Literature DB >> 34720636

Morphological, calorific and nutritive characteristics of 656 freshwater invertebrates taxa.

Axelle Moreau1, Christine Dupuy2, Pierrick Bocher2, Sébastien Farau1.   

Abstract

BACKGROUND: The Freshwater Animal Diversity Assessment (FADA) project estimated that freshwater animal species represent 9.5% of the 1.2 million species described. Knowing that freshwater represents only 0.01% of the earth's surface, these wetlands are suitable habitats for a great part of the world's total biodiversity. However, it has been shown that there is a lack of knowledge on these species, including freshwater invertebrates. Nevertheless, they play a key role in the majority of freshwater ecosystems and in their foodweb networks. Freshwater invertebrates are the food resource of many species, such as fish and birds. The knowledge of their morphological, energetic and nutritive characteristics allows a better understanding of their selection by predators (size, energy intake etc.), but also leads to the improvement of wetland management. Although information about freshwater invertebrates exists in literature, they are generally heterogeneous, dispersed and difficult to collect. To facilitate the accessibility of these data and, thus, optimise and accelerate research projects including freshwater invertebrates, we propose a literature review describing 14 morphological and nutritive characteristics (size, dry weight, gross energy, crude protein etc.) for 656 taxa of freshwater invertebrates. NEW INFORMATION: This dataset is a review from 104 publications from 1935 to 2020, compiling 14 characteristics when available (size, dry weight, gross energy, crude protein etc.) for 656 taxa of freshwater invertebrates. Axelle Moreau, Christine Dupuy, Pierrick Bocher, Sébastien Farau.

Entities:  

Keywords:  ash; fiber; freshwater invertebrates; gross energy; invertebrate biometry; lipid; nitrogen free extract; protein; water

Year:  2021        PMID: 34720636      PMCID: PMC8520031          DOI: 10.3897/BDJ.9.e70214

Source DB:  PubMed          Journal:  Biodivers Data J        ISSN: 1314-2828


Introduction

In twenty years, the estimated world’s total number of species has increased from 3 to 30 million (May 1990) to between 3 and 100 million (May 2010). Currently, 1.2 million species have been listed, but it was estimated that about 86% of terrestrial species and 91% of oceanic species are still to be described (Mora et al. 2011). Invertebrates would represent 60% of known species and three quarters of new species identified each year (Chapman 2009). Occupying the majority of habitats, they could potentially represent a significant part of the global biomass (Ellwood and Foster 2004). They play a key role in most trophic webs (Vanni 2002, Hornung and Foote 2006, McCarthy et al. 2009) and some are even good indicators of the environmental quality (Stork and Eggleton 1992, Hodkinson and Jackson 2005). Wetlands are amongst the most impacted environments by climate change (Dawson et al. 2003, Erwin 2009). They have particularly declined worldwide, losing at least 50% of their surface since the beginning of the 19th century (Finlayson et al. 1999, Davidson 2014, Gardner et al. 2015). However, some species depend directly on these habitats, such as fish (Gilinsky 1984, Diehl 1992, Garvey et al. 1994, Bouffard and Hanson 2006, McCarthy et al. 2009) or birds (e.g. Bolduc and Afton 2004, Taft and Haig 2005, Ma et al. 2010), particularly because of the available food resources, such as freshwater invertebrates (Covich et al. 1999). The links between freshwater invertebrates and waterbirds were examined (Goss-Custard 1977, Colwell and Landrum 1993, Lillie and Evrard 1994, Weber and Haig 1997, Brodmann and Reyer 1999, Elmberg et al. 2000, Halse et al. 2000, Arzel et al. 2009, Guareschi et al. 2015), but remain insufficiently explored (Sanders 2000, Prather et al. 2013). The lack of knowledge about freshwater invertebrate abundance and diversity is, therefore, an important issue for the conservation of the species living in these environments, but also for their habitats management (Vanni 2002). Knowing the species that contribute to this diversity, as well as their morphological characteristics, energetic value or nutritional composition (Fredrickson and Reid 1988, Zwarts and Blomert 1992, Davis and Smith 2001), would improve the understanding of the prey-predator interactions (Nudds and Bowlby 1984, Anderson and Smith 2000). For example, waterfowl feed on aquatic invertebrates and, consequently, the abundance, accessibility, size or even the energetic values of these foods affect the use of foraging habitats by waterfowl (Ma et al. 2010). Invertebrates are very sensitive to environmental variations, included climate change (Lawrence and Soame 2004, Prather et al. 2013, Khamis et al. 2014) and affect finally ecosystem functions and associated ecosystem services (Lavelle et al. 2006, Prather et al. 2013, Khamis et al. 2014). Some of them are also very sensitive to the water physico-chemical variations and are indicators of its quality, especially since beginning of anthropogenic pollution (Gaufin and Tarzwell 1952, Gaufin and Tarzwell 1956, Hellawell 1986, Dallinger 1994). Obtaining knowledge on freshwater invertebrates is, therefore, essential for the habitat and species conservation (Vicente 2010), but also to answer the global change (Strayer 2010, Collier et al. 2016). Studies in literature were more specifically focused on knowledge of the orders and families, in particular, according to their stages of development (larvae, nymphs, adults) and their sizes, but it appears as still incomplete and insufficient (Vicente 2010, Strayer and Dudgeon 2010, Collier et al. 2016). If information exists, it is generally heterogeneous, scattered or restricted to local journals and, therefore, not widely distributed (Strayer 2006, Balian et al. 2008b, Strayer and Dudgeon 2010, Appeltans et al. 2012), especially when the interest is on other factors, such as the individuals weight, the energetic value or the nutritional composition (proteins, lipids etc.). Even if some books or publications have a high level of details (Cumminns and Wuycheck 1971, Nudds and Bowlby 1984, Anderson and Smith 2000, James et al. 2012), none includes all information about these physical, nutritive or energetic characteristics, placing limits to the progress of some studies. Indeed, the skills of researchers or managers do not always include know-how in taxa or species identification (Krieger 1992). Thus, the available information in literature is generally uncommon (Strayer 2006, James et al. 2012) and/or difficult to collect (Krieger 1992). The solution for acquiring these data may be to characterise all the taxa detected and collected. However, this option raises problems related to the availability of technological tools, time (taxa collection, sorting and identification, when this skill is available, are long) (James et al. 2012) or financial (Krieger 1992, Strayer 2006) because of the human resources and the material to be mobilised. These points constitute obstacles to the progress of some studies or even points of renunciation. In order to facilitate the accessibility of these data and, thus, promote research projects on the importance of freshwater invertebrates in wetland ecosystems, we propose a literature review of the main biological characteristics of all freshwater invertebretates available in literature up to 2020.

