1
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
Does mesofaunal abundance and composition influence
mangrove leaf litter decomposition?
Margarita Loría-Naranjo1,2*; https://orcid.org/0000-0003-4396-7388
Jeffrey A. Sibaja-Cordero1,2; https://orcid.org/0000-0001-5323-356X
Jorge Cortés1,2; https://orcid.org/0000-0001-7004-8649
1. Centro de Investigación en Ciencias del Mar y Limnología (CIMAR) Ciudad de la Investigación, Universidad de Costa
Rica, San Pedro; maggie.loria@gmail.com; jorge.cortes@ucr.ac.cr; jeffrey.sibaja@ucr.ac.cr
2. Escuela de Biología, Universidad de Costa Rica, San Pedro.
Received 04-IX-2024. Corrected 18-XI-2024. Accepted 05-II-2025.
ABSTRACT
Introduction: Litter decomposition in mangrove forest is a process in which organic matter produced as leaves
in the trees is later transferred to the sediment. Several invertebrates participate in the fragmentation of leaves,
and they might have a great impact in the later stages of decomposition of mangrove leaves.
Objective: The study aims to characterize mesofauna inhabiting leaf litter of Rhizophora racemosa, in the South
Pacific of Costa Rica during the dry and rainy season.
Methods: Five pre-weighted litter bag samples were set out during each season. Each sample consisted of
specimens adhered to the leaves after 0, 15, 30, 60, 90 and 120 days, from two sites in Térraba-Sierpe National
Wetland. The samples were washed in a sieve (0.5 mm) and the organisms were separated and identified. Taxa
were assigned to trophic groups to evaluate their influence in the decomposition of the leaves. Additionally, leaf
detritus samples retained in the sieve were dried in an oven at 70 °C to calculate the remaining vegetal matter
for each site and season.
Results: The most abundant taxa were: Bivalvia (26 %), Nematoda (19.45 %), Gastropoda (14.78 %), Nemertea
(14.61 %), and Ostracoda (8.20 %). Based on the trophic classification of the mesofauna found, it is expected that
most of them are indirect consumers of R. racemosa litter. Correlation analysis shows that, depending on the site
and the season, the mass loss of leaf litter was greater with a greater mesofauna abundance. A combined influ-
ence of water salinity, temperature and dissolved oxygen explains 25 % of the changes observed in the mesofauna
found in leaf litter samples throughout the sampling period.
Conclusions: Leaf litter decomposition process evidences the presence of an abundant and diverse mesofauna
community. The abundance of this mesofauna seems to have a positive influence on the decomposition of the
leaves. It is a vital issue to comprehend the role of mesofauna as potential consumers of mangrove leaf litter, in
order to conservate biodiversity in this ecosystem.
Key words: Rhizophora racemosa; estuarine invertebrates; feeding guilds; nutrient recycling.
RESUMEN
¿La abundancia y composición de la mesofauna influye en la descomposición
de la hojarasca de manglar?
Introducción: La descomposición de hojarasca del manglar es un proceso donde la materia orgánica producida
como hojas se transfiere posteriormente al sedimento. Varios invertebrados participan en la fragmentación y
posiblemente tienen impacto en etapas posteriores de descomposición de las hojas.
https://doi.org/10.15517/rev.biol.trop..v73iS1.64043
SUPPLEMENT
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
INTRODUCTION
Litter decomposition is a process in which
organic matter produced by mangrove forests
is transferred to the sediment. This process
involves at least four basic steps: 1) the removal
of soluble compounds from leaves by water, 2)
colonization by microorganisms, 3) consump-
tion of plant matter by herbivores, and 4) the
combined action of physical forces such as
water movement, deposition, and sediment
supply (Ashton et al., 1999; Dewiyanti, 2010;
Kathiresan & Bingham, 2001; Palit et al., 2022;
Swift et al., 1979). To study litter decomposi-
tion in mangroves, it is important to consider
factors such as dissolved oxygen in sediments,
soil salinity, forest type, and the composition
of litter material (Galeano et al., 2010; Lugo &
Snedaker, 1974; Matheri et al., 2024; Singh et
al., 1993; Twilley & Day, 1999).
Several invertebrates play a crucial role
in this process, especially in the later stages of
decomposition of mangrove leaves. This group
of organisms is called mesofauna, which ranges
in size from 0.2 mm to 2 mm (Matheri et al.,
2024). Mesofauna includes annelids, peracari-
dans, microarthropods, mollusks, nematodes,
gastrotrichs, and others (Dittmann, 2001; Gray
& Elliott, 2009; Maggenti & Maggenti, 2005).
When considering other functional groups,
such as microbes and macrofauna, it has been
found that mesofauna contributes between 23
% and 27 % to the overall litter decomposition
process in mangroves (Islam et al., 2024).
DCroz et al. (1989) studied the mesofauna
community associated with the leaf litter of
Rhizophora mangle during the decomposition
process in Panama Bay. In Brazil, de Oliveira et
al. (2011) identified and quantified the benthic
macrofauna present during the leaf decomposi-
tion of R. mangle and Laguncularia racemosa.
Gladstone-Gallagher (2012) examined the ben-
thic community associated with the detritus of
Avicennia marina in two sites of a temperate
mangrove forest in New Zealand. When meso-
fauna is excluded, the rate of litter decomposi-
tion can be reduced by up to 50 %, suggesting
that these organisms play a significant role in
explaining patterns of leaf litter decomposition
(Powers et al., 2009). Therefore, the abundance
and composition of mesofauna serve as bioin-
dicators of the environmental quality of man-
grove systems (Xiping et al., 2015).
In Panama, the most abundant meso-
fauna groups found in litter samples of R.
mangle included polychaetes, bivalves, gas-
tropods, crabs, and shrimps (DCroz et al.,
Objetivo: Este estudio tiene como objetivo caracterizar la mesofauna que habita la hojarasca de Rhizophora race-
mosa, en el Pacífico Sur de Costa Rica, durante las épocas seca y lluviosa.
Métodos: Se colocaron cinco bolsas de hojas pre-pesadas durante cada época. Cada conjunto se usó para estu-
diar los especímenes adheridos a las hojas después de 0, 15, 30, 60, 90 y 120 días, en dos sitios del Humedal
Nacional Térraba-Sierpe. Las muestras se lavaron en un tamiz (0.5 mm) y los organismos se separaron e identi-
ficaron. Los taxones se asignaron a grupos tróficos para evaluar su influencia en la descomposición de las hojas.
Adicionalmente, las muestras de detritos de hojas retenidas en el tamiz se secaron a 70 °C para calcular la materia
vegetal remanente por sitio y época.
