Application of geoacoustic inference for ecosystem monitoring of a seagrass meadow

2018 ◽  
Vol 144 (3) ◽  
pp. 1913-1913
Author(s):  
Megan S. Ballard ◽  
Jason D. Sagers ◽  
Gabriel R. Venegas ◽  
Kevin M. Lee ◽  
Andrew R. McNeese ◽  
...  
Keyword(s):  
Seagrass Meadow ◽  
Ecosystem Monitoring

Ecosystem monitoring of a seagrass meadow using wideband acoustic measurements

2021 ◽  
Vol 150 (4) ◽  
pp. A351-A351
Author(s):  
Megan S. Ballard ◽  
Kevin M. Lee ◽  
Andrew R. McNeese ◽  
Gabriel R. Venegas ◽  
Abdullah F. Rahman ◽  
...  
Keyword(s):  
Seagrass Meadow ◽  
Acoustic Measurements ◽  
Ecosystem Monitoring

scholarly journals Application of acoustical remote sensing techniques for ecosystem monitoring of a seagrass meadow

2020 ◽  
Vol 147 (3) ◽  
pp. 2002-2019 ◽  
Author(s):  
Megan S. Ballard ◽  
Kevin M. Lee ◽  
Jason D. Sagers ◽  
Gabriel R. Venegas ◽  
Andrew R. McNeese ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Seagrass Meadow ◽  
Ecosystem Monitoring ◽  
Remote Sensing Techniques

scholarly journals Variation in Phenolic Chemistry in Zostera marina Seagrass along Environmental Gradients

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 334
Author(s):  
Cecilie Sævdal Dybsland ◽  
Trine Bekkby ◽  
Kjersti Hasle Enerstvedt ◽  
Olav M. Kvalheim ◽  
Eli Rinde ◽  
...  
Keyword(s):  
Zostera Marina ◽  
Rosmarinic Acid ◽  
Seagrass Meadow ◽  
Wave Exposure ◽  
Full Potential ◽  
Monitoring Tool ◽  
Higher Plant ◽  
Ecosystem Monitoring ◽  
Seagrass Ecosystem ◽  
Acid Ratio

Chemical ecology has been suggested as a less time-consuming and more cost-efficient monitoring tool of seagrass ecosystems than traditional methods. Phenolic chemistry in Zostera marina samples was analyzed against latitude, sea depth, sample position within a seagrass meadow (periphery or center) and wave exposure. Multivariate data analysis showed that rosmarinic acid correlated moderately positively with depth, while the flavonoids had an overall strong negative correlation with increasing depth—possibly reflecting lack of stress-induced conditions with increasing depth, rather than a different response to light conditions. At a molecular level, the flavonoids were separated into two groups; one group is well described by the variables of depth and wave exposure, and the other group that was not well described by these variables—the latter may reflect biosynthetic dependencies or other unrevealed factors. A higher flavonoid/rosmarinic acid ratio was seen in the periphery of a seagrass meadow, while the contrary ratio was seen in the center. This may reflect higher plant stress in the periphery of a meadow, and the flavonoid/rosmarinic acid ratio may provide a possible molecular index of seagrass ecosystem health. Further studies are needed before the full potential of using variation in phenolic chemistry as a seagrass ecosystem monitoring tool is established.

scholarly journals Using the Global Hydrodynamic Model and GRACE Follow-On Data to Access the 2020 Catastrophic Flood in Yangtze River Basin

2021 ◽  
Vol 13 (15) ◽  
pp. 3023
Author(s):  
Jinghua Xiong ◽  
Shenglian Guo ◽  
Jiabo Yin ◽  
Lei Gu ◽  
Feng Xiong
Keyword(s):  
River Basin ◽  
Hydrodynamic Model ◽  
Yangtze River ◽  
Large Scale ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
Ecosystem Monitoring ◽  
Catastrophic Flood ◽  
Basin Scale ◽  
The Yangtze River Basin

Flooding is one of the most widespread and frequent weather-related hazards that has devastating impacts on the society and ecosystem. Monitoring flooding is a vital issue for water resources management, socioeconomic sustainable development, and maintaining life safety. By integrating multiple precipitation, evapotranspiration, and GRACE-Follow On (GRAFO) terrestrial water storage anomaly (TWSA) datasets, this study uses the water balance principle coupled with the CaMa-Flood hydrodynamic model to access the spatiotemporal discharge variations in the Yangtze River basin during the 2020 catastrophic flood. The results show that: (1) TWSA bias dominates the overall uncertainty in runoff at the basin scale, which is spatially governed by uncertainty in TWSA and precipitation; (2) spatially, a field significance at the 5% level is discovered for the correlations between GRAFO-based runoff and GLDAS results. The GRAFO-derived discharge series has a high correlation coefficient with either in situ observations and hydrological simulations for the Yangtze River basin, at the 0.01 significance level; (3) the GRAFO-derived discharge observes the flood peaks in July and August and the recession process in October 2020. Our developed approach provides an alternative way of monitoring large-scale extreme hydrological events with the latest GRAFO release and CaMa-Flood model.

