Subscriber access provided by UNIV OF SOUTHERN INDIANA
Ecotoxicology and Human Environmental Health
Stream mesocosm experiments show significant differences in sensitivity of larval and emerging adults to metals Christopher J Kotalik, and William H Clements Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.9b00883 • Publication Date (Web): 11 Jun 2019 Downloaded from http://pubs.acs.org on June 12, 2019
Just Accepted “Just Accepted” manuscripts have been peer-reviewed and accepted for publication. They are posted online prior to technical editing, formatting for publication and author proofing. The American Chemical Society provides “Just Accepted” as a service to the research community to expedite the dissemination of scientific material as soon as possible after acceptance. “Just Accepted” manuscripts appear in full in PDF format accompanied by an HTML abstract. “Just Accepted” manuscripts have been fully peer reviewed, but should not be considered the official version of record. They are citable by the Digital Object Identifier (DOI®). “Just Accepted” is an optional service offered to authors. Therefore, the “Just Accepted” Web site may not include all articles that will be published in the journal. After a manuscript is technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Note that technical editing may introduce minor changes to the manuscript text and/or graphics which could affect content, and all legal disclaimers and ethical guidelines that apply to the journal pertain. ACS cannot be held responsible for errors or consequences arising from the use of information contained in these “Just Accepted” manuscripts.
is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 Published by American Chemical Society. Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.
Page 1 of 31
Environmental Science & Technology
1
Stream mesocosm experiments show significant differences in sensitivity of larval and
2
emerging adults to metals
3 4
Christopher J. Kotalik* and William H. Clements
5
Department of Fish, Wildlife and Conservation Biology,
6
Colorado State University
7
Fort Collins, Colorado 80521, United States
8 9 10
* Corresponding Author e-mail:
[email protected] 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
1 ACS Paragon Plus Environment
Environmental Science & Technology
26
Abstract
27
Evaluations of aquatic insect responses to contaminants typically use larval life stages to
28
characterize taxa sensitivity, but the effects of contaminants to emerging terrestrial adults has
29
received less attention. We present the results of two stream mesocosm experiments that exposed
30
aquatic insects to mixtures of Cu and Zn. We compared responses of larvae and emerging adults
31
in a single-species experiment with the mayfly Rhithrogena robusta and a benthic community
32
experiment. Results showed that R. robusta larvae and emerging adults were highly tolerant of
33
metals. In the benthic community experiment, larval and emerging adult life stages of the mayfly
34
Baetidae were highly sensitive to metals exposure, with significant alterations in adult sex ratios.
35
In contrast, the emergence of Chironomidae (midge) was unaffected, but larval abundance
36
strongly decreased. Timing of adult emergence was significantly different among treatments and
37
varied among taxa, with emergence stimulation in Chironomidae and delays in emergence in R.
38
robusta and Simuliidae. Our results demonstrate that metal tolerance in aquatic insects is life
39
stage dependent and that taxa sensitivity is influenced by a combination of physiology and
40
phylogeny. Regulatory frameworks would benefit by including test results that account for
41
effects of contaminants on metamorphosis and adult insect emergence for the development of
42
aquatic life standards.
43 44 45 46 47
2 ACS Paragon Plus Environment
Page 2 of 31
Page 3 of 31
Environmental Science & Technology
48
Introduction
49
Evaluations of aquatic insect responses to contaminants predominately use immature life stages
50
(hereafter referred to as “larvae”) to characterize taxa sensitivity, but the morphological
51
transition from larvae to terrestrial adults has received considerably less attention. Most aquatic
52
insects metamorphose to winged-terrestrial adults to reproduce and complete their life cycle.1
53
Emerging adults provide crucial prey subsidies to linked riparian consumers such as birds, bats,
54
and spiders,2,3 and they supply detrital material and nutrients to terrestrial ecosystems.4,5 Adults
55
are also a vector for contaminant transfer from aquatic to terrestrial ecosystems.6-9 Similar to the
56
morphological and physiological development during early life stages of fish and other aquatic
57
vertebrates, invertebrate metamorphosis is a biologically stressful process because of the greater
58
energy requirements and cell differentiation that occur during tissue reorganization.10 Therefore,
59
assessment of insect larval responses alone may not adequately characterize the effects of
60
contaminants on adult emergence.11-14
61
Field and laboratory studies of aquatic insect emergence have shown greater sensitivity of
62
emerging adults to trace metals compared to larvae.12- 13 Energy used by larvae to detoxify metals
63
at sublethal concentrations may decrease the metabolic resources available to successfully
64
complete metamorphosis.15-18 Metal exposure can reduce insect emergence and affect linked
65
terrestrial ecosystems that are dependent on aquatic subsidies.9 However, metal flux to riparian
66
systems by emerging adults is influenced by the strength of the resource linkage (e.g., number of
67
emerging larvae), and the decrease of metal body burden from larvae to adults after
68
metamorphosis.19-22
69
Quantifying the relationship of metal exposure and emergence propensity in the field is
70
complicated by the seasonality of emergence, colonization, and the inability to control for
71
extraneous variables.23 Traditional testing methodology employed in single-species toxicity tests 3 ACS Paragon Plus Environment
Environmental Science & Technology
72
is also limited in evaluating adult insect emergence. Because organisms commonly used in
73
laboratory toxicity tests (e.g., Daphnia spp., Ceriodaphnia dubia) do not metamorphose into a
74
terrestrial adult life stage, there is no equivalent endpoint in these studies. Full-life cycle tests
75
with the parthenogenetic mayfly Neocloeon triangulifer have shown differences in sensitivity to
76
metals among life stages through metamorphosis, demonstrating the importance of evaluating
77
adult emergence.13-14 Community-level mesocosm experiments provide an opportunity to
78
quantify the relationship between metal exposure and emergence because a diversity of
79
indigenous aquatic insect taxa are exposed through multiple instar sizes and life stages.24
80
To test the effects of metal exposure on larvae and emerging adults, we conducted two
81
stream mesocosm experiments. We compared the life stage responses of a developmentally
82
mature, late-instar mayfly (Ephemeroptera: Heptageniidae) to the responses of three dominant
83
taxa obtained from a naturally colonized stream benthic community. Both experiments exposed
84
organisms to environmentally relevant concentration gradients of dissolved Cu and Zn. The
85
primary goals of this study were to test the following hypotheses: 1) adult insect emergence is
86
correlated with larval responses across a metal-exposure gradient; 2) responses to metals
87
differbetween larval and adult life stages; and 3) exposure to sublethal concentrations of metals
88
alters timing of emergence and sex ratios in adult aquatic insects.