Resultados: Los taxones más abundantes fueron: Bivalvia (26 %), Nematoda (19.45 %), Gastropoda (14.78 %),
Nemertea (14.61 %), and Ostracoda (8.20 %). Según la clasificación trófica de la mesofauna, se encontró que la
mayoría eran consumidores indirectos de la hojarasca. El análisis de correlación mostró que, dependiendo del
sitio y la estación, la pérdida de masa fue mayor con una mayor cantidad de mesofauna. Una influencia com-
binada de la salinidad, temperatura y oxígeno disuelto del agua explica el 25 % de los cambios observados en la
mesofauna de la hojarasca a lo largo del tiempo estudiado.
Conclusiones: Una abundante y diversa comunidad de mesofauna participa en el proceso de descomposición
de la hojarasca en el manglar de Térraba-Sierpe. La abundancia de esta mesofauna aparenta tener una influencia
positiva en la descomposición de las hojas. La comprensión del papel de esta mesofauna como consumidora de la
hojarasca es vital para la conservación de la biodiversidad en este ecosistema.
Palabras clave: Rhizophora racemosa; invertebrados estuarinos; gremios alimenticios; reciclaje de nutrientes.
3
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
1989). In a mangrove forest in the State of
Bahía, Brazil, annelids (Oligochaeta and Poly-
chaeta) were the most abundant organisms
during the decomposition of R. mangle leaves
(de Oliveira et al., 2011).
In Costa Rica, Díaz-Navarro (1993) stud-
ied the decomposition of Rhizophora sp. leaves
at Punta Morales in the Gulf of Nicoya. Recent-
ly, Loría-Naranjo et al. (2018) researched the
decomposition process of Rhizophora racemosa
leaf litter in the Térraba-Sierpe National Wet-
land (TSNW). The present study aims to deter-
mine the variation in mesofauna abundance
and composition at different sites, seasons, and
stages of leaf litter decomposition for the man-
grove tree R. racemosa.
MATERIALS AND METHODS
The present study was conducted in the
Térraba-Sierpe National Wetland (TSNW),
which is the largest mangrove forest in Costa
Rica, covering an area of 120.33 km² (Quesada-
Alpízar et al., 2006). Rhizophora racemosa is
the most common mangrove species along
the Pacific coast of Costa Rica (Jiménez, 1994;
Silva-Benavides, 2009). This species typically
inhabits the inner regions of the forest (Bar-
rantes-Leiva & Cerdas-Salas, 2015; Jiménez,
1988; Jiménez, 1994) and is the most abundant
mangrove species within TSNW, occupying an
area of 76.70 km² (Barrantes-Leiva & Cerdas-
Salas, 2015).
Study Site: TSNW is in Osa, Puntarenas,
Costa Rica, at coordinates 8°47’–9°03’ N and
83°29’–83°38’ W. The area is nourished by
two major rivers: the Grande de Térraba and
the Sierpe. TSNW encompasses approximately
40 % of Costa Ricas total mangrove cover-
age (Windevoxhel-Lora, 1998). In 2013, the
annual precipitation was recorded at 3 301 mm,
with a mean atmospheric temperature of 26.6
°C (Instituto Meteorológico Nacional [IMN],
2014). The Talamanca Cordillera blocks the
trade winds, leading to an extended rainy sea-
son and a limited dry season (Jiménez, 1999).
Two sampling sites within TSNW were selected:
Estero Caballo (Site 1, located at 8°53’11.11” N
and 83°34’2.23” W) in the Sierpe basin, and
Boca Nueva (Site 2, located at 8°59’16.46” N
and 83°37’30.28” W) in the Grande de Térraba
basin. At both sites, R. racemosa was the pre-
dominant species found along the riverbanks.
Methodology: Ten field trips were con-
ducted during 2013, five during the dry season
(from January to April), and five during the
rainy season (from July to November). This
resulted in two experimental periods. Each
experiment period consisted of litter decompo-
sition data after 0, 15, 30, 60, 90, and 120 days.
At each site, senescent leaves of R. rac-
emosa were collected from the forest floor. Only
leaves with a yellowish color but no evidence
of any physical damage (holes or bites) were
collected, to guarantee a similar initial level of
decay. Litter bags of 10 x 20 cm and a mesh size
of 1 mm (Roberts et al., 1987) were used. For
both sites (Estero Caballo and Boca Nueva), 50
litter bags with 10 g of litter were attached to
roots or trunks, so that they were exposed to
wave action and different environmental condi-
tions depending on the season. Five litter bags
from each site were retrieved on each field trip.
In the laboratory, the samples contained in
the bags were washed using a sieve with a pore
size of 0.5 mm. The organisms retained into the
sieve were fixed in 70 % ethanol. The organisms
adhered to five leaf litter samples from each
site were quantified and identified. For this
purpose, a stereoscope along with taxonomic
keys (de León-González, 2009; Giere, 1993;
Glockner-Fagetti, 2009; Glockner-Fagetti &
Egremi-Valdéz, 2009; Hernández-Alcántara &
Solís-Weiss, 2009; Roldán, 1988; Salazar-Vallejo
& Rizo, 2009) were used. Individuals were
identified at the level of phylum, class, or order,
depending on their characteristics and the level
of detail achievable with the stereoscope. This
methodology provided a chronological record
of the types of fauna colonizing the samples
over various decomposition periods (0, 15,
30, 60, 90, and 120 days). Additionally, the
taxa were classified according to the different
4Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
trophic groups they belong to, allowing to eval-
uate their influence on leaf decomposition.
Environmental data, including salinity
(UPS), temperature (°C), and dissolved oxygen
(mg O2/l), were recorded at both sites using a
multiparametric sensor during each field trip.
Precipitation (mm) and atmospheric tempera-
ture (°C) data were obtained from the closest
meteorological station in Palmar Norte, Pun-
tarenas (IMN, 2014).
Leaf mass loss: To estimate mass loss,
dry leaf litter samples were analyzed. The leaf
detritus collected in the sieve was dried in an
oven at 70° C until it reached a constant weight.
The remaining mass of leaves after 15, 30, 60,
90, and 120 days of decomposition was used to
determine the Spearman correlation with total
mesofauna abundance for each site and season.
Mesofauna community: To assess the
similarity in the composition of taxa that colo-
nized the samples, taxa abundance data were
transformed using log (x + 1) and the Bray-
Curtis similarity index was applied. To visual-
ize differences in taxa composition between
sample types (particularly those collected from
Site 1 or Site 2, during dry or rainy season), a
Multidimensional Scaling analysis (MDS) of
the pooled samples was performed, consider-
ing decomposition time, site and season, using
PRIMER 6.0.
Two-way similarity analysis (ANOSIM)
were conducted on two occasions with the
sample matrix (Clarke & Warwick, 1994) in
PAST software. The first analysis included the
time factor (15, 30, 60, 90 and 120 days) and
the site factor (Estero Caballo or Boca Nueva).
