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Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73 (S2): e64706, mayo 2025 (Publicado May. 15, 2025)
Agricultural landscapes in Costa Rica: forest remnants account
for a rich mammal (Mammalia) community
Maria I. Runnebaum1; https://orcid.org/0000-0003-0908-723X
Manuel R. Spinola2; https://orcid.org/0000-0002-7839-1908
J. Edgardo Arévalo1; https://orcid.org/0000-0003-4160-8373
Bernal Rodríguez-Herrera1,3; https://orcid.org/0000-0001-8168-2442
1. Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica; mariaruj@gmail.com (*Correspondence), jose.
arevalohernandez@ucr.ac.cr, bernal.rodriguez@ucr.ac.cr
2. Instituto Internacional en Conservación y Manejo de Vida Silvestre, Universidad Nacional, ´ Heredia, Costa Rica;
mspinola10@gmail.com
3. Centro de Investigaciones en Biodiversidad y Ecología Tropical (CIBET), Universidad de Costa Rica, San José, Costa
Rica; bernal.rodriguez@ucr.ac.cr
Recibido 03-IX-2024. Corregido 25-III-2025. Aceptado 07-IV-2025.
ABSTRACT
Introduction: The effects of habitat loss and fragmentation on wildlife are complex processes mediated by fac-
tors other than habitat size and isolation alone. For example, the quality of the surrounding matrix, edge-induced
effects, and proximity to large forest tracks are of particular importance. These factors may allow or limit animal
movements and, thus, population persistence in human-modified landscapes. This is the case in some remaining
forest fragments in Costa Rican landscapes.
Objective: To investigate the influence of the landscape composition on medium (< 10 kg) and large-sized (>
10 kg) terrestrial mammals thriving in an agricultural landscape, we surveyed mammal species in 30 sites in the
Sarapiquí region, Costa Rica.
Methods: We used 45 camera traps to assess the richness and composition of mammal species in forest frag-
ments embedded in pineapple plantations and pastures from 2013 to 2014. Richness estimates were calculated
using capture-recapture models for closed populations. We adjusted the models for repeated count data analysis
to determine landscape cover types that best explained species richness.
Results: Twenty-two species of mammals in nine orders and 16 families were recorded. Despite the habitat loss,
fragmentation, and agricultural practice pressures over the years, the Sarapiquí region maintains a significant
portion of its native mammalian fauna compared to comprehensive historical inventories available for the area.
We found that forest cover best predicts the levels of species richness.
Conclusion: many forest-dependent species, such as the threatened Bairds Tapir, can thrive in fragmented
habitats in agricultural landscapes, while other species seem to be heavily affected by habitat modification and
land use type. Forested areas and pastures with a high density of scattered trees and proximity to extensive
forests could enhance the conservation of mammal communities despite the intense human land use in these
agricultural landscapes.
Keywords: Biodiversity; conservation; forest cover; landscape composition; matrix quality.
https://doi.org/10.15517/rev.biol.trop..v73iS2.64706
SUPPLEMENT
SECTION: ECOLOGY
2Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73 (S1): e64706, mayo 2025 (Publicado May. 15, 2025)
INTRODUCTION
Studies on tropical forests show that cru-
cial ecological processes for wildlife thriving
in fragmented habitats are complex and are
highly influenced by the quality of the matrix
where the fragments are imbedded (Crome,
1997; Debinski, 2006; García, 2011; Laurance &
Bierregaard, 1997; Semper-Pascual et al., 2021).
Animal populations may be negatively affected
by the reduction of the original forests and the
increase in isolation between forest fragments
(Andrade-Núñez & Aide, 2010; Chetcuti et al.,
2021; Murcia, 1995; Renjifo, 2001; Saunders
et al., 1991). This is because the reduction
in area and isolation of the fragments can
modify the physical and biological conditions
of animals, leading to the loss of species and a
decline in population size (Andrade-Núñez &
Aide, 2010). In addition, species in forest frag-
ments may experience reduced immigration
rates, suffer increased predation and parasit-
ism, and may be affected by invasions of exotic
species (Goodman & Rakotondravony, 2000;
Lynam, 1997; Parsons, 1972; Ramos, 2004).
These alterations can be further exacerbated by
variable edge effect conditions (Bernard & Fen-
ton, 2007; García, 2011; Semper-Pascual et al.,
2021). The severity of the edge effects depends
on the quality and composition of the matrix,
which, in turn, may influence animal move-
ments between fragments. Thus, the composi-
tion of the matrix may function as a buffering
element or become additional habitats for some
animal species (Kattan, 2002; Laurance & Peres,
2006; Medellín & Equihua, 1998; Pardini, 2004;
Pardini et al., 2000; Prevedello & Vieira, 2010).
