0000000000761747

AUTHOR

Damien R. Farine

0000-0003-2208-7613

showing 2 related works from this author

Mixed company : a framework for understanding the composition and organization of mixed‐species animal groups

2020

Mixed‐species animal groups (MSGs) are widely acknowledged to increase predator avoidance and foraging efficiency, among other benefits, and thereby increase participants' fitness. Diversity in MSG composition ranges from two to 70 species of very similar or completely different phenotypes. Yet consistency in organization is also observable in that one or a few species usually have disproportionate importance for MSG formation and/or maintenance. We propose a two‐dimensional framework for understanding this diversity and consistency, concentrating on the types of interactions possible between two individuals, usually of different species. One axis represents the similarity of benefit types …

0106 biological sciencesevolution of socialityTime Factorsmutualismspecies networksForagingSpatial Behavior010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyBirdsMicroeconomicsinterspecific communicationEating03 medical and health sciencesMixed speciesddc:570Animalsco‐evolutionSocial informationKeystone species030304 developmental biologyMammalsMutualism (biology)0303 health sciencesBehavior AnimalFishesReptilesGroup compositionOriginal ArticlesBiodiversityFeeding BehaviorBiological EvolutionAnimal groupsPredatory BehaviorMimicrypublic informationOriginal ArticleBusinessGeneral Agricultural and Biological SciencesBehavior Observation Techniquesmimicrykeystone species
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Connecting the data landscape of long-term ecological studies: the SPI-Birds data hub

2021

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and eco-logical processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change).

SELECTION0106 biological sciencesZOOLOGIADatabases Factual05 Environmental Sciences:Zoology and botany: 480 [VDP]Research network01 natural scienceslong‐term studiesBehavioral EcologyData standardsmeta‐data standardsData hubComputingMilieux_MISCELLANEOUSResearch Articlesmeta‐PERSONALITYCLIMATE-CHANGEEcologyEnvironmental resource managementALTERmeta&#8208birds data standards database FAIR data long-term studies meta-data standards research networkPE&RCGedragsecologieChemistryGeographyinternational[SDE]Environmental Sciences1181 Ecology evolutionary biologyPOPULATIONSPlan_S-Compliant_OALife Sciences & Biomedicinelong‐Research ArticleCLUTCH-SIZELong-term studiesEnvironmental Sciences & EcologyAnimal Breeding and GenomicsZoologi15.- Proteger restaurar y promover la utilización sostenible de los ecosistemas terrestres gestionar de manera sostenible los bosques combatir la desertificación y detener y revertir la degradación de la tierra y frenar la pérdida de diversidad biológica010603 evolutionary biologyBirdsDatabase07 Agricultural and Veterinary Sciencesddc:570VDP::Mathematics and natural scienses: 400::Zoology and botany: 480AnimalsFokkerij en Genomica:Zoologiske og botaniske fag: 480 [VDP]BiologyEcology Evolution Behavior and SystematicsMeta-data standardsMetadataFAIR dataScience & Technologylong&#8208business.industry010604 marine biology & hydrobiology06 Biological Sciences15. Life on landdatabase ; meta-data standards ; long-term studies ; birds ; data standards ; FAIR data ; research networkEVOLUTIONTerm (time)13. Climate actionResearch councilVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480Animal Science and Zoologyterm studiesGREAT TITSbusinessZoologybirds ; data standards ; database ; FAIR data ; long-term studies ; meta-data standards ; research networkRESPONSES
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