The second analysis considered the time fac-
tor alongside season (dry or rainy). An R
value of ANOSIM with P < 0.05 indicated the
degree of differentiation between levels of the
analyzed factors. This value ranges from 0 to
1, where 1 represents a complete difference in
taxa composition (Clarke & Warwick, 1994).
The probabilities obtained in these tests were
corrected using Bonferroni method, as the
same data matrix was utilized by both analyzes.
In addition, a posteriori comparisons were
performed to determine the R values between
sampling dates for each site according to the
season (Clarke & Warwick, 1994). To identify
which taxa contributed most to the difference
observed between the levels of each factor (site,
season, and time), three SIMPER tests were
conducted in the PAST software. Similar ANO-
SIM and SIMPER tests were also executed for
the trophic groups matrix of the invertebrates.
A BIO-ENV analysis was conducted to
identify the environmental variables—such as
water salinity, dissolved oxygen in water, water
temperature, environmental temperature, and
precipitation—that best explain the changes in
taxa composition under each sampling condi-
tion (Clarke & Warwick, 1994). Additionally,
Mantel tests were performed to assess whether
there is a correlation between each individual
environmental variable and the composition of
the taxa.
RESULTS
Mesofauna abundance: A total of 17 875
individuals were identified and classified in 46
taxa of mesofauna. The most abundant taxa
included Bivalvia (4 648 ind.), Nematoda (3 478
ind.), Gastropoda (2 642 ind.), Nemertea (2 612
ind.), and Ostracoda (1 466 ind.) (Fig. 1). A
complete list of organisms found in each sample
can be found in Appendix 1.
The total abundance of mesofauna was not
associated with the proportion of remaining
leaf litter mass in Site 1 during the dry season
(r = -0.3, P = 0.520) or in Site 2 during the rainy
season (r = -0.66, P = 0.136). However, in Site
1 during the rainy season (r = -0.94, P = 0.003)
and in Site 2 during the dry season (r = -0.94,
P = 0.003), there was a significant relationship
between mesofauna abundance and the propor-
tional loss of mass: a greater number of organ-
isms in the samples corresponded to a greater
loss of mass over the decomposition period.
Taxonomic composition: The mesofauna
composition varied significantly across sites,
showing a 41 % difference (ANOSIM, R = 0.41,
5
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
P < 0.001). Additionally, the composition dif-
fered by season (dry or rainy), with a 16 %
variation noted (ANOSIM, R = 0.16, P < 0.001).
Samples from Site 1 in both seasons exhibited
greater similarity than those from Site 2. Nota-
bly, the mesofauna composition at Site 2 during
the rainy season was the most distinct when
compared to all other treatments (Fig. 2).
Significant differences in taxa composi-
tion, ranging from 14 % to 26 %, were observed
throughout the leaf litter decomposition pro-
cess (ANOSIM, R = 0.14 - 0.26, P < 0.001).
During the dry season at Site 1, although the
dates appeared relatively clustered on the MDS
plot (Fig. 2), significant differences in taxa
composition were found between different days
(P < 0.05), with a complete 100 % difference
observed between day 30 and day 120. In con-
trast, Site 2 exhibited a high level of differentia-
tion in mesofauna composition between days
during the dry season (Fig. 2).
Similarly, although the dates of the rainy
season at Site 1 were closer to one another com-
pared to other sites, all a posteriori comparisons
indicated significant changes in taxa composi-
tion. Conversely, at Site 2, only the comparisons
between days 90 and 120 showed significant
differences in mesofauna composition when
compared to earlier days (Fig. 2).
According to the SIMPER analysis, the taxa
that primarily contributed to the differences in
decomposition time and seasons were Bivalvia,
Nematoda, Gastropoda, Ostracoda, and Gam-
maridea. The populations of Gastropoda and
Gammaridea peaked at 60 days, while Nema-
toda reached its peak at 90 days. Bivalvia and
Ostracoda presented their highest abundance at
120 days (Table 1). Furthermore, Gastropoda,
Nematoda, Bivalvia, Ostracoda, and Harpacti-
coida were found to be more abundant in Site
Fig. 2. Multidimensional Scaling analysis (MDS),
showing the distance of similarity (Bray-Curtis) based on
composition of mesofauna (pooled samples) between days
of decomposition process, according to site and season.
TSNW, Puntarenas, Costa Rica.
Fig. 1. Number of individuals from the most abundant taxa found in leaf litter samples according to decomposition time and
season. TSNW, Puntarenas, Costa Rica.
6Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
1 compared to Site 2 (Table 2). Additionally,
Bivalvia and Ostracoda were more prevalent
during the dry season, whereas Nematoda,
Gastropoda, and Gammaridea were more com-
mon during the rainy season (Table 3).
Composition by Trophic Groups: The
classification of taxa into different trophic
groups is displayed in Table 4. This classifica-
tion includes multiple trophic groups for the
same taxa to ensure that all potential repre-
sentatives are considered. The differentiation
in the composition of trophic groups between
sites was found to be 37 % (ANOSIM, R = 0.37,
P < 0.001). Additionally, the differentiation
in trophic group composition between the
dry and rainy seasons was 12 % (R = 0.12, P
< 0.001). In terms of decomposition time, the
differentiation ranged from 10 % to 18 % (R =
0.10-0.18, P < 0.001). Notably, the most signifi-
cant differences in the composition of trophic
groups occurred between the different sites.
The most abundant taxa, which were the
same that mainly contributed to differenc-
es for decomposition time, belonged to the
trophic groups: suspensor feeders (Bivalvia),
herbivore-carnivore (Nemertea, Gastropoda),
detritivore-herbivore (Ostracoda, Harpacticoi-
da, Gammaridea), and detritivore-herbivore-
carnivore-omnivore (Nematoda), respectively
Table 1
SIMPER test for the time factor, showing the five most influential taxa for composition differences and their mean abundance
between sampling decomposition days. TSNW, Puntarenas, Costa Rica.
Taxa Contribution to
difference (%)
Mean abundance
(15 days)
Mean abundance
(30 days)
Mean abundance
(60 days)
Mean abundance
(90 days)
Mean abundance
(120 days)
Bivalvia 10.68 5.1 13.6 57.3 46.2 110
Nematoda 9.73 5.5 10.9 21.4 79 57.1
Gastropoda 9.31 11.7 42.1 56 7.6 14.8
Ostracoda 7.11 2.95 6.2 4.35 6 53.8
Gammaridea 5.62 1.1 5.1 11.3 1.2 3.55
Table 3
SIMPER test for season factor, showing the five most influential taxa for composition differences and their mean abundance
between sampling decomposition days. TSNW, Puntarenas, Costa Rica.
