Protect high seas biodiversity

Biodiversity, environmental drivers, and sustainability of the global deep-sea sponge microbiome

In the deep ocean symbioses between microbes and invertebrates are emerging as key drivers of ecosystem health and services. We present a large-scale analysis of microbial diversity in deep-sea sponges (Porifera) from scales of sponge individuals to ocean basins, covering 52 locations, 1077 host individuals translating into 169 sponge species (including understudied glass sponges), and 469 reference samples, collected anew during 21 ship-based expeditions. We demonstrate the impacts of the sponge microbial abundance status, geographic distance, sponge phylogeny, and the physical-biogeochemical environment as drivers of microbiome composition, in descending order of relevance. Our study further discloses that fundamental concepts of sponge microbiology apply robustly to sponges from the deep-sea across distances of >10,000 km. Deep-sea sponge microbiomes are less complex, yet more heterogeneous, than their shallow-water counterparts. Our analysis underscores the uniqueness of each deep-sea sponge ground based on which we provide critical knowledge for conservation of these vulnerable ecosystems.

This study presents a large-scale analysis of microbial diversity in deep-sea sponges. They show that sponge microbial abundance status, geographic distance, sponge phylogeny and the physical-biogeochemical environment drive microbiome composition, in descending order of relevance. The uniqueness of each deep-sea sponge ground stresses the need for their strategic preservation.

Anthropogenic debris in an Antarctic Specially Protected Area in the maritime Antarctic

Antarctic Specially Protected Areas (ASPAs) provide the strongest environmental protection in Antarctica. However, they are not immune from anthropogenic pollution of marine or terrestrial origin. We document anthropogenic debris within ASPA No. 133 Harmony Point, Nelson Island, recovering 1544 items between November 2019 and January 2020. The majority (82.6 %) were found close to a national operator-constructed refuge and were smaller than 5 cm. Larger items (up to 300 cm) were present on beaches and plateaus. Charcoal and rubber were the most abundant items around the refuge and plastic and metal were the most abundant items on beaches and plateaus. Debris items likely arriving in the area by marine transportation (e.g. plastic) are of concern due to both risk of ingestion and their degradation leading to the release of hazardous chemicals. Such pollution contravenes the terms of the Protocol on Environmental Protection to the Antarctic Treaty and other regionally applicable regulations.

Using Drones to Measure Jellyfish Density in Shallow Estuaries

Understanding jellyfish ecology and roles in coastal ecosystems is challenging due to their patchy distribution. While standard net sampling or manned aircraft surveys are inefficient, Unmanned Aerial Vehicles (UAVs) or drones represent a promising alternative for data collection. In this technical report, we used pictures taken from a small drone to estimate the density of Aurelia sp. in a shallow fjord with a narrow entrance, where the population dynamic is well-known. We investigated the ability of an image processing software to count small and translucent jellyfish from the drone pictures at three locations with different environmental conditions (sun glare, waves or seagrass). Densities of Aurelia sp. estimated from semiautomated and manual counts from drone images were similar to densities estimated by netting. The semiautomated program was able to highlight the medusae from the background in order to discard false detections of items unlikely to be jellyfish. In spite of this, some objects (e.g., seagrass) were hardly distinguishable from jellyfish and resulted in a small number of false positives. This report presents a preview of the possible applications of drones to observe small and fragile jellyfishes, for which in situ sampling remains delicate. Drones may represent a noninvasive approach to monitoring jellyfish abundance over time, enabling the collection of a large amount of data in a short time. Software development may be useful for automatically measuring jellyfish size and even population biomass.