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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
Habitat preferences and simulation of physical habitat availability of Perlidae
(Plecoptera) and Corydalidae (Megaloptera) in a neotropical river
Francisco Quesada-Alvarado1; https://orcid.org/0000-0001-9025-3009
Silvia Echeverría-Sáenz1*; https://orcid.org/0000-0001-8214-745X
Anny Chaves-Quirós2; https://orcid.org/0000-0003-4340-9415
1. Central American Institute for Studies on Toxic Substances (IRET), Universidad Nacional, Heredia, Costa Rica. Postal
code 86-3000, Heredia, Costa Rica; FranQAL@gmail.com, silvia.echeverria.saenz@una.ac.cr
2. Instituto Costarricense de Electricidad (ICE), San José, Costa Rica; anny.chaves13@gmail.com
Received 13-XII-2024. Corrected 16-VI-2025. Accepted 10-X-2025.
ABSTRACT
Introduction: Habitat preferences represent the distribution and abundance of species among different habitat
types. These preferences are highly relevant ecological information because they relate to the feeding strategies,
offspring care and predator avoidance refuges of the organisms, therefore potentially influencing their fitness.
Objective: To define the habitat preference of the nymphs of Anacroneuria spp. (Plecoptera) and larvae of
Corydalus spp. (Megaloptera) with respect to current velocity and depth.
Methods: We evaluated the abundance of Anacroneuria and Corydalus with information gathered through 15
field campaigns in three sites of the Savegre River, Costa Rica. Also, we used habitat preferences to create simula-
tions of the physical habitat availability for these species through hydraulic models to determine habitat gain or
loss due to variations in flow.
Results: Anacroneuria (Plecoptera) nymphs preferred velocities of 0.9 m/s and depths between 23-36 cm, while
Corydalus (Megaloptera) larvae preferred velocities between 0.6-0.8 m/s, and depths between 17-29 cm. As a
case study, these preferences were modeled to determine optimal, regular or inadequate habitat availability for
Anacroneuria and Corydalus given hypothetical flow variations in the Savegre River (Costa Rica). A discharge of
< 8 m3/s resulted in a decrease in optimal habitat, mainly because it decreased water velocity below the preferred
ranges. Also, a discharge of > 18 m3/s resulted in a decrease in optimal habitat because of the depth increase.
Conclusions: This type of information is scarce or even absent for neotropical rivers, though necessary for a
description of a healthy habitat. Furthermore, this habitat preference vs. modeled habitat availability approach is
highly useful, -both in tropical and temperate rivers- for understanding the potential effects of any water deriva-
tion or exploitation.
Key words: aquatic insects; stoneflies; dobsonflies; hydrobiological model; river management.
RESUMEN
Preferencias de hábitat y simulación de disponibilidad de hábitat físico de Perlidae (Plecoptera) y
Corydalidae (Megaloptera) en un río neotropical
Introducción: Las preferencias de hábitat representan la distribución y abundancia de las especies entre distintos
tipos de hábitat. Estas preferencias constituyen información ecológica de gran relevancia ya que están relaciona-
das con las estrategias de alimentación, el cuidado de las crías y los refugios para evitar la depredación, por lo
que pueden influir en su supervivencia y capacidad reproductiva.
https://doi.org/10.15517/wykjtt15
AQUATIC ECOLOGY
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
INTRODUCTION
Aquatic macroinvertebrates constitute a
diverse community of organisms that have
been extensively utilized for biomonitoring
purposes over the past several decades (Bonada
et al., 2006, Sumudumali & Jayawardana, 2021).
These organisms are a vital component of
aquatic ecosystems, representing approximately
60 % of the animal biodiversity in continental
freshwater environments (Balian et al., 2008).
Additionally, macroinvertebrates play essential
roles in energy transfer, aquatic trophic dynam-
ics, and nutrient cycling, both within aquat-
ic ecosystems and in the adjacent terrestrial
environments (Dijkstra et al., 2014). Among
aquatic macroinvertebrates, insects form the
largest group and, although they have been
relatively well studied, significant gaps in basic
ecological knowledge persist (Hauer & Resh,
2002; Starr & Wallace, 2021). These knowledge
gaps limit the full potential of aquatic insects
as tools for decision-making processes and
watershed management.
Habitat preferences describe the distribu-
tion and abundance of species across different
habitat types, enabling the identification of the
most characteristic habitats (Baptista et al.,
2001). This ecological information is highly
relevant, as it is closely linked to feeding strate-
gies, offspring care, predator avoidance, and the
availability of refuges, and environmental toler-
ance, all of which can significantly influence
the fitness of organisms. Furthermore, under-
standing habitat preferences provides valu-
able insights for predicting how species might
respond to habitat loss (Beyer et al., 2010).
