PANGAEA_964066
Chironomid percentage-abundances for surface sediment samples obtained from 8 lakes in the Plymouth area (Massachusetts, US)
Engels, Stefan; Cwynar, Les C
Chironomid percentage-abundances for surface sediment samples obtained from 8 lakes in the Plymouth area (Massachusetts, US)
2023-12-18
PANGAEA
Dataset
https://doi.pangaea.de/10.1594/PANGAEA.964066
Investigator
Stefan
Engels
s.engels@bbk.ac.uk
Earth Science
Event label
Date/Time of event
Latitude of event
Longitude of event
ORDINAL NUMBER
Sample code/label
DEPTH, sediment/rock
Lake, water depth, maximum
Depth, bathymetric
Ablabesmyia
Thienemanniella
Chironomus anthracinus-type
Chironomus plumosus-type
Cladopelma lateralis-type
Cladotanytarsus mancus-type
Corynoneura edwardsi-type
Cricotopus laricomalis-type
Cricotopus cylindraceus-type
Cricotopus trifasciatus-type
Cricotopus obnixus-type
Cricotopus bicinctus-type
Cryptochironomus
Demicryptochironomus
Dicrotendipes nervosus-type
Endochironomus albipennis-type
Endochironomus impar-type
Einfeldia
Georthocladius
Glyptotendipes barbipes-type
Glyptotendipes severini-type
Gymnometriocnemus/Bryophaenocladius
Heterotanytarsus
Unniella
Heterotrissocladius grimshawi-type
Heterotrissocladius marcidus-type
Heterotrissocladius subpilosus-type
Labrundinia
Lauterborniella/Zavreliella
Limnophyes
Microtendipes pedellus-type
Nanocladius
Oliveridia
Pagastiella
Parametriocnemus/Paraphaenocladius
Parachironomus vitiosus-type
Parachironomus varus-type
Parachironomus potamogeti-type
Paracladopelma
Parakiefferiella bathophila-type
Parakiefferiella triquetra-type
Parakiefferiella-type A
Paralauterborniella
Paratanytarsus austriacus-type
Paratanytarsus penicillatus-type
Paratendipes albimanus-type
Paratendipes nudisquama-type
Phaenopsectra
Polypedilum nubeculosum-type
Polypedilum sordens-type
Polypedilum
Procladius
Psectrocladius flavus-type
Psectrocladius calcaratus-type
Psectrocladius sordidellus-type
Pseudochironomus
Pseudosmittia
Pseudorthocladius
Smittia
Stempellina
Neostempellina
Stempellinella/Zavrelia
Stenochironomus
Stictochironomus rosenschoeldi-type
Synorthocladius
Tanytarsus chinyensis-type
Micropsectra insignilobus-type
Tanytarsus glabrescens-type
Tanytarsus lugens-type
Tanytarsus mendax-type
Tanytarsus pallidicornis-type
Cladotanytarsus-type A
Thienemannimyia
Tribelos
Xenochironomus
Zalutschia-type B
Zalutschia zalutschicola
Guttipelopia
Nilothauma
Chironomini indeterminata
Orthocladiinae indeterminata
Tanypodinae indeterminata
Tanytarsini indeterminata
Chironomidae indeterminata
Ceratopogonidae
Chaoborus
geoscientificInformation
BloodyPond_BP-001
BloodyPond_BP-002
BloodyPond_BP-003
BloodyPond_BP-004
BloodyPond_BP-005
BloodyPond_BP-006
BloodyPond_BP-101
BloodyPond_BP-102
BloodyPond_BP-103
BloodyPond_BP-105
BloodyPond_BP-106
BloodyPond_BP-107
BloodyPond_BP-108
BloodyPond_BP-201
BloodyPond_BP-202
BloodyPond_BP-203
BloodyPond_BP-204
BloodyPond_BP-205
BloodyPond_BP-206
BP-001
BP-002
BP-003
BP-004
BP-005
BP-006
BP-101
BP-102
BP-103
BP-105
BP-106
BP-107
BP-108
BP-201
BP-202
BP-203
BP-204
BP-205
BP-206
Chironomids
CP-001
CP-002
CP-003
CP-004
CP-005
CP-006
CP-007
CP-008
CP-009
CP-010
CP-011
CP-012
CP-013
