{"id":{"repo_id":"usfca","oai_identifier":"oai:repository.usfca.edu:capstone-1599"},"canonical_url":"https://search.dev.ndltd.org/etd/usfca/oai:repository.usfca.edu:capstone-1599","repository":{"repo_id":"usfca","name":"University of San Francisco","base_url":"https://repository.usfca.edu/do/oai/"},"display":{"title":"Pathways of Transport of Microcystin-LR from Microcystis aergonisa to the Benthic Environment","abstract":"<p>Cyanobacterial harmful algal blooms (CHAB’s) are a global concern that affect humans and wildlife. <em>Microcystis aeruginosa </em>(<em>Microcystis)</em> is a freshwater photosynthetic cyanobacterium that is planktonic during warm months but has an overwintering benthic phase. <em>Microcystis </em>create toxins, including microcystins that can lead to liver damage and cancer in aquatic life, livestock and humans. Microcystins can be stored intracellularly or released into the water column in a dissolved form. Most studies focus on <em>Microcystis </em>in its planktonic state, but not on transport of microcystins. More recently, microcystins have become a threat to coastal systems that are linked to freshwater inputs. The goal of this paper is to determine pathways of transport of <em>Microcystis </em>and microcystins in estuary systems. This paper synthesizes literature on environmental factors that increase <em>Microcystis </em>blooms and how their microcystins accumulate in sediments and bivalves. The interaction between the water column and sediments is an important role for predicting future <em>Microcystis </em>blooms. Bivalves are known to be bioindicators of contaminants, since they are sessile organisms that are filter feeders and deposit feed from sediment bottoms. To current knowledge, there is no mandated CHAB monitoring in California, which is important to predict or mitigate future blooms. The results of this paper indicate remote sensing, water quality monitoring, and sediment monitoring are useful strategies to not only predict but mitigate blooms. Freshwater and marine bivalves should also be monitored since they are bioindicators of potential impacts to ecological health. By incorporating multiple monitoring components, the data can be integrated into models to not only predict future CHAB’s but also determine the drivers of blooms.</p>","abstract_html":"&lt;p&gt;Cyanobacterial harmful algal blooms (CHAB’s) are a global concern that affect humans and wildlife. &lt;em&gt;Microcystis aeruginosa &lt;/em&gt;(&lt;em&gt;Microcystis)&lt;/em&gt; is a freshwater photosynthetic cyanobacterium that is planktonic during warm months but has an overwintering benthic phase. &lt;em&gt;Microcystis &lt;/em&gt;create toxins, including microcystins that can lead to liver damage and cancer in aquatic life, livestock and humans. Microcystins can be stored intracellularly or released into the water column in a dissolved form. Most studies focus on &lt;em&gt;Microcystis &lt;/em&gt;in its planktonic state, but not on transport of microcystins. More recently, microcystins have become a threat to coastal systems that are linked to freshwater inputs. The goal of this paper is to determine pathways of transport of &lt;em&gt;Microcystis &lt;/em&gt;and microcystins in estuary systems. This paper synthesizes literature on environmental factors that increase &lt;em&gt;Microcystis &lt;/em&gt;blooms and how their microcystins accumulate in sediments and bivalves. The interaction between the water column and sediments is an important role for predicting future &lt;em&gt;Microcystis &lt;/em&gt;blooms. Bivalves are known to be bioindicators of contaminants, since they are sessile organisms that are filter feeders and deposit feed from sediment bottoms. To current knowledge, there is no mandated CHAB monitoring in California, which is important to predict or mitigate future blooms. The results of this paper indicate remote sensing, water quality monitoring, and sediment monitoring are useful strategies to not only predict but mitigate blooms. Freshwater and marine bivalves should also be monitored since they are bioindicators of potential impacts to ecological health. By incorporating multiple monitoring components, the data can be integrated into models to not only predict future CHAB’s but also determine the drivers of blooms.&lt;/p&gt;","abstract_has_math":false,"creators":["Rinde, Jenna M"],"institution":null,"degree_name":"Master of Science in Environmental Management (MSEM)","degree_level":"Restricted Project/Capstone - USF access only","degree_discipline":"Environmental Management","degree_department":null,"school":null,"contributors":["Dr. Amalia Kokkinaki"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-05-19T07:00:00Z","date_published":"2017-05-19T07:00:00Z","updated_at":"2026-07-24T05:44:00Z","subjects":["microcystin-LR","environmental monitoring","water quality","sediment","bivalve","conceptual model"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repository.usfca.edu/capstone/573","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Amalia Kokkinaki"]},{"key":"dc:creator","label":"Author","values":["Rinde, Jenna