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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
Effects of environmental stability and phycoperiphyton structure on the
macroinvertebrate community of regulated Andean rivers
María Isabel Ríos-Pulgarín1,2*; https://orcid.org/0000-0002-4543-6989
Valeria Henao-Lopera1 *; https://orcid.org/0000-0003-1281-6800
María Andrea Henao-Henao1; https://orcid.org/0000-0002-7809-0136
Isabel Cristina Gil-Guarín1; https://orcid.org/0000-0003-3445-1988
1. Grupo de Investigación en Limnología y Recursos Hídricos, Universidad Católica de Oriente, Rionegro, Colombia;
vale.h.l26@gmail.com; picarita02@gmail.com; isabelcristinagil84@gmail.com
2. Programa de Ingeniería Ambiental, Universidad Católica de Oriente, Rionegro, Colombia; mariaisabel.rios536@
gmail.com, mrios@uco.edu.co (Correspondencia*)
Received 19-VII-2022. Corrected 07-III-2023. Accepted 05-VI-2023.
ABSTRACT
Introduction: The variability in the structure of aquatic communities is frequently attributed to environmental
changes; however, in stable environments such as regulated rivers, trophic interactions could be another key
environmental factor determining the structure of these communities. These alterations could cause a greater
growth of algae, and in turn, changes in the functional groups and in the composition of the macroinvertebrate
community favoring the dominance of certain groups of organisms.
Objective: To identify the effects of environmental variations and changes in the structure of the phycoperiphy-
ton on the macroinvertebrate community of regulated Andean rivers.
Methods: We analyzed environmental and biological data collected in quarterly samples carried out between
2010 and 2018 in two rivers of the Central Andes (Antioquia - Colombia), for a total of 27 samples. Sample
collections used standardized methods. Different statistical models were used to establish spatial and temporal
patterns of the environmental variables, of the abundance and/or density and diversity of phycoperiphyton and
macroinvertebrates, as well as the trophic relationships that exists between them.
Results: We found that regulated rivers present relatively little environmental variability. The environmental
parameters with the greatest variation were temperature, turbidity, and orthophosphates; these last two were the
abiotic variables with the greatest contribution to benthic instability.
Conclusion: The presence of scraping and foraging macroinvertebrates was more affected by the stability of
the phycoperiphyton density than by environmental variables, showing the importance of trophic interactions in
regulated rivers and the bottom up control in these ecosystems.
Key words: ENSO; stability index; hydroelectric generation; regulation.
RESUMEN
Efectos de la estabilidad ambiental y estructura del ficoperifiton en la comunidad
de macroinvertebrados en ríos andinos regulados
Introducción: La variabilidad en la estructura de las comunidades acuáticas se atribuye frecuentemente a
cambios ambientales, no obstante, en ambientes estables como ríos regulados, las interacciones tróficas podrían
ser otro factor ambiental clave determinante de la estructura de estas comunidades. Estas alteraciones podrían
https://doi.org/10.15517/rev.biol.trop..v71i1.51800
AQUATIC ECOLOGY
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
INTRODUCTION
Among the aquatic ecosystems, the tropi-
cal rivers of the Andes stand out for the diver-
sity and heterogeneity of the communities they
contain (Cavelier et al., 2008). In addition,
they are characterized by representing an abun-
dant water supply and high erosion processes
and transport of sediments, due to climatic
conditions as well as the geomorphology and
topography of the region (Gil-Gómez, 2014). In
Colombia, this abundance of water has favored
its use for hydroelectric generation, particularly
in eastern Antioquia, where a significant num-
ber of energy projects are concentrated. Conse-
quently, numerous rivers located in this region
of the country have been dammed.
One of the main effects of regulation,
beyond changes in water quality, is the altera-
tion of the flow regime and habitat for aquatic
communities (Ponsati, et al., 2015; Roldán-
Perez, 2016). Particularly physical, chemical,
and morphological alterations in the chan-
nels, both on the spatial and temporal scale
(Gil-Gómez, 2014; Roldán- Pérez & Ramírez,
2022) can directly affect the stability of the
structure of benthic communities such as phy-
coperiphyton and macroinvertebrates (Carlisle,
et al., 2011; García et al., 2017). For example,
flow regulation can cause modifications in
the characteristics of the substrata and/or the
disposition of allochthonous organic matter,
altering the river’s capacity to process organic
matter and causing changes in trophic func-
tional groups, including an increase in filter-
feeding organisms that are filter-collectors on
the shredders (Cabrera et al., 2021; Tank, et al.,
2010; Vimos-Lojano, et al., 2020). Or it can
also induce a proliferation of algae that in turn
alters the composition of the macroinvertebrate
community, favoring the dominance of species
that consume these resources (e.g., mayflies,
Tricoptera and Plecoptera-ETP) (Tonkin et al.,
2009). The ENSO/El Niño and La Niña phe-
nomena have also been documented for their
significant effects on the rainfall and drought
regime. Consequently, there are effects on
variations in the flow, temperature and water
chemistry (turbidity, nitrogen, dissolved oxy-
gen), as well as effects on the characteristics
of the habitat that include the availability of
substrates and the speed of the flow, causing
alterations in the taxonomic and functional
composition and, in general, in the structure of
the macroinvertebrate and phycoperifiton com-
munities (Ríos-Pulgarín et al., 2016). For this
reason, these phenomena should be considered
in studies on benthic communities in regulated
systems, both to assess possible synergistic
effects with regulation, and to avoid misinter-
pretations of the results.
provocar un mayor crecimiento de algas y, a su vez, cambios en los grupos funcionales y en la composición de la
comunidad de macroinvertebrados favoreciendo la dominancia de determinados grupos de organismos.