CP-014
CP-015
CP-016
CP-017
CP-018
CP-019
CP-020
CP-021
CP-022
CP-023
CP-024
CP-025
CP-026
CrookedPond_CP-001
CrookedPond_CP-002
CrookedPond_CP-003
CrookedPond_CP-004
CrookedPond_CP-005
CrookedPond_CP-006
CrookedPond_CP-007
CrookedPond_CP-008
CrookedPond_CP-009
CrookedPond_CP-010
CrookedPond_CP-011
CrookedPond_CP-012
CrookedPond_CP-013
CrookedPond_CP-014
CrookedPond_CP-015
CrookedPond_CP-016
CrookedPond_CP-017
CrookedPond_CP-018
CrookedPond_CP-019
CrookedPond_CP-020
CrookedPond_CP-021
CrookedPond_CP-022
CrookedPond_CP-023
CrookedPond_CP-024
CrookedPond_CP-025
CrookedPond_CP-026
DeepPond_DP-1
DeepPond_DP-2
DeepPond_DP-3
DeepPond_DP-4
DeepPond_DP-5
DIC-001
DIC-002
DIC-101
DIC-102
DIC-103
DIC-104
DicksPond_DIC-001
DicksPond_DIC-002
DicksPond_DIC-101
DicksPond_DIC-102
DicksPond_DIC-103
DicksPond_DIC-104
DP-1
DP-2
DP-3
DP-4
DP-5
Gravity corer
lake depth
LittleWestPond_LWP-101
LittleWestPond_LWP-102
LittleWestPond_LWP-103
LittleWestPond_LWP-104
LittleWestPond_LWP-105
LittleWestPond_LWP-106
LittleWestPond_LWP-107
LittleWestPond_LWP-108
LittleWestPond_LWP-109
LongPond_LOP-001
LongPond_LOP-002
LongPond_LOP-003
LongPond_LOP-004
LongPond_LOP-005
LongPond_LOP-006
LongPond_LOP-007
LongPond_LOP-008
LongPond_LOP-009
LongPond_LOP-010
LongPond_LOP-011
LongPond_LOP-012
LongPond_LOP-013
LongPond_LOP-014
LongPond_LOP-201
LongPond_LOP-203
LongPond_LOP-204
LongPond_LOP-205
LongPond_LOP-206
LongPond_LOP-207
LongPond_LOP-209
LongPond_LOP-210
LongPond_LOP-211
LongPond_LOP-212
LongPond_LOP-213
LOP-001
LOP-002
LOP-003
LOP-004
LOP-005
LOP-006
LOP-007
LOP-008
LOP-009
LOP-010
LOP-011
LOP-012
LOP-013
LOP-014
LOP-201
LOP-203
LOP-204
LOP-205
LOP-206
LOP-207
LOP-209
LOP-210
LOP-211
LOP-212
LOP-213
LWP-101
LWP-102
LWP-103
LWP-104
LWP-105
LWP-106
LWP-107
LWP-108
LWP-109
MIC-001
MIC-002
MIC-003
MIC-004
MIC-005
MIC-006
MIC-007
MIC-008
MIC-009
MIC-010
MIC-011
MIC-012
MIC-013
MIC-014
MIC-101
MIC-102
MIC-103
MIC-104
MIC-105
MIC-106
MIC-107
MIC-108
MIC-109
MIC-110
MIC-111
MicajahPond_MIC-001
MicajahPond_MIC-002
MicajahPond_MIC-003
MicajahPond_MIC-004
MicajahPond_MIC-005
MicajahPond_MIC-006
MicajahPond_MIC-007
MicajahPond_MIC-008
MicajahPond_MIC-009
MicajahPond_MIC-010
MicajahPond_MIC-011
MicajahPond_MIC-012
MicajahPond_MIC-013
MicajahPond_MIC-014
MicajahPond_MIC-101
MicajahPond_MIC-102
MicajahPond_MIC-103
MicajahPond_MIC-104
MicajahPond_MIC-105
MicajahPond_MIC-106
MicajahPond_MIC-107
MicajahPond_MIC-108
MicajahPond_MIC-109
MicajahPond_MIC-110
MicajahPond_MIC-111
Surface samples
UnionPond_UP-001
UnionPond_UP-002
UnionPond_UP-003
UnionPond_UP-004
UnionPond_UP-005
UnionPond_UP-006
UnionPond_UP-007
UnionPond_UP-101
UnionPond_UP-102
UnionPond_UP-103
UnionPond_UP-104
UnionPond_UP-105
UnionPond_UP-106
UnionPond_UP-107
United States
UP-001
UP-002
UP-003
UP-004
UP-005
UP-006
UP-007
UP-101
UP-102
UP-103
UP-104
UP-105
UP-106
UP-107
Counting, microscope
2009-06-19
2009-09-11
Complete
41.563613
41.922692
-70.707927
-70.580719
unrestricted
CC-BY-4.0: Creative Commons Attribution 4.0 International
English
PANGAEA
Data Publisher for Earth & Environmental Science
https://www.pangaea.de/
Data Center Contact
Michael
Diepenbroek
info@pangaea.de
Leobener Str.
