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Revista de Biología Tropical

On-line version ISSN 0034-7744Print version ISSN 0034-7744

Rev. biol. trop vol.69 n.4 San José Oct./Dec. 2021

http://dx.doi.org/10.15517/rbt.v69i4.48024 

Artículo

Vertical stratification of arthropods in the dry ecosystems of Colombian Guyana: morphological patterns and their ecological implications

Estratificación vertical de artrópodos en ecosistemas secos de la Guayana colombiana: patrones morfológicos y sus implicaciones ecológicas

Edgar-Camero Rubio1 
http://orcid.org/0000-0002-4639-0564

Johanna-Paola Cárdenas2 
http://orcid.org/0000-0002-9379-7818

Jaime-Marín Ballesteros1 
http://orcid.org/0000-0001-9062-1852

1. Departamento de Biología, Universidad Nacional de Colombia, Bogotá D. C., Colombia; eecameror@unal.edu.co (*Correspondence), jmarinb@unal.edu.co

2. Departamento de Biología, Universidad Pedagógica Nacional, Bogotá D. C., Colombia; jpcardenash@unal.edu.co

Abstract

Introduction:

Despite growing interest by the ecosystems derived from the Guyanese formations, the vertical structure of the communities and relationships of the biota with the climatic conditions in these ecosystems are unknown.

Objective:

Characterize the structure and vertical composition of the arthropod fauna associated with three of the most representative ecosystems of the Northern area of the serranía de La Lindosa in Colombia based on morphological and ecological parameters.

Methods:

The arthropod fauna was sampled, from the subsurface soil level to the shrub and tree stratum. The fauna was determined up to the level of family or supraspecific group and the values of Alfa and Beta diversity were determined. Body length measurements were made, and the coloration and trophic level of each group were determined.

Results:

The composition and diversity of the arthropod fauna was different in each ecosystem and vertical stratum and most of the groups in all the ecosystems studied present low abundances. Groups of phytophagous and predatory habits were frequent in all ecosystems and the highest biomass of arthropod fauna comes from groups of polyphagous habits, of medium size and great abundance. Light and dark colorations are the most frequent in landscape-scale.

Conclusion:

The ecosystems studied are characterized by the low values of diversity and replacement and the large number of non-shared groups that apparently respond to the microclimatic characteristics; however, there are some generalities on a landsc ape scale such as the greater richness and abundance of groups in the intermediate strata, the greater proportion of groups with phytophagous habits and medium body sizes, and the predominance of dark colorations in the lower strata.

Key words: arthropods; vertical stratification; functional groups; trophic guilds; Colombian Guyana

Resumen

Introducción:

A pesar del interés que despiertan los ecosistemas derivados de las formaciones guyanesas, se desconoce la estructura vertical de las comunidades y las relaciones de la biota con las condiciones climáticas.

Objetivo:

Caracterizar la estructura y composición vertical de la artropofauna asociada a tres de los ecosistemas más representativos de la zona norte de la serranía de La Lindosa en Colombia, con base en parámetros morfológicos y ecológicos.

Métodos:

Se muestreó la artropofauna, desde el nivel del suelo subsuperficial hasta los estratos arbustivos y arbóreos, y se identificó hasta el nivel de familia o grupo supraespecífico. Se determinaron los valores de diversidad Alfa y Beta, se realizaron mediciones de la longitud corporal y se determinó la coloración y el nivel trófico de cada grupo.

Resultados:

La composición y diversidad de la artropofauna fue diferente en cada ecosistema y estrato vertical y la mayoría de los grupos de artrópodos en todos los ecosistemas estudiados presentan abundancias bajas. Los grupos de hábitos fitófagos y depredadores fueron frecuentes en todos los ecosistemas y la mayor biomasa de artropofauna proviene de grupos de hábitos polífagos, de tamaño medio y de gran abundancia. Las coloraciones claras y oscuras son las más frecuentes a escala de paisaje.

Conclusión:

Los ecosistemas estudiados se caracterizan por los bajos valores de diversidad y recambio y por la gran cantidad de grupos no compartidos que aparentemente responden a las características microclimáticas; sin embargo, existen algunas generalidades a escala de paisaje como la mayor riqueza y abundancia de grupos en los estratos intermedios, la mayor proporción de grupos de hábitos fitófagos y tallas corporales medianas y el predominio de coloraciones oscuras en los estratos inferiores.

