“…This data was collected collaboratively according to NIER guidelines under the NAEMP from 2008 to 2021, covering 3032 sampling locations 22 . Additionally, eight additional genera were included from another published article 23 . Fig.…”
Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Benthic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait dataset for benthic macroinvertebrates, comprising 447 taxa (393 at genus level, 53 at family level and one at class level) from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our dataset provides an important resource for understanding the ecology of benthic macroinvertebrates in South Korea, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
“…This data was collected collaboratively according to NIER guidelines under the NAEMP from 2008 to 2021, covering 3032 sampling locations 22 . Additionally, eight additional genera were included from another published article 23 . Fig.…”
Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Benthic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait dataset for benthic macroinvertebrates, comprising 447 taxa (393 at genus level, 53 at family level and one at class level) from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our dataset provides an important resource for understanding the ecology of benthic macroinvertebrates in South Korea, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
“…This data was collected collaboratively according to NIER guidelines under the NAEMP from 2008 to 2021, covering 3032 sampling locations 22 . Additionally, eight additional genera were included from another published article 23 .…”
Section: Taxonomic and Geographical Coveragementioning
Functional traits are the result of evolution and adaptation, providing important ecological insights into how organisms interact with their environment. Benthic macroinvertebrates, in particular, have garnered attention as biomonitoring indicators for freshwater ecosystems. This study presents a functional trait dataset for benthic macroinvertebrates, comprising 447 taxa (393 at genus level, 53 at family level and one at class level) from five phyla (Annelida, Arthropoda, Mollusca, Nematomorpha, and Platyhelmenthes), categorized into nine traits related to life history, morphology, and habit. To account for variation in available trait information, we assigned confidence levels to each taxon and functional trait based on the level of evidence using fuzzy coding. Our dataset provides an important resource for understanding the ecology of benthic macroinvertebrates in South Korea, serving as a valuable baseline dataset for studying their biodiversity, conservation, and biomonitoring in freshwater ecosystems.
“…Analisa ANOVA untuk kelimpahan berdasarkan bulan pengamatan ditemukan adanya perbedaan pada selang kepercayaan 90% dengan Fhit=3,19 (Pvalue 0,1) dan tidak nyata menurut lokasi dengan F hit=1,71 dan Pvalue 0,24). Variasi tangkapan bulanan juga Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Volume 9, Number 3, Page 457-463 dapat terjadi karena adanya pengaruh run-off dan pencemaran pada sediment (Kim et al, 2018).…”
Section: Gambar 4 Komposisi Kelimpahan Biota Total Bulanunclassified
Garok is a fishing gear that operates at the bottom or surface of the substrate that is caught of various benthic species. The garok gear that operates in sediment, even in the long term can cause changes in the composition of the biota. Because exploitative fishing proses, can cause damage, vulnerability and at the long-term impact to the sustainability of the population. The research was carried out in Kronjo Bay, Tangerang from March to May 2011. The samples were collected from the operation, then determined the species, quantity, and weight of each species. Descriptive statistical analysis and ANOVA were used to determine the significance of the composition between stations and observation times. The caught consist of Placuna placenta, Anadara, Murex, Tellina, and crustaceans which belong to the mollusk and crustacean groups. Statistical analysis did not show a significant difference between the research stations, but it was significantly based on the observation time with Fhit 3,1 and Ftab 1,7. It turned out that the abundance of basic biota was found to be high in April then decreased in May. Likewise, the abundance did not show a significant difference in the location and time of observation. The catch composition on the Kronjo coast is dominated by the gastropod group with an average composition of above 50% per operation.Keywords:GarokCompositionDemersalKronjoCoastalABSTRAKGarok adalah alat tangkap yang dioperasikan di dasar perairan yang menangkap berbagai jenis biota dasar. Alat garok yang dioperasikan dapat menangkap beragam jenis biota dasar dan dalam jangka lama dapat menyebabkan terjadinya perubahan komposisi biota. Alat tangkap yang bersifat eksploitatif dapat menyebabkan kerusakan, kerentanan sehingga menganggu keberlanjutan populasi secara jangka panjang. Penelitian dari praktek penggunaan alat garok ini dilakukan di Teluk Kronjo Tangerang mulai Maret-Mei tahun 2011. Sampel dikumpulkan secara eskploratif dari operasi alat garok, kemudian tentukan jenis, jumlah dan bobotnya dari setiap jenis. Analisis statistik deskriptif dan ANOVA digunakan untuk mengetahui perbedaan komposisi antar stasiun dan antara waktu pengamatan. Hasil tangkapan terdiri dari jenis Placuna placenta, Anadara, Murex, Tellina, dan krustasea yang termasuk kelompok moluska dan krustasea. Analisis statistik tidak menunjukan perbedaan yang nyata antara stasiun penelitian, namun berbeda nyata berdasarkan waktu pengamatan dengan Fhit 3,1 dan Ftab 1,7. Kelimpahan biota dasar ditemukan tinggi pada bulan April kemudian menurun pada bulan Mei. Begitu juga kelimpahan tidak menunjukan perbedaan yang nyata pada lokasi dan waktu pengamatan. Komposisi tangkapan di pesisir Kronjo didominasi oleh kelompok gastropoda dengan komposisi rata-rata diatas 50% setiap kali operasi.Kata kunci:GarokKomposisiDemersalKronjoPesisir
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