89 90
Materials and Methods
91
Mesocosm Experiments
92
Two mesocosm experiments were conducted at the Stream Research Laboratory (SRL) located at
93
Colorado State University Foothills Campus, Fort Collins, Colorado, USA. One mesocosm
94
experiment used late-instar, developmentally mature Rhithrogena robusta (Heptageniidae:
95
Ephemeroptera) collected from Joe Wright Creek (~2,500 m ASL), Colorado, an undisturbed 4 ACS Paragon Plus Environment
Page 4 of 31
Page 5 of 31
Environmental Science & Technology
96
2nd-order stream in the Roosevelt National Forest. Individuals were collected from the underside
97
of cobble substrate using a flat-angled, fine-bristled paint brush to minimize organism handling
98
stress. We selected R. robusta that were developmentally mature based on wing-pad
99
development, as well as other morphological features that indicate maturation (e.g., size, color,
100
pigmentation). Individuals were placed in aerated insulated coolers filled with site water and
101
transported to the SRL. Four un-colonized rock trays were placed in each mesocosm to provide
102
habitat, and 32 or 34 individuals were assigned to each replicate mesocosms. To reduce potential
103
density dependent effects, we used relatively low densities of R. robusta compared to the
104
densities of benthic macroinvertebrates typically exposed in the mesocosms.
105
The second mesocosm experiment used naturally colonized stream benthic communities
106
collected from the Arkansas River (AR), Colorado, a high-elevation (~3000 m ASL) 4th-order
107
mountain stream. AR was historically contaminated by acid mine drainage (including Cu and
108
Zn), but remediation in the last 25 years has significantly improved water quality and metal
109
concentrations rarely exceed water quality criteria.25 Communities were collected from the AR
110
using a technique described by Clements et al.26. Trays (10 x 10 x 6 cm) filled with pebble and
111
small cobble were deployed for 35 d and colonized with a diverse benthic assemblage that is
112
similar in abundance and species richness observed on naturally occurring substrate.24 The trays
113
were colonized by a range of life stages of aquatic insects that included early to mid-instar taxa,
114
as well as mature taxa nearing completion of their life cycle as emerged adults. Five trays were
115
randomly collected from the colonization racks, placed in insulated coolers, transported to the
116
SRL, and assigned treatments.
117 118
Dilution water in the SRL is supplied from a deep mesotrophic reservoir. Water quality in the SRL is representative of cold water Rocky Mountain streams with cool temperatures (10-15 5 ACS Paragon Plus Environment
Environmental Science & Technology
119
ºC), low hardness (30-35 mg/L CaCO3), alkalinity (25-30 mg/L CaCO3), and dissolved organic
120
carbon (2.5-3.0 mg/L), circumneutral pH (7.0-7.8), and low conductivity (60-90 µS/cm).24,27
121
Current in the 18 mesocosms (20 L) was provided by submersible water pumps (EcoPlus®) at a
122
rate of 2233 L per h (i.e., 1.9 hydraulic circulations per min). Each mesocosm was covered with
123
insect netting (220 micron mesh size) to contain emerged adults. To ensure that most emerging
124
insects were removed, daily adult collection was conducted between 17:00 and 19:00 for both
125
experiments. The flow-through mesocosms (76 x 46 x 12 cm) received water at 1.0 L/min, and
126
metal salt solutions were pumped to mesocosms using peristaltic pumps at a rate of 10 mL/min.
127
To prevent emigration by drifting invertebrates, standpipes were covered with fine mesh.
128
Rhithrogena robusta were exposed to a concentration gradient of Cu and Zn at 1:10, with
129
3 replicate mesocosms (6 total treatments including controls) per treatment ranging from 10 to
130
100 µg/L Cu, and 100 to 1000 µg/L Zn. The AR community was exposed to a gradient of Cu and
131
Zn at approximately 1:15, with 3 replicate mesocosms per treatment ranging from 10 to 100
132
µg/L Cu, and 15 to 1500 µg/L Zn. These mass ratios were chosen to represent the Cu and Zn
133
mixtures observed in Colorado mountain streams affected by AMD.28 To confirm dissolved Cu
134
and Zn concentrations, water samples (15 mL) were taken from each mesocosm during the
135
exposure duration (3x for R. robusta; 4x for AR community). Water samples were filtered
136
through a 0.45-µm filter, acidified to a pH < 2.0 using analytical grade nitric acid, and analyzed
137
using flame or furnace atomic absorption spectrophotometry. Cumulative criterion units (CCU),
138
defined as the ratio of the measured dissolved metal concentrations to the United States
139
Environmental Protection Agency (U.S. EPA) hardness-adjusted criterion value and summed for
140
each metal, were used to quantify the metal mixture of Cu and Zn as one value. We chose to use
141
hardness-adjusted criteria because previous experiments have found that the water chemistry of 6 ACS Paragon Plus Environment
Page 6 of 31
Page 7 of 31
Environmental Science & Technology
142
the dilution water in the SRL is highly consistent. In addition, the U.S. EPA biotic ligand model
143
(BLM) and hardness-based criteria generate very similar values27. Because the BLM requires
144
additional chemical analyses (e.g., DOC) that were unavailable for these experiments, we chose
145
to use the hardness-based criteria to benchmark metal mixture concentrations.
146
Rhithrogena robusta were exposed for 10 d, and surviving larvae that did not emerge
147
were preserved at the end of the experiment. The AR community exposure was 14 d. At the end
148
of the experiment, colonization trays were rinsed through a 350-µm sieve, with organisms and
149
detrital material preserved in 80% ethanol. Benthic community samples were sorted in the
150
laboratory. All larvae were enumerated and identified to the lowest taxonomic resolution
151
possible, typically to genus, except for chironomids that were identified to subfamily or tribe.
152
Emerged adult insects were enumerated and identified to family or subfamily, and sexed. For
153
biomass estimates, larval and adult taxa were dried at 60 ºC for approximately 72 h and then
154
weighed to the nearest 0.00001 g. To test for differences in emerging-adult biomass over time,
155
daily samples were combined for days 1-4, 5-8, 9-13. Daily adult biomass estimates were not
156
possible due to very low biomass in the high-concentration treatments near the end of the
157
experiment. Larval biomass samples were sorted from the benthic community samples that were
158
exposed for 14 d.
159
Statistical Analyses
160
All statistical analyses were conducted using R statistical computing.29 We used a linear
161
model (“LM” function; package ‘car’) to test the responses of R. robusta larvae and emerging
162
adults to metals.30 A linear model was also fit to Rhithrogena spp. larvae abundance in the AR
163
community to compare to R. robusta larval abundance results. For the AR community
164
experiment, linear models were used to test concentration-response relationships between CCU 7 ACS Paragon Plus Environment
Environmental Science & Technology
165
and life stage abundances, biomass, and adult sex ratios of the three dominant taxa that were
166
present at sufficient densities (i.e., Baetidae, Chironomidae, and Simuliidae). To determine if the
167
concentration-response relationships of larvae and adults were statistically different, an
168
ANCOVA interaction model was used (“LM” function), with CCU as the continuous predictor
169
and life stage as the categorical predictor of either abundance or biomass. Statistical significance
170
of the interaction term indicates that the slopes of larvae and adults are different from one
171
another (i.e., the effect of CCU is dependent on life stage).