Geographic coverage

Description

This literature review concerns the worldwide freshwater wetlands (lakes, rivers, marshes, temporary and permanent ponds etc.).

Taxonomic coverage

This dataset describes 656 taxa of freshwater invertebrates (Table 1).
Table 1.

Number of described taxa.

Phylum Subphylum Class Subclass Order Suborder Familly Genus Species
Annelida - Clitellata 223101414
-- Polychaeta 11110-
Arthropoda Chelicerata 121121-
- Crustacea 441210446698
- Hexapoda 21131598325209
Mollusca - Bivalvia 22-567
-- Gastropoda 361141721
Plathelminthes -1111355

Temporal coverage

Notes

The oldest publication was published in 1935 and the most recent in 2020.

Usage licence

Usage licence

Creative Commons Public Domain Waiver (CC-Zero)

Data resources

Data package title

Freshwater invertebrates characteristics data

Number of data sets

1

Data set 1.

Data set name

Freshwater invertebrates characteristics data

Data format

.txt

Number of columns

26

Description

This dataset describes 14 characteristics (size, dry weight, gross energy, crude protein etc.) for 656 taxa of freshwater invertebrates (Suppl. material 1). Headers corresponding to variable names are included as the first row in the data file. Each characteristic is subdivided into two categories, "value" corresponding to the value of the variable with sometimes a note corresponding to the comment associated with the value ("WS" for "with shell" and "SR" for "shell removed") and "reference" corresponding to the literature reference (Suppl. material 2). The datasets are deposited in Dryad (doi: 10.5061/dryad.j3tx95xfg).

Additional information

Steps of database building

Classification and characteristics of freshwater invertebrates: A literature review of the different morphological, calorific and nutritive characteristics of freshwater invertebrates was established. They were classified from phylum to species from three manuals of references (Balian et al. 2008a, Thorp and Covich 2009, Thorp and Rogers 2011). In this review, 104 scientific publications were used and 14 criteria were described: total length, head width or shell width, body length or shell length, wet weight, dry weight, gross energy of wet weight, gross energy of dry weight, gross energy of ash free dry weight, crude protein, crude lipid, crude fibre, nitrogen free extract, proportion of ash and water. Referencing and retranscription of literature values: Publications presenting original data or non-published data from another study were cited. Within publications, the values of the different criteria were represented heterogeneously (e.g. different measure units, taxonomic level). Due to this heterogeneity, all values were transformed to obtain a homogeneous set of measurement units and taxonomic level (i.e. μm in mm, µg in mg, kcal/g in cal/g, J/g in cal/g (1 J = 0.239006 cal), kJ/g in cal/g).