Many species of mammals are strongly
affected by land modifications such as the
ones described above (Chiarello, 2000; Da Silva
& Mendes-Pontes, 2008). Some species may
be sensitive to habitat loss and fragmentation
RESUMEN
Paisajes agrícolas en Costa Rica: remanentes de bosque albergan una rica comunidad de mamíferos
Introducción: Los efectos de la pérdida y fragmentación de hábitats en la vida silvestre son procesos complejos,
influenciados por factores más allá del tamaño y el aislamiento del hábitat. Por ejemplo, la calidad de la matriz
circundante, los efectos inducidos por los bordes y la proximidad a grandes áreas forestales son de particular
importancia. Estos factores pueden facilitar o limitar los movimientos de los animales, y, por lo tanto, la persis-
tencia de las poblaciones en paisajes modificados por humanos, como ocurre en los fragmentos de bosque que
aún existen en algunas regiones de Costa Rica.
Objetivo: Investigar cómo la composición del paisaje influye en los mamíferos terrestres de tamaño mediano (<
10 kg) y grande (> 10 kg) que viven en un paisaje agrícola. Para ello, realizamos un estudio de las especies de
mamíferos en 30 sitios de la región de Sarapiquí, Costa Rica.
Métodos: Utilizamos 45 cámaras trampa para evaluar la riqueza y la composición de las especies de mamíferos
en fragmentos de bosque situados entre plantaciones de piña y pastizales, desde 2013 hasta 2014. Calculamos
las estimaciones de riqueza utilizando modelos de captura-recaptura para poblaciones cerradas. Ajustamos estos
modelos para el análisis de datos de conteo repetido, con el fin de identificar los tipos de cobertura del paisaje que
mejor explican la riqueza de especies.
Resultados: Se registraron 22 especies de mamíferos, pertenecientes a nueve órdenes y 16 familias. A pesar de la
pérdida de hábitat, la fragmentación y las presiones de las prácticas agrícolas a lo largo de los años, la región de
Sarapiquí conserva una parte significativa de su fauna mamífera nativa, comparada con los inventarios históricos
disponibles para el área. Descubrimos que la cobertura forestal es el mejor predictor de los niveles de riqueza de
especies.
Conclusión: Muchas especies dependientes del bosque, como el amenazado tapir de Baird, pueden prosperar en
hábitats fragmentados dentro de paisajes agrícolas, mientras que otras parecen verse fuertemente afectadas por
la modificación del hábitat y el tipo de uso del suelo. Las áreas forestales y los pastizales con alta densidad de
árboles dispersos, así como la proximidad a grandes extensiones de bosque, podrían mejorar la conservación de
las comunidades de mamíferos, a pesar del intenso uso humano del suelo en estos paisajes agrícolas.
Palabras clave: Biodiversidad, cobertura boscosa, composición del paisaje, calidad de la matriz.
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(Chetcuti et al., 2021; Ewers & Didham, 2005;
Harvey et al., 2006), while others benefit from
agriculture or silviculture expansion (Lessa et
al., 2012; Lyra-Jorge et al., 2008). For instance,
large-sized species that have wide home ranges,
specific habitat requirements, and low popu-
lation densities may be particularly affected
by habitat alterations (Brashares et al., 2001;
García, 2011; Kinnaird et al., 2003; Michalski
& Peres, 2005; Silver et al., 2004). Moreover,
large-sized mammals might be more vulnerable
to local extinction than small mammal species
(Bennett, 1990; Daily et al., 2003; Elmhagen &
Angerbjörn, 2001; Robinson, 1996). This can
have ecological implications as it is known that
large-sized to medium-sized mammals play an
important role in tropical ecosystem function as
seed dispersers and energy cycle regulators (De
la Cruz, 2012; Howe & Smallwood, 1982; Silver
et al., 2004; Terborgh, 1992). These attributes
make some mammal species of special inter-
est for conservation (Ceballos & Ehrlich, 2002;
Chiarello, 2000; Da Silva & Mendes Pontes,
2008; Daily et al., 2003; Kerley et al., 2003; Lino
et al., 2019), such as the Bairds Tapirs (Tapi-
rus bairdii) and Jaguars (Panthera onca), that
have been recognized as flagship species for
conservation programs because of their large
forest area dependency, along with many other
species that are listed under Appendix 1 of the
Convention on International Trade in Endan-
gered Species (CITES) (Caro & O’Doherty,
1999; Kinnaird et al., 2003).
In Costa Rica, the historical loss of for-
est cover has been attributed to agricultural
development practices (e.g., monocultures) and
cattle grazing, human population growth, and
the expansion and construction of roads (Bar-
rantes, 2000; Cove et al., 2013). Particularly
during the ’80s, Costa Rica had the highest rates
of deforestation in Central America with more
than 70% of primary forests lost by the end
of that decade (Sader & Joyce, 1998; Sánchez-
Azofeifa et al., 2001; Watson et al., 1998). This
deforestation process created landscape mosaics
of disturbed habitats, pastures, and single-spe-
cies crops. For example, the heavily deforested
northern region of the country that includes the
Sarapiquí region is now extensively covered by
pineapple and banana plantations, mixed agri-
culture, forest fragments as well as private and
state-owned protected areas (Butterfield, 1994;
Chiarello, 2000; De la Cruz, 2012; Lyra-Jorge et
al., 2008; Sánchez-Azofeifa et al., 2001; Semper-
Pascual et al., 2021). Since the late 90’s, private
initiatives in the area have augmented natural
reserves that may have reduced pressure from
agriculture and farming; however, the spread of
large-scale pineapple and banana plantations,
as well as cattle grazing are still posing pressure
on the remaining forest habitats (Araya, 2017;
Cove et al., 2012; Lino et al., 2019; Montagnini,
1994; Sánchez-Azofeifa et al., 2001).