172
To test for differences in the timing of adult emergence abundance and biomass, CCU
173
treatments were categorized (6 treatments, 3 replicates each) to support single-factor repeated
174
measures ANOVA analyses. For emergence data, daily observations were successively
175
combined to estimate cumulative emergence, whereby daily emergence abundance was
176
additively summed over the duration of the experiment. We summed the daily results because we
177
wanted to test if the mean difference in the number of emerging individuals over the entire
178
exposure duration differed among treatments. Adult biomass data were analyzed in the three time
179
groups as previously described. A single-factor repeated measures ANOVA (function “lmer,”
180
package ‘lme4”) 31 was fit to the cumulative emergence data to test if the effects of metals on
181
cumulative emergence abundance and biomass varied over the exposure duration. We chose a
182
covariance structure of compound symmetry, which assumes constant correlation between
183
observations on the same sample replicate (i.e., cumulative observations are dependent on the
184
previous observation). Post hoc comparisons with “estimated marginal means of linear trends”
185
function from package ‘emmeans’ were used to compare treatment means of emergence
186
abundance and biomass to control values with Dunnett’s Test.32 We chose to not conduct date-
187
by-date treatment contrasts because we wanted to test for differences in average cumulative 8 ACS Paragon Plus Environment
Page 8 of 31
Page 9 of 31
Environmental Science & Technology
188
emergence abundance over the 14 d exposure. All data were log transformed to meet the
189
assumptions of parametric statistics and to improve fit for all statistical models (i.e., linear
190
models, ANCOVA, single-factor repeated measures ANOVA). Statistical significance for all
191
models was p < 0.10. The a priori selection of a slightly higher p-value was motivated by the
192
high within-treatment variation observed with naturally colonized communities, relatively low
193
number of replicates (n = 3), and the goal of reducing the risk of Type II errors (i.e., incorrectly
194
determine that there was no effect of metals). Standardized effect sizes were estimated by partial
195
eta-squared values with 90% confidence intervals for all linear and ANCOVA models.33
196
Results
197
Measured concentrations of Cu and Zn were variable (Table S1), but generally approximated
198
target values (Table 1). Measured treatment concentrations of Cu and Zn for the R. robusta
199
experiment ranged from 14-119 µg/L Cu and 48-1068 µg/L Zn (Table 1). In the AR community
200
experiment, concentrations ranged from 10-86 µg/L Cu and 86-1566 µg/L Zn. Water hardness
201
and alkalinity were approximately 30 mg/L CaCO3 (s.d. = 0.52) and 29 mg/L CaCO3 (s.d. =
202
0.89), respectively. The U.S. EPA acute hardness-adjusted criterion values for Cu was 4.3 µg/L
203
and for Zn 42.2 µg/L.34-35 CCU calculations among all mesocosm observations for the R. robusta
204
experiment ranged from 3.6-52.7 CCU, and for the AR community ranged from 3.4-54.5 CCU
205
(Table 1). Temperature, pH, and conductivity were consistent among treatments and between
206
experiments (Table S1).
207 208 209 9 ACS Paragon Plus Environment
Environmental Science & Technology
210
Table 1. Target exposure concentrations and average measured concentrations (µg/L) (+/- s.d.)
211
of Cu and Zn in the Rhithrogena robusta and the Arkansas River (AR) community exposures.
Low Mid-Low Mid Mid-High High
Rhithrogena robusta Target Measured Target Measured Cu Cu Zn Zn 12.29 49.45 6.3 (2.26) 62.5 (1.52) 18.59 102.58 12.5 (1.78) 125 (14.56) 35.95 178.07 25 (4.71) 250 (14.11) 52.93 378.13 50 500 (3.20) (20.65) 109.85 997.37 100 (13.61) 1000 (112.77)
CCU 4.0 6.7 12.6 21.2 49.1
Page 10 of 31
AR Community Measured Target Measured Target Cu Cu Zn Zn 7.31 95.56 6.3 (2.14) 93.8 (8.69) 13.07 167.03 12.5 (2.10) 187.5 (24.12) 23.74 305.67 25 (2.46) 375 (9.11) 37.33 653.42 50 750 (78.32) (8.42) 78.33 1481.64 100 (6.48) 1500 (73.76)
CCU = the sum of the measured concentration for each metal divided by the U.S. EPA hardnessadjusted criterion values for Cu (4.3 μg/L) and Zn (42.3 μg/L). 212 213
Emergence (Fig. 1) and larval survival (Fig. S1) of R. robusta did not significantly (p-
214
value < 0.10) decrease in any treatment (Table S2) For two suspected outliers with relatively
215
low adult emergence and high larval mortality compared to other treatments, we ran the linear
216
models with and without these points and identified no significant relationships; therefore, we
217
did not remove these data from the analysis. The total number of individuals emerging was
218
greater than 80% for most treatments, and approximately 75% of individuals that did not emerge
219
over the 10 d exposure were alive at the end of the experiment. In contrast, Rhithrogena spp.
220
from the AR community experiment were not developmentally mature to the point of emergence,
221
but Rhithrogena spp. larvae were significantly reduced (Fig. S1).
222 223 10 ACS Paragon Plus Environment
CCU 4.0 7.0 12.7 24.2 53.2
Page 11 of 31
Environmental Science & Technology
Rhithrogena robusta Timing of Emergence
Total Emergence Cummulative Average Difference in Emergence Compared to Controls
120
Percent Emergence
100 80 60 40 20
F-stat: 0.01 p-value: 0.9378
0 0
224
10
20
30
40
5
0
-5 Control Low (4 CCU) Mid-Low (7 CCU) Mid (13 CCU) Mid-High (21 CCU) High (49 CCU)
-10
-15
F-stat: 3.33 p-value: 0.0067
2
50
4
6
8
Days
CCU
225
Figure 1. Results from the single-species toxicity test conducted with the mayfly Rhithrogena
226
robusta (Ephemeroptera: Heptageniidae). The left panel shows the percentage of total emerging
227
adults after 10 d exposure to Cu and Zn. The right panel shows the cumulative average daily
228
difference in emergence compared to the controls over the exposure duration. CCU is the ratio of
229
measured dissolved metal concentrations to the U.S. EPA hardness-adjusted criterion value and
230
summed for each metal. Asterisks (*) indicate significant differences from controls.
231 232
Although metal exposure had no effect on total emergence of R. robusta, the timing of
233
emergence over the 10 d experiment varied among metal treatments (Fig. 1; Table S3). Average
234
cumulative emergence greater than controls was interpreted as emergence stimulation, while
235
average cumulative emergence less than controls was considered a delay if a significant decrease
236
in treatment abundance was not detected among treatments. Cumulative emergence observed
237
below control values but with significant decreases in overall abundance is the result of larval
238
mortality preventing adult emergence. Because we observed no treatment effect on total 11 ACS Paragon Plus Environment
* *
10
Environmental Science & Technology
Page 12 of 31
239
emergence of R. robusta, timing of emergence was delayed among metal treatments. Statistically
240
significant post hoc relationships (compared to controls) were observed for the 4- and 13-CCU
241
treatments. The AR benthic community was highly diverse, with control mesocosms averaging
242 243
(±s.e.) 28.3 (±0.8) taxa and 864 (±135) individuals. Number of taxa and abundance of emerging
244
adults in controls averaged 7.3 (±0.3) and 328 (±29), respectively. Three dominant taxa groups
245
(Baetidae, Chironomidae and Simuliidae) were present at sufficiently high larval and adult
246
densities in controls for statistically valid comparisons. Abundance of Baetidae larvae and
247
emerging adults were negatively (p < 0.0001) correlated with exposure concentration (Fig. 2;
248
Table S2). Although abundance of larval Chironomidae was also negatively correlated with
249
metal exposure (p < 0.0001), the number of emerging adults was not. For both Baetidae and
250
Chironomidae, the ANCOVA interaction term was highly significant (p-value < 0.0001),
251
indicating that the response to metals was dependent on life stage (Table S4). For both groups,
252
effects of metals were greater on larval survival than emergence. In contrast to baetids and
253
chironomids, there were no effects of metals on larval survival or emergence of Simuliidae.