Bremen
Bremen
28359
Germany
online
11585 data points
text/tab-separated-values
Engels, Stefan; Cwynar, Les C (2011): Changes in fossil chironomid remains along a depth gradient: evidence for common faunal thresholds within lakes. Hydrobiologia, 665(1), 15-38, https://doi.org/10.1007/s10750-011-0601-z
Engels, Stefan; Cwynar, Les C; Rees, Andrew BH; Shuman, Bryan N (2012): Chironomid-based water depth reconstructions: an independent evaluation of site-specific and local inference models. Journal of Paleolimnology, 48(4), 693-709, https://doi.org/10.1007/s10933-012-9638-x
Oliver, Donald R; Russel, Mary E (1983): The genera of larval midges of Canada : Diptera-Chironomidae. Part 11; The insects and arachnids of Canada, Agriculture Canada, 263 pp
This dataset provides the percentage-abundances of chironomid taxa identified in a set of surface sediment samples taken in the Plymouth area (Massachusetts, United States) in 2009. For each sample, a short sediment core was retrieved from a rubber dinghy using a gravity corer (both the Glew and the mini-Glew models were used) during field work in June and September 2009. Volumetric samples taken from the 0-1cm sediment depth sample were subsequently processed in the laboratory (University of New Brunswick, Canada) using standard protocols. The procedure involved placing the sample aliquot in a glass beaker and submerging it in warm 10% KOH for ca. 20 mins. Subsequently the material was rinsed over a 100µm mesh and individual head capsules were hand-sorted from the residue and mounted on microscope slides. Chironomid head capsules were identified using Brooks et al. 2007 and encountered taxa that were not present in that handbook are illustrated and described in Engels & Cwynar (2011).
This dataset provides chironomid abundances (expressed as percentage of the total chironomid sum) as well as measurements of water depth for each of the samples; Engels & Cwynar (2011) provide additional environmental observations for each of the 8 lakes sampled. A total of 132 surface sediment samples were originally counted, but as 3 samples only reached total chironomid count sums of less-than-50 these were removed from the original dataset, resulting in a final dataset consisting of 129 samples. The chironomid data provides information on within-lake distribution patterns of chironomid taxa for each of the 8 lakes sampled. The dataset was used to determine depth-preferences of each of the taxa encountered, and to determine common threshold depths (i.e. those water depths where abrupt changes in the composition of the chironomid fauna take place). These data were subsequently used to produce site-specific (i.e. one lake) and regional (i.e. 7- or 8-lake) chironomid-water depth inference models. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.964066"! ** Surface samples obtained from 8 lakes, with different number of samples taken from each lake: Bloody Pond – 19 samples; Crooked Pond – 26 samples; Deep Pond -5 samples; Dicks Pond – 6 samples; Little West Pond – 9 samples; Long Pond – 25 samples; Micajah Pond – 25 samples; UP: Union Pond – 14 samples. Ceratopogonidea head capsules and Chaeborus mandibles are included in line with other publications from the Nearctic region.
Stenochironomus type "Mt" was counted as a separate taxon by Engels & Cwynar 2011; it is easily distinguished from the typical Stenochironomus morphotype as it only has 1 single median tooth. Later it was found that this taxon actually represents 1-instar Stenochironomus larval head capsules. In future studies, it should be amalgamated with Stenochironomus.
https://doi.org/10.1007/s10750-011-0601-z
Changes in fossil chironomid remains along a depth gradient: evidence for common faunal thresholds within lakes
https://doi.org/10.1007/s10933-012-9638-x
Chironomid-based water depth reconstructions: an independent evaluation of site-specific and local inference models
DIF
9.4
2023-12-18
2026-04-30