Despite the increasing number of studies
highlighting the importance of the quality of
the matrix for the maintenance of biodiversity
in fragmented landscapes (Fahrig et al., 2011;
Perfecto & Vandermeer, 2010), there is still a
lack of information about the land use char-
acteristics that may favor or limit richness and
composition of terrestrial mammal species in
human-dominated landscapes (Cuan, 2000;
Daily et al., 2003; Lino et al., 2019; Urquiza-
Haas et al., 2009). In tropical countries like
Costa Rica, the dynamic turnover of land use
types and its potential consequences for animal
communities needs further investigation (De la
Cruz, 2012; Gascon et al., 1999). The objective
of this study is to assess the species composition
of medium and large-sized mammals thriv-
ing in an agricultural landscape in the Carib-
bean slope of Costa Rica. We hypothesize that
the amount of forest cover and proximity to
large tracks of protected forest would increase
habitat availability, thus favoring mammal spe-
cies abundance. In addition, we expect that
structurally low-quality matrices such as pas-
ture and pineapple near or adjacent to forest
fragments would decrease the abundance of
mammal species.
METHODS
Study Area: We conducted the study in
Sarapiquí, near Puerto Viejo and La Virgen,
province of Heredia, from November 2013
4Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73 (S1): e64706, mayo 2025 (Publicado May. 15, 2025)
to May 2014. The area experiences a short
dry season from March to May, followed by a
prolonged rainy season from May to Febru-
ary. The average annual temperature is 25.3º
C, and the mean annual precipitation is 3777
mm (Matlock & Hartshorn, 1999). The study
area covered 32,716 hectares comprising 54%
of forest fragments, 24 % pastures primarily
for cattle grazing, and the remaining 22 % with
pineapple and other scattered crop patches
(Appendix 1). The study area is divided by
the Sarapiquí River and the main road from
Horquetas to La Virgen, containing important
human settlements (Butterfield, 1994; Schelhas
& Sánchez-Azofeifa, 2006). Large and continu-
ous forest areas are found both in the northern
and southern areas, adjacent to the northern
limit of the Braulio Carrillo National Park
(BCNP). With 47,586 hectares of forest, this
park is the most extensive one in the region and
has an ample altitudinal range, varying from 32
to 2,906 meters above sea level. In addition, the
BCNP has a large proportion of primary for-
est that allows for suitable habitats for several
threatened, endemic, and narrow-limited spe-
cies in Sarapiquí (Butterfield, 1994; Schelhas
& Sánchez-Azofeifa, 2006). Several forest frag-
ments embedded in cattle pastures are found
in proximity to this protected area, including
Pozo Azul (161.8 ha), Selva Verde (202 ha), and
Tirimbina (345 ha), which are private reserves
for ecotourism and scientific research. The
northern side of the study area contains the
largest forest remnants within private reserves,
including EcoVida (650 ha), Alfa Industrias
(550 ha), and Santa Ines (526 ha) (Appen-
dix 2). Given their relatively large size, these
forest remnants may represent an important
habitat for many species. Nonetheless, there
is a significant amount of pressure from the
expansion of the agricultural frontier, mainly
pineapple. For example, Finca La Virgen, which
cultivates pineapple, has several remnants of
mostly riparian forests that are immersed both
in pastures and pineapple plantations. There
are also rivers, roads and small towns in the
surrounding area.
Sampling site selection: We laid out a grid
of hexagons of 1 km2 on a map of the study area
using ArcGIS 10. We selected 30 hexagons with
at least 10 % forest cover in a stratified manner
and deployed autonomous camera traps at each
of the 30 selected sampling sites. Each camera-
trap was at least 1 km apart from one another.
Landscape analysis: We conducted a land-
scape analysis using ArcGIS 10 to classify
the different landscape elements and land use
types in all sites. Since no prior categorization
was available, we performed the classification
based on direct visual assessment of the satel-
lite imagery (Hook et al., 2022). identifying
distinct land cover types according to their
composition and configuration. Specifically,
we categorized areas based on forest density,
the extent of pasturelands, and the presence
of plantations, which were distinguishable in
the images. When possible, we validated the
classification through on-site verification. In
addition, we measured the distances between
forest fragments that could serve as potential
suitable habitats for most mammals, which we
defined in this study as forest remnants larger
than 500 ha . This threshold was established
based on internal research criteria, consider-
ing the need for sufficiently large areas to
support viable populations of terrestrial mam-
mals. While specific references using this exact
threshold were not identified, previous studies
have highlighted the importance of fragment
size in biodiversity conservation. For instance,
Hending et al. (2023) demonstrated that for-
est fragmentation and associated edge effects
reduce tree species diversity and structural
diversity in Madagascar’s transitional forests.
