Influence of submerged vegetation and fish abundance on water clarity in peri-urban eutrophic ponds

Hydrobiologia ◽  
2010 ◽  
Vol 656 (1) ◽  
pp. 255-267 ◽  
Author(s):  
Sylvia De Backer ◽  
Stijn Van Onsem ◽  
Ludwig Triest
Keyword(s):  
Water Clarity ◽  
Fish Abundance ◽  
Submerged Vegetation ◽  
Eutrophic Ponds

scholarly journals Effects of Submerged Vegetation on Water Clarity Across Climates

Ecosystems ◽  
2009 ◽  
Vol 12 (7) ◽  
pp. 1117-1129 ◽  
Author(s):  
Sarian Kosten ◽  
Gissell Lacerot ◽  
Erik Jeppesen ◽  
David da Motta Marques ◽  
Egbert H. van Nes ◽  
...  
Keyword(s):  
Water Clarity ◽  
Submerged Vegetation

How important is the crustacean plankton for the maintenance of water clarity in shallow lakes with abundant submerged vegetation?

2000 ◽  
Vol 44 (2) ◽  
pp. 185-197 ◽  
Author(s):  
Irmgard Blindow ◽  
Anders Hargeby ◽  
Bálint M. A. Wagner ◽  
Gunnar Andersson
Keyword(s):  
Shallow Lakes ◽  
Water Clarity ◽  
Submerged Vegetation ◽  
Crustacean Plankton

Geographic, anthropogenic, and habitat influences on Great Lakes coastal wetland fish assemblages

2009 ◽  
Vol 66 (8) ◽  
pp. 1328-1342 ◽  
Author(s):  
Anett S. Trebitz ◽  
John C. Brazner ◽  
Nicholas P. Danz ◽  
Mark S. Pearson ◽  
Gregory S. Peterson ◽  
...  
Keyword(s):  
Great Lakes ◽  
Aquatic Vegetation ◽  
Coastal Wetland ◽  
Fish Assemblages ◽  
Fish Habitat ◽  
Water Clarity ◽  
Habitat Associations ◽  
Submerged Vegetation ◽  
Great Lakes Coastal Wetland ◽  
Natural Watersheds

We analyzed data from coastal wetlands across the Laurentian Great Lakes to identify fish assemblage patterns and relationships to habitat, watershed condition, and regional setting. Nonmetric multidimensional scaling (NMDS) ordination of electrofishing catch-per-effort data revealed an overriding geographic and anthropogenic stressor gradient that appeared to structure fish composition via impacts on water clarity and vegetation structure. Wetlands in Lakes Erie and Michigan with agricultural watersheds, turbid water, little submerged vegetation, and a preponderance of generalist, tolerant fishes occupied one end of this gradient, while wetlands in Lake Superior with largely natural watersheds, clear water, abundant submerged vegetation, and diverse fishes occupied the other. Fish composition was also related to wetland morphology, hydrology, exposure, and substrate, but this was only evident within low-disturbance wetlands. Anthropogenic stress appears to homogenize fish composition among wetlands and mask other fish–habitat associations. Because land use is strongly spatially patterned across the Great Lakes and aquatic vegetation is a key habitat element that responds to both biogeography and disturbance, it is difficult to disentangle natural from anthropogenic drivers of coastal wetland fish composition.

Submerged vegetation in a shallow brackish lagoon does not enhance water clarity but offers substantial refuge for zooplankton

2019 ◽  
Vol 154 ◽  
pp. 1-10 ◽  
Author(s):  
Jutta Meyer ◽  
Sven Dahlke ◽  
Milena Kafka ◽  
Antje Kerkow ◽  
Caroline Lindner ◽  
...  
Keyword(s):  
Water Clarity ◽  
Submerged Vegetation ◽  
Brackish Lagoon

Underwater video surveys provide a more complete picture of littoral fish populations than seine samples in clear Florida springs

2019 ◽  
Vol 70 (8) ◽  
pp. 1178
Author(s):  
Kirsten Work ◽  
Coramarie Jifu Jennings
Keyword(s):  
Species Richness ◽  
Sampling Method ◽  
Sampling Methods ◽  
Water Clarity ◽  
Fish Abundance ◽  
Video Assessment ◽  
Species Richness And Diversity ◽  
Abundance And Diversity ◽  
Number Of Individuals ◽  
Better Than

Traditional fish-sampling methods may be problematic because of public use or safety concerns. In this study, we compared one common sampling method with video assessment of fish abundance and diversity in three springs that differed in water clarity and structure. At each of four or five sites per spring, we placed one GoPro camera on each bank for 12min and followed the filming with seine sampling. On the video, we counted the maximum number of individuals of each species observed within one frame (MaxN) and summed these counts to produce an estimate of fish abundance (SumMaxN). Then we compared abundance (SumMaxN), species richness and diversity between seine and video samples across all three springs. Video produced higher estimates of abundance (SumMaxN), species richness, and diversity than did seine sampling. However, this effect was largely confined to species richness and diversity differences between sample methods in the structurally complex spring; differences were subtle or non-existent in the low-structure spring and in the turbid spring. In all three springs, video captured relatively more centrarchids; these taxa were captured only rarely in seine samples. Therefore, video sampling performed as well or better than did seine sampling for fish-assemblage assessment in these clear springs.