254 Chironomidae
Baetidae
Abundance
100
Simuliidae 1000
1000 Larvae: p= < 0.0001 Adult: p= < 0.0001 CCU*Life Stage: p= < 0.0001
1000
Larvae: p= 0.9998 Adult: p= 0.3670 CCU*Life Stage: p= 0.5979
Larvae: p= < 0.0001 Adult: p= 0.1101 CCU*Life Stage: p= < 0.0001
100 100
10
10 1
Larvae Adult 1
10
0.1 0
10
20
30
40
50
0
10
CCU
20
30 CCU
255 12 ACS Paragon Plus Environment
40
50
0
10
20
30 CCU
40
50
Page 13 of 31
Environmental Science & Technology
256 257
Figure 2. Effects of Cu and Zn on total larval (solid circles) and emerging adult (open circles)
258
abundances of Baetidae (Ephemeroptera), Chironomidae (Diptera), and Simuliidae (Diptera) in
259
the 14 d community exposure. Linear regression for larvae (solid line) and adults (dashed line)
260
was used to determine significant concentration-response relationships for each life stage.
261
ANCOVA model was used to test the hypothesis that the slopes for larvae and adults differed, as
262
indicated by the p-value for the interaction term (CCU*Life Stage).
263 264
In addition to measuring effects of metals on abundance of larval and adult aquatic
265
insects, we assessed effects on biomass, which is a more direct measure of subsidy export to
266
riparian ecosystems. Effects of metals on the biomass of mayflies, chironomids and blackflies
267
were generally similar to those observed for abundance (Fig. 3; Table S2). Across all metal
268
treatments, biomass of adult mayflies, chironomids and simuliids was greater than larval
269
biomass. Ephemeroptera, Chironomidae, and community biomass all displayed significant
270
ANCOVA interaction terms, with greater effects of metals on larval biomass compared to
271
biomass of emerging adults (Table S4). The timing of adult biomass varied among treatments
272
and taxonomic groups (Fig. S2; Table S3). Biomass of adult baetid mayflies was significantly
273
reduced at the 2 highest treatments compared to control observations. In contrast, biomass of
274
adult chironomids increased over time, with no differences among treatments over the three time
275
periods. Maximum biomass of Simuliidae was generally achieved by day 8 for all treatments, but
276
pairwise comparisons showed no treatment differences compared to controls. Biomass of the AR
277
community was significantly different overall, with the 24-CCU treatment significantly different
278
from controls. 13 ACS Paragon Plus Environment
Environmental Science & Technology
Page 14 of 31
279
Chironomidae
Ephemeroptera
100
100
10
Biomass (Dry Weight (mg))
10 1
0.1
Larvae Adult
Larvae: p= < 0.0001 Adult: p= < 0.0001 CCU*Life Stage: p= 0.0577
0
10
20
1 30
40
Larvae: p= < 0.0001 Adult: p= 0.9220 CCU*Life Stage: p= 0.0016
0
50
Simuliidae
10
20
30
40
50
Community Biomass
100
1000
10 100 1
0.1
Larvae: p= 0.1012 Adult: p= 0.6747 CCU*Life Stage: p= 0.8740
0
280
10
20
30
40
50
10
Larvae: p= 0.0018 Adult: p= 0.0145 CCU*Life Stage: p= 0.0114
0
CCU
10
20
30
40
50
CCU
281
Figure 3. Effects of Cu and Zn on total larval (solid circles) and emerging adult (open circles)
282
biomass (dry weight (mg)) of Ephemeroptera, Chironomidae, Simuliidae, and total community
283
biomass in the 14 d community exposure. Linear regression for larvae (solid line) and adults
284
(dashed line) was used to determine significant concentration-response relationships for each life
285
stage. ANCOVA model was used to test the hypothesis that the slopes for larvae and adults
286
differed, as indicated by the p-value for the interaction term (CCU*Life Stage). Note that the
287
log-normalized y-axis may affect the visual interpretation of the life stage interaction. 14 ACS Paragon Plus Environment
Page 15 of 31
Environmental Science & Technology
Cumulative emergence of the 3 dominant groups was altered during the 14 d exposure
288 289
(Fig. 4; Table S3). Relative to controls, abundance of emerging baetids was significantly
290
stimulated at 7-CCU, but decreased in the highest treatments. Abundance of emerging
291
chironomids was stimulated in all treatments from days 6-9, and the lowest metal treatments
292
were statistically different from the controls. Although the timing of chironomid emergence was
293
clearly altered in the 2 highest treatments, because we tested for differences relative to controls
294
over the entire exposure period, these treatments were not statistically different from controls. In
295
contrast to the other groups, we saw no evidence of emergence stimulation by metals for
296
Simuliidae. Emergence of simuliids was consistently less than controls, with emergence in the 7-
297
to 24-CCU treatments significantly decreased. Lastly, the relationship between sex ratio
298
(expressed as female to male adults) and metal concentration was highly significant for Baetidae,
299
with greater abundance of female adults relative to males as metal concentrations increased (Fig.
300
5). Exposure to metals did not alter the sex ratios of Chironomidae and Simuliidae (Fig. S3).
301
Cummulative Average Difference in Emergence Compared to Controls
302
20
20
F-stat: 81.78 p-value: < 0.0001
*
0
* -20
2
4
6
20
F-stat: 5.36 p-value: 0.0001
* *
10
*
*-20
Treatment Day
10
12
0
-40
*-10
8
F-stat: 21.61 p-value: < 0.0001
*-20
0
Control Low (4 CCU) Mid-Low (7 CCU) Mid (13 CCU) Mid-High (24 CCU) High (54 CCU)
-40
Simuliidae
Chironomidae
Baetidae
* *
-60 2
4
6
8
10
12
Treatment Day
2
4
6
8
10
12
Treatment Day
303
Figure 4. Effects of Cu and Zn on the cumulative average daily difference in emergence
304
abundance compared to the controls over the 14 d exposure of Baetidae (Ephemeroptera),
305
Chironomidae (Diptera), and Simuliidae (Diptera) in the community exposure. Single-factor 15 ACS Paragon Plus Environment
Environmental Science & Technology
Page 16 of 31
306
repeated measures ANOVA was used to test for significant differences in cumulative emergence
307
among treatments over the entire exposure duration. Post-hoc comparisons with Dunnett’s test
308
were used to test for significant relationships between treatment and control responses. Asterisks
309
(*) indicate significant differences from controls.