Objetivo: Identificar el efecto de los cambios ambientales y de la estructura del ficoperifiton sobre la comunidad
de macroinvertebrados de ríos Andinos regulados.
Métodos: Se analizaron datos ambientales y biológicos recolectados en muestreos trimestrales realizados entre
2010 y 2018 en dos ríos de los Andes Centrales (Antioquia - Colombia), para un total de 27 muestras. La reco-
lección de muestras empleó métodos estandarizados. Se utilizaron diferentes modelos estadísticos para establecer
patrones espaciales y temporales de las variables ambientales, de la abundancia y/o densidad y diversidad de
ficoperifiton y de los macroinvertebrados, así como las relaciones tróficas que existen entre ellos.
Resultados: Se encontró que los ríos regulados presentan relativamente poca variabilidad ambiental. Los pará-
metros ambientales con mayor variación fueron: temperatura, turbidez y ortofosfatos; las dos últimas variables
abióticas fueron las que más aportaron a la inestabilidad bentónica.
Conclusión: La presencia de macroinvertebrados raspadores y recolectores fue más afectada por la estabilidad de
la densidad del ficoperifiton que por las variables ambientales, evidenciando la importancia de las interacciones
tróficas en ríos regulados y el control bottoom up en estos ecosistemas.
Palabras clave: ENSO; índice de inestabilidad; generación hidroeléctrica; regulación.
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This is an important and necessary knowl-
edge, since these communities have a funda-
mental role in the contribution and transfer of
energy, either as intermediate or final links with
respect to other trophic levels (Mora-Day et al.,
2009), given that they consume the organic
matter produced by photosynthetic organisms
growing as riverside vegetation that is trans-
ferred to their predators (Fernández, 2012).
At the base of these trophic chains is the
phycoperiphyton, made up of different divi-
sions of algae developed on a substrate that fix
inorganic carbon and capture the sun´s energy,
converting it into organic compounds (Moreno-
Rodríguez, et al., 2017). The next link are the
macroinvertebrates, made up mostly of larval
arthropods, mollusks, and annelids that are
especially abundant in tropical Andean rivers
and that have an important role in the grazing
of the phycoperiphytic community (Holomuzki
et al., 2010).
Numerous authors have studied the rela-
tionship of environmental parameters with the
structure of aquatic benthic communities (Gor-
dillo-Guerra et al., 2014; Huertas-Farias et al.,
2019; Oscoz et al., 2007), but only a few have
considered the trophic connections between the
communities (Carrasco-Badajoz, et al., 2022;
Moreno-Rodríguez et al., 2017; Silva-Poma &
Huamantinco-Araujo, 2020;). These connec-
tions are important since phycoperiphyton is
a source of energy for macroinvertebrates and
can exercise bottom-up control (from producers
to consumers) in the aquatic ecosystem. Graz-
ing can exercise significant control over algal
density and biomass, but different responses
are expected, depending on the characteristics
of the producer and the herbivore, since the
morphology and chemistry of a producer can
affect its consumption risk (Holomuzki et al.,
2010). This aspect has not yet been explored
in regulated tropical Andean rivers, where the
effect of seasonality may be less than that of
biological interactions. To evaluate this interac-
tion, it is necessary to know the basic biology
of the taxa and to make use of statistical tools
that identify the relationships between the bio-
logical groups.
This study aims to identify the effects of
environmental variations and changes in the
phycoperiphyton structure on the macroinver-
tebrate community in regulated Andean rivers.
Given the regulation scenario, our starting
hypothesis is that changes in phycoperiphyton
density and diversity in these systems would
have an equal or greater effect than environmen-
tal variability on macroinvertebrate abundance.
MATERIALS AND METHODS
Study area: Punchiná is a hydroelectric
generating reservoir, with a storage capac-
ity of 62 million m3, located at 750 meters
altitude in the eastern part of the department
of Antioquia in Colombia (6º12’39” N &
74º50’26” W) in the municipalities of Guatapé
and San Carlos (Fig. 1). The reservoir and its
tributary basins (Guatapé and San Carlos riv-
ers) belong to the Holdridge (1979) “lower
montane tropical humid forest” life zone with
temperatures between 19 °C and 23 °C and
average annual rainfall between 1 800 mm
and 2 500 mm (Forero et al., 2014). It is a
region influenced by the intertropical conver-
gence zone (ITZ) that receives high radiation
and presents interaction between the northeast
and southeast trade winds, favoring condensa-
tion and precipitation. A bimodal precipitation
regime generates the distribution of rainfall in
two wet periods (April to May and October to
November) and two dry periods (December
to March and June to September) (Barrera-
Olarte, 2018). The soils are of low fertility,
acid, stony, and easily erodible, it is a for-
est vocation land (CORNARE, 2010). Before
emptying in the Punchiná reservoir the San
Carlos and Guatapé rivers can be characterized
by relatively deep, turbid waters with a laminar
flow and few emerged substrates or litter accu-
mulations (Ríos-Pulgarín et al., 2020). Both
tributaries are regulated by a complex system
of reservoirs: A second reservoir is found
upstream on the Guatapé River, and the San
Carlos River receives turbinated water from a
third reservoir through a tributary river.
