchard, {G}r{\'e}goire and {I}banez, {T}homas and {L}orca, {X}. and {V}ieilledent, {G}. and {B}irnbaum, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{N}eutral landscape models have many applications in ecology, such as supporting spatially explicit simulations, developing and evaluating landscape indices. {H}owever, current approaches provide few options to produce large landscapes with controlled composition and fragmentation indices. {W}e introduce flsgen ({F}ragmented {L}andscape {G}enerator), a new neutral landscape generator that addresses this limitation by providing a high level of control over 14 landscape indices. {T}he main novelty of flsgen is the decomposition of landscape generation into two steps: the solving of a constraint satisfaction problem and the generation of a landscape raster with a stochastic algorithm. {T}he latter relies on a continuous environmental gradient that influences the landscape's spatial configuration. flsgen can generate fine-grained artificial landscapes in small amounts of time, which makes it suited to produce large landscape series systematically. {W}e demonstrate the features of flsgen through three illustrative use cases. flsgen is a practical and efficient tool that expands the current possibilities of neutral landscape models and widens their potential applications. {T}o facilitate its uptake, flsgen is available as free and open-source software through a {J}ava {API}, a command-line interface or an {R} package.},
  keywords = {artificial landscape generation ; constraint programming ; habitat ; fragmentation ; landscape ecology ; landscape indices ; neutral landscape ; {NOUVELLE} {CALEDONIE} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[9 p.]},
  ISSN = {2041-210{X}},
  year = {2022},
  DOI = {10.1111/2041-210x.13859},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084687},
}