Diversitas Plankton di Perairan Pantai Sire Kabupaten Lombok Utara

Plankton has an important role for aquatic ecosystems, especially in the food network in a waters. This study aims to assess the abundance and diversity index of plankton in Sire Beach, North Lombok Regency. The study was conducted in September 2019 using purposive sampling with 9 sample points. The water sample was filtered using plankton net then put into the sample bottle for identification in the laboratory. Shannon-Wienner Index was used for determining diversity of plankton species. The types of plankton found were 12 genera of phytoplankton from the Bacillariophyta group, including: Biddulphia, Coscinodiscus, Cocconeis, Cylindrotheca, Diploneis, Fragilaria, Gyrosigma, Licmophora, Navicula, Nitzschia, Pleurosigma, and Triceratium. The highest abundance of phytoplankton belonged to Coscinodiscus species as many as 1.380 cells/l at station 2.3. The high abundance of Coscinodiscus might be due to a nutrient supply in these waters. Seagrass ecosystem was thought to have an important role in obtaining nutrients for phytoplankton. Diversity index has a value which ranges between 1.117505-1.841236 showing that it is in the medium category. The uniformity index ranges from 0.450718-0.673373 indicating that the distribution of plankton species in each station is even. The dominance index ranges from 0.233508-0.522215. This shows that there is no type of plankton that dominates the waters of Sire Beach. This is due to the abundance of plankton species at each station which is fairly evenly distributed.

Keanekaragaman Jenis Plankton pada Akar dan Perairan Sekitar Mangrove Desa Lembar Selatan, Kabupaten Lombok Barat

The mangrove ecosystem is one of the ecosystems in the estuary area that is unique and very sensitive to environmental changes. The large number of aquaculture businesses around Cemare Hamlet, West Lombok Regency have resulted in many mangrove areas being converted into pond cultivation locations. This will have an impact on the life of mangrove ecosystems such as plankton. This study aims to determine the abundance of plankton species around the mangrove area of ??Dusun Cemare, Sheet Selatan Village, West Lombok Regency. The research was conducted in May-October 2019 using a purposive sampling method by determining 7 stations to represent water conditions. Plankton analysis using the Lackey drop microtranscting method. The results showed that the mangrove ecosystem in Dusun Cemare was composed of 4 types, namely: Rhizophora sp., Avicenia sp., Bruguiera sp., And Soneratia sp. The plankton community in mangrove waters is composed of 13 types, while the abundance of plankton species (periphyton) attached to the mangrove roots consists of 6 types. The composition of plankton species which tends to be high indicates that the mangrove waters of Dusun Cemare are still feasible to sustain the survival of the associated biota in it.

Transcriptomics and metatranscriptomics in zooplankton: wave of the future?

Molecular tools have changed the understanding of zooplankton biodiversity, speciation, adaptation, population genetics and global patterns of connectivity. However, the molecular resources needed to capitalize on these advances continue to be limited in comparison with those available for other eukaryotic plankton. This deficiency could be addressed through an Ocean Zooplankton Open ‘Omics Project (Ocean ZOOP) that would generate de novo assembled transcriptomes for hundreds of metazoan plankton species. A collection of comparable reference transcriptomes would generate a new framework for ecological and physiological studies. Defining species niches, identifying optimal habitats, assessing adaptive capacity and predicting changes in phenology are just a few examples of how such a resource could transform studies on zooplankton ecology.

Marine plankton show threshold extinction response to Neogene climate change

Ongoing climate change is predicted to trigger major shifts in the geographic distribution of marine plankton species. However, it remains unclear whether species will successfully track optimal habitats to new regions, or face extinction. Here we show that one significant zooplankton group, the radiolaria, underwent a severe decline in high latitude species richness presaged by ecologic reorganization during the late Neogene, a time of amplified polar cooling. We find that the majority (71%) of affected species did not relocate to the warmer low latitudes, but went extinct. This indicates that some plankton species cannot track optimal temperatures on a global scale as assumed by ecologic models; instead, assemblages undergo restructuring and extinction once local environmental thresholds are exceeded. This pattern forewarns profound diversity loss of high latitude radiolaria in the near future, which may have cascading effects on the ocean food web and carbon cycle.

A NOTE ON THE ECOSYSTEM HEALTH OF A GLACIER-FED RIVER PINDER FROM CHAMOLI GARHWAL, UTTARAKHAND

The paper deals with a summarized account of ecological characteristics and biological productivity of river Pinder which is well known for its water quality conducive for the most important schizothoracine fishery of Uttarakhand. It was observed that the low water temperature and clarity of water favours good populations of phytobenthos and macrozoobenthos which in their turn supports the population quality of fishes. Overall 32 plankton species, 23 macrozoobenthic and 24 fish species were recorded.

A NOTE ON THE ECOSYSTEM HEALTH OF A GLACIER-FED RIVER PINDER FROM CHAMOLI GARHWAL, UTTARAKHAND

The paper deals with a summarized account of ecological characteristics and biological productivity of river Pinder which is well known for its water quality conducive for the most important schizothoracine fishery of Uttarakhand. It was observed that the low water temperature and clarity of water favours good populations of phytobenthos and macrozoobenthos which in their turn supports the population quality of fishes. Overall 32 plankton species, 23 macrozoobenthic and 24 fish species were recorded.

Annotation-free Learning of Plankton for Classification and Anomaly Detection

The acquisition of increasingly large plankton digital image datasets requires automatic methods of recognition and classification. As data size and collection speed increases, manual annotation and database representation are often bottlenecks for utilization of machine learning algorithms for taxonomic classification of plankton species in field studies. In this paper we present a novel set of algorithms to perform accurate detection and classification of plankton species with minimal supervision. Our algorithms approach the performance of existing supervised machine learning algorithms when tested on a plankton dataset generated from a custom-built lensless digital device. Similar results are obtained on a larger image dataset obtained from the Woods Hole Oceanographic Institution. Our algorithms are designed to provide a new way to monitor the environment with a class of rapid online intelligent detectors.Author SummaryPlankton are at the bottom of the aquatic food chain and marine phytoplankton are estimated to be responsible for over 50% of all global primary production [1] and play a fundamental role in climate regulation. Thus, changes in plankton ecology may have a profound impact on global climate, as well as deep social and economic consequences. It seems therefore paramount to collect and analyze real time plankton data to understand the relationship between the health of plankton and the health of the environment they live in. In this paper, we present a novel set of algorithms to perform accurate detection and classification of plankton species with minimal supervision. The proposed pipeline is designed to provide a new way to monitor the environment with a class of rapid online intelligent detectors.

Plankton Biodiversity Mapped Globally

A team of scientists sailed around the world to catalog the diversity of plankton species in the ocean. Their findings have important economic implications as climate warms.