310
Baetidae
6
Female:Male Adult
5 4 3 2 F-stat: 51.97 p-value: < 0.0001
1 0 0 311
10
20
30
40
50
60
CCU
312
Figure 5. Effects of Cu and Zn on emerging adult sex ratios (female:male) of Baetidae in the
313
stream benthic community experiment. Linear regression was used to determine significant
314
concentration-response relationships for each life stage.
315 316 317 318 16 ACS Paragon Plus Environment
Page 17 of 31
Environmental Science & Technology
319
Discussion
320
Exposure of aquatic insect communities to metals significantly decreased abundance and
321
biomass of larval and adult aquatic insects. However, effects of metals differed among dominant
322
taxa and life stages. Chironomidae adult abundances were unaffected by the metal treatments,
323
but larval densities were strongly reduced. Differences in metal sensitivity among body sizes and
324
life stages of aquatic insects have been observed with field, 12 mesocosm, 36-37 and laboratory
325
approaches.13-14 One explanation regarding these observed differences in sensitivity is aquatic
326
insect phenology, which influences seasonal rates of development and the life stages that are
327
represented during contaminant exposure. For example, previous field and mesocosm
328
experiments showed that large, developmentally mature individuals of the mayfly Rhithrogena
329
hageni collected in spring were more tolerant to metal exposure compared to summer
330
populations that were dominated by smaller individuals.37 Populations of chironomids in our
331
control mesocosms were dominated by early to mid-instars (Fig. S4), but these individuals were
332
highly reduced from the high metal treatments. In contrast, developmentally mature larvae were
333
highly tolerant and able to complete their life cycle as emerged adults. Similarly,
334
developmentally mature R. robusta from the single-species experiment were tolerant to metals
335
and showed high emergence success, but the abundance of mid-instar Rhithrogena spp. in the
336
community experiment significantly decreased as metal concentration increased (Fig. S1). These
337
differences in sensitivity among life stages may help to explain the discrepancies often reported
338
between laboratory and field responses of aquatic insects to metals.38-39, 27 Laboratory
339
experiments conducted with aquatic insects routinely employ larger, developmentally mature
340
individuals.
17 ACS Paragon Plus Environment
Environmental Science & Technology
341
Baetidae larvae and adults were both decreased by metal exposure, but greater metal
342
effects were observed in larvae. The sensitivity of Baetidae to metals has been documented in
343
laboratory and mesocosm experiments.13, 40-42 The reduction in abundance of emerging adults
344
was likely due to larval mortality that prevented emergence altogether; however, other authors
345
have reported reduced emergence success during metamorphosis when larvae are exposed to
346
sublethal contaminant concentrations.13, 16, 43 Wesner et al.13 reported decreased emergence
347
success of the mayfly N. triangulifer when larvae were exposed to low concentrations of Zn.
348
Because metamorphosis is an energetically demanding process, sublethal exposure to metals may
349
reduce energy available for emergence, resulting in mortality during this life stage transition. We
350
hypothesize that decreased emergence of baetids in our experiment may have been in part due to
351
mortality occurring during metamorphosis. Given that aquatic insects are the dominant
352
organisms in many freshwater ecosystems, and that metamorphosis is required for most aquatic
353
insects to complete their life cycles, more research is needed to understand effects of sublethal
354
exposure to this sensitive life stage.
355
Physiological traits such as rates of uptake, elimination, and detoxification can influence
356
variation in metal bioaccumulation among aquatic insect taxa.44 Diptera may have greater ability
357
to withstand metal exposures compared to mayflies, in part, because of their higher production of
358
metallothionein-like proteins, greater efflux rates, and production of metal granules.39, 45-46
359
Phylogenetic differences in physiology may explain the greater tolerance of adult chironomids
360
compared to baetids, but it does not account for the greater relative sensitivity of larvae of both
361
groups. One hypothesis for this discrepancy may be body size. Buchwalter et al.44 controlled for
362
body size when assessing the influence of phylogeny on sensitivity of aquatic insects to metals.
363
In contrast, our community experiment incorporated a relatively broad size range of baetids and 18 ACS Paragon Plus Environment
Page 18 of 31
Page 19 of 31
Environmental Science & Technology
364
chironomids, enabling us to make comparisons across developmental sizes. The observed
365
difference in sensitivity among life stages demonstrates the importance of accounting for insect
366
development and strongly suggests that phylogeny and phenology influence metal sensitivity.
367
Rhithrogena robusta in the single-species toxicity test were highly tolerant to metal
368
exposure, with no effects on total emergence or larval survival. In contrast, larvae and adult
369
emergence of the dominant mayfly (Baetidae) in the community experiments were both
370
significantly decreased. One hypothesis to explain this difference in sensitivity is the duration of
371
life-cycle exposure between taxa. R. robusta were exposed for a shorter portion of their total
372
larval life cycle compared to Baetidae because R. robusta is univoltine (i.e., one generation per
373
year) and Baetidae from our community were multivoltine (i.e., multiple generations per year).
374
Therefore, more-sensitive, less-developed instars of Baetidae were exposed, whereas R. robusta
375
were mainly exposed as fully developed late instars. Additionally, R. robusta develop to a much
376
larger overall body size compared to Baetidae, potentially increasing its relative tolerance to
377
metals.36 Metal exposure in the field is spatiotemporally variable40, 47-48 and because aquatic
378
insects exhibit complex life histories,49 our ability to characterize full-life cycle sensitivity with
379
mesocosms is limited by the exposure duration and the phenology of the community. Moreover,
380
our mesocosms are closed systems that do not allow for natural colonization. Open testing
381
systems that allow for population immigration and emigration over longer testing durations (e.g.,
382
exposure of multiple generations across multiple seasons) may better predict exposure outcomes
383
in the field.50
384
Effects of metals on larval and adult biomass were generally similar to those observed for
385
abundance. Biomass of adult Chironomidae and Simuliidae was much greater than larvae, and
386
more than 25% of the total community biomass in control mesocosms was comprised of adults. 19 ACS Paragon Plus Environment
Environmental Science & Technology
387
The magnitude of emerging adult biomass was unexpected, and represents a significant export of
388
materials and energy to linked aquatic-terrestrial ecosystems. Individual emerging adults have
389
much greater biomass compared to less developed early instars, and they contribute much greater
390
biomass to consumers. Larval mortality in metal contaminated streams reduces secondary
391
production, and it is likely that our mesocosm results underestimate the effects of metals to
392
aquatic biomass in the field.51 Toxicity assessments and field surveys that incorporate emerging
393
adult biomass will more accurately characterize the relationship between contaminant exposure
394
and aquatic subsidy dynamics.
395
Alterations to the timing of adult insect emergence can reflect larval stress due to direct
396
(i.e., aqueous or dietary exposure) and (or) indirect toxicity (i.e., decreased food resources).