Palabras clave: artrópodos; estratificación vertical; grupos funcionales; gremios tróficos; Guyana colombiana

Introduction

Arthropods are the most diverse group of animals in nature. Their evolutionary history has allowed them to adapt to all the climates and ecosystems on the planet where they perform different functions by virtue of the multiplicity of their habits. Although they have been studied in almost all their aspects, their ecology, the preference of their habitats and their adaptations to environmental demands are the source of recent studies (Chown & Nicolson, 2004; Dillon & Lozier, 2019). Factors such as temperature, the amount of light, exposure to rain and wind, as well as the quantity and quality of available resources, influence their distribution in the different stratum of tropical forests (Basset et al., 2003). The influence of climate on insects for example, triggers a series of morpho-physiological transformations that include strategies of evasion, adaptation, or resistance with great ecological and evolutionary implications (Colinet et al., 2015; Danks, 2007). Characteristics such as size and color patterns in insects can influence inter- and intraspecific competition, thermoregulation, activity levels, and resource use (Gentile et al., 2021; Peters, 1983), since ectothermic organisms depend on external sources of heat for the internal regulation of their body temperature (Chown & Nicolson, 2004; Forsman et al., 2008).

The Colombian Guyana is part of the Western biogeographic province of the Guiana Shield that is subdivided into five districts and 12 endemic areas (Hernández et al., 1992). Its geoforms are made up of rocky outcrops with very shallow soils with little vegetation cover, steep slopes, and the evident influence of physical weathering, made up of a series of mountain ranges, mountains, hills, and savannas, among which those of Chiribiquete, La Macarena, El Tuparro, Araracuara, Taraira, Naquén, Lajas de Guainía and La Lindosa stand out, which were linked in the Tertiary to the Guiana and Brazilian shields (Gentry, 1982; Giraldo-Cañas, 2001) so they share much of their floristic and fauna, in addition to a many endemisms (Camero, 2019; Giraldo-Cañas, 2001).

The Sierra de La Lindosa is a low mountain range located in the transitional zone between the large regions of Orinoquia and the Colombian Amazon and greatly affects regional climatic characteristics. The soils are derived from sedimentary rocks of Cretaceous age that contain a high content of iron that gives them a reddish color. They are loamy to sandy soils, little-evolved and well-drained, with an acidic pH, not very fertile, and with low nutrient content (Botero et al., 2018). The climatic and soil characteristics favor the development of low forests, open bushes and savannas with varied herbaceous elements, such as shrubs and stunted trees that tend to be perennial, leathery, and with a marked xeromorphic appearance (Hernández & Sánchez, 1992). The typical vegetation of the low forests is composed of communities of a few individual trees with irregular canopies and very little cover, with heights of up to 8 m. The bushes are located on the rocky outcrops and are composed of few species in general belonging to the families: Annonaceae, Asteraceae, Bonnetiaceae, Clusiaceae, Melastomataceae, Myrtaceae, Rubiaceae, and Tepuianthaceae and herbaceous species of the genera: Aechmea, Anemia, Axonopus, Diacidia, Navia, Selaginella, Schizachyrium and Vellozia. The savannas are made up of different types of communities, among which: Aeschynomene, Andropogon, Axonopus, Bulbostylis, Calea, Clitoria, Desmodium, Drosera, Hyptis, Nautilocalyx, Otachyrium, Panicum, Paspalum, Sipanea, Sipaneopsis, Siphantera, Trachypogon, Utricularia and Xyris species stand out (Giraldo-Cañas, 2001).

Despite the great interest aroused by the particularities of the ecosystems that are formed under the climatic conditions of the Guiana Shield, most of the research that has been accomplished in this region covers vegetational aspects and analyze the composition of insect and invertebrate faunas and other animal groups. But there is little research that seeks to establish adaptations of biota to this type of environment that has great climatic demands. The present research seeks to establish the differences in the conformation of the arthropod fauna found under the most representative plant communities in the Northern parts of the Sierra de La Lindosa mountain range in Colombia, based on the variations in the ecological parameters and on some morphological attributes, under the hypothesis of the evident climatic incidence in the structure and adaptations of arthropod communities.