Similarly, Ries et al. (2004) discussed how a
decrease in fragment size results in an increased
edge-to-core ratio, which can be disadvanta-
geous to habitat specialist species. Furthermore,
we assessed the distances between structural
landscape elements, such as live fences and
small forest patches, which can influence con-
nectivity between these fragments, either facili-
tating or limiting species movement.
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Camera-traps: We monitored medium (<
10 kg) and large terrestrial mammals (> 10 kg)
in the study area with the use of camera traps
(Bushnell Trophy Cam HD). This method is
based on identification of animal species using
photographs and videos taken by automatic
cameras. A total of 45 permanent cameras
remained active for a period of 6 months in
2013–2014. The number of camera-trapping
days is defined as the 24-hour period that a
camera operated from the moment the camera
was mounted until it was removed, or when the
last picture was taken. Each activation captured
a sequence of three consecutive photos fol-
lowed by a 10-second video, with a 30-second
interval between detections. Sampling points
were visited periodically to collect the recorded
data and change the cameras’ location within
the same site. This approach can maximize
detection of species whose home ranges are less
than 1 km2.
Cameras were strategically placed 50 cm
above the ground on sites with evidence of
animal presence (footprints, marks, or past
sightings), close to trails, rivers, or streams.
All cameras were geo-referenced with a por-
table GPS and placed under a forest canopy
(protected from direct sunlight since they are
activated by exposure to intense heat). Stations
were baited with a mammal attractant (Calvin
Klein Obsession®) on a cloth-impregnated shel-
tered stake, following a standardized protocol
to ensure consistency in scent dispersion and
avoid biases in detection differences between
stations. This method has been previously used
in similar studies to attract a variety of mammal
species in tropical habitats (Wildlife Conserva-
tion Society, 2013; Holinda et al., 2020; Wildlife
Conservation Society, 2010). Since people occa-
sionally walked through the sites, we placed
a warning sign explaining the purpose of the
ongoing Project.
We identified all recorded animals to a
species level, noting the time and date of the
record. All species of more than 1 kg were con-
sidered, and taxonomic nomenclature follows
Wilson and Reeder (2005) and Rodríguez-Her-
rera et al. (2014). We did not include species of
rodents in the families Muridae and Cricetidae,
nor the order Chiroptera, which were diffi-
cult to identify with this method. In addition,
we used a comprehensive long-term database
developed by the Panthera and TEAM (TEAM
Network, 2011) and other monitoring projects
in the area as a sound reference of the presence
and absence of mammal species.
Data Analysis: We developed a detection
history (1 = detected; 0 = undetected) for the
total time the cameras were active at each site.
For this study, a “detection” was defined as the
occurrence of a species within the cameras field
of view, regardless of whether it was the same
individual observed at different times. There-
fore, repeated detections of the same species
during different periods or frames were treated
as separate events. This definition is important
for the application of the occurrence models
and the subsequent species richness estimation.
We then ran a Cluster Analysis using PAST v
1.0.0.0, applying hierarchical clustering with
complete linkage, using the detection history to
determine Euclidians distance for grouping the
sites according to their similarity.
The overall species richness of medium and
large terrestrial mammals was estimated using
both rarefaction analysis and capture-recapture
models for closed populations, implemented in
R v3.3.2 (R Development Core Team, 2016) for
species detection records (Boulinier et al., 1998;
Chao et al., 2014). In these models, a species
was considered detected at a site if recorded at
least once during the entire sampling period,
regardless of repeated detections of the same
or different individuals. This estimation meth-
od accounts for imperfect species detection,
assuming that observed species richness under-
estimates the true richness in the area. Since the
rarefaction curves were generated using cap-
ture-recapture models that incorporate detec-
tion probability and associated uncertainty, the
resulting estimates directly reflect the expected
species richness (Chao et al., 2014; Colwell et
al., 2012; Hwang et al., 2002)
To assess the influence of landscape vari-
ables on species richness (forest cover, land use
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types such as pastures, pineapple plantations,
and distance to the nearest forest fragment), we
explored multiple occurrence models, combin-
ing the mentioned landscape variables. We used
the Akaikes Information Criterion (AIC) to
maximize log-likelihood for the best approxi-
mating model and the true generating mecha-
nism, where the best model would be the one
with the lowest value of AIC (Anderson, 2008).
To determine which variable best-explained
species richness, we adjusted Repeated Count
Data Analysis (Royle, 2004), taking into
account detection probability for each species
at each site. Using the ranked models and the
determined variables, we constructed a species
richness interpolation map. We used R v 3.3.2
(R Development Core Team, 2016) package
ggplot 2 v. 0.8.9 (Wickham, 2016) to generate
the graphs.