Taxa Contribution to difference (%) Mean abundance for dry season Mean abundance for rainy season
Bivalvia 10.52 60.2 32.8
Nematoda 9.49 22.8 46.8
Gastropoda 9.38 21.8 31
Ostracoda 6.91 22.8 6.48
Gammaridea 5.52 1.98 6.94
Table 2
SIMPER test for site factor, showing the five most influential taxa for composition differences and their mean abundance
between sites and seasons. TSNW, Puntarenas, Costa Rica.
Taxa Contribution to difference (%) Mean abundance for Site 1 Mean abundance for Site 2
Gastropoda 11.69 51 1.84
Nematoda 10.7 63.7 5.86
Bivalvia 10.38 54 39
Ostracoda 7.32 11.3 18
Harparticoida 6.17 6.42 0.8
7
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
(Table 5). The herbivore-carnivore and suspen-
sor feeders, were the groups that contributed
the most to the differences of mesofaunal com-
position for site and season (Table 6).
Association with environmental vari-
ables: Water salinity and precipitation were
notably different between seasons (Table 7).
Precipitation (Mantel, P = 0.610) and envi-
ronmental temperature (Mantel, P = 0.090) do
not influence mesofauna composition. Indi-
vidually, salinity (Mantel, P = 0.134), water
temperature (Mantel, P = 0.988) and dissolved
oxygen in water (Mantel, P = 0.331) fail to
explain the changes observed in mesofaunal
composition. However, together these three
variables can contribute in part to explain the
changes observed in mesofauna composition
in litter samples over time (BIO-ENV, r = 0.25,
P = 0.039).
Table 4
Classification by trophic groups for the taxa found in the samples and their mean total abundance according to season and
site. TSNW, Puntarenas, Costa Rica.
Site Season
TotalDry Rainy
Trophic group Taxa 1 2 1 2
Carnivore Hydrozoa; Platyhelminthes; Polychaeta:
Chrysopetallidae, Nereididae, Phyllodocidae,
Polynoidae, Syllidae, Halacaridae; Diptera:
Ceratopogonidae; Chordata: Gobiidae
214 213 291 84 802
Detritivore Kinorhyncha; Oligochaeta; Sipuncula; Polychaeta:
Ampharetidae, Maldanidae, Orbiniidae;
Amphipoda: Hyperiidea; Decapoda: Anomura;
Diptera: Chironomidae
54 51 109 10 224
Herbivore Tanaidacea; Insecta: Collembola, Lepidoptera 134 17 205 83 439
Omnivore Cnidaria: Actinaria; Decapoda: Alpheidae;
Diptera: Dolichopododidae
2 4 11 5 22
Sediment feeder Polychaeta: Capitellidae, Cirratulidae, Paraonidae 24 16 8 0 48
Suspensor feeder Polychaeta: Chaetopteridae; Cirripedia; Bivalvia 1 124 1 904 1 592 164 4 784
Detritivore, Herbivore Foraminifera; Ostracoda; Copepoda:
Harpacticoida; Amphipoda: Gammaroidea;
Insecta: Hydrophilidae
562 1 058 969 67 2 656
Herbivore, Carnivore Nemertea; Gastropoda 1 199 89 3 961 55 254
Herbivore, Omnivore Isopoda; Decapoda: Brachyura 8 19 51 63 141
Detritivore, Herbivorous, Carnivore, Omnivore Nematoda 932 207 2 253 86 3 478
Detritivore, Carnivore, Omnivore Polychaeta: Pilargidae 10001
Table 5
SIMPER test for time factor, showing the five most influential trophic groups for the difference composition and their mean
abundance between sampling dates. TSNW, Puntarenas, Costa Rica.
Trophic group
Difference
contribution
(%)
Mean
Abundance
(15 days)
Mean
Abundance
(30 days)
Mean
Abundance
(60 days)
Mean
Abundance
(90 days)
Mean
Abundance
(120 days)
Suspensor feeder 26.76 5.65 15.2 60 47.1 111
Herbivore, Carnivore 24.35 11.7 42.1 57 105 47
Detritivore, Herbivore, Carnivore, Omnivore 18.05 5.5 10.9 21.4 79 57.1
Detritivore, Herbivore 15.17 7.9 16.2 24.9 16.5 67.3
Carnivore 6.33 7.75 5.6 7.85 6.15 12.8
8Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
DISCUSSION
Correlations done in this investigation
show that with a greater amount of mesofauna
in the litter, the mass losses are greater, depend-
ing on the site and the season. However, a more
specific identification of mesofauna must find
another possible relation for the treatments that
did not relate to mesofauna abundance (as in
the case of Site 1 during the dry season and Site
2 during the rainy season). Melo et al. (2013)
stated that mesofauna abundance and taxa
diversity could depend on freshwater discharge
from river flows, and, in this investigation, the
biggest difference in mesofaunal abundance
and composition was between sites, each one
located in a different river basin (Sierpe and
Grande de Térraba).
Regions of TSNW located in the Sierpe
basin, such as Estero Caballo (Site 1) tend to
have a major marine influence than regions
located in Grande de Térraba, such as Boca
Nueva (Site 2) (Picado, 2016). A combined
action of water salinity, water temperature, and
dissolved oxygen of water is necessary to achieve
25 % of the changes observed in the composi-
tion of mesofauna found in leaf litter samples
throughout the sampling time, and this fact
highlights a synergistic effect of these environ-
mental variables on mesofauna composition.
Other environmental variables not considered
in this study, such as flood frequency, type of
sediment, or microbial activity, can explain part
of the changes observed in mesofauna commu-
nity composition (Palit et al., 2022).
From the total number of individuals
quantified and identified throughout this study,
microbivalves were found to be the most abun-
dant taxa in juvenile or adult forms. Although
bivalves can be found adhering to the surface
of the leaves (Hogarth, 2007), they feed mainly
on suspended matter (Brusca & Brusca, 2005;
Hogarth, 2007). Water characteristics such as
salinity, dissolved oxygen, and temperature
influence the presence of bivalves and other
filter feeders on the mangrove litter (Vereycken
& Aldridge, 2023). The degradation of man-
grove leaves produces particulate organic mat-
ter, which serves as a crucial food source for
these filter feeders (Wang et al., 2015).
Table 6
SIMPER test for site and season factor, showing the five most influence trophic groups for the difference composition and
their mean abundance between sites and seasons. TSNW, Puntarenas, Costa Rica.
Trophic groups Difference
contribution (%)
Mean abundance per site Difference
contribution (%)
Mean abundance per season
Site 1 Site 2 Dry season Rainy season
Herbivore, Carnivore 30.91 103 1.88 24.83 25.8 79.3
Suspensor feeder 22.96 54.3 41.4 26.53 60.6 35.1
Detritivore, Herbivore,
Carnivore, Omnivore 19.71 63.7 5.86 17.64 22.8 46.8
Detritivore, Herbivore 14.41 30.6 22.5 15.15 32.4 20.7
Carnivore 4.95 10.1 5.94 6.40 8.54 7.5
Table 7
Mean value and standard deviation for the environmental parameters. TSNW, Puntarenas, Costa Rica.