Materials and methods

Study area: The Sierra de La Lindosa has an area of 12 000 hectares and is located within the Guaviare geographical region in Colombia; it is geologically influenced by the Guiana Shield and climatically influenced by the Orinoquia and Amazonian regions. The regional climate has a mean temperature of 25.7 °C with a variation of less than 2 °C and a mean annual range of precipitation of between 3 000 to 4 000 mm with a monomodal climatic regime, with the greatest precipitation between the months of May and June and the lowest rainfall between the months of January and February (IGAC, 1979). Under these conditions, different pedobiomes develop that range from lithophytic forests and xerophytic scrub to different types of savannas that are matrices of a great variety of ecological landscapes (Hernández & Sánchez, 1992). The mountain range is located near the municipality of San José del Guaviare where three sampling stations belonging to three different plant communities were located: casmophytic savannas (M1) located at 2°30’45” N & 72°42’52” W at 320 m.a.s.l.; xerophytic scrub (M2) located between 2°30’42” N & 72°42’41” W at 345 m.a.s.l. and lithophytic forests (M3) located between 2°30’12” N & 72°41’17” W at 315 m.a.s.l. (Fig. 1).

Fig. 1 Location of the sampling stations in the La Lindosa mountains - Colombia. 

Sampling and data analysis: Arthropods captures were made in four vertical strata during years 2014 and 2015: 1) subsurface soil without vegetation from 0 to 20 cm deep, 2) herbaceous or litter layer, 3) shrub stratum, and 4) canopy above 10 m. For the subsurface stratum, five samples were analyzed by the extraction of 1 kg of soil per sample using Berlese funnels (Berlese, 1905; Tullgren, 1918). For the capture of organisms from the herbaceous stratum ten pitfall traps of 500 ml were located in a straight line and separated by distances of 10 m within random transects (Greenslade, 1964; Sabu et al., 2011). The samplings in the shrub stratum were carried out using two intensive methods: 1) 6 replications of 100 entomological net passes on the vegetation, and 2) the installation of flight interception traps with volatile bait at a height of 2 m (Peck & Davies, 1980). A variation of the latter trap was used above 10 m to capture arthropods in the canopy stratum for a minimum time of 48 hours. Physicochemical analyses were carried out for soil samples, including the texture, pH, conductivity, amount of organic matter (OM), percentage of roots, humidity, porosity, and field capacity (CC) and these were related to the fauna collected in the edaphic strata. For the other stratum the variables temperature and relative humidity were measured by means of a conventional multimeter.

Samples by stratum and ecosystem were labeled and transported in 70 % alcohol to the Ecology Laboratory of the National University of Colombia for the measurement of the morpho-ecological characteristics and for the taxonomic determination to family or supraspecific group by using the keys from Grimaldi and Engel (2005), Gullan and Craston (2010) and Johnson and Triplehorn (2005), and confirming the valid names in Species 2000 and in the ITIS Catalog (Roskov et al., 2019).

For the ecomorphological attributes, trophic guilds were assigned for each group after bibliographic consultations. The average body length of each of the collected groups was evaluated since head to apice abdomen, as well as the coloration according to the following numerical range: 1- for white-yellow-cream colors, 2- for black-brown, 3- for orange-red and 4- for blue-green. Biomass (Bc) was evaluated using a formula proposed by Stork and Blackburn (1993), that considers the number of individuals (N) and the average body length (L):

Bc = N (0.0305 L2.62)

The trophic levels of the fauna were included in eight categories according to Price (1984): phytophagous, polyphage, fungivores, dung, saprophagus, hematophage, predator and parasites/parasitoids, including within the phytophagous habits those groups of arthropods, especially insects, that feed on various plant organs and that contemplate defoliators, choppers, suckers, and miners.

For data analysis we evaluated the efficiency of the sampling by means of the Chao-1 estimator to find the richness completeness of groups by relating the observed species richness with the estimated richness and by the negative binomial method using the richness values of the groups in the different sample units. Additionally, we carried out an exploratory box-plot analysis to evaluate the similarities between ecosystems (Chao & Jost, 2012; Magurran, 1989). Abundance models from the richness values of the collected groups were determined, as well as Bray-Curtis similarity dendrograms from the abundance data through the single-linkage method, and the Brillouin diversity values (B) most recommended for this type of sampling (Magurran, 1989). The Simpson dominance (D) and fairness (1-D) and Wittaker beta diversity values (aW) between ecosystems and layers were calculated from abundance values of the groups by using the STATS (Bolar, 2019), MASS (Ripley et al., 2020) and CAR (Fox et al., 2020) packages in the R programming language v. 4.0.3 (R Development Core Team, 2017), validated using Kruskal-Wallis tests. A canonical correspondence analysis (CCA) was made to determine the relationship between the physicochemical factors and the collected groups. Finally, we established the total distribution of biomass in relation to the associations in each ecosystem and determined the affinity of the fauna to the sampling sites by means of a correspondence analysis (DCA) using the PAST software v. 2.15 (Hammer et al., 2001).

