Haapsalu and Matsalu Bays

Kotta, Jonne; Jaanus, Andres; Kotta, Ilmar

doi:10.1007/978-3-540-73524-3_11

Cited by 15 publications

(16 citation statements)

References 7 publications

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“…Isolation, low exposure, shallowness, substrate availability and moderate-to-strong inflow of nutrients explain the development of rich phytobenthic communities in Haapsalu Bay [33]. The most important benthic vegetation species in the study area are higher order plants, Potamogeton pectinatus and Myriophyllum spicatum.…”

Section: Study Areamentioning

confidence: 90%

“…The bay is relatively shallow, with the maximum depth less than 5 m and an average depth of 1.5-2 m. The inner part of the bay is very shallow, with a maximum depth approximately one meter [32]. The eastern and central parts of the bay are separated by peninsulas, causing limited water exchange [33,34].…”

Section: Study Areamentioning

confidence: 99%

“…The bed sediments consist of sands, gravels and clays of various structures [33]. Isolation, low exposure, shallowness, substrate availability and moderate-to-strong inflow of nutrients explain the development of rich phytobenthic communities in Haapsalu Bay [33].…”

Section: Study Areamentioning

confidence: 99%

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Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Vahtmäe

Kutser

2013

Remote Sensing

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Abstract:The structure of benthic macrophyte habitats is known to indicate the quality of coastal water. Thus, a large-scale analysis of the spatial patterns of coastal marine habitats enables us to adequately estimate the status of valuable coastal marine habitats, provide better evidence for environmental changes and describe processes that are behind the changes. Knowing the spatial distribution of benthic habitats is also important from the coastal management point of view.A big challenge in remote sensing mapping of benthic habitats is to define appropriate mapping classes that are also meaningful from the ecological point of view. In this study, the benthic habitat classification scheme was defined for the study areas in the relatively turbid north-eastern Baltic Sea coastal environment. Two different classification methods-image-based and the spectral library-method were used for image classification. The image-based classification method can provide benthic habitat maps from coastal areas, but requires extensive field studies. An alternative approach in image classification is to use measured and/or modelled spectral libraries. This method does not require fieldwork at the time of image collection if preliminary information about the potential benthic habitats and their spectral properties, as well as variability in optical water properties exists from earlier studies. A spectral library was generated through radiative transfer model HydroLight computations using measured reflectance spectra from representative benthic substrates and water quality measurements.Our previous results have shown that benthic habitat mapping should be done at high spatial resolution, owing to the small-scale heterogeneity of such habitats in the Estonian OPEN ACCESSRemote Sens. 2013, 5 2452 coastal waters. In this study, the capability of high spatial resolution hyperspectral airborne a Compact Airborne Spectrographic Imager (CASI) sensor and a high spatial resolution multispectral WorldView-2 satellite sensor were tested for mapping benthic habitats. Initial evaluations of habitat maps indicate that image-based classification provides higher quality benthic maps compared to the spectral library method.

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Section: Study Areamentioning

confidence: 90%

Section: Study Areamentioning

confidence: 99%

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Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Vahtmäe

Kutser

2013

Remote Sensing

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“…Due to the shallowness and clayey sediments already moderate winds result in strong resuspension of bottom sediments and poor underwater light conditions there. Salinity in this shallow area varies between 6 and 7 (Kotta and Orav, 2001;Kotta et al, 2008a).…”

Section: Methodsmentioning

confidence: 98%

Does the growth rate of driftingFurcellaria lumbricalisandCoccotylus truncatusdepend on their proportion and density?

Paalme¹,

Kotta²,

Kersen³

2013

Proc. Estonian Acad. Sci.

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The West Estonian Archipelago Sea hosts a loose-lying red macroalgal community dominated by Furcellaria lumbricalis and Coccotylus truncatus. The community is truly unique in European seas. In factorial field experiments we evaluated separate and interactive effects of algal density and the proportions of F. lumbricalis and C. truncatus on their growth rates in a set of monospecific and mixed communities. Our experiment demonstrated that the growth of red algae was density dependent and that increased algal densities resulted in a fall of daily growth rates. An elevated growth of the red algae was observed at their lower proportions in the community. A potential mechanism behind the observed patterns is the light availability for photosynthesis, i.e. light utilization is more efficient in mixed communities.

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“…Benthic community varies in the inner parts of the Estonian coastal sea, i.e. in the bays of Väinameri and Pärnu Bay [5], [6], [8].…”

Section: Introductionmentioning

confidence: 99%

Dominant zoobenthic species in the northwestern coastal sea of Estonia — potential role of abiotic stresses

Kolesova

Raudsepp

Alari

2010

2010 IEEE/OES Baltic International Symposium (BALTIC)

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Most of the Estonian coastal sea in the western part of the Gulf of Finland is characterized by numerous small bays. Some of them are open to the waves and water exchange with the open sea area, while others are exposed to waves from only one direction and have therefore limited water exchange. The coastal sea in the northeastern Baltic Proper is more open to wave and current activity. The bottom material of the coastal sea varies widely from mud and sand to gravel and rocks. Besides, salinity decreases if to move from the northeastern region towards the central Gulf of Finland. These abiotic factors could affect the large-scale spatial distribution of zoobenthic species.The zoobenthos samples were collected during August-locations in the Estonian coastal sea in the area extending from Muuga Bay (the central Gulf of Finland) to Sõrve Peninsula (the northeastern Baltic Proper). Up to 18 triplicate samples were taken within one area. All samples were taken using Van Veen grab with the opening area of 0.025 m 2 then sieved through 1.00 mm mesh sieve and preserved in a freezer. Bottom macrofauna was identified to the species level where practicable; such groups as crustaceans and oligochaets were identified to an appropriate higher taxonomic layer. Biomass was determined as wet weight (gww/m 2 ). The average density and biomass of species was determined in each area separately to ascertain dominants.Species abundance and biomass varied considerably within one sampling area. Still we were able to determine dominant species in these areas. Both biomass and abundance showed that two major species Macoma balthica and Mytilus trossulus prevailed. Mytilus trossulus dominated in the open bays at the northeastern Baltic Proper and western Gulf of Finland. Macoma balthica was abundant and showed high biomass in the large bays of the central Gulf of Finland. The analyses confirmed thatMytilus trossulus preferred hard bottoms. Considering natural and anthropogenic stresses to dominant species, this study shows that the presence of harbors and frequent harbor development favors the dominance of Macoma balthica. Mytilus trossulus prevails in the areas that are more exposed to waves as shown by numerical experiments with the wave model SWAN.

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Haapsalu and Matsalu Bays

Cited by 15 publications

References 7 publications

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Does the growth rate of driftingFurcellaria lumbricalisandCoccotylus truncatusdepend on their proportion and density?

Dominant zoobenthic species in the northwestern coastal sea of Estonia — potential role of abiotic stresses

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Haapsalu and Matsalu Bays

Cited by 15 publications

References 7 publications

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Classifying the Baltic Sea Shallow Water Habitats Using Image-Based and Spectral Library Methods

Does the growth rate of driftingFurcellaria lumbricalisandCoccotylus truncatusdepend on their proportion and density?

Dominant zoobenthic species in the northwestern coastal sea of Estonia &#x2014; potential role of abiotic stresses

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Dominant zoobenthic species in the northwestern coastal sea of Estonia — potential role of abiotic stresses