Prospects for use

Scientific literature shows that abundance of food resource is one of the first things that the animal ecologists measure when they want to understand the species they are studying, whether it is individual behaviour, reproduction or even population dynamics (Newton 1998). Thus, estimates of biomass or the calorific equivalent of freshwater organisms are necessary in the study of the food ecology of fish, amphibians or even birds. For example, the availability of food is often considered to be a fundamental factor affecting the migration and reproduction of animals, especially birds. For example, conventionally have a diet dominated by seeds and plant matter in winter, but aquatic invertebrates dominate in spring and summer (Krapu and Reinecke 1994). Thus, the annual migration of between the wintering and breeding site is often explained by the exploitation of abundant food resources at higher latitudes to increase breeding success (Berthold et al. 2003). In addition, many scientists agree that migration is programmed according to local peaks of food abundance at successive stopover sites in order to feed during migration and prepare for reproduction (Ankney et al. 1991, Drent and Daan 2002). After prenuptial migration, the majority of surface ducks must efficiently replenish fat and protein stores because egg formation and incubation are expensive processes (Alisauskas and Ankney 1992). Consequently, the abundance of food appears to be a decisive factor in the choice of breeding habitat (Pöysä et al. 2000). For all these reasons, the abundance, biomass and nutritional value of invertebrates are essential in studying habitat choice, reproductive success and annual cycles of dabbling ducks (Batt et al. 1992). In addition, prey size is essential to understand the food ecology of the organisms studied. For example, the Northern Shoveler has a spatula-shaped beak made up of many lamellae. This physical characteristic allows it to select only small prey, giving it a specific food niche. Thus, it is important to know the size of the prey available in order to understand the use of a site by this species. The abundance, biomass and nutritional value of freshwater invertebrates are, therefore, essential in the study of predatory of freshwater invertebrates (Towers et al. 1994). The most common method for determining the wet or dry weight of aquatic invertebrates is to directly weigh individual specimens (Smock 1980). However, this approach often takes time and is prone to error if individuals were fixed (Downing 1984). Indeed, preservative often modifies the fresh mass of conserved invertebrates (Johnston and Cunjak 1999). The dry mass measurement has the disadvantage of rendering the sample unusable for further examination following the drying process (Towers et al. 1994). In this case, a table synthesising the biometric and calorific data of freshwater invertebrates is a real benefit for the ecologist. Indeed, this table will allow freshwater ecologists to estimate biomass, energy and size class of freshwater invertebrates at survey sites quickly and economically. However, it is important to note that there is variation in calorific values due to the collection season, the diet of the organisms and the sex of the individuals (Arzel et al. 2009). In addition, there is variation in individual values because the measurements taken almost always include the intestinal contents of the organisms or because females carrying eggs should have the highest values for a given species (Cumminns 1967). Given the errors that environmentalists face, it might be more realistic to use a median or overall calorific value. For the taxon studied, this value is, thus, easily obtainable thanks to this table. Indeed, the comparison of values for the same species obtained in different laboratories should allow problems due to seasonal differences, habitat and diet to be overcome (Johnston and Cunjak 1999). Freshwater invertebrates characteristics data Morphological, calorific and nutritive File: oo_582217.txt Reference code References File: oo_551812.txt