Results

Abundance and diversity: We collected 4 276 individuals in the study area including 18 orders and 112 families or supraspecific groups (Table 1). We collected 48 % of the individuals in the xerophytic scrub, 27 % in the casmophytic savanna, and the remaining 25 % in the lithophytic forest. Of the 112 groups collected, 83 were obtained in the savanna, 68 in the scrub and 63 in the forest. Although there are differences in the diversity values between the three sampling points (Kruskal-Wallis, H = 7.3, P = 0.05) and between ecosystem layers, diversity at the landscape level is low and with low replacement values (aW); however, these results may vary throughout the climatic seasons. The highest faunal diversity and group equitability was obtained in the casmophyte savanna (M1) (HB = 3.15; 1-D = 0.89) and the lowest diversity was from the scrub (M2) (HB = 2.48) that at the same time had the highest dominance values (D = 0.25) (Table 2).

Table 1 Trophic guilds, colorations and relative abundances for arthropod fauna from ecosystems studied in the La Lindosa mountains 

Family/Group T. guild Color Cas_savanna Xeroph_Scrub Lith_Forest Family/Group T. guild Color Cas_savanna Xeroph_Scrub Lith_Forest
1 Acari Pol 2 0.0104 0.0049 0.0047 92 Lonchopteridae Phyt 1 0.0060 - -
2 Acari Pol 1 0.0009 0.0019 0.0056 93 Lygaeidae Phyt 2 0.0026 - -
3 Acrididae Phyt 2 0.0035 0.0005 0.0019 94 Mantidae Pred 1 0.0009 - -
4 Aeolothripidae Phyt 2 - - 0.0028 95 Mantidae Pred 2 0.0009 0.0005 -
5 Agromyzidae Phyt 2 - - 0.0019 96 Mantidae Pred 4 0.0017 - -
6 Agromyzidae Phyt 2 - 0.0039 - 97 Membracidae Phyt 2 0.0009 - -
7 Anthophoridae Sap 2 - 0.0010 - 98 Membracidae Phyt 1 0.0009 - -
8 Aphididae Phyt 1 0.0078 - 0.0009 99 Membracidae Phyt 3 0.0294 - -
9 Apidae Phyt 2 0.0112 - - 100 Miridae Phyt 2 0.0112 0.0005 -
10 Apidae Phyt 1 0.0095 0.0233 - 101 Muscidae Dung 2 0.0017 0.0034 0.0094
11 Aranae Pred 1 0.0233 0.0161 0.0198 102 Mycetophilidae Fung 1 0.0026 0.0010 -
12 Aranae Pred 2 0.0009 0.0019 0.0038 103 Mycetophilidae Fung 2 0.0017 0.0024 0.0009
13 Argidae Phyt 1 - - 0.0019 104 Mymaridae Psd 2 - - 0.0009
14 Asilidae Pred 2 - 0.0005 - 105 Mymaridae Psd 1 - 0.0010 -
15 Blattidae Phyt 1 0.0017 - 0.0028 106 Nitidulidae Phyt 1 - 0.0078 0.2825
16 Blattidae Pol 2 - 0.0005 0.0056 107 Nitidulidae Phyt 2 0.0181 - 0
17 Blattidae Pol 1 - 0.0005 - 108 Oligotomidae Phyt 2 0.0009 - 0.0009
18 Braconidae Psd 1 - 0.0024 0.0028 109 Onychiuridae Sap 1 0.0009 0.0010 0.0019
19 Buprestidae Pol 1 0.0017 - - 110 Otididae Phyt 2 0.0026 - 0.0019
20 Carabidae Pred 2 - 0.0005 - 111 Pentatomidae Phyt 1 0.0017 - -
