@article{fdi:010079517, title = {{A}re fission-fusion dynamics consistent among populations ? {A} large-scale study with {C}ape buffalo}, author = {{W}ielgus, {E}. and {C}ornelis, {D}. and de {G}arine-{W}ichatitsky, {M}. and {C}ain, {B}. and {F}ritz, {H}. and {M}iguel, {E}ve and {V}alls-{F}ox, {H}. and {C}aron, {A}. and {C}hamaille-{J}ammes, {S}.}, editor = {}, language = {{ENG}}, abstract = {{F}ission-fusion dynamics allow animals to manage costs and benefits of group living by adjusting group size. {T}he degree of intraspecific variation in fission-fusion dynamics across the geographical range is poorly known. {D}uring 2008-2016, 38 adult female {C}ape buffalo were equipped with {GPS} collars in three populations located in different protected areas ({G}onarezhou {N}ational {P}ark and {H}wange {N}ational {P}ark, {Z}imbabwe; {K}ruger {N}ational {P}ark, {S}outh {A}frica) to investigate the patterns and environmental drivers of fission-fusion dynamics among populations. {W}e estimated home range overlap and fission and fusion events between {C}ape buffalo dyads. {W}e investigated the temporal dynamics of both events at daily and seasonal scales and examined the influence of habitat and distance to water on event location. {F}ission-fusion dynamics were generally consistent across populations: {F}ission and fusion periods lasted on average between less than one day and three days. {H}owever, we found seasonal differences in the underlying patterns of fission and fusion, which point out the likely influence of resource availability and distribution in time on group dynamics: {D}uring the wet season, {C}ape buffalo split and associated more frequently and were in the same or in a different subgroup for shorter periods. {C}ape buffalo subgroups were more likely to merge than to split in open areas located near water, but overall vegetation and distance to water were very poor predictors of where fission and fusion events occurred. {T}his study is one of the first to quantify fission-fusion dynamics in a single species across several populations with a common methodology, thus robustly questioning the behavioral flexibility of fission-fusion dynamics among environments.}, keywords = {association patterns ; dyadic interactions ; home range overlap ; multi-population ; seasonality ; {ZIMBABWE} ; {AFRIQUE} {DU} {SUD} ; {HWANGE} {PARC} {NATIONAL} ; {GONARHEZOU} {PARC} {NATIONAL} ; {KRUGER} {PARC} {NATIONAL}}, booktitle = {}, journal = {{E}cology and {E}volution}, volume = {10}, numero = {17}, pages = {9240--9256}, ISSN = {2045-7758}, year = {2020}, DOI = {10.1002/ece3.6608}, URL = {https://www.documentation.ird.fr/hor/fdi:010079517}, }