Season Site Dissolved oxygen
(mg/l)
Water salinity
(ppm)
Water temperature
(ºC)
Precipitation
(mm)
Environmental
temperature (ºC)
Dry 14.46 ± 0.84 22.76 ± 2.29 29.83 ± 0.17 4.64 ± 1.08 26.72 ± 0.95
26.81 ± 0.96 27.39 ± 3.32 30.08 ± 0.33 4.64 ± 1.08 26.72 ± 0.95
Rainy 14.80 ± 0.29 9.62 ± 3.74 28.68 ± 0.76 11.01 ± 0.95 26.16 ± 0.14
26.84 ± 1.65 2.41 ± 1.85 27.10 ± 0.30 11.01 ± 0.95 26.16 ± 0.14
9
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
The abundance of mesofauna in leaf litter
samples was linked to mass loss, and conse-
quently, to leaf litter decomposition at Site 1
during the rainy season and at Site 2 during the
dry season. This indicates that the decomposi-
tion of leaf litter could be influenced by the
presence of mesofauna, which varies according
to the specific conditions of each site and sea-
son. These findings are consistent with Powers
et al. (2009), who found that higher decompo-
sition rates occurred in leaf litter samples that
contained mesofauna.
In general, litter degradation tends to pro-
ceed more rapidly in tropical regions compared
to temperate environments. This pattern has
been attributed to lower biological activity from
invertebrates in temperate mangroves (DCroz
et al., 1989; Gladstone-Gallagher, 2012). The
absence of mesofauna can reduce the decom-
position rate by as much as fifty percent (Pow-
ers et al., 2009). For the species R. racemosa in
TSNW, Loría-Naranjo et al. (2018) reported
a leaf litter decomposition rate of k = 0.012,
which aligns with other values found in tropical
regions and is relatively fast (Kulal et al., 2008).
However, it is important to note that excluding
certain functional groups of fauna using litter
mesh bags can significantly affect the decay rate
(Islam et al., 2024; Vinh et al., 2020).
Variations in the composition of meso-
fauna communities during different days of
leaf litter decomposition can be partially attrib-
uted to changes in specific organisms or condi-
tions within the leaves throughout this process.
Matheri et al. (2024) established that meso-
fauna communities respond significantly to the
duration of decomposition. Treplin & Zimmer
(2012) noted that crabs tend to prefer aged,
decaying leaves due to the decrease of solu-
ble leaf compounds over time, which means
these crabs do not necessarily play a crucial
role in leaf breakdown during the early stages
of decomposition.
In a mangrove ecosystem in southwestern
Puerto Rico, Torres-Pratts & Schizas (2007)
observed that the abundance of nematodes in
the litter increases progressively as decomposi-
tion advances. For the leaf litter of R. racemosa
in the TSNW, a significant abundance of nema-
todes was recorded at the end of the experi-
mental period during the dry season. A peak
in nematode abundance was observed after 90
days of decomposition during the rainy sea-
son. Many nematode species feed on the algae,
fungi, and bacteria that colonize decomposing
organic matter in estuarine habitats (Moens &
Vincx, 1997; Sánchez-Monge & Cortés, 2024).
Therefore, it is likely that the peak of nematodes
corresponds to an increase in these microor-
ganisms, which serve as food sources for the
nematodes present in the leaf litter.
There was also a noticeable seasonal change
in the mesofauna. Selviani et al. (2024) high-
lighted that climate and microclimate influ-
ence the presence of microbiota, which in turn
affects the decomposition rate of mangrove
litter. In this study, a total of 67 individuals of
Brachyura (crabs from various families) were
observed, with 57 of them identified during the
rainy season. However, the brachyuran crabs
were not among the most abundant taxa and
did not significantly contribute to the differ-
ences observed between samples. Crabs are
considered key organisms in the ecological pro-
cesses of mangrove forests, as they are known to
consume detritus from leaf litter, which influ-
ences leaf decomposition and nutrient cycling
(Hogarth, 2007; Jiménez, 1994; Lacerda, 2002).
These organisms play a vital role in the frag-
mentation of leaves by scraping the surface to
consume algae and other epibionts.
Based on the trophic classification of the
mesofauna present, it is expected that most
organisms are indirect consumers of R. rac-
emosa litter. For example, rest of fungi, diatoms
and bacteria have been found in the stomach
contents of springtails (Castaño-Meneses et
al., 2004), and nematodes. This suggests that
these organisms likely benefit from the decom-
position process of the litter by feeding on
their epibionts. On the decaying leaf litter of
R. racemosa, taxa of aquatic insects were also
observed, including Trichoptera, Lepidoptera
larvae and Diptera families (Chironomidae,
Ceratopogonidae and Dolichopodidae). Rincón
& Covich (2014) noted that Trichoptera species
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
Phylloicus pulchrus plays a significant role in
litter decomposition despite its low density, as
it scrapes the surface and consumes the fibrous
components of the leaves. Similarly, Lepidop-
tera larvae also consume leaves in mangrove
ecosystems (Lacerda, 2002). Diptera were the
most abundant insects found in the samples
analyzed in this study, which is consistent
with findings from other mangrove ecosystems
(Hogarth, 2007; Lacerda, 2002). Their mouth-
parts are adapted for licking or sucking other
plant fluids (Brusca & Brusca, 2005).
In this investigation, some of the most
abundant taxa found in leaf litter samples
belonged to trophic groups that consume
decayed leaves, including Nemertea, Gastrop-
oda, Ostracoda, Harpacticoida, Gammaridea,
and Nematoda. Among these, gastropods were
particularly prominent (Hogarth, 2007) and
represented the most abundant taxa in the leaf
litter samples. Although some gastropods feed
directly on leaf litter, such as Terebralia palustris
(Potaminidae), which primarily consumes leaf
litter and is one of the most significant leaf litter
removers in mangrove forests (Hogarth, 2007),
Melo et al. (2013) also identified another small
gastropod, Olivella minuta, as one of the most
abundant taxa of benthic macrofauna in Brazil-
ian mangroves.
Thirteen polychaete families were identi-
fied (Ampharetidae, Capitellidae, Cirratulidae,
Chaetopteridae, Chrysopetallidae, Maldanidae,
Nereididae, Orbiniidae, Paraonidae, Pilargidae,
Phyllodocidae, Polynoidea, Sylidae). Families
Capitellidae, Chaetopteridae, Nereididae, Orbi-
niidae and Phyllodocidae in previous studies
on polychaete communities in mangroves of
tropical estuaries were described as herbivores
or detritivores (López et al., 2002; Sarkar et
al., 2005). The family Nereididae (many of its
representatives are carnivorous or omnivorous)
was the largest among the polychaete fami-
lies found in the litter samples of R. racemosa
in TSNW. Although López et al. (2002) and
Sarkar et al. (2005) studied the community
of polychaetes present in the sediment of the
mangrove, these organisms can also act as her-
bivores or detritivores, turning into potential
litter consumers, and therefore into collabora-
tors of the decomposition process.