Sampling design: This study was carried
out between 2010 and 2018 in three annual
sampling periods during different hydrological
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periods: dry season (June), transition (Septem-
ber) and rainy season (November) for a total
of 27 samples. In the Guatapé-RG2 and San
Carlos-RSC1 rivers, sections of 100 meters
each were selected to establish the sampling
sites. The El Niño-Niña/Southern Oscillation
(ENSO) conditions for each year were defined
according to the NOAA-NCEP ONI (Oceanic
Niño Index) report (2014) for the American
Pacific and comparisons between the mean
historical monthly precipitation of the study
basin during the sampling periods (IDEAM,
2018). Based on this information, the periods
2010-2011 and 2016 were defined as La Niña,
2012-2014, 2017 and 2018 as neutral, and 2015
as El Niño.
Sampling: At each sampling sites, the
temperature (oC), dissolved oxygen (DO)
(mg/l), the percentage of oxygen saturation
(%), pH, electrical conductivity (µS/cm) were
measured with a Hach HQ40D multi-parameter
instrument. Water samples for ex situ analysis
of turbidity (N.T.U.), solids (mg/l) (suspended,
dissolved and total), total iron (mg Fe/l), nitrites
(mg NO2-/l), nitrates (mg NO3-/l), ammoniacal
nitrogen (mg NH3/l), total phosphorus (mg P/l),
orthophosphates (mg PO4-3/l), and chemical
oxygen demand (COD mg/l) were taken. In
all cases, we followed standard methods for
examination of water and wastewater using the
22nd edition (Baird & Bridgewater, 2017) and
we collected biological samples (macroinverte-
brates and phycoperiphyton).
The phycoperiphyton samples were col-
lected in ten substrata immersed in the bed
along the 100 m stretch, using plastic brushes
and 10 cm2 quadrants until obtaining a scraping
area of 100 cm2 per site. Samples were stored
in plastic containers and preserved the contents
Fig. 1. Sampling sites in the tributaries of the Punchiná reservoir. Modified from Ríos-Pulgarín et al. (2020).
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with Lugol’s solution. Macroinvertebrates were
collected along the same stretch, using a D-net
with a 400 µm mesh eye in areas with sub-
merged vegetation, a screen net in sandy areas
(both with 0.5 mm mesh eye), and manual sam-
pling on substrates such as rocks or logs using
tweezers to form an integrated sample, with a
standardized effort of 20 minutes/rig/sample,
for a total of one hour of sampling per sample.
The specimens were stored in glass PET bottles
with 70 % alcohol.
Laboratory work and identification:
Both communities were analyzed in the Lim-
nology Laboratory of the Universidad Católica
de Oriente. Taxonomic determination of phyco-
periphyton was carried out following the keys
of Bicudo and Menezes (2006), Guiry & Guiry
(2018), and Ramírez (2000). The count of indi-
viduals per species was made using an Olym-
pus CKX41 inverted microscope following
the methodology of 30 random fields (Lund,
et al., 1958) and a magnification of 40X 10.
Density is reported as individuals per square
centimeter (ind/cm2) (Ross, 1979). Taxonomic
determination of the macroinvertebrates was
made to the lowest possible level following the
keys of Aristizábal (2017), Manzo & Archan-
gelsky (2008), McCafferty (1981), Merrit et
al. (2008), and Posada & Roldán (2003). The
count was carried out using a Carl Zeiss Stemi
508 stereo microscope at a magnification of
10X 40 and included the individuals collected
with the different instruments accumulated per
sample and expressed as abundance/sample.
The organisms were deposited in the macroin-
vertebrate reference collection of the Univer-
sidad Católica de Oriente CM-UCO and were
also registered with the Alexander von Hum-
boldt Biological Resources Research Institute
of Colombia using the Darwin Core format
(https://ipt.biodiversidad.co/sib/resource?r =
uco-002). Based on secondary information,
each taxon was assigned to one of the five tro-
phic functional groups (GT), according to the
classifications of Silva-Poma & Huamantinco-
Araujo (2022), Ríos-Pulgarín et al., (2016),
Chará-Serna, et al. (2010) and Tomanova et
al. (2006). The five groups were as follow: CF
(filterers), CG (gatherers), SH (shredders), SC
(scrapers) and PR (predators). In those cases, in
which the genus included species with trophic
flexibility or with different habits, the cor-
responding combinations were presented, for
example, as CF-CG.