RankScientific Name
phylum Annelida
subclass Hirudinida
genus Haemopis
family Hirudinidae
genus Macrobdella
family Erpobdellidae
species Dinadubia
genus Erpobdella
species Erpobdellaobscura
species Erpobdellaoctoculata
species Erpobdellapunctata
family Glossiphoniidae
species Glossiphoniacomplanata
species Helobdellastagnalis
species Theromyzonrude
family Piscicolidae
subclass Oligochaeta
family Naididae
species Aulodriluspigueti
species Branchiodrilussemperi
species Derolimosa
genus Limnodrilus
family Opistocystidae
family Tubificidae
genus Tubifex
family Lumbriculidae
species Lumbriculusvariegatus
species Stylodrilusheringianus
class Polychaeta
family Nereidae
family Hydrachnidiae
genus Limnochares
subclass Aranae
order Anostraca
species Branchinectapaludosa
species Streptocephalussealii
order Diplostraca
suborder Cladocera
species Acantholeberiscurvirostris
family Bosminidae
genus Bosmina
species Bosminacoregoni
species Bosminahagmanni
species Bosminalongirostris
species Bythotrepheslongimanus
family Chydoridae
genus Alona
species Alonaaffinis
species Alonacostata
species Alonarectangula
species Alonellaexigua
species Alonellanana
speciesChydorussphaericus
species Eurycercuslamellatus
species Graptoleberistestudinaria
species Leydigialeydigi
species Pleuroxusaduncus
species Acroperusharpae
species Dunhevediacrassa
family Daphniidae
species Ceriodaphniaquadrangula
species Ceriodaphniareticulata
species Ceriodaphniasilvestrii
genus Daphnia
species Daphniaambigua
species Daphniacristata
species Daphniacucullata
species Daphniadubia
species Daphniagaleata
species Daphniagessneri
species Daphniahyalina
species Daphniamagna
species Daphniapulex
species Diaphanosomaspinulosum
species Moinadubia
species Scapholeberismucronata
species Simocephalusvetulus
species Holopediumgibberum
family Leptodoridae
species Leptodorakindtii
species Leptodorakindtii
species Moinamacrocopa
species Moinamicrura
species Moinamongolica
species Polyphemuspediculus
species Diaphanosomabrachyurum
species Diaphanosomapauscispinosum
family Cyzicidae
species Caenestheriellasetosa
family Leptestheriidae
family Lynceidae
species Lynceusbrachyurus
order Notostraca
species Lepiduruscouesii
species Chirocephalopsisbundyi
order Amphipoda
genus Eogammarus
species Chelicorophiumcurvispinum
genus Corophium
species Crangonyxgracilis
species Crangonyxrichmondensis
species Gammaracanthuslacustris
family Gammaridae
genus Gammarus
species Gammarusfasciatus
species Gammarusfossarum
species Gammaruslacustris
species Gammaruspulex
species Gammarusroeseli
genus Hyalella
species Hyalellaazteca
species Hyalellacurvispina
species Pallasiolaquadrispinosa
species Paracalliopefluviatilis
family Pontogammaridae
species Monoporeiaaffinis
species Pontoporeiahoyi
family Talitridae
order Decapoda
genus Aegla
species Aeglaneuquensis
family Astacidae
family Cambaridae
species Faxoniusvirilis
species Atyaephyradesmarestii
species Macrobrachiumrosenbergii
species Palaemonlamarrie
species Samastacusspinifrons
genus Orconectes
order Isopoda
genus Gnorimosphaeroma
family Asellidae
genus Asellus
species Asellusaquaticus
species Caecidotearacovitzai
species Lirceuslineatus
species Proasellusmeridianus
family Sphaeromatidae
species Austridoteaannectens
family Mysidae
species Mysisrelicta
species Tenagomysischiltoni
subclass Copepoda
species Limnocalanusmacrurus
species Acanthocyclopsrobustus
species Mesocyclopsogunnus
family Diaptomidae
species Argyrodiaptomusazevedoi
species Diaptomusarcticus
species Diaptomusclavipes
species Diaptomusleptopus
species Diaptomusminutus
species Diaptomussiciloides
species Eudiaptomusgracilis
species Eudiaptomuspadanus
species Heliodiaptomuscinctus
species Notodiaptomuscearensis
species Notodiaptomusevaldus
species Notodiaptomusiheringi
species Eurytemoraaffinis
order Cyclopoida
family Cyclopidae
genus Cyclops
species Cyclopsabyssorum
species Cyclopsbicuspidatus
species Macrocyclopsalbidus
species Mesocyclopsedax
species Thermocyclopshyalinus