Responses of American Alligators (Alligator mississippiensis) to Environmental Conditions: Implications for Population and Ecosystem Monitoring

Herpetologica ◽  
2015 ◽  
Vol 71 (1) ◽  
pp. 37-45 ◽  
Author(s):  
Cord B. Eversole ◽  
Scott E. Henke ◽  
David B. Wester ◽  
Bart M. Ballard ◽  
Randy L. Powell
Keyword(s):  
Environmental Conditions ◽  
Alligator Mississippiensis ◽  
Ecosystem Monitoring ◽  
American Alligators

Seagrass surveys in Shwe Thaung Yan coastal areas, the southern part of Rakhine Coastal Region, Myanmar: biodiversity, coverage and biomass

2019 ◽  
Vol 8 (3) ◽  
pp. 105-112
Author(s):  
Thu- Rein
Keyword(s):  
Seasonal Variations ◽  
Seagrass Meadow ◽  
Monsoon Season ◽  
Coastal Region ◽  
Coastal Areas ◽  
Dry Season ◽  
Percent Cover ◽  
Study Sites ◽  
Seagrass Coverage

Studies on percent cover and biomass of seagrasses from Shwe Thaung Yan coastal areas (Inn Din Gyi, Kyauk Nagar and Phoe Htaung Gyaing), the Southern parts of Rakhine Coastal Region, were carried out between March and August, 2018. A total of 8 species of seagrasses, namely Syringodiumisoetifolium (Ascherson) Danty, Halodulepinifolia (Miki) den Hartog, Haloduleuninervis (Forsskal) Ascherson, Cymodocearotundata Ehrenberg et Hemprich ex Ascherson, C. serrulata (R. Brown) Ascherson et Magnus, Thalassiahemprichii(Ehrenberg) Ascherson, Halophila major (Zoll.) Miquel and Enhalusacoroides (Linnaeus f.) Royle, were recorded in three study sites. Seagrass meadow in this study showed seasonal variations in both percent cover and biomass. Total seagrass coverage and biomass were higher in the dry season than in the monsoon season. Total seagrass coverage ranged between 8% and 75% in Phoe Htaung Gyaing, between 10% and 42% in Kyauk Nagar, and between 15% and 43% in Inn Din Gyi. Total seagrass mean biomass was 50.2413-259.846gdry.wtm-2 in Phoe Htaung Gyaing, 63.0194 -321.535gdry.wtm-2 in Kyauk Nagar, and 98.6819-416.237gdry.wtm-2 in Inn Din Gyi.

Technical Report: Monitoring and Communicating Changes in Disturbance Regimes (Version 1.0)

2021 ◽  
Author(s):  
Emma Tait ◽  
◽  
Pia Ruisi-Besares ◽  
Matthias Sirch ◽  
Alyx Belisle ◽  
...  
Keyword(s):  
Cold Water ◽  
Forest Health ◽  
Web Portal ◽  
Ecosystem Monitoring ◽  
Disturbance Regimes ◽  
Current State ◽  
Technical Report ◽  
Changes Over Time ◽  
High Winds ◽  
Over Time

Shifts in disturbance patterns across the Northeast are of increasing concern as the climate continues to change. In particular, changes in patterns of frequency, severity and extent of disturbance event may have detrimental cascading impacts on forest ecosystems and human communities. To explore how changing disturbance regimes might impact future forest health and management it is necessary to understand the historical trends and impacts of disturbance in the region. Although individual types of disturbance have already been analyzed, there is a need for a consolidated overview of the current state of disturbance in northeastern forests. To address this need, the Forest Ecosystem Monitoring Cooperative (FEMC) developed the FEMC: Tracking Shifts in Disturbance Regimes web portal for users to explore changes over time of key disturbance drivers, identify important disturbance responses, and discover where monitoring is happening for both drivers and responses. In collaboration with our advisory committee, we identified key disturbance drivers—flood, high winds, fire, drought, pests—and responses—macroinvertebrates, cold-water fisheries, invasive plants—that are of particular concern in the region. For each of the drivers we identified a suitable regional dataset and analyzed changes over time in frequency, severity, and extent. We also created a structured framework to catalogue programs across the region that are monitoring for these disturbance drivers and responses. Version 1.0 of the FEMC: Tracking Shifts in Disturbance Regimes (https://uvm.edu/femc/disturbance) web portal, first released in October 2021, contains 272 data programs, 11 drivers and three responses. Through the web portal users can browse programs by state, driver type or response type, and explore where monitoring is happening across the region. Driver-specific analyses allow users to quickly see the trends in severity, frequency and extent of selected disturbances and compare the impacts in selected states to regional data. We hope that this collection of programs and the analysis of trends provide researchers and land managers with an easy way to understand the current state of disturbance in northeastern forests that enables them to analyze and plan for future impacts.

scholarly journals Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6752
Author(s):  
Lionel Camus ◽  
Hector Andrade ◽  
Ana Sofia Aniceto ◽  
Magnus Aune ◽  
Kanchana Bandara ◽  
...  
Keyword(s):  
Underwater Vehicles ◽  
Biological Data ◽  
Environmental Data ◽  
The Arctic ◽  
Spatiotemporal Resolution ◽  
Ecosystem Monitoring ◽  
High Biological Activity ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes.

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