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24 results for “aquatic vegetation”
CVPIA Predation Contact Point Study - 2022: The impact of submerged aquatic vegetation removal on fish predation in a tidal river channel
Proliferation of non-native submerged aquatic vegetation (SAV) has the potential to cause widespread ecosystem changes, and has been attributed to declines in native fish populations around the world. One pathway for these declines is non-native SAV may render ecosystems more hospitable to fish predator species by creating habitat structure, by altering lower trophic food webs, or by affecting predator-prey interactions. It is presumed that non-native vegetation removal will generally favor native fish, however, fish community responses to SAV removals are not well understood. Using a field-based Before-After-Control-Impact study design, we measured the impact of manual SAV removals on short-term changes in predator abundance, predation risk on juvenile Chinook salmon ( Oncorhynchus tshawytscha ; a native fish of management concern), and the aerobic scope of predator and prey in California’s Sacramento-San Joaquin Delta. We found that, while SAV removals decreased abundances of the most common SAV-associated predator, largemouth bass ( Micropterus salmoides ), they resulted in higher predation risk of tethered prey, likely due to the removal of refuge habitat and the immigration of an open-water predator, striped bass ( Morone saxatilis ). SAV removals also buffered against a seasonal decline in environmental oxygen supply, increasing the aerobic scope of juvenile Chinook salmon and largemouth bass; whether such gains for prey would outweigh the persistent aerobic advantage of predators is an open question. While limited in spatial and temporal scope, this study has put into question any short-term benefits of small-scale SAV removal efforts for native fish populations, especially in areas where open-water predator species are abundant.
Efficacy and fate of fluridone applications for control of invasive submersed aquatic vegetation in the estuarine environment of the Sacramento-San Joaquin Delta
We conducted a study in the Sacramento-San Joaquin Delta to determine efficacy of the widely used herbicide fluridone in an estuarine ecosystem. The primary goal of SAV removal was restoration of open water habitat for endangered Hypomesus transpacificus (Delta Smelt). Over 18 months and multiple sets of multi-week fluridone applications, we monitored concentrations of fluridone and responses by SAV across pairs of treated and reference sites. Fluridone concentrations in the water were generally below the 2-5 parts per billion required for SAV control. Monitoring demonstrated these low water concentrations were likely due to dissipation by tides, despite use of pelleted fluridone formulations marketed for flowing water environments. Fluridone did, however, accumulate in sediment at concentrations hundreds of times higher than those measured in the water. Nonetheless, we did not observe lasting reductions in SAV abundance or changes in SAV community composition. By demonstrating lack of efficacy of one of the few herbicides permitted for use in this estuary, this study highlights the need for development of SAV management tools tailored to the challenges of hydrologically complex environments like estuaries.
Linking river metabolism time series and aquatic vegetation biomass at 11 sites along the Klamath River, California (summer 2019)
Algae blooms in rivers are difficult to quantify due to high heterogeneity, deep and swift conditions, seasonally rapid changes, and the high amount of surveyor effort needed to document river conditions. The data presented here were used to test the extent that summer time series of daily metabolism data reflected the quantity and type of vegetation biomass in a highly productive river with variable primary producer assemblages. Two categories of data are included in this data release: 1) Daily ecosystem metabolism estimates (gross primary production, GPP, ecosystem respiration, ER, and net ecosystem production, NEP), and 2) Reach scale biomass of 3 vegetation assemblages. In addition to these data products, we include the input data used to estimate metabolism, which includes high frequency measurements of dissolved oxygen, water temperature, and light. We also included the raw data used to estimate reach scale biomass, including measurements of filamentous algal and macrophyte percent cover and field samples analyzed for ash free dry mass, which were used to scale field observations of cover to reach scale biomass estimates. Metabolism and vegetation biomass data were collected at 11 reaches along the mid and lower Klamath River, California during summer 2019.
Data belonging to: Teurlincx, S., Verhofstad, M. J., Bakker, E. S., & Declerck, S. A. (2018). Managing successional stage heterogeneity to maximize landscape-wide biodiversity of aquatic vegetation in ditch networks. Frontiers in plant science, 9, 1013.