order Harpacticoida
class Ostracoda
family Cyprididae
species Stenocyprismalcolmsonii
order Collembola
order Coleoptera
family Dytiscidae
species Agabusbifarius
species Colymbetessculptilis
species Cybistertripunctatus
genus Dytiscus
species Dytiscusmarginalis
species Rhantusfrontalis
family Gyrinidae
species Gyrinusmaculiventris
species Enochrushamiltoni
species Galerucellanymphaeae
family Curculionidae
family Elmidae
species Ancronyxvariegata
genus Austrelmis
species Macronychusglabratus
genus Promoresia
genus Stenelmis
genus Optioservus
family Hydrophilidae
genus Cylomissus
species Enochruscarinatus
species Hydrophilusolivaceus
species Tropisternussetiger
genus Ectopria
genus Psephenus
species Anchytarsusbicolor
genus Hydrocyphon
order Diptera
family Athericidae
genus Atherix
species Atherixibis
genus Dasyoma
family Dolichopodidae
family Empididae
family Ephydridae
family Stratiomyiidae
genus Caloparyphus
species Hedriodiscustruquii
genus Stratiomys
family Syrphidae
genus Eristalis
family Tabanidae
genus Chrysops
genus Tabanus
suborder Nematocera
family Blephariceridae
genus Edwardsina
genus Blepharicera
family Ceratopogonidae
genus Palpomyia
genus Chaoborus
species Chaoborusflavicans
family Chironomidae
genus Ablabesmyia
species Ablabesmyiapulchripennis
genus Chironomus
species Chironomusmodestus
species Chironomusplumosus
species Chironomustentans
species Chironomuszealandicus
genus Cladopelma
genus Cladotanytarsus
genus Coelotanypus
genus Cricotopus
genus Dicrotendipes
species Dicrotendipestenuiforceps
species Endochironomusalbipennis
genus Glyptotendipes
species Glyptotendipesbarbipes
species Heterotrissocladiusgrimshawi
genus Metriocnemus
species Microtendipespedellus
genus Pagastiella
species Parakiefferiellanigra
genus Paratrichocladius
genus Paucispinigera
species Phaenopsectraalbescens
genus Polypedilum
species Polypedilumuncinatum
genus Procladius
genus Psectrocladius
species Psectrocladiussemicirculatus
species Psectrotanypusdyari
genus Tanytarsus
species Tanytarsuslewisi
genus Zavrelia
family Culicidae
species Aedesaegypti
species Aedescanadensis
species Culexpipiens
family Dixidae
genus Dixa
family Limoniidae
species Aphrophilaneozelandica
genus Hexatoma
genus Lipsothrix
genus Molophilus
genus Dicranota
genus Pedicia
genus Pilaria
family Psychodidae
genus Clogmia
genus Psychoda
family Sciaridae
family Simuliidae
genus Austrosimulium
genus Simulium
family Tipulidae
genus Hexatoma
genus Tipula
species Tipulaabdominalis
order Ephemeroptera
genus Baetisca
family Caenidae
genus Caenis
species Caenisdiminuta
species Caenishoraria
species Caenisrobusta
family Ephemerellidae
species Cincticostellanigra
species Cincticostellaorientalis
genus Drunella
species Drunellabasalis
genus Ephemerella
species Ephemerellaaurivillii
species Eurylophellatemporalis
genus Serratella
species Teloganopsispunctisetae
family Ephemeridae
genus Ephemera
species Ephemerajaponica
species Ephemerastrigata
genus Blasturus
genus Deleatidium
species Habrophlebiavibrans
genus Leptophlebia
species Leptophlebiavespertina
genus Meridialaris
species Nousiabella
genus Paraleptophlebia
species Paraleptophlebiawestoni
species Penaphlebiachilensis
genus Zephlebia
species Ephoronalbum
family Potamanthidae
genus Tricorythodes
genus Ameletus
species Ameletopsisperscitus
species Chiloportereatoni
family Ametropodidae
family Baetidae
genus Acentrella
species Acentrellagnom
species Baetiellajaponica
genus Baetis
species Baetisthermicus
genus Callibaetis
species Centroptilumluteolum
species Cloeondipterum
genus Heterocloeon
genus Pseudocloeon
species Coloburiscushumeralis
family Heptageniidae
genus Cinygmula
genus Ecdyonurus
species Ecdyonurusdispar
genus Epeorus
species Epeorusdispar
species Epeorusikanonis
species Epeoruslatifolium
species Epeoruspleuralis
genus Heptagenia
species Kageroniafuscogrisea
genus Leucrocuta
species Maccaffertiummeririvulanum
genus Nixe
genus Rhithrogena
species Stenacroncarolina
species Stenacroninterpunctatum
genus Stenonema
species Stenonemamodestum
genus Isonychia
species Isonychiajaponica
