Macrozoobenthos Spatial Distribution as the Indicator of Cikeruh River Pollution in Sumedang Regency, West Java

Abstract

Cikeruh River is one of the tributaries of the Citarum River which has received a variety of inputs, which can affect the river water quality and cause pollution. Macrozoobenthos is an organism that can determine the pollution of waters. This research aims to determine the spatial distribution of macrozoobenthos communities in the Cikeruh River as the indicator of pollution. This research was conducted in July 2019 - August 2019 using the field survey method. The data collection technique used is purposive sampling, setting 5 stations based on environmental factors and land use around the river flow. The parameters observed were the physical-chemical parameters of the waters, physical-chemical parameters of the substrate and macrozoobenthos as biological parameters as indicators of pollution, as well as calculating the abundance of macrozoobenthos, diversity index, uniformity index, species deficit and morisita index. The results of the macrozoobenthos spatial distribution along the Cikeruh River flow differed at each location of observation. At station 1 found several intolerant species Heptagenia sp., Tipula sp., Leptophelbia sp., Polycentrophus sp. and Enallagma sp., station 2 found several facultative species Melanoides tuberculata, Lymnaea sp., Tarebia granifera, Sulcospira testudinaria, dan Corbicula fluminea,, station 3 found several facultative species Melanoides tuberculata, Lymnaea sp., Tarebia granifera, Sulcospira testudinaria, Pomacea canalicuta and Corbicula fluminea, station 4 found several facultative species Melanoides tuberculata, Tarebia granifera, Sulcospira testudinaria and Corbicula fluminea, and station 5 found intolerant species Chironomus sp., Tubifex sp., dan Lumbriculus sp. The abundance of macrozoobenthos is around 590 ind/m2 - 7420 ind/m2. Diversity index ranges from 0.46-1.85. The uniformity index ranges from 0.16 to 0.64. Species deficits at each station are different. Cikeruh River morisita index ranging from 0.14 to 0.80 which is in the uniform category.

Distribución Y Abundancia De Gastrópodos Fluviales Y Terrestres Con Variables Meteorológicas Mediante La Modelación Matemática. Santa Clara, Villa Clara, Cuba

“…Tarebia granifera y M. tuberculata (pertenecientes a la familia Thiaridae) son originarias de Asia y África respectivamente (Lutfi et al, 2020). Fueron observados por primera vez en Cuba a finales del siglo pasado (Gutiérrez et al, 1997) y desde entonces han sufrido una amplia expansión en ríos y estanques de todo el país.…”

“…Las variables ambientales pueden influir en las oscilaciones poblacionales de la fauna malacológica, y por tanto en la incidencia de las enfermedades transmitidas por moluscos (Fimia et al, 2014a,b;Fimia et al, 2015a,b;Fimia et al, 2016a,b;Osés et al, 2017;Zdelar et al, 2018;Albarrán-Mélzer et al, 2019;Lutfi et al, 2020;Sun et al, 2020). En la actualidad, cobran un gran auge e importancia los estudios relacionados con la modelación matemática y la confección de modelos de pronósticos de alerta temprana (Fimia et al, 2012;Fimia et al, 2015b;Castillo et al, 2016;Fimia et al, 2016a;Osés et al, 2017) debido a los efectos del cambio climático.…”

Performance of Metallothionein Biomarker from <i>Sulcospira testudinaria</i> to Assess Heavy Metal Pollution in the Brantas River Watershed, Indonesia

“…The habitats of this species are rivers or lakes with calm or swift currents. Previous research found that Sulcospira testudinaria was present in the Cikeruh River [Lutfi et al, 2020], Code River [Hellen et al, 2020], Meru Betiri National Park [Suratno et al, 2020], Gunung Kidul [Isnaningsih and Listiawan, 2010], and the Brantas River [Febbyanto et al, 2015]. This species was used as a bioindicator for aquatic environmental health [Hertika et al, 2021], and was used to measure the results of efforts to reduce levels of organic matter in aquaculture wastewater [Lailiyah et al, 2021].…”

A Relação Entre O Aleitamento Materno E O Diabetes Mellitus Tipo 1

“…Los conocimientos de sistemática y taxonomía de las especies involucradas son indispensables para una certera identificación (Vazquez & Gutiérrez, 2007;Vázquez & Cobian, 2014;Vázquez & Sánchez, 2015;Castillo et al, 2016) ya que diferentes grupos taxonómicos transmiten diferentes enfermedades parasitarias. Las variables ambientales pueden influir en las oscilaciones poblacionales de la fauna malacológica, y por tanto en la incidencia de las enfermedades transmitidas por moluscos (Fimia et al, 2014a, b;Fimia et al, 2015a, b;Fimia et al, 2016a, b;Osés et al, 2017;Zdelar et al, 2018;Albarrán-Mélzer et al, 2019;Lutfi et al, 2020;Sun et al, 2020). En la actualidad, cobran un gran auge e importancia los estudios relacionados con la modelación matemática y la confección de modelos de pronósticos de alerta temprana (Fimia et al, 2012;Fimia et al, 2015b;Castillo et al, 2016;Fimia et al, 2016a;Osés et al, 2017) debido a los efectos del cambio climático.…”