In lotic systems, habitat preferences are
typically represented as preference curves or
habitat suitability curves, which are used to
assess the quantity and quality of available habi-
tat in relation to river flow (Kelly et al., 2015;
Shearer et al., 2015; Theodoropoulos et al.,
2015; Vázquez et al., 2020). These preference
curves can also be employed to generate simu-
lations of physical habitats using eco-hydraulic
models, which facilitate the evaluation of habi-
tat gain or loss in response to flow variations
(Im et al., 2011; Im et al., 2018; Kim & Choi,
2018), whether these variations are of natural
origin or result from anthropogenic activi-
ties, such as hydropower dams or irrigation
reservoirs.
Ecological information, habitat preferences
and eco-hydraulic modeling of aquatic species
sensitive to changes in discharge can be used to
calculate environmental flows for rivers where
water extraction or derivation is contemplated.
Objetivo: Definir la preferencia de hábitat de ninfas de Anacroneuria spp. (Plecoptera) y larvas de Corydalus spp.
(Megaloptera) con respecto a la velocidad de la corriente y la profundidad.
Métodos: Con información recopilada a través de 15 campañas de muestreo en tres sitios del río Savegre, Costa
Rica, se evaluó la abundancia de Anacroneuria y Corydalus. Además, las preferencias de hábitat de las especies se
utilizaron para crear simulaciones de la disponibilidad física de hábitat mediante modelos hidráulicos y determi-
nar la ganancia o pérdida de hábitat debido a variaciones en el caudal.
Resultados: Las ninfas de Anacroneuria (Plecoptera) prefirieron velocidades de 0.9 m/s y profundidades entre
23-36 cm, mientras que las larvas de Corydalus (Megaloptera) prefirieron velocidades entre 0.6-0.8 m/s y profun-
didades entre 17-29 cm. Como estudio de caso, se modelaron estas preferencias para determinar la disponibilidad
de hábitat óptimo, regular o inadecuado para Anacroneuria y Corydalus dadas las variaciones hipotéticas de cau-
dal en el río Savegre (Costa Rica). Un caudal < 8 m3/s resultó en una disminución del hábitat óptimo, principal-
mente debido a la disminución de la velocidad del agua por debajo de los rangos preferidos. Asimismo, un caudal
de > 18 m3/s provocó una disminución del hábitat óptimo debido al aumento de la profundidad.
Conclusiones: Este tipo de información es escasa o incluso inexistente para los ríos neotropicales, aunque nece-
saria para la descripción de un hábitat saludable. Además, comparar la preferencia de hábitat frente a la disponi-
bilidad de hábitat modelada es muy útil -tanto en ríos tropicales como templados- para comprender los efectos
potenciales de cualquier derivación o explotación de agua de un cauce.
Palabras clave: insectos acuáticos, moscas de la piedra, megalópteros, modelo hidrobiológico, gestión fluvial.
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Such sensitive species information (bioindica-
tors) is important to assure the biodiversity
and ecological integrity of rivers subjected to
human activities (Chaves et al., 2010). Until
now, almost all flow bioindicator species used
worldwide have been fish (Theodoropoulos et
al., 2018), which render valid information, but
are difficult to sample or quantify, and are also
limited in their altitudinal distribution (e.g. no
native fish species exist in Costa Rica above 1
400 m a.s.l; Angulo et al., 2013). This created the
need for additional biological data derived from
other ecologically relevant groups of aquatic
biota in rivers (Chaves et al., 2010; Vázquez et
al., 2020). Moreover, Kelly et al. (2015) ques-
tioned the applicability of generalized habitat
suitability curves across diverse river systems,
underscoring the need for region-specific data,
particularly for neotropical species and rivers.
For this research, we selected nymphs of
the aquatic insects Anacroneuria (Plecoptera:
Perlidae) and larvae of Corydalus (Megaloptera:
Corydalidae) as study organisms. The nymph
and larvae of both orders are typically associ-
ated with riffle areas with fast flowing and
well-oxygenated habitats (Quesada-Alvarado
et al., 2021), as well as to litter and rocky sub-
strates (Baptista et al., 2001; Tamaris-Turizo
et al., 2007). They also have a bigger size than
other aquatic insects, are easy to recognize
in field samples and have a low number of
described genera and species in the Neotropics,
which makes the taxonomic identification pro-
cess more straightforward (Bravo et al., 2019;
Gutiérrez-Fonseca et al., 2015; Stark, 2014).
Both genera are considered sensitive to water
pollution and alteration (Luiza-Andrade et al.,
2022; Rico & Van den Brink, 2015). Due to
their ecological requirements, both can be used
as sentinels for environmental changes, mainly
because they require high concentrations of
dissolved oxygen and, as predators, they rely
on a diverse prey community (Rivera-Gasperín
et al., 2019). Therefore, it is necessary to gain
knowledge about their ecological requirements
in terms of simple hydraulic variables such
as water velocity and depth, which can help
establish baselines for climate change scenarios,
possible hydrological changes in watersheds, as
well as alterations in flow caused by hydroelec-
tric projects or water extraction.