397
Aquatic insects may accelerate or delay their rate of development to emergence to decrease their
398
exposure to contaminants or other environmental stressors.52-60 We observed increased rates of
399
emergence in Chironomidae for all treatments from days 6 through 9, and significantly greater
400
cumulative emergence for metal treatments ranging from 4-13 CCU. The pronounced and
401
immediate stimulation of emergence observed in our study suggests that chironomids can
402
increase their rate of development and transition to their adult life stage. Increased rates of
403
development may decrease aquatic exposure duration and increase the probability of successfully
404
emerging and reproducing.61 However, irregular timing of emergence may result in adults
405
encountering unsuitable terrestrial conditions,62 shift the timing of aquatic-terrestrial subsidies
406
that terrestrial consumers are temporally cued to encounter,63-65 and affect adult reproduction.66
407
Sex ratios were significantly altered in Baetidae, with relatively greater abundance of
408
females emerging as metal concentration increased. Female baetids are generally larger than
409
males,67 which may result in relatively greater tolerance to exposure.36 Differences in gonadal 20 ACS Paragon Plus Environment
Page 20 of 31
Page 21 of 31
Environmental Science & Technology
410
tissues between sexes may also influence rates of metal accumulation, resulting in discrepancies
411
in toxicity.15,20 Wesner et al.22 observed different rates of metal loss between adult male and
412
female mayfly imagos (i.e., sexually mature adults) through metamorphosis, with males retaining
413
greater body burdens of metals. The synchrony of emergence between sexes is necessary for
414
successful reproduction to occur. Adults of some taxa such as Baetidae are short-lived (24-48
415
h),49 and can experience high mortality due to predation.3, 68 Thus, the mismatches in sex ratios
416
observed in our study, coupled with the alterations in timing of emergence, may result in reduced
417
fecundity and population persistence in aquatic ecosystems exposed to sublethal concentrations
418
of metals.
419
Aquatic insects have complex life histories, yet with few exceptions, most invertebrate
420
test species used in aquatic toxicity testing are short-lived and do not metamorphose. Alternative
421
species that can be cultured in the laboratory such as the parthenogenetic mayfly N. triangulifer
422
more accurately reflect the phenology of naturally occurring aquatic insects and should be used
423
more frequently in single-species toxicity testing. Community mesocosm studies are valuable
424
because they evaluate the responses of multiple aquatic insect taxa across a range of instar sizes
425
and life stages under natural conditions, improving the ability to characterize full-life cycle
426
effects. Aquatic insect emergence is a particularly relevant endpoint because it characterizes
427
effects on a sensitive life stage and links aquatic-derived effects to terrestrial ecosystems. Failure
428
to quantify emergence can mischaracterize contaminant effects on aquatic insect population
429
dynamics and aquatic subsidies to terrestrial ecosystems. Regulatory frameworks would benefit
430
by including test results that account for effects of contaminants on metamorphosis and adult
431
insect emergence for the development of aquatic life standards.
432 21 ACS Paragon Plus Environment
Environmental Science & Technology
433
Supporting Information
434
Table of water quality characteristics in stream mesocosms (Table S1), summary of statistical
435
results of linear models (Table S2), single-factor repeated measures ANOVA models (Table
436
S3), and ANCOVA models (Table S4), and metal responses of R. robusta and Rhithrogena spp.
437
(Figure S1), and cumulative average adult insect emergence biomass (Figure S2), and sex ratios
438
of Chironomidae and Simuliidae (Figure S3), and head capsule size distribution of
439
Chironomidae in control treatments (Figure S4).
440 441
Acknowledgements
442
Funding for this research was provided by the National Institute of Environmental Health
443
Sciences (1R01ES020917-01). We thank Pete Cadmus, Lindsay Bailey, Sam Duggan, Brian
444
Wolff, Dave Rees, Cory Kotalik, Alexandra Mackewich, and numerous work-study students for
445
logistical help and support with this project. Comments by Joseph Meyer, Boris Kondratieff, and
446
three anonymous reviewers on earlier drafts of this manuscript are greatly appreciated.
447 448
References
449
1. Merritt, R. W.; Cummins, K. W.; Berg M.B., An introduction to the aquatic insects of North
450
America. Kendall Hunt: 2004.
451
2. Sabo, J.; Power, M., River–watershed exchange: effects of riverine subsidies on riparian
452
lizards and their terrestrial prey. Ecology 2002, 83, (7), 1860-1869.
22 ACS Paragon Plus Environment
Page 22 of 31
Page 23 of 31
453
Environmental Science & Technology
3. Baxter, C. V.; Fausch, K. D.; Carl Saunders, W., Tangled webs: reciprocal flows of
454
invertebrate prey link streams and riparian zones. Freshwater Biology 2005, 50, (2),
455
201-220.
456
4. Nakano, S.; Murakami, M., Reciprocal subsidies: dynamic interdependence between terrestrial
457
and aquatic food webs. Proceedings of the National Academy of Sciences 2001, 98,
458
(1), 166-170.
459 460 461
5. Gratton, C.; Vander Zanden, M. J., Flux of aquatic insect productivity to land: comparison of lentic and lotic ecosystems. Ecology 2009, 90, (10), 2689-2699. 6. Echols, K. R.; Tillitt, D. E.; Nichols, J. W.; Secord, A. L.; McCarty, J. P., Accumulation of
462
PCB congeners in nestling tree swallows (Tachycineta bicolor) on the Hudson River,
463
New York. Environmental Science & Technology 2004, 38, (23), 6240-6246.
464
7. Walters, D. M.; Fritz, K. M.; Otter, R. R., The dark side of subsidies: adult stream insects
465
export organic contaminants to riparian predators. Ecological Applications 2008, 18,
466
(8), 1835-1841
467
8. Paetzold, A.; Smith, M.; Warren, P. H.; Maltby, L., Environmental impact propagated by
468
cross‐system subsidy: Chronic stream pollution controls riparian spider populations.
469
Ecology 2011, 92, (9), 1711-1716.
470
9. Kraus, J. M.; Schmidt, T. S.; Walters, D. M.; Wanty, R. B.; Zuellig, R. E.; Wolf, R. E.,
471
Cross‐ecosystem impacts of stream pollution reduce resource and contaminant flux to
472
riparian food webs. Ecological Applications 2014a, 24, (2), 235-243.
473
10. Campero, M.; De Block, M.; Ollevier, F.; Stoks, R., Metamorphosis offsets the link between
474
larval stress, adult asymmetry and individual quality. Functional Ecology 2008, 22,
475
(2), 271-277.
23 ACS Paragon Plus Environment
Environmental Science & Technology
476
11. Pascoe, D.; Williams, K. A.; Green, D. W., Chronic toxicity of cadmium to Chironomus
477
riparius Meigen-effects upon larval development and adult emergence.
478
Hydrobiologia 1989, 175, (2), 109-115.
479
12. Schmidt, T. S.; Kraus, J. M.; Walters, D. M.; Wanty, R. B., Emergence flux declines
480
disproportionately to larval density along a stream metals gradient. Environmental
481
Science & Technology 2013, 47, (15), 8784-8792.
482
13. Wesner, J. S.; Kraus, J. M.; Schmidt, T. S.; Walters, D. M.; Clements, W. H., Metamorphosis
483
enhances the effects of metal exposure on the mayfly, Centroptilum triangulifer.
484
Environmental Science & Technology 2014, 48, (17), 10415-10422.
485
14. Soucek, D. J.; Dickinson, A., Full‐life chronic toxicity of sodium salts to the mayfly
486
Neocloeon triangulifer in tests with laboratory cultured food. Environmental
487
Toxicology and Chemistry 2015, 34, (9), 2126-2137.