<p>Data belonging to the paper Teurlincx, S., Verhofstad, M. J., Bakker, E. S., & Declerck, S. A. (2018). Managing successional stage heterogeneity to maximize landscape-wide biodiversity of aquatic vegetation in ditch networks. Frontiers in plant science, 9, 1013.</p> <p>Data includes analysis scripts (R Language) and all used data files. Data is composed of location information of the different sites, environmental conditions on site and vegetation composition.</p>
Water chemistry and aquatic vegetation data from Les Cheneaux Islands, Northern Lake Huron, Michigan, USA, 2016-2018
Remote sensing approaches that could identify species of submerged aquatic vegetation (SAV) and measure their extent in lake littoral zones would greatly enhance their study and management, especially if they can provide faster or more accurate results than traditional field methods. Remote sensing with multispectral sensors can provide this capability, but SAV identification with this technology must address the challenges of light extinction in aquatic environments where chlorophyll, dissolved organic carbon, and suspended minerals can affect water clarity and the strength of the sensed light signal. Here, we present environmental data collected to support a study using an unmanned aerial system (UAS)-enabled methodology to identify the extent of the invasive SAV species Myriophyllum spicatum (Eurasian watermilfoil, or EWM) in the Les Cheneaux Islands area of northwestern Lake Huron, Michigan, USA. Data collected includes water chemistry (nitrogen, phosphorus, carbon, suspended solids, chlorophyll a), light profiles, and submerged aquatic vegetation characteristics including cover, species dominance using aquatic vegetation survey methods (AVAS), and biomass.
Submersed Aquatic Vegetation community multi-year data from the Sacramento - San Joaquin Delta in California
Since 2007, field data have been collected in the Sacramento - San Joaquin Delta in northern California for the purpose of training and validating invasive species maps derived from remote sensing imagery over the Delta. The field crew collected submersed aquatic vegetation (SAV) species location data. For each point they noted attributes such as species name(s), location, cover estimates, and patch size. In addition, a thatching rake tethered to a rope was thrown off the side of the boat and pulled back out of the water; Secchi depth was measured using a Secchi disk and depth to the SAV mat was estimated by the field crew. Points were collected in patches larger than 9 square meters (3 m x 3 m). Point locations were measured using high precision (sub-meter accuracy) Trimble DGPS units (Trimble Navigation Limited, Sunnyvale, California) with Wide Area Augmentation System (WAAS) differential correction. All data points were exported as ArcGIS shapefiles and projected to UTM Zone 10N, Datum WGS-84 however this dataset includes the Latitude and Longitude of each point in decimal degrees. The spatial and attribute data quality was checked by examining photos of the data points and confirming the identify of the documented species.
Submersed aquatic vegetation community composition in the Sacramento-San Joaquin Delta integrated across four surveys
Submersed aquatic vegetation (SAV) has become widespread in the Sacramento-San Joaquin Delta (Delta), and the diverse SAV assemblage is dominated by non-native species. SAV negatively impacts this estuarine ecosystem by impeding flows needed for water delivery and flood control, degrading habitat needed by native species, increasing breeding habitat for disease-vectoring mosquitoes, harboring non-native predatory fish, and hindering water recreation. The goal of this published integrated dataset is to facilitate study of these impacts. This data set includes four surveys conducted in the region during 2008-2021. Two of these are short-term special studies that have been completed, and two are ongoing long-term annual surveys. The nearshore survey of SAV and largemouth bass was conducted by the University of California-Davis (UC-Davis) at sites across the Delta during 2008-2010. The Aquatic Weed Control Action was completed by the Department of Water Resources as part of the Delta Smelt Resiliency Strategy and included monthly surveys of four sites during 2017-2018. The ongoing survey of Franks Tract is conducted annually by the SePRO corporation and the Division of Boating and Waterways, and available data are from 2014-2021. The ongoing annual survey conducted by the UC-Davis Center for Spatial Technologies and Remote Sensing covers many areas of the Delta and spans 2007-2008 and 2014-2021. Additional data from these ongoing surveys and data from other surveys will be added in subsequent versions of this data set.