Only recently has research begun to link
hydraulic variables with macroinvertebrate taxa
in this region (Quesada-Alvarado et al., 2020;
Quesada-Alvarado et al., 2021; Vázquez et al.,
2020; Chavarría-Pizarro el at., 2024). Our study
contributes to this effort following the approach
of Quesada-Alvarado (2021), by combining
expert panel input and field measurements to
develop preference curves for two vulnerable
native genera of aquatic insects, Anacroneuria
spp. (Plecoptera: Perlidae) and Corydalus spp.
(Megaloptera: Corydalidae), in a neotropical
Costa Rican river (Savegre). We further dem-
onstrate their application through a case study
modeling optimal environmental flow based on
ecohydraulic data and the habitat preferences
developed in this study. This approach is use-
ful for understanding the potential effects of
water derivation or exploitation in tropical and
temperate rivers.
MATERIALS AND METHODS
Study area and sampling: The study was
executed in the Savegre River watershed, located
in Costa Rica´s Pacific slope (9°34´-9°63´ N &
83°71´-84°07´ W; SMF1). The elevation in this
watershed ranges from 0 to 3 491 m a.s.l., and
the annual precipitation varies from 3 000 to 7
000 mm, with a dry season between December
and April, and a rainy season between May
and November (Espinoza-Cisneros, 2021). This
watershed comprises 600 km2, has an average
flow of 9.7 m3/s in the driest periods, and 98.3
m3/s in the peak of the rainy season (according
to data from this study).
The sampling was executed during the
rainy (May-November 2011) and dry seasons
(January-April 2012) with a total of fifteen field
campaigns at three sites along the Savegre river.
The sites have riverside forests on both margins
and are in a very humid premontane forest,
according to the Holdridge (1964) life zones
classification. Table 1 summarizes some general
characteristics of each site studied.
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At each site during each field campaign, a
50 m section of the river was used for the col-
lection of nymphs of Anacroneuria and larvae
of Corydalus. A total of 12 samples (12 repli-
cates per site) were collected monthly; these
samples were taken in different water current
velocities (assessed by means of a flowmeter
Flow Watch, FW450) to evaluate the distinct
velocity microhabitats offered by the river. At
each one of these microhabitats, depth was also
determined, and then a D-net (500-µm pore)
was introduced to sample macroinvertebrates.
The substrate was removed for 30 seconds to
collect the organisms in the net. The sample
material was deposited in white trays in situ and
the nymphs and larvae were separated and pre-
served in vials (8.0 x 3.0 cm) with ethanol 85 %.
Larger Corydalus larvae (≥ 4 cm) were not pre-
served, only measured in situ and returned to
the river once sampling was completed. In the
laboratory, the identification of Anacroneuria
species was carried out using Gutiérrez-Fon-
seca and Springer (2011), while for Corydalus,
Contreras and Harris (1998) was used. Size
(body length; mm) was also recorded with a
ruler for Corydalus because changes in habitat
selection have been documented according to
larval stage. At each microhabitat evaluated,
dissolved oxygen (mg/l), temperature (°C) and
distance to the river edge (m), were also mea-
sured with multiparameter equipment (Extech
DO700) and a measuring tape, respectively.
The collection of both larvae was carried out
under permit number 121-2011-SINAC grant-
ed by the National System of Conservation
Areas (SINAC) of the Ministry of Environment
and Energy (MINAE) of Costa Rica.
Habitat preferences: To elucidate the habi-
tat preferences, an expert panel was consulted
to determine velocities and depths at which
the nymphs of Anacroneuria and the larvae of
Corydalus are usually registered (Chaves et al.,
2006). With this information, a baseline was
generated for each order to compare later with
data acquired in the field.
The velocity and depth preferences were
classified following the fuzzy logic theory,
which assumes that complex systems are char-
acterized by imprecise transitions between dif-
ferent states of a system. Fuzzy logic allows the
system to have intermediate states since transi-
tions in ecology are gradual, not sharp (Noack
et al., 2013). Therefore, three categories of habi-
tat are generated according to the abundance
distributions of the organisms and following
the fuzzy logic theory to assign the preference:
Optimal, where the species is very likely to be
present as the habitat has the preferred condi-
tions of velocity or depth; Regular, where the
species can be found, but in lower abundances;
and Inadequate, where conditions of water
velocity and depth are not favorable and finding
the species is unlikely.
The fuzzy rules, as mentioned above, gen-
erate overlapping classes (fuzziness). However,
to classify any value of depth and current veloc-
ity into a specific category of habitat preference
(optimal, regular or inadequate), membership
functions are calculated. The membership
functions are usually represented by simple
trapezoidal or triangular functions that are
expressed from 0.0 to 1.0, where 0.0 indicates
that the values of the variable are not part of the
category, and 1.0 indicates that the values are
entirely part of the category (Noack et al., 2013).
Data Analysis: The water velocities mea-
sured in the field were classified in three cat-
egories: low (< 0.4 m/s), moderate (0.4 to 1 m/s)
Table 1
Location and characteristics of the study sites of Savegre River.
Site 1 (S1) Site 2 (S2) Site 3 (S3)
Location N 9º 27’431” - W 83º58’389” N 9º 27’707” - W 83º58’560” N 9°26’ 939” - W 83°59’531”
Elevation 250 m.a.s.l. 294 m.a.s.l. 112 m.a.s.l.