genus Nesameletus
genus Metamonius
species Siphloniscaaerodromia
genus Siphlonurus
order Hemiptera
species Aphelocheirusvittatus
family Belostomatidae
species Lethocerusdeyrollei
species Lethocerusindicus
family Corixidae
species Callicorixaaudeni
species Corisellamercenaria
species Corixapunctata
species Cymatiaamericana
family Gerridae
family Nepidae
species Laccotrephesjaponensis
species Laccotrephesmaculatus
species Laccotrephesruber
family Notonectidae
species Notonectaglauca
species Notonectakirbyi
species Neopleastriola
species Microveliamacgregori
order Hymenoptera
order Lepidoptera
family Pyralidae
genus Petrophila
order Megaloptera
family Corydalidae
species Archichauliodesdiversus
species Corydaluscornutus
species Nigroniaserricornis
species Parachauliodescontinentalis
species Protohermesgrandis
family Sialidae
genus Sialis
species Sialisaequalis
species Sialisitasca
species Sialislutaria
species Sialisvelata
order Neuroptera
order Odonata
suborder Anisoptera
family Aeshnidae
genus Aeshna
species Aeshnainterrupta
species Cordulegastermaculata
species Corduliaaenea
genus Epitheca
species Epithecacynosura
species Epithecasemiaquea
species Neurocorduliamolesta
genus Dromogomphus
family Gomphidae
genus Gomphus
species Lanthusvernalis
species Megalogomphussuperbus
species Progomphusobscurus
species Sieboldiusalbardae
family Libellulidae
species Celithemisfasciata
species Crocothemisservilia
species Erythemissimplicicollis
species Ladonadeplanata
genus Libellula
species Plathemislydia
genus Procordulia
species Sympetruminternum
suborder Zygoptera
family Calopterygidae
genus Calopteryx
family Coenargionidae
genus Argia
species Argiavivida
species Coenagrionangulatum
species Coenagrionresolutum
species Enallagmaboreale
genus Ischnura
species Ischnuraelegans
genus Xanthocnemis
family Lestidae
species Lestescongener
species Lestesdisjunctus
species Lestesdryas
species Lestesmalabaricus
species Lestesrectangularis
order Orthoptera
order Plecoptera
species Austroperlacyrene
species Klapopteryxkuscheli
species Stenoperlaprasina
species Antarctoperlamichaelseni
species Aubertoperlailliesi
species Limnoperlajaffueli
species Notoperlaarchiplatae
species Notoperlopsisfemina
species Potamoperlamyrmidon
species Senzilloidespanguipulli
genus Zelandobius
genus Zelandoperla
genus Allocapnia
species Allocapniarickeri
family Chloroperlidae
genus Sweltsa
genus Leuctra
family Nemouridae
genus Amphinemura
species Amphinemuradelosa
species Amphinemurawui
species Prostoiacompleta
genus Tallaperla
genus Acroneuria
species Acroneuriaabnormis
species Acroneuriaevoluta
species Agnetinacapitata
species Beloneuriageorgiana
genus Caroperla
species Eccopturaxanthenes
species Kamimuriauenoi
species Kempnyelagenualis
genus Kiotina
genus Neoperla
species Neoperlaclymene
genus Paragnetina
species Paragnetinakansensis
genus Perla
genus Perlesta
species Perlestaplacida
species Perlinelladrymo
species Pictetoperlagayi
family Perlodidae
species Clioperlaclio
genus Isogenus
genus Isoperla
species Isoperlabilineata
species Isoperlanamata
species Isoperlasignata
species Malirekushastatus
genus Perlodes
genus Stavsolus
species Pteronarcysdorsata
species Pteronarcysscotti
genus Strophopteryx
species Strophopteryxlimata
genus Taeniopteryx
species Taeniopteryxlita
order Trichoptera
family Ecnomidae
species Ecnomustenellus
family Hydropsychidae
genus Aoteapsyche
genus Cheumatopsyche
species Cheumatopsycheinfascia
genus Hydropsyche
species Hydropsychealbicephala
species Hydropsychedissimulata
species Hydropsycheelissoma
species Hydropsychepellucidula
species Hydropsychesparna
species Hydropsycheincommoda
species Macronemapseudoneura
species Macrostemumcarolina
genus Smicridea
genus Chimarra
genus Dolophilodes
family Polycentropodidae
genus Cyrnus
species Cyrnuscrenaticornis
species Cyrnusflavidus
species Cyrnustrimaculatus
genus Neureclipsis
genus Polycentropus
species Polycentropusflavomaculatus
family Psychomyiidae
species Lypediversa
species Tinodeswaeneri
species Stenopsychemarmorata
species Stenopsychesauteri
