growth patterns
2 stories filed under growth patterns on World Data Ocean. The newest of them: “Measuring growth patterns in Sarasota Bay dolphins through integrated data methods” and “Microbial communities may drive invasive seagrass growth in mixed meadows”. Fifty years of hands-on measurements reveal what remote sensing cannot: the subtle growth patterns of individual bottlenose dolphins in Sarasota Bay. Microbial communities may hold the key to why the invasive seagrass *Halophila stipulacea* thrives alongside native Mediterranean species like *Cymodocea nodosa*, while the native suffers. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every growth patterns story on World Data Ocean, newest first.

Measuring growth patterns in Sarasota Bay dolphins through integrated data methods
Fifty years of hands-on measurements reveal what remote sensing cannot: the subtle growth patterns of individual bottlenose dolphins in Sarasota Bay. By modeling repeated data from 277 animals, this study finds sexual dimorphism across twenty body traits, males grow larger, females mature faster, with strikingly low individual variation. Understanding these sex-specific developmental pathways sharpens our view of how morphology shapes adaptation. For deeper context on seasonal pressures, see our related work on the metabolic cost of seasonal change for these same dolphins.
Microbial communities may drive invasive seagrass growth in mixed meadows
Microbial communities may hold the key to why the invasive seagrass *Halophila stipulacea* thrives alongside native Mediterranean species like *Cymodocea nodosa*, while the native suffers. Our analysis of 16S rRNA genes reveals distinct bacterial assemblages: the native's microbiome shifts under stress, but the invader's bacterial diversity flourishes precisely in mixed environments, where its growth accelerates. This is not passive colonization; it suggests a competitive edge shaped by unseen allies. Understanding these microbial drivers is essential for predicting invasion dynamics.