10.5061/DRYAD.NP5HQBZXH
Kanno, Yoichiro
0000-0001-8452-5100
Colorado State University
Kim, Seoghyun
Colorado State University
Pregler, Kasey
Colorado State University
Capture history data for: Sub-seasonal correlation between growth and
survival in three sympatric aquatic ectotherms
Dryad
dataset
2022
FOS: Earth and related environmental sciences
Nocomis leptocephalus
Semotilus atromaculatus
Cottus bairdii
Cormack-Jolly-Seber
mark-recapture
JAGS
PIT tags
2022-11-02T00:00:00Z
2022-11-02T00:00:00Z
en
https://doi.org/10.1111/oik.09685
107397 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Animals experience seasonally changing conditions in temperate regions,
thus population vital rates change seasonally. However, knowledge is
lacking on patterns of seasonal correlation between growth and survival in
sympatric ectotherms, and this knowledge gap limits our understanding of
environmental change impacts on animal populations and communities. Here,
we investigated sub-seasonal (2-month intervals) correlation between
growth and survival in three stream fishes (bluehead chub Nocomis
leptocephalus, creek chub Semotilus atromaculatus, and mottled sculpin
Cottus bairdii) in South Carolina, USA, via a mark-recapture survey over
28 months. We found that the patterns of temporal correlation between
growth and survival differed among the sympatric species. Growth increased
and survival decreased with water temperature in two eurythermal species
(bluehead chub and creek chub), resulting in a negative correlation
between growth and survival. Growth peaked in sub-seasons with an
intermediate water temperature range in a third stenothermal species
(mottled sculpin), while survival decreased with water temperature for
this species too. Consequently, there was no significant negative or
positive correlation between sub-seasonal growth and survival in the
stenothermal species. Negative correlation among population vital rates
stabilizes population size over time and buffers animal populations from
environmental change because the vital rates are not affected
simultaneously in the same direction, indicating some degree of resiliency
in the face of climate changes in the two eurythermal species. However,
such a demographic mechanism of resiliency could be maintained so long as
climate warming does not exceed optimal growth temperature, above which a
negative correlation between growth and survival may no longer be
maintained.
We conducted mark-recapture sampling in the 740m study area of Indian
Creek, South Carolina, USA, between November 2015 and March 2018 at an
interval of two months (mean = 61 days [range = 48-70]). An average window
of 4 days was required for each sampling occasion (range = 1-10 days). The
study area was divided into 20-m sections, which were sampled in an
upstream direction on each sampling occasion by backpack electrofishing
units (Smith Root Model LR-24; and Halltech Aquatic Research Inc. Model
HT-2000) using a two-pass depletion approach. We marked all captured fish
≥ 60 mm in total length (TL) for bluehead chub and creek chub and ≥ 50 mm
TL for mottled sculpin with 8-mm passive integrated transponder (PIT) tags
(Oregon RFID; Biomark). We measured TL (mm) of all marked and recaptured
fish before they were returned to the section of capture alive. Across 15
sampling occasions between November 2015 and March 2018, we uniquely
tagged a total of 429 individuals of bluehead chub, 664 individuals of
creek chub, and 928 individuals of mottled sculpin. Our data set includes
a capture histority of 2,201 individuals of the three fish species used in
Cormack-Jolly-Seber models.
Column name Description Obs_ID Observation ID for each individual (1
through 2,021) PIT_Tag_ID Unique individual ID based on Passive Integrated
Transponder tags Spp_ID 1 = Blueahed chub, 2 = Creek chub, 3 = Mottled
sculpin Spp_Name BHC = Bluehead chub, CRC = Creek chub, MTS = Mottled
sculpin Remaining columns (Nov_2015 through Mar_2018 for a total of 15
sampling occasions Capture history where 1 = captured and 0 = not captured
Please contact Yoichiro Kanno (yoichiro.kanno@colostate.edu) when this
data set is used for research, teaching, and outreach activities.