RESULTS
We obtained 1 653 records of mammals
(5 984 days/camera), representing 22 terrestrial
native mammal species. This makes 86 % of
the species reported for the area in the last 60
years (Appendix 3). Of the recorded mammals,
16 were medium-sized and six large-sized spe-
cies distributed in nine orders and 16 families
(Appendix 3); placing the order Carnivora as
the most diverse group with 10 species. We
highlight that nine of the 22 species detected are
Table 1
Medium and large-sized species of mammals recorded in thirty different sites. Camera trap detections in Sarapiquí, Costa
Rica, 2013-2014.
Order Family Species Number of sites
detected
Number of detections
in different sites
A B C
Didelphimorphia Didelphidae Didelphis marsupialis 16 70 6 4
Didelphimorphia Didelphidae Philander melanurus 19 55 34 35
Pilosa Myrmecophagidae Tamandua mexicana 19 31 8 10
Cingulata Dasypodidae Dasypus novemcinctus 29 232 112 135
Rodentia Erethizontidae Coendou mexicanus 1 1 0 0
Rodentia Dasyproctidae Dasyprocta punctata 16 202 16 0
Rodentia Cuniculidae Cuniculus paca 8 31 1 0
Lagomorpha Leporidae Sylvilagus gabbii 3 3 0 0
Carnivora Canidae Canis latrans 5 9 1 3
Carnivora Felidae Leopardus pardalis 21 24 8 7
Carnivora Felidae Leopardus tigrinus 1 1 0 0
Carnivora Felidae Leopardus wiedii 5 7 0 0
Carnivora Felidae Herpailurus yagouaroundi 5 3 1 1
Carnivora Procyonidae Nasua narica 20 80 12 33
Carnivora Procyonidae Procyon lotor 13 13 25 32
Carnivora Mustelidae Eira barbara 15 30 8 8
Carnivora Mustelidae Galictis vittata 1 1 0 0
Carnivora Mephitidae Conepatus semistriatus 1 2 0 0
Perissodactyla Tapiridae Tapirus bairdii 4 14 0 0
Artiodactyla Tayassuidae Dicotyles tajacu 12 42 3 3
Artiodactyla Cervidae Mazama temama 4 15 1 0
Artiodactyla Cervidae Odocoileus virginianus 3 6 0 0
A. Forest fragments (18 Fragments) in high forest cover and in close proximity to extensive protected forests. / B. Forest
fragments (6 Fragments) surrounded by pastures and far from extensive protected forests. / C. Forest fragments (6
Fragments) immersed in pineapple plantations.
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officially listed as threatened and have reduced
populations in Costa Rica (Sistema Nacional
de Áreas de Conservación (SINAC), Ministerio
de Ambiente y Energía (MINAE), 2007). The
names of the updated species are (Ramírez-
Fernández et al., 2023): Bairds Tapir, Ocelots
(Leopardus pardalis), Margays (Leopardus wie-
dii), Oncillas (Leopardus tigrinus) and Jag-
uarundis (Herpailurus yagouaroundi), Spotted
Pacas (Cuniculus paca), Central American
Red Brockets (Mazama temama), Collared
Peccary (Dicotyles tajacu) and Lesser Grison
(Galictis vittata).
The most common species in the area
were Nine-banded Armadillo (Dasypus novem-
cinctus), White-nosed Coati (Nasua narica),
Northern Tamandua (Tamandua mexicana),
Grey Four-eyed Opossum (Philander melan-
urus) and Ocelots. In contrast, rare species
such as Striped Hog-nosed Skunk (Conepatus
semiestriatus), Oncillas, Mexican Hary Dwarf
Porcupine (Coendou mexicanus) and Lesser
Grison were detected at one site; some recorded
only once (Table 1).
The cluster analysis grouped sites based on
species composition, indicating that fragments
surrounded by forest and near large protected
areas shared more similar species assemblages.
In contrast, fragments embedded in pastures
or pineapple plantations formed distinct clus-
ters, suggesting an influence of land-use type
on species composition (Fig. 1). In addition,
the number of species increases faster in frag-
ments surrounded by forest and in proxim-
ity to protected areas as compared with those
embedded in land with pastures and pineapple
plantations (Fig. 2).
The best model that estimated 22 species as
the overall richness in the area was Mh Darroch
as shown in Table 2 (Darroch et al., 1993). Two
Fig. 1. Site Cluster Analysis of mammal species using Euclidians index in relation to the land use cover and distance to
the nearest extensive protected forest. Sites withindicate more than 75% of forest, sites with– indicate more than 30% of
pineapple, and sites with * indicate more than 30% pastures. The clusters are labeled as A. Forest fragments in high forest
cover and in close proximity to extensive protected forests, B. Forest fragments surrounded by pastures and far from extensive
protected forests, and C. Forest fragments immersed in pineapple plantations.