Substrate boulders and cobbles boulders and gravel boulders and gravel
Vegetation of the riverbank trees and shrubs trees, shrubs and grasses trees, shrubs and grasses
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and fast (> 1.01 m/s) using Extence et al. (1999);
while the depth was categorized in 10 cm
ranges. This was done to ensure replicability,
given the wide range of depths and based on
the premise that similar hydraulic conditions
can be maintained within each 10 cm interval.
We used PERMANOVA tests, using a
Bray-Curtis dissimilarity matrix and 999 per-
mutations, to determine differences in velocity
and depth preferences of Anacroneuria species
(PERMANOVA test did not apply to Corydalus,
as the larvae are difficult to identify at the spe-
cies level and there are no available taxonomic
keys for this purpose). The abundances of Ana-
croneuria and Corydalus were log-transformed
and a Shapiro-Wilk test was applied, due to the
non-normality of the data a Kruskall Wallis test
was performed, we calculated the effect size
(epsilon square) for the tests that were signifi-
cant. With the subsequent post hoc Dunns test
we determined if the abundance was different
between velocity categories or depth ranges. To
understand the relationship between velocity
and larval abundance, a Generalized Additive
Model (GAM) and a Linear Model (LM) were
first compared using their AIC values. The AIC
of the GAM was lower than that of the LM,
indicating nonlinearity in the data. However,
when analyzing the quantile plot of the GAM
variance residuals, residual overdispersion was
observed due to the number of zeros present
in the data. Due to the high frequency of zero
counts in the dataset, we fitted a zero-inflated
Poisson (ZIP) model. The model includes a
count component (Poisson) and a zero-inflated
component (binomial). The two models, ZIP
and GAM, were compared using the log-like-
lihood value.
We also conducted a log-linear regression
(LLR) to explore the relationship between the
distance from the riverbank and body size of
Corydalus larvae. We used LLR because we
observed an exponential decrease in Corydalus’
body size. This analysis was carried out only for
Corydalus since these larvae have the behav-
ior of burying themselves in the riverbank to
carry out their metamorphosis, so larvae could
change their habitat preference according to
their growth and larval maturation.
These analyses were performed with R
programming environment and language (R
Core Team, 2024), and using the package vegan
(Oksanen et al., 2020), mgcv (Wood, 2017) and
pscl (Jackman, 2020).
We did not use the environmental variables
(DO, pH and others) as predictors of habitat
selection, we used them as controls to deter-
mine whether the presence/absence was due to
water quality conditions or habitat quality. For
this reason, we did not apply statistical methods
to them.
Case Study, habitat availability: The
Costa Rican Institute of Electricity (ICE),
developed a holistic methodology and software
named “RANA” (Chaves et al., 2006; Chaves
et al., 2010; Laporte et al., 2006) to determine
appropriate environmental flows according to
socio-economic, hydrologic and biological data
(fish, macroinvertebrates and amphibian -flow
indicator species), with the aim of reducing the
impacts of dams on ecosystems and communi-
ties (Chaves et al., 2006; Chaves et al., 2010).
This methodology allows processing and data
analysis regarding the habitat preferences of
bioindicator species (in this study Anacroneuria
and Corydalus), to propose an environmental
flow that considers the ecological requirements
of the most sensitive species. RANA also pro-
duces a graphical visualization of the velocities
and depths of a river stretch, making it possible
to see what portions of the river stretch would
be restrictive to the flow indicator species (in
terms of current velocity or depth). We used the
RANA software to create the Anacroneuria and
Corydalus habitat availability models. For more
information about the RANA methodology, the
reader can access the Toolkit for environmental
flows at the United Nations Educational, Sci-
entific and Cultural Organization website (The
United Nations Educational, Scientific and Cul-
tural Organization, 2017).
Within RANA, the ecological require-
ments are expressed using the fuzzy logic
approach because it is impossible to establish
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precisely the range limits to optimal, regular
or inadequate conditions. For each variable
(current velocity and depth), a fuzzy number
for optimal, regular, or inadequate conditions
is defined. Each fuzzy number represents a set
of values of one variable. Each value in that set
(horizontal axis) has an associated degree of
membership that is expressed by a value in the
interval [0-1] (vertical axis), where 0 indicates
no membership and 1 indicates total member-
ship (Noack et al., 2013).
In the same way, a diffuse rule consists
of arguments combined by logical operators
which conform to a logic expression, and which
have an associated consequence, e.g. given that
A1 and A2 exist, then B is the consequence.
Therefore, in the construction of diffuse rules
some premises need to be established; in this
study, premises about velocity and depth will
generate different responses from optimal to
inadequate. The applicability is a non-binary
function, where the response is a degree of ful-
fillment (DOF) also expressed by a value in the
[0-1] interval. DOF is a value that corresponds
with the conditions given by the rule premises.