APLIKASI CITRA LANDSAT 8 OLI UNTUK IDENTIFIKASI STATUS TROFIK WADUK GAJAH MUNGKUR WONOGIRI, JAWA TENGAH

2017 ◽  
Vol 19 (2) ◽  
pp. 113
Author(s):  
Kusuma Wardani Laksitaningrum ◽  
Wirastuti Widyatmanti
Keyword(s):  
Chlorophyll A ◽  
Total Phosphorus ◽  
Trophic State ◽  
Water Clarity ◽  
Coefficient Of Determination ◽  
Physical Factors ◽  
Landsat 8 ◽  
Trophic State Index ◽  
Landsat 8 Oli ◽  
State Index

<p align="center"><strong>ABSTRAK</strong></p><p class="abstrak">Waduk Gajah Mungkur (WGM) adalah bendungan buatan yang memiliki luas genangan maksimum 8800 ha, terletak di Desa Pokoh Kidul, Kecamatan Wonogiri, Kabupaten Wonogiri. Kondisi perairan WGM dipengaruhi oleh faktor klimatologis, fisik, dan aktivitas manusia yang dapat menyumbang nutrisi sehingga mempengaruhi status trofiknya. Tujuan dari penelitian ini adalah mengkaji kemampuan citra Landsat 8 OLI untuk memperoleh parameter-parameter yang digunakan untuk menilai status trofik, menentukan dan memetakan status trofik yang diperoleh dari citra Landsat 8 OLI, dan mengevaluasi hasil pemetaan dan manfaat citra penginderaan jauh untuk identifikasi status trofik WGM. Identifikasi status trofik dilakukan berdasarkan metode <em>Trophic State Index</em> (TSI) Carlson (1997) menggunakan tiga parameter yaitu kejernihan air, total fosfor, dan klorofil-a. Model yang diperoleh berdasar pada rumus empiris dari hasil uji regresi antara pengukuran di lapangan dan nilai piksel di citra Landsat 8 OLI. Model dipilih berdasarkan nilai koefisien determinasi (R<sup>2</sup>) tertinggi. Hasil penelitian merepresentasikan bahwa nilai R<sup>2</sup> kejernihan air sebesar 0,813, total fosfor sebesar 0,268, dan klorofil-a sebesar 0,584. Apabila nilai R<sup>2 </sup>mendekati 1, maka semakin baik model regresi dapat menjelaskan suatu parameter status trofik. Berdasarkan hasil kalkulasi diperoleh distribusi yang terdiri dari kelas eutrofik ringan, eutrofik sedang, dan eutrofik berat yaitu pada rentang nilai indeks 50,051 – 80,180. Distribusi terbesar adalah eutrofik sedang. Hal tersebut menunjukkan tingkat kesuburan perairan yang tinggi dan dapat membahayakan makhluk hidup lain.</p><p><strong>Kata kunci: </strong>Waduk Gajah Mungkur, citra Landsat 8 OLI, regresi, TSI, status trofik</p><p class="judulABS"><strong>ABSTRACT</strong></p><p class="Abstrakeng">Gajah Mungkur Reservoir is an artificial dam that has a maximum inundated areas of 8800 ha, located in Pokoh Kidul Village, Wonogiri Regency. The reservoir’s water conditions are affected by climatological and physical factors, as well as human activities that can contribute to nutrients that affect its trophic state. This study aimed to assess the Landsat 8 OLI capabilities to obtain parameters that are used to determine its trophic state, identifying and mapping the trophic state based on parameters derived from Landsat 8 OLI, and evaluating the results of the mapping and the benefits of remote sensing imagery for identification of its trophic state. Identification of trophic state is based on Trophic State Index (TSI) Carlson (1997), which uses three parameters there are water clarity, total phosphorus, and chlorophyll-a. The model is based on an empirical formula of regression between measurements in the field and the pixel values in Landsat 8 OLI. Model is selected on the highest value towards coefficient of determination (R<sup>2</sup>). The results represented that R<sup>2</sup> of water clarity is 0.813, total phosphorus is 0.268, and chlorophyll-a is 0.584. If R<sup>2</sup> close to 1, regression model will describe the parameters of the trophic state better. Based on the calculation the distribution consists of mild eutrophic, moderate eutrophic, and heavy eutrophic that has index values from 50.051 to 80.18. The most distribution is moderate eutrophication, and it showed the high level of trophic state and may harm other living beings.</p><p><strong><em>Keywords: </em></strong><em>Gajah Mungkur Reservoir, </em><em>L</em><em>andsat 8 OLI satellite imagery, regression, TSI, trophic state</em></p>

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