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different model types adequately describe the
dynamics of these species, including one with
an environmental covariate, assuming forest
cover as the determinant variable for species
richness and considering detectability within
this land cover (Table 3).
Our results show that the species richness
of mammals varied according to landscape
characteristics, where pineapple-dominated
areas had the fewest species; and many of the
sites with large forest cover had the largest
number of species (Fig. 3).
DISCUSSION
The amount of forest cover best explains
the species richness and detectability in this
area. Despite the level of habitat loss and frag-
mentation, most remnants of natural forests
surveyed in this study represent potential
habitats for many mammal species. Although
distance from protected areas was not a deter-
minant variable, mammal richness was greater
in sites with large forest cover compared to
fragments surrounded by less forest cover. For
example, EcoVida (EV1) was the forest that
provided a greater detection of medium and
large land mammals with 16 species, despite
being further away from the largest protected
forest: Braulio Carrillo National Park (BCNP).
This is probably because this site is connected
with other relatively large forest fragments,
supporting the idea that large forest areas sup-
port more species (Chiarello, 2000; Da Silva &
Fig. 2. Species rarefaction curves of the sites in clusters A. Forest fragments (18 Fragments) in high forest cover and in close
proximity to extensive protected forests, B. Forest fragments (6 Fragments) surrounded by pastures and far from extensive
protected forests, and C. Forest fragments (6 Fragments) immersed in pineapple plantations. Camera trap detections in
Sarapiquí, Costa Rica, 2013-2014.
Table 2
Capture and recapture models for closed populations to estimate overall species richness of medium and large terrestrial
mammals in the area of Sarapiquí, Costa Rica, 2013-2014.
Model Richness Standard deviation deviance AIC
Observed Estimate
Mh Darroch 22.0 22.3 0.6 34.144 72.347
Mh Chao (LB) 22.0 26.3 6.6 24.988 73.191
Mh Gamma3.5 22.0 80.7 37.7 48.810 87.013
Mh Poisson2 22.0 22.0 0.0 208.458 246.661
M0 22.0 22.0 0.0 230.984 267.187
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Mendes-Pontes, 2008; Fahrig, 2003; Gurd et al.,
2001; Michalski & Peres, 2007).
Mammal species composition in forest
sites, such as the ones surveyed in this study,
indicates that this type of heterogeneous land-
scape offers a variety of resources, favoring
the dispersal of animals between fragments
of forests. For instance, on the southern side
of BCNP, we found that the closest site (MG)
had high species detection, including several
detections of Bairds Tapir. Moreover, although
a number of other sites close to BCNP had low
species detection (e.g., ZB, SF, FO, and TV),
many of the forests in this area are not discrete
patches, but forest remnants bigger than XX ha
that can provide greater habitat amount and
connectivity between different environments.
Habitat heterogeneity with highly permeable
matrices (greater proportion of trees, crops
and secondary forests) allow animal move-
ments through the landscape, maintaining eco-
logical dynamic processes that are essential for
the persistence of mammal populations and
diversity and thus are of great conservation
importance (Asensio et al., 2009; Fahrig, 2013;
Fahrig et al., 2011).
Table 3
Model selection for covariates affecting species richness in different types of landscapes in Sarapiquí, Heredia, Costa Rica,
2013-2014.
Model AIC delta AIC AIC wgt K R2
λ (Forest), r (Forest) 1766.58 0 0.480 4 0.160
λ (.), r (.) 1767.76 1.19 0.260 2 0.000
λ (.), r (Pineapple) 1769.40 2.82 0.120 3 0.012
λ (.), r (Forest) 1769.76 3.18 0.097 3 0.000
λ (Pineapple), r (Pineaple) 1771.19 4.61 0.048 4 0.019
λ (Distance), r (.) 1802.17 35.59 0.000 4 1.900
Fig. 3 Species richness interpolation map (Kriging) with 95% confidence of interval on varying forest covers. Camera trap
detections in Sarapiquí, Costa Rica, 2013-2014.
10 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73 (S1): e64706, mayo 2025 (Publicado May. 15, 2025)
Major changes in landscape configuration
like large pineapple plantations can negatively
affect mammals, reducing species survival and
population viability (Banks et al., 2005; Bélisle
et al., 2001; Carroll et al., 2004; Trombulak &
Frissell, 2000). For example, structural contrast
between forest remnants and the matrix can be
abrupt, increasing the edge effect for many spe-
cies. In addition, the degree of forest loss and
fragmentation in areas with pineapple planta-
tions reduces connectivity between patches,
exacerbating the negative effects that limit ani-
mal movements. Nonetheless, this type of cover
maintains some forest remnants and riparian
forests that act as corridors, while maintaining
a certain degree of physical connectivity with
other forest fragments. It has been reported
that several species of mammals use this type
of remnants to move, maintaining the connec-
tivity of their populations and thus their sur-
vival in altered landscapes (Hermes-Calderón,
2008); this could be the case for Ocelots in our
study. However, Ocelots or other species with
relatively large habitat requirements have lim-
ited ability to move, since elongated fragments
like the ones found in our study area have a
greater perimeter relative to area, so the edge
effect would be further exacerbated.