RANA methodology uses the minimum
combination to calculate the condition (opti-
mal, regular, or inadequate) for a specific point
in the river based on the associated category of
flow velocity and depth. The result corresponds
to the lower category obtained in evaluating the
value of each premise according to the fuzzy
numbers associated with them. For example,
if we evaluate flow velocity 0.1 m/s and depth
of 1 cm, the result is “inadequate” with DOF
= 1, because 0.1 m/s has a degree of member-
ship of 1 for inadequate, and 1 cm depth has a
degree of membership of 1 for optimal, then
the result condition is inadequate, which is the
lower category.
For this study, stretch S1 (Fig. 1) was used
to evaluate ecological constraints (habitat pref-
erences) for Anacroneuria and Corydalus. We
used the simple hydraulic model generated
by the hydraulic module of RANA software
to evaluate the fulfillment of the ecological
Fig. 1. Scheme of the stretch S1. A. Cross-sectional view. B. three-dimensional view. From Krasovskaia & Rodríguez (2007).
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requirements at this point. The hydraulic model
allows us to obtain simulations for different
water discharges. The simulations provide a set
of points in the stretch for which we have the
x, y, and z arbitrary coordinates (to generate
visualizations) and the flow velocity and depth
(to evaluate the habitat preferences).
RANA software evaluates the ecological
constraint for each simulated point in the site of
interest and produces a graphical visualization
of resulting conditions evaluation, using green
for each point that has optimal habitat for the
flow-indicator species, yellow for regular habi-
tat and red for inadequate habitats. The most
restrictive value (lowest category) is assigned
when flow velocity and depth evaluation are
combined for each point. For example, in each
case where flow has an inadequate condition,
but velocity has a regular or optimal condi-
tion, the simulated point in that site would be
assigned inadequate (red). Furthermore, RANA
calculates the amount of optimal, regular and
inadequate habitats for any user-given flow
included in the simulations.
RESULTS
Habitat preferences: The expert panel
(composed of six experienced aquatic entomol-
ogists) indicated that stoneflies and dobsonflies
are rheophiles with a preference for moderate
and high current velocities. They also consid-
ered Perlidae to be the family with the greatest
demand for high velocities. In terms of depth,
they indicated that Perlidae and Corydalidae
could live in shallow waters and up to a depth
of 1.8 m (Table 2).
For the Savegre river watershed, registered
variables in each study site (15 sampling cam-
paigns) are described in Table 3. The maximum
velocity recorded was obtained in a microhabi-
tat composed of rock and at a shallow depth,
allowing an increase in water velocity. The
maximum flow was recorded during the month
of October, which is the month with the highest
rainfall in Costa Rica´s Pacific slope, while the
minimum flow was recorded during the month
of March, which is the peak of the dry season.
In total, 194 macroinvertebrate samples
were processed and 179 individuals of four dif-
ferent species of the genus Anacroneuria were
collected (A. marca, A. benedettoi, A. holzenthali
and A. perplexa; Plecoptera: Perlidae). There
was no difference in the water velocity prefer-
ence between these four species (Permanova =
1.53; p = 0.77). All Anacroneuria nymphs were
found in habitats with velocities between 0.5
to 1.8 m/s. Moreover, as velocity increased, the
abundance of organisms increased, reaching a
peak between 0.6 and 1.2 m/s, and after that,
Table 2
Velocity and depth preferences of Perlidae and Corydalidae for Costa Rican rivers (Theoretical rule: according to the opinion
of the experts panel).
Classification
of habitat
Velocity (m/s); theoretical rule Depth (cm); theoretical rule
Anacroneuria Corydalus Anacroneuria Corydalus
Optimal 1.0-5.0 0.4-0.9 0.5-1.7 0.2-1.8
Regular 0.3-1.2 0.2-0.4; 0.8-1.2 0.1-0.05; 1.4-3.1 0.01-0.2; 1.4-3.2
Inadequate 0-0.5 0-0.5; 1.1-2.0 2.7-6 0.1-0.01; 2.7-6.0
Table 3
Summary information of the three study sites, throughout the 15 field campaigns. Savegre river, 2011-2012.
Site DO (mg/l) Temperature (°C) Flow (m3/s) Velocity (m/s) Depth (m)
Max Min Max Min Max Min Max Min Max Min
S1 10.3 8.3 24.3 20.6 92.4 9.7 2.13 0 0.93 0.07
S2 8.9 7.5 26.7 21.7 92.4 9.7 1.67 0 0.81 0.13
S3 9.3 7.7 27.9 18.7 98.3 9.9 1.3 0 0.51 0.17
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the abundance began to decrease at extreme
velocities (> 2 m/s; Fig. 2). A greater abundance
of stoneflies was recorded within the moderate
and fast velocity categories, in comparison with
low velocity (Kruskal-Walis = 15.12; p < 0.05;
effect size: 0.150). However, there was no dif-
ference between moderate and fast velocities
(Dunns test p > 0.05). According to the count
component of the zero-inflated Poisson model,
the expected abundance of Plecoptera increases
by approximately 4 9 % for each 1 m/s increase
in flow velocity (β = 0.3987, p = 0.019). The
intercept (β₀ = 0.6928) indicates that, in the
absence of flow (0 m/s), the expected abun-
dance is around two individuals, assuming the
observation is not a structural zero. Therefore,
increased water velocity is a factor modulating
the abundance of Plecoptera larvae.