genus Brachycentrus
species Brachycentrusetowahensis
genus Micrasema
species Micrasemaquadriloba
genus Phylloicus
species Olingaferedayi
genus Pycnocentrodes
species Goerajaponica
genus Helicopsyche
genus Lepidostoma
family Leptoceridae
genus Athripsodes
species Athripsodesaterrimus
genus Ceraclea
species Mystacideslongicornis
species Mystacidesnigra
genus Nectopsyche
genus Oecetis
species Triaenodestardus
family Limnephilidae
genus Anabolia
species Anaboliabimaculata
species Anaboliafurcata
species Dicosmoecusjozankeanus
species Hydatophylaxfestivus
species Ironoquiaparvula
genus Limnephilus
species Limnephilusjanus
species Limnephilusrhombicus
species Philarctusquaeris
species Potamophylaxcingulatus
species Pycnopsycheguttifera
species Pycnopsychelepida
species Pycnopsycheluculenta
species Pycnopsychescabripennis
species Molannaangustata
genus Psilotreta
family Phryganeidae
species Agrypniaobsoleta
genus Phryganea
species Phryganeacinerea
genus Ptilostomis
family Sericostomatidae
species Agarodeslibalis
species Fattigiapele
species Parasericostomaovale
genus Glossosoma
species Glossosomaaltaicum
species Glossosomanigrior
species Glossosomaussuricum
family Hydrobiosidae
genus Neoatopsyche
genus Rheochorema
genus Cailloma
family Hydroptilidae
genus Hydroptila
genus Orthotrichia
genus Oxyethira
genus Paroxyethira
family Rhyacophilidae
genus Rhyacophila
species Rhyacophilakawamurae
species Rhyacophilavao
family Corbiculidae
species Dreissenapolymorpha
family Sphaeriidae
genus Pisidium
species Pisidiumcasertanum
family Hyriidae
family Unionidae
species Anodontacataracta
species Elliptiocomplanata
species Leptodeaochracea
species Parreysiafavidens
species Parreysiakhadakvaslaensis
class Gastropoda
family Viviparidae
species Bellamyadissimilis
family Amnicolidae
species Amnicolastenothyroides
family Bithyniidae
species Bithyniatentaculata
family Hydrobiidae
species Potamopyrgusantipodarum
family Bithyniidae
species Elimiacahawbensis
species Elimiacarinifera
species Elimiafascinans
species Elimiavariata
species Pleuroceracanaliculatum
family Thiaridae
species Melanoidestuberculata
family Valvatidae
species Valvatacristata
species Succineaovalis
family Acroloxidae
species Chilinagibbosa
species Chilinapatagonica
family Lymnaeidae
species Lymnaeastagnalis
species Radixperegra
family Physidae
family Planorbidae
genus Ancylus
species Anisusvortex
genus Gyraulus
species Gyraulusalbus
species Gyrauluscrista
species Hippeutiscomplanatus
species Planorbisindicus
phylum Platyhelminthes
class Rhabditophora
order Tricladida
species Dendrocoelumlacteum
species Curaforemanii
species Dugesiatigrina
genus Girardia
species Girardiatigrina
species Polycelisnigra
Data set 1.
Column labelColumn description
IDUnique number corresponding to a described taxa
PhylumIdentification of taxa (Phylum)
SubphylumIdentification of taxa (Subphylum)
ClassIdentification of taxa (Class)
SubclassIdentification of taxa (Subclass)
OrderIdentification of taxa (Order)
SuborderIdentification of taxa (Suborder)
FamilyIdentification of taxa (Familly)
GenusIdentification of taxa (Genus)
SpeciesIdentification of taxa (Genus + Species)
TaxaIdentification of taxa (Taxa)
LifeStageThe life stage of the taxa, i.e. "Larvae", "Larvae I", "Larvae II", "Larvae III", "Larvae IV", "Larvae V", "Larvae VI", "Nymph", "Pupae" or "Adult".
TL (value)Total length in millimetres
HW/SW (value)Head width / Shell width in millimetres
BL/SL (value)Body length / Shell length in millimetres
WW (value)Wet weight in milligrams
DW (value)Dry weight in milligrams
GE-WW (value)Gross energy in cal/g of wet weight
GE-DW (value)Gross energy in cal/g of dry weight
GE-AFDW (value)Gross energy in cal/g of ash free dry weight
Protein (value)Crude protein in % of aggregate dry weight
Lipid (value)Crude lipid in % of aggregate dry weight
Fibre (value)Crude fibre in % of aggregate dry weight
NFE (value)Nitrogen Free Extract in % of aggregate dry weight
Ash (value)Ash in % of aggregate dry weight
Water (value)Water in % of aggregate dry weight
  11 in total

