@article{
 title = {Testing sexual segregation and aggregation: old ways are best},
 type = {article},
 year = {2007},
 pages = {3202-3208},
 volume = {88},
 id = {f8823b35-4cb7-3a01-b5b8-9548b3061001},
 created = {2010-11-03T21:13:25.000Z},
 file_attached = {true},
 profile_id = {976aa121-3316-304c-8340-7ca54d70abe6},
 last_modified = {2017-03-16T14:38:37.564Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Bonenfant2007},
 source_type = {article},
 private_publication = {false},
 abstract = {The study of sexual segregation has received increasing attention
over the last two decades. Several hypotheses have been proposed
to explain the existence of sexual segregation, such as the "predation
risk hypothesis", the "forage selection hypothesis", and the "activity
budget hypothesis". Testing which hypothesis drives sexual segregation
is hampered, however, by the lack of consensus regarding a formal
measurement of sexual segregation. By using a derivation of the well-known
chi-square (here called the sexual segregation and aggregation statistic
[SSAS]) instead of existent segregation coefficients, we offer a
reliable way to test for temporal variation in the occurrence of
sexual segregation and aggregation, even in cases where a large proportion
of animals are observed alone. A randomization procedure provides
a test for the null hypothesis of independence of the distributions
of males and females among the groups. The usefulness of SSAS in
the study of sexual segregation is demonstrated with three case studies
on ungulate populations belonging to species with contrasting life
histories and annual grouping patterns (isard, red deer, and roe
deer). The existent segregation coefficients were unreliable since,
for a given value, sexual segregation could or could not occur. Similarly,
the existent segregation coefficients performed badly when males
and females aggregated. The new SSAS was not prone to such limitations
and allowed clear conclusions regarding whether males and females
segregate, aggregate, or simply mix at random applicable to all species.},
 bibtype = {article},
 author = {Bonenfant, C and Gaillard, J M and Dray, Stéphane and Loison, A and Royer, M and Chessel, D},
 journal = {Ecology}
}

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Several hypotheses have been proposed\nto explain the existence of sexual segregation, such as the \"predation\nrisk hypothesis\", the \"forage selection hypothesis\", and the \"activity\nbudget hypothesis\". Testing which hypothesis drives sexual segregation\nis hampered, however, by the lack of consensus regarding a formal\nmeasurement of sexual segregation. By using a derivation of the well-known\nchi-square (here called the sexual segregation and aggregation statistic\n[SSAS]) instead of existent segregation coefficients, we offer a\nreliable way to test for temporal variation in the occurrence of\nsexual segregation and aggregation, even in cases where a large proportion\nof animals are observed alone. A randomization procedure provides\na test for the null hypothesis of independence of the distributions\nof males and females among the groups. The usefulness of SSAS in\nthe study of sexual segregation is demonstrated with three case studies\non ungulate populations belonging to species with contrasting life\nhistories and annual grouping patterns (isard, red deer, and roe\ndeer). The existent segregation coefficients were unreliable since,\nfor a given value, sexual segregation could or could not occur. Similarly,\nthe existent segregation coefficients performed badly when males\nand females aggregated. The new SSAS was not prone to such limitations\nand allowed clear conclusions regarding whether males and females\nsegregate, aggregate, or simply mix at random applicable to all species.","bibtype":"article","author":"Bonenfant, C and Gaillard, J M and Dray, Stéphane and Loison, A and Royer, M and Chessel, D","journal":"Ecology","bibtex":"@article{\n title = {Testing sexual segregation and aggregation: old ways are best},\n type = {article},\n year = {2007},\n pages = {3202-3208},\n volume = {88},\n id = {f8823b35-4cb7-3a01-b5b8-9548b3061001},\n created = {2010-11-03T21:13:25.000Z},\n file_attached = {true},\n profile_id = {976aa121-3316-304c-8340-7ca54d70abe6},\n last_modified = {2017-03-16T14:38:37.564Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Bonenfant2007},\n source_type = {article},\n private_publication = {false},\n abstract = {The study of sexual segregation has received increasing attention\nover the last two decades. Several hypotheses have been proposed\nto explain the existence of sexual segregation, such as the \"predation\nrisk hypothesis\", the \"forage selection hypothesis\", and the \"activity\nbudget hypothesis\". Testing which hypothesis drives sexual segregation\nis hampered, however, by the lack of consensus regarding a formal\nmeasurement of sexual segregation. By using a derivation of the well-known\nchi-square (here called the sexual segregation and aggregation statistic\n[SSAS]) instead of existent segregation coefficients, we offer a\nreliable way to test for temporal variation in the occurrence of\nsexual segregation and aggregation, even in cases where a large proportion\nof animals are observed alone. A randomization procedure provides\na test for the null hypothesis of independence of the distributions\nof males and females among the groups. The usefulness of SSAS in\nthe study of sexual segregation is demonstrated with three case studies\non ungulate populations belonging to species with contrasting life\nhistories and annual grouping patterns (isard, red deer, and roe\ndeer). The existent segregation coefficients were unreliable since,\nfor a given value, sexual segregation could or could not occur. Similarly,\nthe existent segregation coefficients performed badly when males\nand females aggregated. The new SSAS was not prone to such limitations\nand allowed clear conclusions regarding whether males and females\nsegregate, aggregate, or simply mix at random applicable to all species.},\n bibtype = {article},\n author = {Bonenfant, C and Gaillard, J M and Dray, Stéphane and Loison, A and Royer, M and Chessel, D},\n journal = {Ecology}\n}","author_short":["Bonenfant, C.","Gaillard, J., M.","Dray, S.","Loison, A.","Royer, M.","Chessel, D."],"biburl":"https://bibbase.org/service/mendeley/2845861","bibbaseid":"bonenfant-gaillard-dray-loison-royer-chessel-testingsexualsegregationandaggregationoldwaysarebest-2007","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://bibbase.org/service/mendeley/2845861","dataSources":["2252seNhipfTmjEBQ"],"keywords":[],"search_terms":["testing","sexual","segregation","aggregation","old","ways","best","bonenfant","gaillard","dray","loison","royer","chessel"],"title":"Testing sexual segregation and aggregation: old ways are best","year":2007}