Data on submerged aquatic vegetation and its water environment in Lake Saint-Pierre, Saint Lawrence River, from 2012 to 2016
<p>This dataset is the result of a large collaborative work lead by the GRIL from 2012 to 2015 on a submerged aquatic vegetation meadow located downstream of two agricultural tributaries (Saint-François and Yamaska rivers) in Lake Saint-Pierre, a fluvial lake of the Saint Lawrence River. The data describe plants (as rake biomass and echosounding) and their environment, including water chemistry, current velocity as well as light, temperature and instantaneous meteo. Only echosounding data are available in 2016 and sediments were collected in 2015. Data are organized as a relational database and the GRIL_LSP_database.png provides keys and links between tables as well as data format. Data are in the tables mesure_integree, mesure_spatiale, mesure_verticale, plante_biomass_taxon, plante_recolte, plante_in_situ. The other tables are metadata about spatiotemporal locations and reported measures. Additional data (e.g. zooplankton, sediments) should eventually be made available and associated to this overall GRIL dataset.</p>
Submerged aquatic vegetation and nitrogen retention data from 2012 to 2017 in lake Saint-Pierre, Saint Lawrence River
<p>Here we provide seven datasets that describes plant biomass (2012 to 2016), environmental variables and nitrogen retention time series (2012 to 2016) in a submerged aquatic vegetation (SAV) meadow at the confluence of two agricultural tributaries (Saint-François and Yamaska) with the St. Lawrence River in southern Lake Saint-Pierre.</p> <p>Version 2 adds the dataset 6 and 7.</p> <p>The seven datasets are:</p> <p>1) Growing season (June 21 to September 22) daily environmental variables (water level, water temperature, light, tributaries input, and SAV biomass indicator)</p> <p>2) Mean SAV biomass measured using rake or quadrat samples in the meadow</p> <p>3) Modelled daily nitrate tributary inputs to the SAV bed</p> <p>4) Daily nitrate output to the SAV bed estimated from a sensor</p> <p>5) Daily nitrate budget</p> <p>6) Hourly nitrate output to the SAV bed and signal decomposition from ensemble empirical mode decomposition (EEMD)</p> <p>7) Hourly dissolved oxygen and gas exchange velocities at the SAV bed outflow for 2016</p> <p>Original data comes from Lake Saint-Pierre, either from publicly available government agencies data, from a project led by the Groupe de recherche interuniversitaire en limnologie (GRIL, 2012-2015) and by Morgan Botrel Ph.D. candidate (2016-2017, Université de Montréal) or from Christiane Hudon (ECCC). Data were created for an article on climate-driven variation in nitrogen retention, led by Morgan Botrel and supervisor Roxane Maranger, with Christiane Hudon, James B. Heffernan and Pascale M. Biron (https://doi.org/10.1029/2022WR032678).</p>
Simulated submerged aquatic vegetation spectral signatures under different water quality conditions using Hydrolight
<p>Reflectance spectra were simulated using the Hydrolight radiative transfer model (Sequoia Scientific, Bellevue, WA) for four different submerged macrophyte species under a range of water quality conditions at two different depths. We used the four-component case-2 model with spectral reflectance of four submerged species, Egeria densa, Ceratophyllum demersum, Cabomba caroliniana, and Stukenia pectinata. These four reflectance spectra were calculated from the median of 10 measurements of the canopies of the representative species placed in clear tap-water made with a handheld ASD FieldSpec Pro spectrometer. Total suspended solids concentration was varied from 1 to 40 g·m<sup>−3</sup>, chlorophyll-a concentration was varied from 0.5 to 50 mg·m<sup>−3</sup>, and colored dissolved organic matter (CDOM) was varied from 0.25 to 3.5 m<sup>−1</sup>. A total of 4,742 spectra were simulated for all four species and a mud substrate at two different depths, 1 m and 5 m, and for optically deep water.</p>
Submerged aquatic vegetation biomass from the Saint Lawrence River (2006-2016) to compare estimation from quadrat-diver technique to rake collection and echosounding
<p>Here we provide 4 datasets that describes 1) the comparison between quadrat and rake collected biomass (QR), 2) the comparison of rake biomass and biovolume, a biomass proxy derived from echosounding (RE), 3) a validation dataset that confronts quadrat measurements to quadrat prediction measured from echosounding using two intercalibration equations (derived from QR and RE datasets), and 4) a whole-system biomass estimation comparing biomass predicted from echosounding and from rake.