It is noteworthy to mention that the DO
concentration slightly increased with each
velocity category (low: mean DO 8.6 ± 0.6
mg/L; moderate: mean DO 8.8 ± 0.7 mg/L; fast:
mean DO 9.1 ± 0.7 mg/L). A similar trend was
observed with the preferences of water depth.
Fig. 2. Fuzzy numbers used to determine optimal, regular and inadequate habitat for Anacroneuria nymphs (Plecoptera:
Perlidae) and Corydalus larvae (Megaloptera: Corydalidae) based on flow velocity in the Savegre River, Costa Rica.
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Two extremes were found: very shallow (< 10
cm) and deep waters (> 100 cm), both with
a reduced number of organisms, while the
greatest abundances of stoneflies were found
between 23 and 36 cm. However, there was
no difference between the depth categories
(Kruskal-Walis = 6.05; p > 0.83).
For Megaloptera larvae, a total of 97 indi-
viduals of the genus Corydalus (Corydalidae)
were collected. Larvae. were most abundant
and frequently found within moderate current
velocities (0.5-1.0 m/s), however, we did not find
a difference between velocity categories (Krus-
kal-Wallis = 0.87; p = 0.97; Fig 2). As well as for
Anacroneuria, there is an increase in abundance
with increasing current velocity, until it reaches
a maximum point between 0.6 and 0.8 m/s,
and then the abundance decreases. The count
model indicated a slight but significant nega-
tive effect of the velocity (β = -0.333, p = 0.075),
suggesting that abundance may decrease with
increasing velocity. The zero-inflation model
revealed a significant base probability of struc-
tural zeros (logit intercept = -1.600, p < 0.001),
corresponding to a 17 % probability of excess
zeros. This supports the presence of two pro-
cesses: one generating true absences and anoth-
er generating counts. In terms of depth, the
greatest abundance of Corydalus was recorded
between 16 and 29 cm, but without a differ-
ence with respect to the other depth categories
(Kruskal-Walis = 1.04; p = 0.31).
Also noteworthy is the fact that a regres-
sion analysis showed that most large-sized
Corydalus larvae were collected near the river-
side, while small larvae were found far from the
bank (R2= -0.64; p = 0.00) (Fig. 3).
With these preferences, the classification
of the velocity values into the optimal, regu-
lar and inadequate categories, was established.
However, preferences were not as clear for
depth and, therefore, the opinion of the panel
of experts (theoretical rule) was used for the
establishment of the categories (Table 4).
Case Study, habitat availability: Habitat
availability modeling was carried out using the
habitat classification shown in Table 4. Fig. 4
shows the percentile distribution of the opti-
mal, regular or inadequate habitats in Savegre
River for Anacroneuria, under different flow
scenarios (3, 8, 13, 18, 23 and 28 m3/s). The
different flows were modeled in a stretch of
75 m long, named S1. In this application, the
most favorable flows for Anacroneuria nymphs
are those between 8-18 m3/s, because those are
the ones that provide the highest percentage of
optimal habitat.
All modeled flows had a predominance
of inadequate and regular areas along the first
40 m, since the stretch morphology created
low current velocity and deep areas, which are
not suitable for Anacroneuria spp. nymphs.
Fig. 3. Relationship between the body size of Corydalus
larvae and their distance from the riparian forest. The blue
line is the Regression line, red lines are lower and upper
confidence limit (95 %).
Table 4
Perlidae and Corydalidae velocity and depth water habitat preference in the Savegre River.
Classification
of habitat
Velocity (m/s); empirical rule Depth (cm); theoretical rule
Anacroneuria Corydalus Anacroneuria Corydalus
Optimal 0.8-1.2 0.4-1.3 0.5-1.7 0.2-1.8
Regular 0.35-0.73; 1.04-1.80 0.1-0.6; 1.1-1.7 0.1-0.05; 1.4-3.1 0.01-0.2; 1.4-3.2
Inadequate 1.6-3.0 0.0-0.2; 1.6-3.0 2.7-6.0 0.1-0.01; 2.7-6.0
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
However, from 45 to 75 m, river morphol-
ogy changes, creating optimal habitats for the
nymphs, with rapids and riffles. Under a flow
of 3 m3/s, the river becomes narrower, and
consequently, the area of fast-flowing waters is
smaller. With higher flows, fast water areas are
increased and so is the availability of habitats
for Anacroneuria spp. nymphs. However, with
flows higher than 18 m3/s, the percentage of
optimal habitats slightly decreases, due to an
increase in depth. A flow of 13 m3/s can be
considered as the flow that benefits the larvae of
Anacroneuria spp., because it generates the set
of velocities and depths that the larvae prefer
Fig. 4. Above view of the modeled critical dam site of the Savegre River for different flow scenarios. The optimum (green),
regular (yellow) and inadequate (red) percentage of habitats for Anacroneuria spp. larvae are presented for each modeled flow
(The x-axis corresponds to the width and the y-axis to the length of the river stretch).