488 489 490
15. Hare, L., Aquatic insects and trace metals: bioavailability, bioaccumulation, and toxicity. Critical Reviews in Toxicology 1992, 22, (5-6), 327-369. 16. Liber, K.; Schmude, K. L.; Corry, T. D., Effects of the insect growth regulator diflubenzuron
491
on insect emergence within littoral enclosures. Environmental Entomology 1996, 25,
492
(1), 17-24.
493
17. Sibley, P. K.; Benoit, D. A.; Ankley, G. T., The significance of growth in Chironomus
494
tentans sediment toxicity tests: relationship to reproduction and demographic
495
endpoints. Environmental Toxicology and Chemistry 1997, 16, (2), 336-345.
496 497
18. Rainbow, P. S., Trace metal bioaccumulation: models, metabolic availability and toxicity. Environment International 2007, 33, (4), 576-582.
24 ACS Paragon Plus Environment
Page 24 of 31
Page 25 of 31
498 499 500
Environmental Science & Technology
19. Timmermans, K. R.; Walker, P. A., The fate of trace metals during the metamorphosis of chironomids (Diptera, Chironomidae). Environmental Pollution 1989, 62, (1), 73-85. 20. Kim, K.; Funk, D.; Buchwalter, D., Dietary (periphyton) and aqueous Zn bioaccumulation
501
dynamics in the mayfly Centroptilum triangulifer. Ecotoxicology 2012, 21, (8), 2288-
502
2296.
503
21. Kraus, J. M.; Walters, D. M.; Wesner, J. S.; Stricker, C. A.; Schmidt, T. S.; Zuellig, R. E.,
504
Metamorphosis alters contaminants and chemical tracers in insects: implications for
505
food webs. Environmental Science & Technology 2014b, 48, (18), 10957-10965.
506
22. Wesner, J. S.; Walters, D. M.; Schmidt, T. S.; Kraus, J. M.; Stricker, C. A.; Clements, W. H.;
507
Wolf, R. E., Metamorphosis affects metal concentrations and isotopic signatures in a
508
mayfly (Baetis tricaudatus): Implications for the aquatic-terrestrial transfer of metals.
509
Environmental Science & Technology 2017, 51, (4), 2438-2446.
510
23. Buchwalter, D. B.; Clements, W. H.; Luoma, S. N., Modernizing water quality criteria in the
511
United States: A need to expand the definition of acceptable data. Environmental
512
Toxicology and Chemistry 2017, 36, (2), 285-291.
513
24. Clements, W. H., Small-scale experiments support causal relationships between metal
514
contamination and macroinvertebrate community responses. Ecological Applications
515
2004, 14, (3), 954-967.
516
25. Clements, W. H.; Vieira, N. K.; Church, S. E., Quantifying restoration success and recovery
517
in a metal‐polluted stream: a 17‐year assessment of physicochemical and biological
518
responses. Journal of Applied Ecology 2010, 47, (4), 899-910.
25 ACS Paragon Plus Environment
Environmental Science & Technology
519
26. Clements, W. H.; Van Hassel, J. H.; Cherry, D. S.; Cairns, J., Colonization, variability, and
520
the use of substratum-filled trays for biomonitoring benthic communities.
521
Hydrobiologia 1989, 173, (1), 45-53.
522
27. Clements, W. H.; Cadmus, P.; Brinkman, S. F., Responses of aquatic insects to Cu and Zn in
523
stream microcosms: understanding differences between single species tests and field
524
responses. Environmental Science & Technology 2013, 47, (13), 7506-7513.
525
28. Schmidt, T. S.; Clements, W. H.; Mitchell, K. A.; Church, S. E.; Wanty, R. B.; Fey, D. L.;
526
Verplanck, P. L.; San Juan, C. A., Development of a new toxic‐unit model for the
527
bioassessment of metals in streams. Environmental Toxicology and Chemistry 2010,
528
29, (11), 2432-2442.
529
29. Team, R. C., R: A language and environment for statistical computing. 2013.
530
30. Fox, J.; Weisberg, S.; Adler, D.; Bates, D.; Baud-Bovy, G.; Ellison, S.; Firth, D.; Friendly,
531
M.; Gorjanc, G.; Graves, S., Package ‘car’. Vienna: R Foundation for Statistical
532
Computing 2012.
533 534 535 536 537 538 539 540
31. Bates, D.; Mächler, M.; Bolker, B.; Walker, S., Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823 2014. 32. Lenth, R., Emmeans: Estimated marginal means, aka least-squares means. R Package Version 2018, 1, (2). 33. Cohen, J., Eta-squared and partial eta-squared in fixed factor ANOVA designs. Educational and Psychological Measurement 1973, 33, (1), 107-112. 34. U.S. EPA. Ambient aquatic life criteria for copper, EPA 440‐5‐84‐031: U.S. Environmental Protection Agency, Office of Water Regulations and Standards: 1985
26 ACS Paragon Plus Environment
Page 26 of 31
Page 27 of 31
541 542 543
Environmental Science & Technology
35. U.S. EPA. National Recommended Water Quality Criteria, EPA- 822-R-02-047; U.S. Environmental Protection Agency, Office of Water: Washington, DC, 2002. 36. Kiffney, P. M.; Clements, W. H., Size‐dependent response of macroinvertebrates to metals in
544
experimental streams. Environmental Toxicology and Chemistry 1996, 15, (8), 1352-
545
1356.
546
37. Clark, J. L.; Clements, W. H., The use of in situ and stream microcosm experiments to assess
547
population‐and community‐level responses to metals. Environmental Toxicology and
548
Chemistry 2006, 25, (9), 2306-2312.
549
38. Buchwalter, D. B.; Cain, D. J.; Clements, W. H.; Luoma, S. N., Using biodynamic models to
550
reconcile differences between laboratory toxicity tests and field biomonitoring with
551
aquatic insects. Environmental Science & Technology 2007, 41, (13), 4821-4828.
552
39. Brix, K. V.; DeForest, D. K.; Adams, W. J., The sensitivity of aquatic insects to divalent
553
metals: A comparative analysis of laboratory and field data. Science of the Total
554
Environment 2011, 409, (20), 4187-4197.
555
40. Clements, W. H., Benthic invertebrate community responses to heavy metals in the Upper
556
Arkansas River Basin, Colorado. Journal of the North American Benthological
557
Society 1994, 13, (1), 30-44.
558
41. Fialkowski, W.; Klonowska-Olejnik, M.; Smith, B. D.; Rainbow, P. S., Mayfly larvae (Baetis
559
rhodani and B. vernus) as biomonitors of trace metal pollution in streams of a
560
catchment draining a zinc and lead mining area of Upper Silesia, Poland.
561
Environmental Pollution 2003, 121, (2), 253-267.
27 ACS Paragon Plus Environment
Environmental Science & Technology
562
42. Mebane, C. A.; Schmidt, T. S.; Balistrieri, L. S., Larval aquatic insect responses to cadmium
563
and zinc in experimental streams. Environmental Toxicology and Chemistry 2017, 36,
564
(3), 749-762.