Ostracods are microcrustaceans that rank
among the five most abundant taxa found in
the litter of R. racemosa. Vargas (1987) noted
that ostracods are one of the most prevalent
groups of benthic fauna in the mangrove for-
est of Punta Morales, Costa Rica. In Puerto
Rico, however, ostracods have been reported to
occur in low quantities in the litter of R. mangle
(Torres-Pratts & Schizas, 2007).
Copepods from the order Harpacticoida
were not among the most abundant taxa, but
they significantly contributed to the differ-
ences in composition between the sampling
sites. Harpacticoid copepods, particularly those
from the Darcythomsoniidae family, are known
for their exclusive consumption of mangrove
litter (Nagelkerken et al., 2008). In this study,
Harpacticoida were classified as detritivores
and herbivores; however, they were not linked
to the rate of leaf litter decomposition.
There are notable changes in the com-
position of the mesofauna community that
colonizes the samples over the decomposition
period, as well as differences observed between
sites and seasons. However, these changes do
not appear to be directly linked to the loss of
litter mass during decomposition, regardless of
the site or season. Consequently, the diversity
of taxa and trophic groups found in the samples
does not have a direct relationship with the leaf
litter decomposition rate. Instead of the varia-
tions in mesofauna composition, it is the abun-
dance of this mesofauna that influences the leaf
litter decomposition of R. racemosa.
The study of mesofauna presence dur-
ing the leaf litter decomposition process of R.
racemosa in TSNW mangrove evidences an
abundant mesofauna community composed of
diverse taxa that still needs deeper study efforts
to achieve their total role in nutrient recycling,
soil formation, primary productivity, and ecol-
ogy of mangrove forests. The increase in the
comprehension of these processes is vital for
the conservation and sustainability of the eco-
system. Therefore, the research addressed here
represents a contribution to this understanding.
11
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
Ethical statement: the authors declare that
they all agree with this publication and made
significant contributions; that there is no con-
flict 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
a11v73s1-suppl1
ACKNOWLEDGMENTS
Authors thank Jorge Picado, Carlos and
Leo of the Biology Team of the Instituto Costar-
ricense de Electricidad (ICE) at Buenos Aires,
Puntarenas, for their support in the field. To
Álvaro Morales and Emma Segura of the Cen-
tro de Investigación en Ciencias del Mar y
Limnología (CIMAR) at the University of Costa
Rica, for administrative support. To the Insti-
tuto Metereológico Nacional (IMN) which pro-
vided the temperature and rainfall data. Thanks
to Juan Carlos Azofeifa, Marco Corrales, Vik-
toria Bogantes, Rita Vargas, Paola Campos and
Kimberly García who helped with organisms
quantification and identification.
REFERENCES
Ashton, E. C., Hogarth, P. J., & Ormond, R. (1999). Break-
down of mangrove leaf litter in a managed mangrove
forest in Peninsular Malaysia. Hydrobiologia, 413,
77–88. https://doi.org/10.1023/A:1003842910811
Barrantes-Leiva, R. M., & Cerdas-Salas, A. (2015). Distri-
bución espacial de las especies de mangle y su aso-
ciación con los tipos de sedimentos del sustrato, en el
sector estuarino del Humedal Nacional Térraba-Sier-
pe, Costa Rica. Revista de Biología Tropical, 63(S1),
47–60. http://dx.doi.org/10.15517/rbt.v63i1.23094
Brusca, R., & Brusca, G. J. (2005). Invertebrados (2nd ed.).
McGraw-Hill Interamericana.
Castaño-Meneses, G., Palacios-Vargas, J., & Cutz-Pool,
L. (2004). Feeding habits of Collembola and their
ecological niche. Anales del Instituto de Biología de
la Universidad Nacional Autónoma de México, Serie
Zoología, 75, 135–142.
Clarke, K. R., & Warwick, R. M. (1994). Change in Marine
Communities: An Approach to Statistical Analysis
and Interpretation. Natural Environment Research
Council.
DCroz, L., Del Rosario, J., & Holness, R. (1989). Degra-
dation of red mangrove (Rhizophora mangle) leaves
in the Bay of Panamá. Revista de Biología Tropical,
37(1), 101–104.
de León-González, J. A. (2009). Nereididae Lamark, 1818.
In J. A. de León-González, J. R. Bastida-Zavala, L. F.
Carrera-Parra, M. E. García-Garza, A. Peña-Rivera, S.
I. Salazar-Vallejo, & S. Solís-Weiss (Eds.), Poliquetos
(Annelida: Polychaeta) de México y América Tropical
(pp. 325–354). Universidad Autónoma de Nuevo
León.
de Oliveira, A. B., Rizzo, A. E., da Conceição, E., & Couto, G.
(2011). Benthic macrofauna associated with decom-
position of leaves in a mangrove forest in Ilhéus, State
of Bahía, Brazil. Journal of the Marine Biological Asso-
ciation of the United Kingdom, 92, 1479–1487. https://
doi.org/10.1017/S0025315411001482
Dewiyanti, I. (2010). Litter decomposition of Rhizopho-
ra stylosa in Sabang-Weh Island, Aceh, Indonesia;
evidence from mass loss and nutrients. Biodiversi-
tas, 11(3), 139–144. https://doi.org/10.13057/biodiv/
d110307
Díaz-Navarro, L. (1993). Producción y descomposición de
hojarasca de la especie multifloreada Rhizophora (Rhi-
zophoraceae), en el Estero de Morales, Golfo de Nicoya,
Costa Rica [Tesis de maestría no publicada]. Univer-
sidad de Costa Rica.
Dittmann, S. (2001). Abundance and distribution of small
infauna in mangroves of Missionary Bay, North
Queensland, Australia. Revista de Biología Tropical,
49(2), 535–544.
Galeano, E., Mancera, J. E., & Medina, J. H. (2010). Efecto
del sustrato sobre la descomposición de hojarasca
en tres especies de mangle en la Reserva de Biosfera
Seaflower, Caribe Colombiano. Caldasia, 32(2), 2–7.
Giere, O. (1993). Meiobenthology: The microscopic motile
fauna of aquatic sediments. Springer-Verlag.
Glockner-Fagetti A. (2009). Chaetopteridae, Audouin &
Milne-Edwards 1833. In J. A. de León-González, J.
R. Bastida-Zavala, L. F. Carrera-Parra, M. E. García-
Garza, A. Peña-Rivera, S. I. Salazar-Vallejo, & S. Solís-
Weiss (Eds.), Poliquetos (Annelida: Polychaeta) de
México y América Tropical (pp. 115–122). Universidad
Autónoma de Nuevo León.