Conservation value of forest remnants:
We estimated 86 % of the species of terres-
trial native, medium and large sized mammals,
reported for the area in the last six decades
(Appendix 3). Species such as Common Opos-
sum (Didelphis marsupialis) and Grey Four-
eyed Opossum were documented regularly and
in a variety of habitats. A similar case happened
with Northern Tamandua and Nine-banded
Armadillo (Wilson & Mittermeier, 2009). The
latter was the most common species in our
study. Although the Nine-banded Armadil-
los habits are poorly understood, it is known
that it moves and uses different environments
including secondary forests and agricultural
fields (Cuarón, 2000; González-Zamora, 2011;
Navarrete & Ortega, 2011; Nuñez-Perez et
al., 2011; Wainwright & Arias-Sánchez, 2007;
Wilson & Mittermeier, 2009), suggesting its
tolerance towards habitat alteration (De Villa
Meza et al., 2002).
The presence of other species, such as Cen-
tral American Agouti (Dasyprocta punctata),
are commonly reported in various types of
land cover, and are presumed to be tolerant to
deforestation (Reid, 2009; Wainwright & Arias-
Sánchez, 2007; Wilson & Mittermeier, 2009).
Although they were quite common in sev-
eral sites, it was not detected at all in sites with
pineapple coverage. Likewise, Spotted Paca was
found mainly in sites with forest and pasture
cover. Unlike the previously mentioned spe-
cies, many carnivores require large-scale forest
mosaics to meet their daily metabolic needs
(Michalski & Peres, 2005). Such is the case of
the Ocelots, which occur in both continuous
and fragmented forests. However, this species
was only detected once in pineapple plantations
(Table 1), suggesting a transitory occurrence
throughout the area. Ocelots are abundant
opportunistic predators and relatively easy to
study compared with the other wild cats (De
Villa Meza et al., 2002; Di Bitetti et al., 2006;
Wilson & Mittermeier, 2009). A similar find-
ing was obtained for other small cats such as
the Oncillas, Margays and Jaguarundis, whose
detection was low, but they were still present in
small fragments.
There is evidence that not all species are
negatively affected or declining due to habi-
tat fragmentation (Davies et al., 2000). For
instance, Canis latrans was commonly detected
in highly fragmented sites and pineapple plan-
tations, occupying a variety of habitats such
as open areas and forest edges (Bekoff, 1977;
Wilson & Mittermeier, 2009). This flexible
behavior allows them to venture into human-
altered landscapes, invading otherwise unsuit-
able habitats (Cove et al., 2012). Other species
like the Northern raccoon (Procyon lotor),
White-nosed Coati and Tayras (Eira Barbara
showed high tolerance to forest alterations.
These mammals are generalist species that
move across large areas of non-forest habitats
and may use resources from habitat edges and
the landscape matrices (Cassano et al., 2012;
Cuarón, 2000; González-Zamora, 2011; Lessa
11
Revista de Biología Tropical, ISSN: 2215-2075, Vol. 73 (S2): e64706, mayo 2025 (Publicado May. 15, 2025)
et al., 2012; Lyra-Jorge et al., 2008; Massara et
al., 2016; Mendes-Pontes et al., 2016; Wilson
& Mittermeier, 2009) . Although we had few
records of Lesser Grison and Striped Hog-
nosed Skunks these species are reported to be
able to traverse open areas and even use hostile
matrices of actively managed grasslands and
cultivated areas (Kasper et al., 2009; Michalski
& Peres, 2007; Wilson & Mittermeier, 2009).
The Collared Peccary was mostly recorded
in sites with high forest cover, and some in
forest among pasture areas. However, both
individuals and groups of Collared Peccaries
were also detected in pineapple plantations,
contrary to other studies (e.g. Cove et al., 2012;
De la Cruz, 2012). This species uses resources
in open areas (Keuroghlian & Eaton, 2008;
Tejeda-Cruz et al., 2009), and it has been
associated with levels of forest fragmentation
(Garmendia et al., 2013; Wilson & Mittermeier,
2009). It seems that Collared Peccaries could
benefit by a moderate degree of forest loss and
fragmentation in the landscape (Tejeda-Cruz et
al., 2009; Thornton et al., 2011; Urquiza-Haas
et al., 2009). In contrast, White-tailed Deer
(Odocoileus virginianus) and Central American
Red Brocket (Mazama americana) were only
recorded in sites with high forest cover; how-
ever, both species have been reported to ben-
efit from open areas (Garmendia et al., 2013;
Keuroghlian & Eaton, 2008; Tejeda-Cruz et
al., 2009; Wilson & Mittermeier, 2009). Finally,
Bairds Tapir was only recorded in sites with
high forest cover and close to water bodies; a
habitat known to be preferred by the species
(Bodmer et al., 1997; Wilson & Mittermeier,
2009). In addition, tapirs are usually sensitive to
habitat loss and human disturbance (Cove et al.,
2014; Garmendia et al., 2013), although at Selva
Verde (SV) site, some individuals were detected
not far from the lodge and main road.