</p> <p>Original data comes from the Saint Lawrence River, mainly from Lac Saint-Pierre, but for the QR dataset also from Lac Saint-François and Lac Saint-Louis. Data from the QR (2006-2009) and validation dataset (2016) were collected by Christiane Hudon, Environment and Climate Change Canada, while the RE dataset and part of the validation dataset were collected as part of a project led by the Groupe de recherche interuniversitaire en limnologie (GRIL, 2012-2015) and by Morgan Botrel Ph.D. candidate (2016-2017, Université de Montréal). Data were created for an article on a method to estimate SAV biomass, led by Morgan Botrel and supervisor Roxane Maranger, with co-supervisor Christiane Hudon and Pascale Biron.</p> <p>For the second version, the data is more clearly organized in the four categories mentioned above. Additionally, revised prediction equations were applied which modifies results used in the validation and whole-system datasets (dataset 2 and 4). Equations are presented in the associated publication:</p> <p>Botrel, M., C. Hudon, P.M. Biron, R. Maranger. Combining quadrat, rake and echosounding to estimate submerged aquatic vegetation biomass at the ecosystem scale. Limnology & Oceanography: Methods. Accepted (as of 2023/02/08)</p>
Dataset for: African manatee (Trichechus senegalensis) habitat suitability at Lake Ossa, Cameroon using trophic state models and predictions of submerged aquatic vegetation
<p>See research article here: https://onlinelibrary.wiley.com/doi/epdf/10.1002/ece3.8202</p> <p>Aim: The present study aims at investigating the past and current trophic status of Lake Ossa and evaluating its potential impact on African manatee health.</p> <p>Location: Lake Ossa is known as a refuge for the threatened African manatees in Cameroon. Little information exists on the water quality and health of the ecosystem as reflected by its chemical and biological characteristics.</p> <p>Methods: Aquatic biotic and abiotic parameters including water clarity, nitrogen, phosphorous and chlorophyll concentrations were measured monthly during four months at each of 18 water sampling stations evenly distributed across the lake. These parameters were then compared with historical values obtained from the literature to examine the dynamic trophic state of Lake Ossa.</p> <p>Results: Results indicate that Lake Ossa’s trophic state parameters doubled in only three decades (from 1985 to 2016), moving from a mesotrophic to a eutrophic state. The decreasing nutrient gradient moving from the mouth of the lake (in the south) to the north indicates that the flow of the adjacent Sanaga River is the primary source of nutrient input. Further analysis suggests that the poor transparency of the lake is not associated with chlorophyll concentrations but rather with the suspended sediments brought-in by the Sanaga River. Consequently, our model demonstrated that despite nutrient enrichment, less than 5% of the lake bottom surface sustained submerged aquatic vegetation. Thus, shoreline emergent vegetation is the primary food available for the local manatee population. During the dry season, water recedes drastically and disconnects from the dominant shoreline emergent vegetation, decreasing accessibility for manatees.</p> <p>Main conclusions: The current study revealed major environmental concerns (eutrophication and sedimentation) that may negatively impact habitat quality for manatees. Efficient land use and water management across the entire watershed may be necessary to mitigate such issues.</p>
Infauna shift trait-productivity relationships in submerged aquatic vegetation communities
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Supplementary Material Chapter 4 - Decomposition of aquatic pioneer vegetation in newly constructed wetlands
<p>Supplementary Material to Chapter 4 "Decomposition of aquatic pioneer vegetation in newly constructed wetlands" of PhD thesis from Ciska Overbeek, "Peat formation on a former landfill - Production and decomposition of aquatic pioneer vegetation". </p> <p>Published by Overbeek et al in 2018 in Ecological Engineering 114: 154-161. https://doi.org/10.1016/j.ecoleng.2017.06.046. </p>
Data from: Hydrodynamics and aquatic vegetation drive spatial patterns of environmental DNA in ponds
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Data from: Functional responses of aquatic and riparian vegetation to hydrogeomorphic restoration of channelized lowland streams and their valleys
1. Streams and riparian zones are highly heterogeneous ecosystems. Their high biodiversity is promoted by variable flow velocities and water depths, strong hydrological gradients and disturbance regimes. However, human interventions like damming and channelization have degraded these ecosystems worldwide. And, although restoration efforts have increased in the past decades, ecological improvement is lagging. 2. We assessed vegetation development in channelized lowland stream valleys in the Netherlands, combining innovative restoration measures to the stream and stream valleys. This 'stream valley restoration' entailed construction of narrower and shallower channels to increase flow velocities during base discharges, meandering of the watercourse to increase flow and depth heterogeneity and excavation of banks to create wide v-shaped stream valleys. We evaluated the effects on functional aspects of the developing in-stream and riparian vegetation by comparing restored stream reaches to nearby unrestored reaches. 