@article{fdi:010080587, title = {{C}haracterizing the landscape compositions of urban wildlife encounters : the case of the stone marten ({M}artes foina), the red fox ({V}ulpes vulpes) and the hedgehog ({E}rinaceus europaeus) in the {G}reater {P}aris area}, author = {{C}apon, {M}. and {L}ysaniuk, {B}enjamin and {G}odard, {V}. and {C}lauzel, {C}. and {S}imon, {L}.}, editor = {}, language = {{ENG}}, abstract = {{A}s urbanization continues to expand worldwide, more and more urban areas become home to wild animals able to adapt to city life, generating a growing need for information. {I}n the {G}reater {P}aris area, the existence of three wild mammals (the stone marten, {M}artes foina, the red fox, {V}ulpes vulpes and the hedgehog, {E}rinaceus europaeus) is attested. {H}owever, little is known regarding their presence. {T}he research reported in this study aims to shed light upon their co-existence with city dwellers. {S}pecifically, the areas where contacts between these species and the inhabitants are the most likely are studied. {G}aining insight on the distribution of such areas allows for those in charge of wildlife-related issues to target where management measures may be needed the most, whether they concern biodiversity promotion initiatives or conflict mitigation actions. {I}n this paper, we investigate the landscape compositions in which these encounters have been the most frequent using presence records. {T}o do so, we analyzed the land use types within buffers set around contact points and applied statistical operations (correspondence analysis and hierarchical clustering) on the obtained results. {R}esults show that while some landscape compositions attract all three species (namely areas where greenery is prevailing), others were only favored by one or two of the species.}, keywords = {{B}iodiversity ; {H}uman ; wildlife relations ; {U}rban ecology ; {L}andscape ; analysis ; {FRANCE} ; {PARIS} {REGION}}, booktitle = {}, journal = {{U}rban {E}cosystems}, volume = {24}, numero = {5}, pages = {885--903}, ISSN = {1083-8155}, year = {2021}, DOI = {10.1007/s11252-020-01071-6}, URL = {https://www.documentation.ird.fr/hor/fdi:010080587}, }