565
43. Brock, T.; Roessink, I.; Belgers, J. D. M.; Bransen, F.; Maund, S. J., Impact of a benzoyl
566
urea insecticide on aquatic macroinvertebrates in ditch mesocosms with and without
567
non‐sprayed sections. Environmental Toxicology and Chemistry 2009, 28, (10), 2191-
568
2205.
569
44. Buchwalter, D. B.; Cain, D. J.; Martin, C. A.; Xie, L.; Luoma, S. N.; Garland, T., Aquatic
570
insect ecophysiological traits reveal phylogenetically based differences in dissolved
571
cadmium susceptibility. Proceedings of the National Academy of Sciences 2008, 105,
572
(24), 8321-8326.
573
45. Postma, J. F.; Davids, C., Tolerance induction and life cycle changes in cadmium-exposed
574
Chironomus riparius (Diptera) during consecutive generations. Ecotoxicology &
575
Environmental Safety 1995, 30, (2), 195-202.
576
46. Buchwalter, D. B.; Luoma, S. N., Differences in dissolved cadmium and zinc uptake among
577
stream insects: mechanistic explanations. Environmental Science & Technology 2005,
578
39, (2), 498-504.
579
47. Mebane, C. A.; Eakins, R. J.; Fraser, B. G.; Adams, W. J., Recovery of a mining-damaged
580
stream ecosystem. Elemental Science of the Anthropocene 2015, 3: 000042
581
48. Herbst, D. B.; Medhurst, R. B.; Black, N. J., Long‐term effects and recovery of streams from
582
acid mine drainage and evaluation of toxic metal threshold ranges for
583
macroinvertebrate community reassembly. Environmental Toxicology and Chemistry
584
2018, 37, (10), 2575-2592.
28 ACS Paragon Plus Environment
Page 28 of 31
Page 29 of 31
585 586 587
Environmental Science & Technology
49. Brittain, J. E., Life history strategies in Ephemeroptera and Plecoptera. In Mayflies and stoneflies: Life histories and biology, Springer, 1990; pp 1-12. 50. Magbanua, F. S.; Townsend, C. R.; Hageman, K. J.; Piggott, J. J.; Matthaei, C. D., Individual
588
and combined effects of fine sediment and glyphosate herbicide on invertebrate drift
589
and insect emergence: a stream mesocosm experiment. Freshwater Science 2016, 35,
590
(1), 139-151.
591
51. Iwasaki, Y.; Schmidt, T. S.; Clements, W. H., Quantifying differences in responses of aquatic
592
insects to trace metal exposure in field studies and short-term stream mesocosm
593
experiments. Environmental Science & Technology 2018, 52, (7), 4378-4384.
594
52. Nordlie, K. J.; Arthur, J. W., Effect of elevated water temperature on insect emergence in
595
outdoor experimental channels. Environmental Pollution Series A, Ecological and
596
Biological 1981, 25, (1), 53-65.
597
53. Connolly, N.; Crossland, M.; Pearson, R., Effect of low dissolved oxygen on survival,
598
emergence, and drift of tropical stream macroinvertebrates. Journal of the North
599
American Benthological Society 2004, 23, (2), 251-270.
600
54. Pettigrove, V.; Hoffmann, A., Effects of long‐chain hydrocarbon‐polluted sediment on
601
freshwater macroinvertebrates. Environmental Toxicology and Chemistry 2005, 24,
602
(10), 2500-2508.
603
55. Greig, H. S.; Kratina, P.; Thompson, P. L.; Palen, W. J.; Richardson, J. S.; Shurin, J. B.,
604
Warming, eutrophication, and predator loss amplify subsidies between aquatic and
605
terrestrial ecosystems. Global Change Biology 2012, 18, (2), 504-514.
29 ACS Paragon Plus Environment
Environmental Science & Technology
606
56. Piggott, J. J.; Salis, R. K.; Lear, G.; Townsend, C. R.; Matthaei, C. D., Climate warming and
607
agricultural stressors interact to determine stream periphyton community
608
composition. Global Change Biology 2015, 21, (1), 206-222.
609
57. Lee, S. S.; Paspalof, A. M.; Snow, D. D.; Richmond, E. K.; Rosi-Marshall, E. J.; Kelly, J. J.,
610
Occurrence and potential biological effects of amphetamine on stream communities.
611
Environmental Science & Technology 2016, 50, (17), 9727-9735.
612
58. Richmond, E. K.; Rosi-Marshall, E. J.; Lee, S. S.; Thompson, R. M.; Grace, M. R.,
613
Antidepressants in stream ecosystems: influence of selective serotonin reuptake
614
inhibitors (SSRIs) on algal production and insect emergence. Freshwater Science
615
2016, 35, (3), 845-855.
616
59. Rogers, H. A.; Schmidt, T. S.; Dabney, B. L.; Hladik, M. L.; Mahler, B. J.; Van Metre, P. C.,
617
Bifenthrin causes trophic cascade and altered insect emergence in mesocosms:
618
Implications for small streams. Environmental Science & Technology 2016, 50, (21),
619
11974-11983.
620
60. Joachim, S.; Roussel, H.; Bonzom, J.-M.; Thybaud, E.; Mebane, C. A.; Van den Brink, P.;
621
Gauthier, L., A long-term copper exposure in a freshwater ecosystem using lotic
622
mesocosms: Invertebrate community responses. Environmental Toxicology and
623
Chemistry 2017, 36, (10), 2698-2714.
624 625 626 627
61. Sibly, R.; Calow, P., A life-cycle theory of responses to stress. Biological Journal of the Linnean Society 1989, 37, (1-2), 101-116. 62. Nebeker, A. V., Effect of high winter water temperatures on adult emergence of aquatic insects. Water Research 1971, 5, (9), 777-783.
30 ACS Paragon Plus Environment
Page 30 of 31
Page 31 of 31
628
Environmental Science & Technology
63. Takimoto, G.; Iwata, T.; Murakami, M., Seasonal subsidy stabilizes food web dynamics:
629
balance in a heterogeneous landscape. Ecological Research 2002, 17, (4), 433-439.
630
64. Yang, L. H.; Edwards, K. F.; Byrnes, J. E.; Bastow, J. L.; Wright, A. N.; Spence, K. O., A
631
meta‐analysis of resource pulse–consumer interactions. Ecological Monographs
632
2010, 80, (1), 125-151.
633 634 635
65. Hastings, A., Temporally varying resources amplify the importance of resource input in ecological populations. Biology Letters 2012, rsbl20120669. 66. Sardiña, P.; Beardall, J.; Beringer, J.; Grace, M.; Thompson, R. M., Consequences of altered
636
temperature regimes for emerging freshwater invertebrates. Aquatic Sciences 2017,
637
79, (2), 265-276.
638 639 640 641
67. Caudill, C. C.; Peckarsky, B. L., Lack of appropriate behavioral or developmental responses by mayfly larvae to trout predators. Ecology 2003, 84, (8), 2133-2144. 68. Jackson, J. K.; Fisher, S. G., Secondary production, emergence, and export of aquatic insects of a Sonoran Desert stream. Ecology 1986, 67, (3), 629-638.
642 643
TOC Abstract Art
644 645
31 ACS Paragon Plus Environment