Glockner-Fagetti, A., & Egremi-Valdez, A. (2009). Phyllo-
docidae Örsted, 1843. In J. A. de León-González, J.
R. Bastida-Zavala, L. F. Carrera-Parra, M. E. García-
Garza, A. Peña-Rivera, S. I. Salazar-Vallejo, & S. Solís-
Weiss (Eds.), Poliquetos (Annelida: Polychaeta) de
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
México y América Tropical (pp. 409–424). Universidad
Autónoma de Nuevo León.
Gray, J., & Elliott, M. (2009). Ecology of marine sediments:
from science to management (2nd ed.). Oxford Uni-
versity Press.
Gladstone-Gallagher, R. V. (2012). Production and decay
of mangrove (Avicennia marina subsp. australasica)
detritus and its effects on coastal benthic communities
[Unpublished master’s thesis]. Waikato University.
Hernández-Alcántara, P., & Solís-Weiss, V. (2009). Ampha-
retidae, Malmgren, 1986. In J. A. de León-González, J.
R. Bastida-Zavala, L. F. Carrera-Parra, M. E. García-
Garza, A. Peña-Rivera, S. I. Salazar-Vallejo, & S. Solís-
Weiss (Eds.), Poliquetos (Annelida: Polychaeta) de
México y América Tropical (pp. 57–76). Universidad
Autónoma de Nuevo León.
Hogarth, P. (2007). The Biology of Mangroves and Seagras-
ses. Universidad de Oxford.
Instituto Meteorológico Nacional. (2014). Datos de preci-
pitación y temperatura ambiental para el año 2013 en
la estación de Palmar Norte. Instituto Metereológico
Nacional, Costa Rica.
Islam, M. A., Billah, M. M., Idris, M. H., Hussin, W. M. R.
W., Bhuiyan, M. K. A., Sukeri, M. S. B. M., & Kamal,
A. H. M. (2024). Microbiota and soil fauna mediate
litter decomposition and associated carbon and nitro-
gen dynamics in mangrove blue carbon ecosystems:
Insights from a coastal lagoon in Malaysia. Hydro-
biologia, 851(10), 2469-2486. https://doi.org/10.1007/
s10750-024-05470-0
Jiménez, J. A. (1988). The dynamics of Rhizophora racemo-
sa Meyer, forests on the Pacific coast of Costa Rica.
Brenesia, 30, 1–12.
Jiménez, J. (1994). Los manglares del Pacífico Centroameri-
cano. EFUNA.
Jiménez, J. A. (1999). Ambiente, distribución y caracterís-
ticas estructurales de los manglares del Pacífico de
Centro América: contrastes climáticos. In A. Yáñez-
Arancibia., & A. L. Lara-Domínguez (Eds.), Ecosis-
temas de Manglar en América Tropical (pp. 51–70).
Instituto de Ecología, A.C. Xalapa, México; UICN/
ORMA Costa Rica; NOAA/NMFS Silver Spring MO
USA.
Kathiresan, K., & Bingham, B. L. (2001). Biology of man-
groves and mangrove ecosystems. Advances in
Marine Biology, 40, 81–251. https://doi.org/10.1016/
S0065-2881(01)40003-4
Kulal, A., Sridhar, K., Seetharam, R., & Baerlocher, F.
(2008). Breakdown of fresh and dried Rhizophora
mucronata leaves in a mangrove of Southwest India.
Wetlands Ecology and Management, 16, 1–9. https://
doi.org/10.1007/s11273-007-9041-y
Lacerda, L. D. (2002). Mangrove ecosystems: function and
management. Springer.
López, E., Cladera, P., San Martín, G., Laborda, A., & Agua-
do, M. T. (2002). Polychaete assemblages inhabiting
intertidal soft bottoms associated with mangrove
systems in Coiba National Park (East Pacific, Pana-
ma). Wetlands Ecology and Management, 10, 233–242.
https://doi.org/10.1023/A:1020179830880
Loría-Naranjo, M., Sibaja-Cordero, J. A., & Cortés, J.
(2018). Mangrove leaf litter decomposition in a
seasonal tropical environment. Journal of Coastal
Research, 35(1), 122–129. https://doi.org/10.2112/
JCOASTRES-D-17-00095.1
Lugo, A. E., & Snedaker, S. C. (1974). The ecology of
mangroves. Annual Review of Ecology and Syste-
matics, 5, 39–64. https://doi.org/10.1146/annurev.
es.05.110174.000351
Maggenti, M. A., & Maggenti, A. R. (2005). Dictionary
of Invertebrate Zoology. https://digitalcommons.unl.
edu/zeabook/61/
Matheri, F., Ongeso, N., Bautze, D., Runo, S., Mwangi, M.,
Kambura, A., Karanja, E., Tanga, C., & Kiboi, M.
(2024). The Overlooked Decomposers: Effects of
Composting Materials and Duration on the Meso-
fauna Mediating Humification. Sustainability, 16(15),
6534. https://doi.org/10.3390/su16156534
Melo, K., Tangliaro, C. H., & Beasley, C. R. (2013). Seasonal
changes in the subtidal benthic macrofauna of a man-
grove coast. Journal of Coastal Research, 65(10065),
87–92. https://doi.org/10.2112/SI65-016.1
Moens, T., & Vincx, M. (1997). Observations on the
feeding ecology of estuarine nematodes. Journal
of the Marine Biological Association of the United
Kingdom, 77(1), 211–227. https://doi.org/10.1017/
S0025315400033889
Nagelkerken, I., Blaber, S. J. M., Bouillon, S., Green,
P., Haywood, M., Kirton, L. G., Meynecke, J.-O.,
Pawlik, J., Penrose, H. M., Sasekumar, A., & Somer-
field, P. J. (2008). The habitat function of mangroves
for terrestrial and marine fauna: A review. Aqua-
tic Botany, 89(2), 155–185. https://doi.org/10.1016/j.
aquabot.2007.12.007
Palit, K., Rath, S., Chatterjee, S., & Das, S. (2022). Microbial
diversity and ecological interactions of microorga-
nisms in the mangrove ecosystem: Threats, vulne-
rability, and adaptations. Environmental Science and
Pollution Research, 29(22), 32467-32512. https://doi.
org/10.1007/s11356-022-19048-7
Picado, J. (2016). Distribución espacial y temporal de la
salinidad en la columna de agua del sector estua-
rino del Humedal Nacional Térraba Sierpe, Costa
Rica. Revista de Biología Tropical, 75-96. https://doi.