1.  Doubling the estimate of invertebrate biomass in a rainforest canopy.

Authors:  Martin D F Ellwood; William A Foster
Journal:  Nature       Date:  2004-06-03       Impact factor: 49.962

2.  Ecology. Tropical arthropod species, more or less?

Authors:  Robert M May
Journal:  Science       Date:  2010-07-02       Impact factor: 47.728

Review 3.  Terrestrial and aquatic invertebrates as bioindicators for environmental monitoring, with particular reference to mountain ecosystems.

Authors:  Ian D Hodkinson; John K Jackson
Journal:  Environ Manage       Date:  2005-05       Impact factor: 3.266

4.  Aquatic invertebrates as indicators of stream pollution.

Authors:  A R GAUFIN; C M TARZWELL
Journal:  Public Health Rep       Date:  1952-01       Impact factor: 2.792

5.  Nestling provisioning in water pipits (Anthus spinoletta): do parents go for specific nutrients or profitable prey?

Authors:  Paul A Brodmann; Heinz-Ulrich Reyer
Journal:  Oecologia       Date:  1999-09       Impact factor: 3.225

6.  Invertebrates, ecosystem services and climate change.

Authors:  Chelse M Prather; Shannon L Pelini; Angela Laws; Emily Rivest; Megan Woltz; Christopher P Bloch; Israel Del Toro; Chuan-Kai Ho; John Kominoski; T A Scott Newbold; Sheena Parsons; A Joern
Journal:  Biol Rev Camb Philos Soc       Date:  2012-12-06

7.  The magnitude of global marine species diversity.

Authors:  Ward Appeltans; Shane T Ahyong; Gary Anderson; Martin V Angel; Tom Artois; Nicolas Bailly; Roger Bamber; Anthony Barber; Ilse Bartsch; Annalisa Berta; Magdalena Błażewicz-Paszkowycz; Phil Bock; Geoff Boxshall; Christopher B Boyko; Simone Nunes Brandão; Rod A Bray; Niel L Bruce; Stephen D Cairns; Tin-Yam Chan; Lanna Cheng; Allen G Collins; Thomas Cribb; Marco Curini-Galletti; Farid Dahdouh-Guebas; Peter J F Davie; Michael N Dawson; Olivier De Clerck; Wim Decock; Sammy De Grave; Nicole J de Voogd; Daryl P Domning; Christian C Emig; Christer Erséus; William Eschmeyer; Kristian Fauchald; Daphne G Fautin; Stephen W Feist; Charles H J M Fransen; Hidetaka Furuya; Oscar Garcia-Alvarez; Sarah Gerken; David Gibson; Arjan Gittenberger; Serge Gofas; Liza Gómez-Daglio; Dennis P Gordon; Michael D Guiry; Francisco Hernandez; Bert W Hoeksema; Russell R Hopcroft; Damià Jaume; Paul Kirk; Nico Koedam; Stefan Koenemann; Jürgen B Kolb; Reinhardt M Kristensen; Andreas Kroh; Gretchen Lambert; David B Lazarus; Rafael Lemaitre; Matt Longshaw; Jim Lowry; Enrique Macpherson; Laurence P Madin; Christopher Mah; Gill Mapstone; Patsy A McLaughlin; Jan Mees; Kenneth Meland; Charles G Messing; Claudia E Mills; Tina N Molodtsova; Rich Mooi; Birger Neuhaus; Peter K L Ng; Claus Nielsen; Jon Norenburg; Dennis M Opresko; Masayuki Osawa; Gustav Paulay; William Perrin; John F Pilger; Gary C B Poore; Phil Pugh; Geoffrey B Read; James D Reimer; Marc Rius; Rosana M Rocha; José I Saiz-Salinas; Victor Scarabino; Bernd Schierwater; Andreas Schmidt-Rhaesa; Kareen E Schnabel; Marilyn Schotte; Peter Schuchert; Enrico Schwabe; Hendrik Segers; Caryn Self-Sullivan; Noa Shenkar; Volker Siegel; Wolfgang Sterrer; Sabine Stöhr; Billie Swalla; Mark L Tasker; Erik V Thuesen; Tarmo Timm; M Antonio Todaro; Xavier Turon; Seth Tyler; Peter Uetz; Jacob van der Land; Bart Vanhoorne; Leen P van Ofwegen; Rob W M van Soest; Jan Vanaverbeke; Genefor Walker-Smith; T Chad Walter; Alan Warren; Gary C Williams; Simon P Wilson; Mark J Costello
Journal:  Curr Biol       Date:  2012-11-15       Impact factor: 10.834

8.  The use of invertebrates as indicators of environmental change in alpine rivers and lakes.

Authors:  K Khamis; D M Hannah; L E Brown; R Tiberti; A M Milner
Journal:  Sci Total Environ       Date:  2014-03-17       Impact factor: 7.963

9.  Nesting mallards (Anas platyrhynchos) forecast brood-stage food limitation when selecting habitat: experimental evidence.

Authors:  H Pöysä; J Elmberg; K Sjöberg; P Nummi
Journal:  Oecologia       Date:  2000-03       Impact factor: 3.225

Review 10.  Invertebrate organisms as biological indicators of heavy metal pollution.

Authors:  R Dallinger
Journal:  Appl Biochem Biotechnol       Date:  1994-07       Impact factor: 2.926

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