11
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
and, at the same time, the river widens in the
most turbulent section, generating a greater
supply of optimal habitat.
In the case of Corydalus larvae, a 13 m3/s
flow was also the best scenario, since it result-
ed in the highest percentage of optimal and
the lowest percentage of inadequate habitats.
As the water volume in the model increased (>
18 m3/s), the optimal area decreased. However,
as the flow increased, the sector of the mod-
eled river stretch increased its width, allowing
for higher availability of habitats and more
proximity to the riverbank (with ecological
advantages because of terrestrial-aquatic eco-
system interactions). In all modeled flows, the
percentage of inadequate habitat was lower
than the percentages of regular and optimal
habitats (Fig. 5).
Fig. 5. Above view of the modeled critical Dam site of the Río Savegre for different flow scenarios. The optimum (green),
regular (yellow) and inadequate (red) percentage of habitats for Corydalus spp. larvae are presented for each modeled flow
(The x-axis corresponds to the width and the y-axis to the length of the river stretch).
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
DISCUSSION
This research demonstrates the affinity of
Anacroneuria spp. and Corydalus spp. for mod-
erate and fast current velocities while also pre-
ferring low depths. Anacroneuria nymphs and
Corydalus larvae are known benthic rheophilic
organisms with the ability and anatomical traits
to colonize areas with fast and turbulent water.
They have a dorsoventrally compressed body
and hook nails to hold on firmly to the sub-
strate (Stark 2014). In this study, both Perli-
dae and Corydalidae, preferred habitats where
water velocity is considered moderate to strong
(0.6-1.8 m/s). It is noteworthy to mention that
such velocities influence the presence of certain
types of substrates, with dominance of rocks
and boulders (Leopold et al., 1992). Therefore,
microhabitat preferences related to substrate
choice or position of the insects in the benthic
zone (over or under rocks or in crevices) are
equally related to the velocity regime.
The abundance of both orders increased as
velocity increased until a maximum peak was
reached, thereafter, the abundance diminished
and at velocities higher than 2 m/s, none of
the orders were found. Waddle & Holmquist
(2011) found the same relation regarding the %
EPT (Plecoptera, Ephemeroptera and Trichop-
tera): the abundance of this group increased
asymptotically as velocity increased. However,
in that study, the modelled velocities were
relatively low, and they do not disregard the
fact that higher velocities might have changed
the upper end of the curves, as high velocities
are expected to decrease habitat suitability. In
North America, Gore et al. (2001), it deter-
mined that the greatest diversity of aquatic
macroinvertebrates was found at velocities
between 0.6 m/s and 0.7 m/s. The increased
abundance of other macroinvertebrates in this
velocity range might also play a part in the
presence of Anacroneuria and Corydalus, since
both genera are predators (Contreras & Har-
ris, 1998; Gutiérrez, 2010), however, it is clear
that preference for higher velocity is not solely
related to prey availability since many potential
preys inhabit very low velocities. In our study,
the maximum abundances of all four species of
Anacroneuria were registered at slightly higher
velocities (0.9 m/s).
With increasing velocity, an increment in
viscosity also occurs (Dodds, 2002), which
could make movement and displacement diffi-
cult for the organisms. This might be the reason
why aquatic insects are less frequently found in
extreme velocities. Gore et al. (2001) state that
although these organisms have the necessary
adaptations for living in sites with high veloci-
ties, they avoid environments where energy
loss exceeds the gain. On the other hand, at low
velocities (< 0.4 m/s) no Anacroneuria nymphs
and only a few Corydalus larvae were collected.
This is expected since these organisms depend
on high concentrations of DO, and higher
water velocities increase the concentration and
renovation of DO (Genkai-Kato et al., 2005;
Chapra et al., 2021), as also seen in this study,
with a slight increase in the DO concentration
with the velocity category.
Regarding neotropical rivers, similar
velocity preferences were observed when the
Threshold Indicator Taxa Analysis (TITAN)
was used in two studies: Hanh et al. (2018) in
Ecuador determined that the velocity threshold
for Corydalidae was between 0.2 m/s and 1.0
m/s, while Perlidae had a lower current veloc-
ity threshold between 0.4-0.6 m/s. Quesada-
Alvarado et al. (2020) in the Naranjo river
watershed, Costa Rica, determined that the
threshold for Corydalidae was between 0.3 m/s
and 1.5 m/s, while Perlidae had a threshold
between 0.5 m/s and 1.2 m/s.