Data analysis: Biological variables were
used to establish the basic structure of the
communities through the Hill numbers, in
terms of abundance or density, richness (Q0),
diversity of common species equivalents (Q1),
and dominant species (Q2) (Moreno, 2001),
using the PAST 3.12 Software (Hammer, et al.,
2001) The abundance of groups of macroin-
vertebrates, indicators of environmental water
quality, was estimated, categorizing the organ-
isms into the following groups: low quality
due to organic contamination (non-arthropods
Gastropoda, Bivalvia, Clitellata and Diptera),
high quality (ETP Ephemeroptera, Plecoptera,
Trichoptera), and variable tolerance in inter-
mediate scales (other arthropods). The effect
of the site and sampling period on the vari-
ability of the environment and the community
in terms of richness, diversity, and abundance
or density was established by creating gener-
alized linear models (GLMs) for each of the
variables. The independent variables (factors)
were the sampling site, the hydrological period,
the year, and the ENSO phenomenon; and the
dependent variables included all physical and
chemical variables, as well as the richness and
abundance or density of macroinvertebrates
and phycoperiphyton. For each parameter, the
models with the lowest AIC values (Akaike,
1974) were selected, in this case those of the
Gaussian family (log) for both environmental
and biological variables. Significances greater
than 95 % were considered for the FFM model
estimators for each parameter, corresponding
to the positive or negative effects of the fac-
tors on the dependent variables. GLM analyzes
were done using R-project software, version
3.6.3. (RStudio Team (2020). The environ-
mental and biological variables that showed a
significant response to the factors evaluated
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using the GLM analyzes were included in the
canonical discriminant analysis (ADC). This
is an analysis that creates a function capable
of classifying factors (sites, years, or ENSO
phenomena), considering a series of discrimi-
nating variables (in this case, environmental
variables, and the taxonomic composition of
benthic organisms). The percentage of correct-
ly classified data was obtained through cross
validation. The spatial and temporal aggrega-
tion of the trophic guilds of macroinvertebrates
and algal divisions was visually explored by a
multidimensional scaling analysis (MDS) using
the Bray-Curtis similarity index as a measure
of distance. Both ADC and DMS analyzes
were done using RWizard software version 4.3
(Guisande et al. al., 2014).
The relationship between environmental
and biological variables, as well as the relative
effect of trophic resources (phycoperiphyton)
and environmental variables, were evaluated
using the factors shaping community assem-
blages (FCA) analysis that is based on the
instability of the environment (understood as
the variability in environmental parameters)
and the abundance and/or density of indi-
viduals of the biological group of interest, in
order to find the factors that most influence
the spatio/temporal changes of each of the
groups functionally or taxonomically consid-
ered (Manjarrés-Hernández et al., 2021). For
this, a principal component analysis (PCA) was
carried out by year and sampling site, using the
software past V 2.17 (Hammer et al., 2001) that
allowed a determination of the trophic guilds of
macroinvertebrates and the environmental vari-
ables that provide a greater contribution on the
variance, based on the Jolliffe criterion (1972,
1973). Taxa of 18 orders of macroinvertebrates
classified according to their trophic guild (cor-
responding to 73 % of the total abundance of
macroinvertebrates), and 4 phycoperiphyton
divisions (corresponding to 99 % of the densi-
ty) were conserved. With these results, the fluc-
tuation index of Dubois (1973) was estimated,
modified by Guisande et al. (2006) to calculate
the instability of the phycoperiphyton divisions,
of the trophic guilds of macroinvertebrates in
the environment.
Where s is the number of variables, pi the
relative proportion of variable i at a specific
time or space, pi the reference state, which is
calculated as the average of the relative propor-
tions for variable i during the study period or
considering the sampling sites. The FCA analy-
sis used artificial intelligence algorithms in
the R package randomForest (Liaw & Wiever,
2018) to determine the relationship between
environmental instability and the instability of
the phycoperiphytic community, as well as the
relationship between the selected groups of the
two benthic communities. 10 % of the data was
not included in the model for its validation.
Likewise, the FCA used the R relaimpo pack-
age (Grömping, 2006; Grömping, 2021) to find
the contribution of each one of the phycope-
riphyton taxa to the changes in the abundance
of macroinvertebrates and the contribution of
each one of the physicochemical variables to
the changes in the instability index of the phy-
coperiphyton divisions by means of hierarchi-
cal partitioning (Chevan & Sutherland, 1991).
The analysis was performed in the RWizard
version 4.3 software (Guisande, et al., 2014).
RESULTS
Environmental Variability: The GLM
analyzes made it possible to determine that at
a temporal level in 2012, 2013 and 2015 there
was a decrease (negative effect) in the concen-
trations of DO (average 6.96 -7.34mg/l) and
NO3- (average 0.15-1.59 mg/l). Likewise, on a
spatial scale a reduction in temperature (22.02
°C) and electrical conductivity (31.43 µS/cm)
was observed at the RSC1 site, with the pH
(7.42 pH Units) and TSS (31.05mg/l), the latter
values closely related to turbidity. In all these
cases the model was significant with P < 0.05
(Table 1 and Fig. 2). According to the FCA
hierarchical partitioning analysis that estimates
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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
Fig 2. Spatial and temporal behavior of the biological and environmental variables that showed variability in the RG2
(Guatapé River) and RSC1 (San Carlos River) sites, between 2010 and 2018.
8Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
the contribution of variables to environmental
instability both at a spatial and temporal level
(Fig. 3), turbidity and PO4-3 contributed 39.83
and 62.67 % to environmental instability, thus
accumulating more than 90 % of the contribu-
tion (R2 = 0.89).
Variability of the phycoperiphytic com-
munity: A total density of 3 973 809 ind/cm2
was recorded, distributed in 8 divisions, 13
classes, 37 orders, 65 families, and 122 taxa.