We were unable to obtain records of some
species expected in the region, such as the
jaguar and puma, even in the sites closest to
BCNP. However, both jaguar and pumas have
been seen by locals in the study area (Mat-
tey, personal communication 2015). Although
these mammals tend to prefer trails where
cameras were located (Arroyo-Arce et al., 2014;
Chávez, 2010; Conde et al., 2010; Kelly, 2008;
Silver et al., 2004; Trolle & Kéry, 2005), the
lack of detections might have been the result
of our sampling design and the relatively short
period of time of the study. Another spe-
cies not detected in our study area was the
Northern Naked Tailed Armadillo (Cabassous
centralis) which resides mostly underground
(Wilson & Mittermeier, 2009), so it is a rare
species in camera trap studies. Similarly, the
Neotropical River otter (Lontra longicaudis)
prefers aquatic environments, and the Mexican
Hary Dwarf Porcupine is an arboreal mammal
(Wilson & Mittermeier, 2009), so they may
also go undetected by cameras. In contrast, the
Giant Anteater (Myrmecophaga tridactyla) is
believed to have been extirpated from the area
(Wainwright & Arias-Sánchez, 2007), while the
White-lipped peccary (Tayassu pecari), popula-
tion now occurs mostly in Corcovado National
Park (Carrillo et al., 2002). Although detec-
tion was reduced for other species like Central
American Red Brocket and Forest rabbit (Syl-
vilagus gabbii), they are not extirpated from the
area as some suggest (Cove et al., 2012). Their
low incidence may be due to differences in
habitat preferences or low population densitiesv
(Wilson & Mittermeier, 2009), It is important to
note that the lack of records of a given species
during our study does not mean that it is absent
or extinct. Indeed, the presence of domestic
dogs and the robbery of four cameras sug-
gest poaching pressure. It is likely that human
pressure is causing the reduction of some spe-
cies of mammals (e.g. Spotted Pacas, Central
American Agouti, Collared Peccary and Cen-
tral American Red Brocket), affecting forest
ecosystems processes and interactions within
mammal communities (Arias Le Claire, 2000;
Asquith et al., 1997; Bodmeret al., 1997; Forget
& Milleron, 1991; Guariguata et al., 2000). The
fact that most of the species detected in sites
near pineapple plantations are listed under the
least concern category (Appendix 3), suggests
that the persistence of generalist species such
as raccoons, coatis and Grey Four-eyed opos-
sums, are least affected by land modifications
12 Revista de Biología Tropical, ISSN: 2215-2075 Vol. 73 (S1): e64706, mayo 2025 (Publicado May. 15, 2025)
(Parry et al., 2007; Tejeda-Cruz et al., 2009).
The absence of Central American Agouti in this
area is of great concern, since this species’ home
range is around 2 ha and they are territorial and
locally common (Wainwright & Arias-Sánchez,
2007). It is possible that habitat alteration and
poaching are heavily impacting this species.
The results of this study draw attention
to the biological importance and conserva-
tion value of forest fragments, as many mam-
mal species persist in fragmented landscapes
(Bruna et al., 2010; Lyra-Jorge et al., 2008).
Species-specific responses to habitat loss and
fragmentation are related to interspecific differ-
ences in the perception of landscape structure
and the scale of habitat alteration (Lima & Zoll-
ner, 1996; Lord & Norton, 1990; Vos et al., 2001;
Zollner & Lima, 1997). For example, larger
species with extensive home ranges are able to
perceive landscapes as more homogenous than
smaller and less vagile species (Elmhagen &
Angerbjörn, 2001; Gehring & Swihart, 2003;
Lyra-Jorge et al., 2008). In addition, some
animals may even adapt to modifications to
their original habitats (McDougall et al., 2006;
Morán-López et al., 2006; Tabeni & Ojeda,
2005). Our results suggest that many large and
medium sized mammals in fragmented land-
scapes explore the region as a whole, and are
not necessarily restricted to the native vegeta-
tion patches (Donadio et al., 2001; Franklin et
al., 1999; Lyra-Jorge et al., 2008), such as Coy-
otes and Tayras that adapt to human-modified
landscapes (Lyra-Jorge et al., 2008).
In conclusion, it is necessary to preserve
large as well as small forest fragments, includ-
ing riparian forests that serve as corridors
between otherwise isolated forest fragments.
Also, scattered trees and living fences within
the landscape enhance quality and increase
the permeability of the matrix (Umetsu & Par-
dini, 2007). Finally, the conservation of private
nature reserves can increase landscape con-
nectivity and habitat availability, thus favoring
inter-patch movements. Both forest cover and
matrix quality are key in determining the com-
plex ecological dynamics for the maintenance
of mammal species diversity in agricultural
landscapes (Fahrig, 2013; Kupfer et al., 2006).
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