Despite a preference for high velocities for
the genus Corydalus, the bigger individuals (≥
60 mm) were found in areas with low velocity (<
0.4 m/s), and even in waters with no current at
all. This behavior can be explained since move-
ment of bigger individuals is more restricted by
density, viscosity and velocity of water (Sagnes
et al., 2008), but most importantly, larvae from
Corydalus pupate in terrestrial habitats, there-
fore, when they are ready to transition into
adults, they approach the riverbanks (Cover
& Resh, 2008). On the contrary, smaller larvae
are found in areas with higher velocities and
13
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
further away from the riverbanks, possibly to
protect themselves from predators and to pre-
date among other organisms, which are more
abundant in higher velocity habitats. Hence,
habitat selection of Corydalus depends on their
larval stage, and we recommend separating
Corydalus sizes for habitat modeling, similar
to what is done with fish (e.g. Yao et al., 2018).
In general, larvae and nymphs from the
two studied orders showed a higher dependen-
cy on velocity than water depth, since a wider
habitat selection range was observed for depth.
These results agree with those exposed by
Waddle & Holmquist (2011), who affirm that
larvae select their microhabitat as a function
of velocity and substrate, and only up to some
extent according to water depth. In our study,
in the Savegre river, both Anacroneuria and
Corydalus preferred water depths between 16 to
38 cm, similar to the results obtained by Gore
et al. (2001) where larvae were most frequently
found between depths of 20 to 25 cm. Further-
more, Shearer et al. (2015) recorded the great-
est abundance of aquatic macroinvertebrates
at depths less than 0.50 m, and Kim & Choi
(2018) registered the same pattern where shal-
low depths were the most preferred. However,
according to Alonso (2009), organisms can
colonize at water depths of up to 1.5 m in areas
of fast water current. This statement could not
be confirmed in the present study, because for
personal safety reasons, sampling in the Savegre
river was not executed at depths greater than 1
m. Therefore, we cannot conclude about micro-
habitat preferences at such depths. This is why
we decided to model the depth habitat prefer-
ence using only the information provided by
the panel of experts and the literature (Shearer
et al., 2015, Kim & Choi, 2018).
We conclude that, due to their narrow
range of optimal velocities and high ecologi-
cal requirements, Anacroneuria larvae can be
considered as an umbrella species if they are
to be used in habitat availability modeling for
flow studies. Eco-hydraulic models, in turn, are
a tool that allows us to observe how changes
in water volume can favor or reduce available
habitat for aquatic insect larvae.
Eco-hydraulic models show one of the
practical applications that can benefit from
information on aquatic insect habitat prefer-
ences and flow variations. We demonstrate how
watershed management can take advantage
of field-specific biological data to technically
support a regulatory decision, such as envi-
ronmental flow. For example, in Costa Rica,
legal regulations recommend the establishment
of an environmental flow that represents 10
% of the mean annual flow. For the Savegre
river this would represent ~ 8 m3/s. However,
with the preference information gathered by
this study for Anacroneuria and Corydalus,
and the habitat models created for site S1, we
estimated that a flow of 13 m3/s generates the
greatest amount of optimal habitat for both
larvae. Therefore, in the face of the possible use
of the water resource, it is necessary to consider
maintaining flows that provide the greatest
amount of optimal habitat needed by the spe-
cies that inhabit the rapids, since rapids and
waterfalls are the first habitats to be damaged by
a decrease in flow (Cortes et al., 2002).
This work contributes to expanding
knowledge on aquatic insects’ habitat prefer-
ences, which are typically scarce or nonexistent
in tropical regions. Similarly, it is a valuable
contribution to the field of ecohydraulics in
the tropics, as most studies originate from tem-
perate zones (Vázquez et al., 2020). Because
Anacroneuria nymphs respond positively to
increased water velocity and Corydalus lar-
vae change their habitat preference according
to their body size (with dependence on dis-
tance from the bank edge), it is necessary to
take into account aquatic macroinvertebrates
as bioindicators of flow to maintain ecosystem
health, especially when there are changes in the
hydraulic and hydrological regimes. The differ-
ent assemblages of aquatic macroinvertebrates
that use this type of habitat could be at risk
when there are hydraulic changes. For future
work on habitat preferences, methodologies
that allow sampling of the rapid zones at greater
depths (> 1m) should be implemented because
in the rainy season the supply of depths and
velocities of the river increases, and the insects
14 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73: e2025450, enero-diciembre 2025 (Publicado Nov. 03, 2025)
may prefer or use greater depths. This would
represent a change in the dynamics of prefer-
ence which ecohydraulic models are ignoring.
Finally, field studies on habitat preferences
involving native organisms are highly recom-
mended for modeling habitats in watershed
management and environmental flow.
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 sec-
tion. A signed document has been filed in the
journal archives.
See supplementary material
a65v73n1-suppl. 1
ACKNOWLEDGMENTS
This study was financed by the Project
Desarrollo de metodología para estimar caudal
ambiental fase 2.” UEN Projects and Associ-
ated Services of the Instituto Costarricense de
Electricidad. We thank Kimberly Rojas Ávila
and Julissa Romero for their support during
sampling. Furthermore, ICE staff collaborated
during the sampling and analysis of ecohy-
draulic conditions. We deeply thank Alexia
Pacheco for her most valuable comments on
this manuscript.
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