The divisions that contributed the most to the
total density were Bacillariophyta and Cyano-
bacteria with relative densities of 61 and 32
%; the genus Oscillatoria sp. registered the
highest relative density (17.73 %), followed
by Navicula sp. (15.03 %), Achnanthes sp.
(15.01 %), Lyngbya sp. (11.11 %), Synedra sp.
(6 %) and Gomphonema sp. (5 %). The RSC1
site showed significantly less diversity (nega-
tive effect) (P < 0.04). In 2013 and 2017, the
lowest Q0 diversity values were also observed,
with minimums of up to 8 taxa and an average
between 14 and 15 (Table 1). In 2013 the den-
sity increased (positive effect), with an average
of 251 439 ind/cm2 in RG2 and 20 678 ind/cm2
in RSC1. In conrast, in 2014 the lowest value
was recorded with an average of 2 359 ind/cm2
in RSC1 (Table 1).
Variability of the community of aquat-
ic macroinvertebrates: The total abundance
of macroinvertebrates was 9 465 individuals.
These were classified as 136 taxa, 64 families,
18 orders, 6 classes, and 4 phyla. In the RG2
site, ETP organisms represented 30 % of the
total abundance, non-arthropods 43.6 %, and
other arthropods 26.3 %. The most abundant
Table 1
Average, minimum, and maximum values, coefficient of variation and significance of the generalized linear model (MLG)
for the biological and environmental variables during the years of the ENSO periods, and sites studied: RG2 (Guatapé river),
RSC1 (San Carlos River)
Variable RG2 RSC1 P Values
Mean Range CV Mean Range CV Y P S P E
Temp. 22.6 21.7 25.2 0.049 22.6 20.6 24.1 0.049 RSC1 0.00006
DO 7.36 5.94 8.24 0.11 7.37 5.24 8.53 0.104 2012
2013
2015
0.037 RSC1 0.00002
Cond. 36.76 33.1 60.70 0.23 36.61 21.24 51.10 0.23 RSC1 0.00002
pH 7.28 6.56 8.50 0.06 7.28 6.40 8.63 0.06 RSC1 0.012
NO31.03 0.16 1.94 1.03 1.02 0.03 2.03 0.53 2015 0.0000834
Phyco.dens 92043.00 546.47 751954.08 20756.00 55135.08 841.02 598595.02 2.11 2013 0.0337 RSC1 0.00009
Q0 22.74 9 48 0.39 17.48 1 29 0.39 2017 0.0044 RSC1 0.0039
2013 0.0399
Q1 6.17 1 11.77 0.41 61.22 1 11.77 0.42 RSC1 0.036
Q2 4.11 1 8.98 0.45 4.08 1 8.97 0.46 RSC1 0.0123
Macro.Abun 175 0 742 0.9 178 28 575 0.88 2011 0.0011
Q0 7 0 10 0.25 7 4 9 0.20 2011 0.00668
Q1 6 0 9 0.24 6 3 8 0.19 2011 0.0117 RSC1 0.0129
Q2 5 0 8 0.24 5 3 7 0.19 2011 0.0273 RSC1 0.0024
2014 0.0398
2015 0.0182
2018 0.0249
*The models with the best fit and the lowest AIC criteria for the environmental variables and for the benthic communities
were of the Gaussian family (log). Abbreviations: Y = years, S = sites, E = ENSO. temp = water temperature, DO = dissolved
oxygen, Cond = electrical conductivity, pH, NO3 = nitrates, Fico.dens = ficoperiphyton density, Q0 = richness, Q1 =
equivalent diversity of common species, Q2 = dominant species, Macro.Abun = abundance of macroinvertebrates.
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genera were Melanoides (Neotaenioglossa) and
Leptonema (Trichoptera). At the RSC1 site,
the most representative groups were the ETP
with 60.5 % of total abundance and other
arthropods with 37.5 %. During the study,
the most abundant genera were Tricorythodes
(Ephemeroptera) and Rhagovelia (Hemiptera).
The scraper-filter feeders (CF-SC), collector-
shredders (CG-SH), and predators (PR) were
the ones with the highest contribution to the
total abundance (63 %). In the temporal scale,
abundance was relatively similar, although
it increased in 2013 and 2016 in RSC1 and
between 2010 and 2013 in RG2. The MGL
identified a significant negative effect on the
diversity of dominant species (Q2) in the years
2011, 2014, 2015 and 2018 (P < 0.002), espe-
cially in RSC1.
Patterns of environmental and biological
stability: The discriminant analysis obtained
more than 90.7 % of cases correctly identified
by cross validation, except when the sampling
years were analyzed, where only 50 % of the
cases were correctly identified. No patterns
of seasonal variation were found. Discrimina-
tion between sampling sites (100 % variance
explained by the first canonical axis) con-
firmed spatial environmental differences that
coincided with changes in macroinvertebrate
composition (Fig. 4). The RSC1 site was domi-
nated by ETP organisms and other arthropods
that were associated with high concentrations
of DO and TSS (total suspended solids). In
contrast, at the RG2 site non-arthropod organ-
isms stood out, associated with a higher tem-
perature and electrical conductivity. On the
time scale, only the year 2013 is discriminated
due to the increase in Cyanophytas and Bacil-
liariophytas, but with an explained variance of
less than 50 %. While for the ENSO periods,
the discriminant analysis explained 84 % of
variance in the first canonical axis, the La Niña
phenomenon was differentiated by the greater
presence of Charophyta and Chlorophyta, coin-
ciding with a high concentration of nutrients
(NO3- and PO4-3) and DO. The Bacillariophyta,
Cryptophyta, Cyanobacteria, Euglenozoa, Mio-
zoa, and Ochrophyta divisions as well as all
macroinvertebrate groups were associated with
drier El Niño periods and neutral periods asso-
ciated with increases in electrical conductivity
and temperature.