3. The reduced channel dimensions led to higher flow velocities, which, through interaction with meandering, triggered a higher variability in flow and depth. Combined with enlargement of the floodplain, this promoted flooding in stream valleys and created wider environmental gradients. Plant diversity strongly increased in the floodplain area, the land-water interface and the shallow water habitat at the channel margins, but decreased in the central parts of stream channels. There, higher flow velocities led to more typically lotic (running water) in-stream plant communities, indicated by a sharp decrease in floating-leaved species and an increase in trailing species. Riparian vegetation showed a higher beta-diversity across the wider valley slopes of restored reaches, with more wetland species in areas with water tables between 0.0 and -0.6 m, and more upland species as well. 4. Synthesis and applications. This study demonstrates that the combination of strongly reduced channel dimensions, remeandering and widening of riparian zones, is effective in restoring in-stream and riparian habitat heterogeneity. The restoration efforts lead to distinct immediate increases in total and beta-diversity of many typical stream and riparian plant species. Overall, this stresses the importance of applying restoration measures to both streams and stream valleys simultaneously, considering them as a single landscape unit. 27-Nov-2018
Submerged aquatic vegetation, water quality (pH, salinity, and turbidity) and waterfowl abundance data from 1991-2017 in Back Bay, Virginia
<p><span>Back Bay, Virginia, has been documented as an important foraging area for waterfowl since at least the mid-1800s. Expansive submerged plant beds historically supported diverse assemblages of non-breeding waterfowl, however coastal development and other anthropogenic influences have since led to fluctuations in submerged aquatic vegetation (SAV) and an associated decline in waterfowl abundance in the bay. To gain insight into the effects of environmental drivers on waterfowl foraging guilds, our study explores the effects of SAV frequency and water quality on the abundance of dabbling ducks, diving ducks, and swans and geese in Back Bay. We use 8 years of SAV, water quality, and waterfowl monitoring data collected by state and federal agencies to model the effects of salinity, turbidity, pH, and percent frequency of SAV on the relative abundance of waterfowl by foraging guild in Back Bay. The appropriateness of the data and reasonability of the preliminary results were then evaluated through semi-structured interviews with 11 local informants representing state, federal, and non-governmental organizations. Quantitative results indicated that dabbling ducks are affected differently than other guilds by water quality and percent frequency of SAV. Thematic analysis of the interview data revealed a number of potential explanations for the model results, as well as highlighted areas of uncertainty in need of further research. In a test of face validity, participants demonstrated a significant degree of belief in turbidity, salinity, and SAV as drivers of waterfowl abundance, but were not convinced by the potential effects of pH as demonstrated by the model. This mixed methods study provides insights that could potentially influence the management and conservation of non-breeding waterfowl populations by challenging the assumption that particular environmental conditions serve all foraging groups equally.</span></p>
Evaluating impacts of non-native submerged aquatic vegetation on native nekton
<p>These data accompany the publication of the same name. We performed a quantitative meta-analysis to quantify impacts of non-native submerged aquatic vegetation on native crabs, fishes, and shrimps in coastal, estuarine, and marine systems. We found that nekton abundance, species richness, and biomass were the most assessed metrics of nekton performance. We extracted data from 35 studies and evaluated 11 response metrics related to inter-specific facilitation, restricting our analysis to studies that compared at least one of these metrics in nekton from co-occurring native and non-native SAV habitats in marine, coastal, or estuarine systems.</p>
Data from: Functional responses of aquatic and riparian vegetation to hydrogeomorphic restoration of channelized lowland streams and their valleys
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Data from: Lake and catchment-scale determinants of aquatic vegetation across almost 1000 lakes and the contrasts between lake types
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OpenNeuro
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