M"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2020-06-03T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Environmental Management"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Restricted Project/Capstone - USF access only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Environmental Management (MSEM)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["microcystin-LR","environmental monitoring","water quality","sediment","bivalve","conceptual model"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.usfca.edu/capstone/573"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Cyanobacterial harmful algal blooms (CHAB’s) are a global concern that affect humans and wildlife. <em>Microcystis aeruginosa </em>(<em>Microcystis)</em> is a freshwater photosynthetic cyanobacterium that is planktonic during warm months but has an overwintering benthic phase. <em>Microcystis </em>create toxins, including microcystins that can lead to liver damage and cancer in aquatic life, livestock and humans. Microcystins can be stored intracellularly or released into the water column in a dissolved form. Most studies focus on <em>Microcystis </em>in its planktonic state, but not on transport of microcystins. More recently, microcystins have become a threat to coastal systems that are linked to freshwater inputs. The goal of this paper is to determine pathways of transport of <em>Microcystis </em>and microcystins in estuary systems. This paper synthesizes literature on environmental factors that increase <em>Microcystis </em>blooms and how their microcystins accumulate in sediments and bivalves. The interaction between the water column and sediments is an important role for predicting future <em>Microcystis </em>blooms. Bivalves are known to be bioindicators of contaminants, since they are sessile organisms that are filter feeders and deposit feed from sediment bottoms. To current knowledge, there is no mandated CHAB monitoring in California, which is important to predict or mitigate future blooms. The results of this paper indicate remote sensing, water quality monitoring, and sediment monitoring are useful strategies to not only predict but mitigate blooms. Freshwater and marine bivalves should also be monitored since they are bioindicators of potential impacts to ecological health. By incorporating multiple monitoring components, the data can be integrated into models to not only predict future CHAB’s but also determine the drivers of blooms.</p>"]},{"key":"dc:title","label":"Title","values":["Pathways of Transport of Microcystin-LR from Microcystis aergonisa to the Benthic Environment"]}]}],"canonical_facts":{"dc:contributor":["Dr. Amalia Kokkinaki"],"dc:creator":["Rinde, Jenna M"],"dc:date.available":["2020-06-03T07:00:00Z"],"dc:description.abstract":["<p>Cyanobacterial harmful algal blooms (CHAB’s) are a global concern that affect humans and wildlife. <em>Microcystis aeruginosa </em>(<em>Microcystis)</em> is a freshwater photosynthetic cyanobacterium that is planktonic during warm months but has an overwintering benthic phase. <em>Microcystis </em>create toxins, including microcystins that can lead to liver damage and cancer in aquatic life, livestock and humans. Microcystins can be stored intracellularly or released into the water column in a dissolved form. Most studies focus on <em>Microcystis </em>in its planktonic state, but not on transport of microcystins. More recently, microcystins have become a threat to coastal systems that are linked to freshwater inputs. The goal of this paper is to determine pathways of transport of <em>Microcystis </em>and microcystins in estuary systems. This paper synthesizes literature on environmental factors that increase <em>Microcystis </em>blooms and how their microcystins accumulate in sediments and bivalves. The interaction between the water column and sediments is an important role for predicting future <em>Microcystis </em>blooms. Bivalves are known to be bioindicators of contaminants, since they are sessile organisms that are filter feeders and deposit feed from sediment bottoms. To current knowledge, there is no mandated CHAB monitoring in California, which is important to predict or mitigate future blooms. The results of this paper indicate remote sensing, water quality monitoring, and sediment monitoring are useful strategies to not only predict but mitigate blooms. Freshwater and marine bivalves should also be monitored since they are bioindicators of potential impacts to ecological health. By incorporating multiple monitoring components, the data can be integrated into models to not only predict future CHAB’s but also determine the drivers of blooms.</p>"],"dc:identifier":["https://repository.usfca.edu/capstone/573"],"dc:subject":["microcystin-LR","environmental monitoring","water quality","sediment","bivalve","conceptual model"],"dc:title":["Pathways of Transport of Microcystin-LR from Microcystis aergonisa to the Benthic Environment"],"thesis:degree_discipline":["Environmental Management"],"thesis:degree_level":["Restricted Project/Capstone - USF access only"],"thesis:degree_name":["Master of Science in Environmental Management (MSEM)"]},"updated_at":"2026-07-24T05:44:00Z"}