org/10.15517/rbt.v63i1.23097
13
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73(S1): e64043, enero-diciembre 2025 (Publicado Mar. 03, 2025)
Powers, J., Montgomery, R., Adair, C., Brearley, F., DeWalt,
S., Castanho, C., Chave, J., Deinert, E., Ganzhorn, J.,
Gilbert, M., González-Iturbe, J. A., Bunyavejchewin,
S., Grau, R., Harms, K., Hiremath, A., Iriarte-Vivar, S.,
Manzane, E., de Oliveira, A., Pooters, L., … Lerdau,
M. (2009). Decomposition in tropical forests: A pan-
tropical study of the effects of litter type, litter place-
ment and mesofaunal exclusion across a precipitation
gradient. Journal of Ecology, 97(4), 801–811. https://
doi.org/10.1111/j.1365-2745.2009.01515.x
Quesada-Alpízar, M. A., Cortés, J., Alvarado, J. J., & Fonse-
ca, A. C. (2006). Características hidrográficas y biológi-
cas de la zona marino-costera del área de conservación
Osa [Reporte técnico]. Serie Técnica: apoyando los
esfuerzos en el manejo y protección de la biodiver-
sidad tropical [Número 2]. The Nature Conservancy,
San José, Costa Rica.
Rincón, J., & Covich, A. (2014). Effects of insect and
decapod exclusion and leaf litter species identity
on breakdown rates in a tropical headwater stream.
Revista Biología Tropical, 62(S2), 143–154. https://doi.
org/10.15517/rbt.v62i0.15784
Roberts, M. J., Long, S. P., Tieszen, L. L., & Beadle, C.
L. (1987). Measurement of plant biomass and net
primary production. In J. Coombs & D. Hall (Eds.),
Techniques in Bioproductivity and Photosynthesis
(pp. 1–19). Pergamon Press. https://doi.org/10.1016/
B978-0-08-031999-5.50011-X
Roldán, G. (1988). Guía para el estudio de los macroinver-
tebrados acuáticos del Departamento de Antioquia.
Fondo FEN Colombia/Colciencias/Universidad de
Antioquia.
Salazar-Vallejo, S., & Rizzo, A. (2009). Pilargidae de Saint-
Joseph, 1899. In J. A. de León-González, J. R. Bastida-
Zavala, L. F. Carrera-Parra, M. E. García-Garza, A.
Peña-Rivera, S. I. Salazar-Vallejo, & S. Solís-Weiss
(Eds.), Poliquetos (Annelida: Polychaeta) de México y
América Tropical (pp. 425–440). Universidad Autóno-
ma de Nuevo León.
Sánchez-Monge, A., & Cortés, J. (2024). Marine nema-
todes of Costa Rica: State of the art. Neotropical
Biology and Conservation, 19(2), 319–331. https://doi.
org/10.3897/neotropical.19.e115345
Sarkar, S. K., Bhattacharya, A., Giri, S., Bhattacharya, B.,
Sarkar, D., Nayak, D., & Chattopadhaya, A. (2005).
Spatiotemporal variation in benthic polychaetes
(Annelida) and relationships with environmental
variables in a tropical estuary. Wetlands Ecology
and Management, 13, 55–67. https://doi.org/10.1007/
s11273-003-5067-y
Selviani, S., Zamani, N. P., Natih, N. M. N., & Tarigan, N.
(2024). Analysis of Mangrove Leaf Litter Decomposi-
tion Rate in Mangrove Ecosystem of Muara Pagatan,
South Kalimantan. Jurnal Kelautan Tropis, 27(1),
103–112. https://doi.org/10.14710/jkt.v27i1.21913
Singh, V. P., Garge, A., & Mall, L. P. (1993). Study of bio-
mass, litter fall and litter decomposition in managed
and unmanaged mangrove forests of Adaman Islands.
In H. Lieth & A. Al Masoom (Eds.), Towards the
Rational Use of High Salinity Tolerant Plants (pp.
149–154). Kluwer Academic Publisher. https://doi.
org/10.1007/978-94-011-1858-3_15
Silva-Benavides, A. M. (2009). Mangroves. In I. S. Wehrt-
mann & J. Cortés (Eds.), Marine Biodiversity of Costa
Rica, Central America (pp. 73–78). Springer.
Swift, M. J., Heal, O. W., & Anderson, J. M. (1979). Decom-
position in Terrestrial Ecosystems. University of Cali-
fornia Press.
Torres-Pratts, H., & Schizas, N. V. (2007). Meiofaunal
colonization of decaying leaves of the red mangrove
Rhizophora mangle, in southwestern Puerto Rico.
Caribbean Journal Science, 43, 127–137. https://doi.
org/10.18475/cjos.v43i1.a12
Treplin, M., & Zimmer, M. (2012). Drowned or dry:
A cross-habitat comparison of detrital breakdown
processes. Ecosystems, 15, 477–491. https://doi.
org/10.1007/s1002 1-012-9523-5
Twilley, R. R., & Day, J. W. (1999). The productivity and
nutrient cycling of mangrove ecosystem. In A. Yáñez-
Arancibia & A. L. Lara-Domínguez (Eds.), Ecosiste-
mas de manglar en América Tropical (pp. 127–152).
Instituto de Ecología, A.C. México, UICN/ORMA,
Costa Rica. NOAA/NMFS Silver Spring MD, USA.
Vargas, J. A. (1987). The benthic community of an intertidal
mud flat in the Gulf of Nicoya, Costa Rica. Descrip-
tion of the community. Revista Biología Tropical,
35(2), 299–316.
Vereycken, J. E., & Aldridge, D. C. (2023). Bivalve molluscs
as biosensors of water quality: state of the art and
future directions. Hydrobiologia, 850, 231–256.
https://doi.org/10.1007/s10750-022-05057-7
Vinh, T. V., Allenbach, M., Linh, K. T. V., & Marchand,
C. (2020). Changes in Leaf Litter Quality During Its
Decomposition in a Tropical Planted Mangrove Forest
(Can Gio, Vietnam). Frontiers in Environmental Scien-
ce, 8, 10. https://doi.org/10.3389/fenvs.2020.00010
Wang, S., Jin, B., Qin, H., Sheng, Q., & Wu, J. (2015). Tro-
phic dynamics of filter feeding bivalves in the Yangtze
Estuarine Intertidal Marsh: Stable isotope and fatty
acid analyses. PLoS ONE, 10(8), e0135604. https://doi.
org/10.1371/journal.pone.0135604
Windevoxhel-Lora, N. J. (1998). Un plan para el manejo sos-
tenido del humedal de Sierpe-Térraba. San José, Costa
Rica: PROARCA/Costas.
Xiping, Z., Lizhe, C., & Sujing, F. (2015). Comparison of
meiofaunal abundance in two mangrove wetlands in
Tong’an Bay, Xiamen, China. Journal of Ocean Univer-
sity of China, 14(5), 816–822. https://doi.org/10.1007/
s11802-015-2642-9