The EMD analysis also identified an
aggregation of benthic communities depending
on the sampling site (stress value of 0.068).
According to this analysis, spatial differences
prevailed in the density of algal divisions and
the abundance of macroinvertebrate trophic
guilds. At the RG2 site an aggregation pattern
of collector-filter and collector-scraper organ-
isms was observed, while at the RSC1 site the
guilds were more abundant, the same as the
phycoperiphyton (Fig. 5).
Fig. 3. Contribution of physicochemical variables to instability of the environment using the hierarchical partitioning
method, R2 = 0.89.
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
According to the results of the princi-
pal component analysis, four phycoperiphy-
ton divisions, eight macroinvertebrate trophic
guilds, and a total of seven physicochemical
variables were included in the instability analy-
sis. Table 2 shows the greatest contributions of
environmental variables and phycoperiphyton
to the instability of the macroinvertebrate com-
munity. For both environmental and biological
variables, the model shows an R2 greater than
83 %. The trophic guilds that presented the
greatest response to environmental instability
Fig. 4. Discriminant analysis between sampling sites and times, based on environmental variables and composition of
benthic species. Abbreviations: Temp = water temperature, DO = dissolved oxygen, TSS = total suspended solids, Cond
= electrical conductivity, NO3 = nitrates, PO4 = orthophosphates, Bacill = Bacillariophyta, Charo = Charophyta, Chlo =
Chlorophyta, Crypto = Cryptophyta, Cyano = Cyanobacteria, Eugle = Euglenozoa, Mio = Miozoa, Ochro = Ochrophyta,
Dipt = Diptera, No Art. = no arthropods, Other Art. = other arthropods, ETP = Ephemeroptera, Trichoptera, Plecoptera.
11
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
were scrapers (SC) and filter feeders (CF) that
on the spatial scale responded negatively to
oxygen and turbidity. On the time scale these
groups responded negatively to conductivity
and NO3- but to a much lesser extent. The
collector-shredders (CG-SH) responded only
in the spatial scale, positively to turbidity and
negatively to DO.
The contribution of algal divisions to the
instability of macroinvertebrates only affected
the guild of scrapers (SC), although significant-
ly higher than the environmental contribution
and at both a spatial and temporal level. The
divisions Charophyta and Chlorophyta showed
a higher and negative contribution to the insta-
bility of the scrapers, while Cyanobacteria
Table 2
Interaction between the instability of the physicochemical variables, the instability in the algal density, and the abundance
of macroinvertebrates in tributary rivers of the Punchiná reservoir (based on artificial intelligence algorithms from the FCA
analysis).
Contribution
Environmental Variables r2Resource (Divisions) r2
Stability Temporal Variables SC CF.SC 0.89 Variables SC 0.84
Temperature 67.5 -3.6 Bacillariophyta 252.990958
pH 112.3 90.9 Charophyta -396.76851
Conductivity -169 81.5 Chlorophyta -642.055658
Turbidity 112.5 108.3 Cyanobacteria 885.83321
Nitrates 48.3 -162.7
spatial Variables CG.SH CF.SC 0.88 Variables SC 0.83
OD -2 171.3 -1 702.8 Bacillariophyta 1 309.26547
pH 859.676 1 309.258 Charophyta -663.071129
Turbidity 3 032.89 -1 189.85 Chlorophyta -2 382.15325
Cyanobacteria 1 835.9589
Abbreviations: SC = Scrapers, CG.SH = Gatherers-Shredders, CF.SC = Filterers-Scrapers, CG-SH = Gatherer-Shredders.
Fig. 5. Multidimensional scaling representing the aggregation of biological data, according to the sampling site, based on
the composition of benthic communities.
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
make a high positive contribution to this insta-
bility, both at the spatial and temporal levels.
The effect of Bacillariophyta is low at the
temporal level and moderate at the spatial level
(Table 2).
DISCUSSION
The physicochemical parameters showed,
for the most part, relative stability as expected
from environmental variability in regulated
systems. The pH showed adequate values for
the establishment of most aquatic species (6-8
pH units) (Arango et al., 2008). The tempera-
ture was characteristic of the tropics (annual
average higher than 18 °C and a maximum of
28 °C) (López et al., 2012). According to the
DO concentration (> 5 mg/l) and the chemical
oxygen demand (< 27 mg/l), both sites offered
adequate conditions for aquatic life (Gualdrón-
Durán, 2018; Roldán-Pérez & Ramírez, 2022)
consistent with the high slope that favors
oxygenation (Rivera, 2004). Likewise, inor-
ganic nutrients were found in relatively low
concentrations that do not show conditions
of enrichment.
