standing biomass
standing biomass on World Data Ocean: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on standing biomass in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around standing biomass, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
Autonomous quantification of kelp biomass on offshore aquaculture installations using side scan sonar
The escalating global demand for macroalgae—driven by its potential as a sustainable food source, carbon dioxide removal tool, and resource for pharmaceuticals—necessitates efficient monitoring methods. Traditional techniques are costly and limited in scope. This research introduces an innovative approach: autonomous quantification of kelp biomass on offshore aquaculture installations using side scan sonar. Our validated method estimates kelp height and standing biomass, demonstrated on a commercial installation off Santa Barbara, California.
Limitations of using the canopy to infer the structure and functioning of giant kelp forests
Remote sensing of floating kelp canopies offers a readily accessible method for assessing giant kelp forest dynamics, yet the validity of this approach remains largely unexamined. This study investigates the relationship between surface canopy biomass and the underlying structural complexity of *Macrocystis pyrifera* forests across three California sites, revealing that canopies represent only 12-38% of total biomass. While canopy biomass correlates with total kelp biomass, it poorly predicts plant density or morphology, highlighting limitations for assessing forest structure.