No effect of hydrological seasonality was
detected, probably a consequence of regula-
tion; however, moderate temporal variations
were observed to be associated with the ENSO
phenomenon. This is the case of a decrease
in the concentration of DO in the years 2012,
2013, and 2015 corresponding to the El Niño
phenomenon at both sampling sites. The rela-
tionship between the concentration of nitrates
with the runoff and the hydrological cycle man-
ifested itself with an increase during the rainy
periods of 2015. For the structure of the benthic
communities, the algal community divisions
Cyanobacteria and Bacillariophyta were the
ones that most contributed to the total density.
According to Casco and Toja (2003) and Passy
(2007) the high densities of these divisions are
related to their specialized growth forms that
adhere to the substrates and that include differ-
ent habits such as prostrate, erect, filamentous,
chain-forming, or tubes and colonial, according
to the availability of resources and disturbances
such as flow oscillations (Passy, 2007; Ríos-
Pulgarín et al., 2016). The most representa-
tive macroinvertebrates were Ephemeroptera,
Trichoptera and Gastropoda, in relation to the
supply of resources and habitat in each river.
At the spatial level, in the RSC1 site the
lower values of diversity and density of phyco-
periphyton reflect low environmental stability,
favoring the growth of some genera such as
Oscillatoria sp, Navicula sp., Cylindrocystis
sp., Achnanthes sp., and Lyngbya sp. with
adaptations to flow fluctuations and the avail-
ability of low-quality substrates. The composi-
tion and abundance of macroinvertebrates also
showed spatial differences. The RSC1 site was
characterized by a greater abundance of the
orders Ephemeroptera, Trichoptera, Plecoptera
and others of Arthropoda, favored by physi-
cochemical and habitat characteristics such
as the presence of substrates like trunks, sub-
merged vegetation, shallower depth, and speed
of the current (Ríos-Pulgarín et al., 2020). In
contrast, in the RG2 site non-arthropod organ-
isms predominated, especially molluscs of the
orders Hygrophila and Neotaenioglossa that
are favored by the presence of submerged
vegetation and a high organic load (Baqueiro-
Cárdenas et al., 2007; Vogler et al., 2012). The
discriminant analysis corroborated the differ-
ences between sampling sites and associated
with the predominance of ETP macroinver-
tebrates and other arthropods in RSC1 with
high concentrations of OD and TSS. The abun-
dance especially of mollusks in RG2 coincided
with conditions of higher temperature and
electrical conductivity.
The effects of environmental regulation
determined the response on the temporal scale;
inorganic nutrients showed high concentra-
tions during the La Niña period as a result
of increased transport and fragmentation of
particulate organic matter upstream of the sam-
pling site (Reddy et al. al., 1999). The green
algae of the Chlorophyta and Charofita divi-
sions were related to the La Niña phenomenon,
because they are favored by the increase in
the concentration of nutrients (Eikland, et al.,
2017., Sarmiento Morales, 2017). During the
13
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
dry conditions of El Niño, in contrast, cyano-
bacteria (Cyanophyta) predominated, charac-
terized by their ability to secrete mucilages that
provide them with enough moisture to protect
their reproductive structures (Casco & Toja,
2003) and diatoms (Bacillariophyta) that they
are favored by stable conditions in the and
an increase in temperature (Rivera Rondón &
Donato, 2008). This condition favors the prolif-
eration of certain groups of diatoms when there
are sufficient nutrients available (Casco & Toja,
2003). On the other hand, the nutrients did not
have significant effects on the algal densities
since their concentrations were relatively stable.
The effect of hydrological seasonality on ben-
thic communities was only observable during
the extreme conditions of the La Niña/ENSO
phenomenon. The low incidence of hydrologi-
cal disturbance favored diverse communities.
Under conditions of relative environmental
stability, biological interactions in the com-
munity structure gained importance. Biggs &
Smith (2002), Díaz-Quirós & Rivera-Rondón
(2004) and, Martínez & Donato (2003) have
suggested that long-term periods of hydrologi-
cal stability are necessary for the development
of a phycoperiphytic community with greater
species richness maintaining assemblages in
early stages of succession since hydrological
disturbance periodically removes taxa that do
not have adaptations to trawling (Ríos-Pulgarín
et al., 2016). The increase in the speed of the
water during the La Niña period generates
drag; therefore, most of the benthic organisms
thrive in the dry period of El Niño (Cantonati &
Spitale 2009; Carmona-Jiménez et al., 2016).
These organisms determined the differences in
the values of density or abundance during peri-
ods when environmental control predominates.
In the absence of such controls, the FCA results
suggested a significant effect of phycoperiphy-
ton on the macroinvertebrate community.
According to Fenoglio et al., (2020), the
most obvious trophic relationship between ben-
thic communities is grazing, carried out by
herbivorous invertebrates from biofilms on
substrates. So, in addition to habitat condi-
tions and physical and chemical factors, the
density of periphytic algae depends on the
diet of scraping macroinvertebrates that are
frequently found in the ETP group (Tierno de
Figueroa, 2019). Among these, the families
Baetidae, Leptohyphidae, and Leptophlebiidae
(Ephemeroptera), Perlidae (Plecoptera) stand
out, as well as the families Hydroptilidae,
Glossosomatidae and Xiphocentronidae (Tri-
choptera) that according to Springer (2010),
have genera that are phycoperiphyton scrapers.
In the case of the order Plecoptera, their diet is
based mainly on diatoms, species that are eas-
ily digested by macroinvertebrates, due to the
absence of lignin, even though their levels of
proteins, lipids, and carbohydrates are relatively
low (Bojorge-García & Cantoral-Uriza, 2016;
Diaz-Villanueva, 2001). For the order Trichop-
tera scraping algae is one of the most common
sources of food acquisition, with chewing-type
mouthparts, sucking algae cell contents (Wig-
gins, 2004). Organisms of the order Ephemer-
optera are also scraper or collector herbivores
and feed on algae and tissues of aquatic plants
(Flowers & De la Rosa, 2010). Another group
that has effects on the richness and density of
phycoperiphyton are the molluscs of the order
Gastropoda and the species Melanoides tuber-
culate (Coat et al., 2009; Putz, 1997) that was
particularly abundant in the study. Given that
the relationship between these two communi-
ties is positive, we can assume that the control
of the trophic web in these systems occurs from
the producers (bottom up).
The higher density of phycoperiphyton in
RSC1, coinciding with the lower abundance
of collector-scraper or collector-filter mac-
roinvertebrates and a greater abundance of
predators, is consistent with a lower incidence
of herbivory at this site, as demonstrated by
Savic et al., (2018). This negative dependence
on grazing has been documented using biomass
as a response, but an indirect and positive effect
of predation that decreases herbivores has also
been found (Hillebrand, 2009, Holomuzki et
al., 2010, Rakowski & Cardinale, 2016) and
favors the increase of phycoperiphyton. In
this sense, when analyzing the stability of
the different communities, a possible effect
14 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
of selective grazing of macroinvertebrates on
phycoperiphyton is evident, since Charophyta
and Chlorophyta decrease because of graz-
ing, while cyanobacteria are less affected due
to their mucilaginous cover, production of
toxins, and/or lower nutritional value. For its
part, Bacillariophyta, thanks to high reproduc-
tion rates, are abundant and constant, so they
do not show significant variations in supply.
Dunk et al., (2018) have documented the func-
tional responses of phycoperiphyton to grazing.
According to these authors, the prevalence of
algae with prostrate habits is since they tolerate
herbivory better than filamentous or erect ones
that are easily removed from the upper layer
of the biofilm. However, some species of the
scraper orders Gastropoda and Ephemeroptera
could remove prostrate algae (Holomuzki et
al., 2010). Although this dependency gains
importance due to environmental stability, the
results suggest that those variables that showed
instability may exercise indirect environmental
control over trophic guilds. This is the case of
temperature that favors collectors and scrapers
due to the increase in the supply of substrates.
Turbidity, that negatively affects predators due
to its dependence on vision, favors scrapers,
shredders, and filter-feeding herbivores. So,
the effects of grazing can vary according to the
prevailing environmental conditions. Peters et
al., (2007) suggest that aspects such as spatial
heterogeneity associated with substrates, nutri-
ent concentration, or hydrodynamic conditions
restrict the trophic guilds that are established.
This contributes to the incidence of herbivory
in the RG2 site associated with the predomi-
nance of mollusks that are favored by higher
concentrations of organic matter.
In summary, under conditions of environ-
mental stability, the increase in the densities of
phycoperiphyton would increase the scraping
macroinvertebrates that use them as a food.
Given the reduction in hydrological seasonality
associated with regulation, at RG2 and RSC1
herbivory acted as a determining factor of the
phycoperiphyton structure, and the effect of
environmental variables was only detected dur-
ing extreme conditions such as the ENSO, with
temperature and turbidity as the main factors
that presented greater instability and incidence
on the trophic guilds. This produces a smaller
effect of environmental instability than of insta-
bility of the supply of phycoperiphyton on the
macroinvertebrate community.
Sampling sites showed little temporal vari-
ability in environmental conditions due to
regulation. Under these conditions, phycope-
riphyton was regulated mainly by herbivorous
macroinvertebrates (scrapers), especially ETP
arthropods and some Gastropoda mollusks.
This trophic relationship was even more rele-
vant than the physicochemical conditions of the
environment in the structuring of the benthic
communities, confirming the initial hypothesis
and showing that in these systems the control of
the trophic web occurs from the producers (bot-
tom up), whose densities condition the abun-
dance and composition of macroinvertebrates.
Ethical statement: the authors declare
that they all agree with this publication and
made significant contributions; that there is no
conflict of interest of any kind; and that we fol-
lowed all pertinent ethical and legal procedures
and requirements. All financial sources are
fully and clearly stated in the acknowledgments
section. A signed document has been filed in
the journal archives.
ACKNOWLEDGMENTS
The authors thank the Limnology and
Water Resources Research Group of the Uni-
versidad Católica de Oriente and the power
generating company ISAGEN for managing
the inter-institutional agreement that made
reliable historical data available. Thanks to the
technical team of the project “Study of the his-
torical behavior of the Punchiná-San Lorenzo-
Calderas system and the changes that have been
generated in the hydrobiological communities
and the physicochemical variables between
2010 and 2018 for their collaboration during
the sampling and analysis in the laboratory and
to the reviewers for their contributions that will
improve the quality of this manuscript.
15
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 71: e51800, enero-diciembre 2023 (Publicado Jul. 25, 2023)
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