21 Cecidomyiidae Phyt 2 0.0043 - 0.0019 112 Pentatomidae Phyt 2 0.0035 - -
22 Cecidomyiidae Phyt 1 0.0052 0.0058 0.0358 113 Pergidae Hem 2 0.0009 - -
23 Ceratopogonidae Hem 2 0.0535 0.0034 0.0235 114 Phoridae Sap 1 0.0017 0.0058 0.0217
24 Ceratopogonidae Hem 1 0.0086 0.0005 0.0019 115 Phoridae Sap 2 0.0026 0.0165 0.0056
25 Cercopidae Phyt 1 0.0173 - - 116 Piesmatidae Phyt 2 - 0.0005 -
26 Chalcidoidea Psd 2 0.0121 0.0019 0.0104 117 Pompilidae Pred 2 - 0.0005 -
27 Chalcidoidea Psd 1 0.0086 0.0024 - 118 Proscopiidae Phyt 1 0.0009 - -
28 Chironomidae Phyt 1 0.0026 0.0010 0.0019 119 Proscopiidae Phyt 2 - - 0.0009
29 Chironomidae Phyt 2 0.0009 0.0005 0.0038 120 Proscopiidae Phyt 2 0.0026 - -
30 Chrysomelidae Phyt 1 0.0026 0.0010 0.0009 121 Pselaphidae Pred 1 0.0017 0.0005 -
31 Chrysomelidae Phyt 2 0.0009 0.0010 0.0047 122 Psocoptera Pol 1 - 0.0010 -
32 Chrysomelidae Phyt 4 - 0.0010 0.0009 123 Psychodidae Pol 1 0.0026 - 0.0009
33 Chrysopidae Phyt 4 0.0009 - - 124 Psychodidae Hem 1 0.0017 - 0.0009
34 Chrysopidae Phyt 1 0.0060 - - 125 Ptiliidae Fung 2 0.0017 0.0068 -
35 Cicadellidae Phyt 1 0.0060 - 0.0009 126 Ptiliidae Fung 1 0.0130 - -
36 Cicadellidae Phyt 2 0.0017 0.0015 - 127 Reduviidae Hem 3 0.0035 - 0.0009
37 Cicadellidae Phyt 3 - - 0.0019 128 Reduviidae Hem 1 0.0009 - 0.0009
38 Crabronidae Phyt 1 0.0009 - - 129 Reduviidae Hem 4 0.0043 - -
39 Culicidae Hem 1 0.0181 0.0049 0.0395 130 Reduviidae Hem 2 - 0.0005 0.0019
40 Culicidae Hem 2 0.0035 0.0058 0.0028 131 Rhagionidae Pred 2 0.0035 0.0005 -
41 Culicidae Hem 1 - 0.0039 - 132 Richardiidae Phyt 1 - 0.0005 -
42 Curculionidae Phyt 2 0.0155 0.0019 0.0047 133 Riodinidae Phyt 4 0.0250 0.0092 0.0160
43 Curculionidae Phyt 1 0.0086 - 0.0141 134 Scarabaeidae Dung 1 - - 0.0009
44 Cydnidae Phyt 2 0.0026 0.0224 0.0009 135 Scarabaeidae Dung 4 - - 0.0019
45 Cydnidae Phyt 1 - - 0.0009 136 Scarabaeidae Dung 2 0.0017 - 0.0038
46 Cynipidae Phyt 2 - - 0.0009 137 Scarabaeidae Dung 1 - 0.0010 -
47 Delphacidae Phyt 1 0.0276 - - 138 Scarabaeidae Dung 2 - 0.0019 -
48 Dictyopharidae Phyt 1 0.0009 - 0.0009 139 Sciaridae Fung 1 0.0112 0.0015 0.0019
49 Dipsocoridae Pred 1 0.0017 - - 140 Sciaridae Fung 2 0.0095 0.0034 0.0047
50 Dipsocoridae Pred 2 - - 0.0009 141 Sciomyzidae Phyt 1 - - 0.0009
51 Dixidae Phyt 1 0.0302 - - 142 Scolytidae Xyl 2 0.0052 0.0005 0.0009
52 Dolichopodidae Pred 2 0.0009 0.0068 0.0028 143 Scolytidae Xyl 2 - 0.0131 -
53 Dolichopodidae Pred 4 0.0009 - 0.0019 144 Scolytidae Xyl 1 - 0.0044 -
54 Drosophilidae Phyt 2 0.0009 0.0112 0.0104 145 Scorpiones Pred 2 0.0009 - -
55 Drosophilidae Phyt 1 0.0017 0.0024 0.0019 146 Scydmaenidae Pred 1 0.0009 0.0015 -
56 Drosophilidae Phyt 3 - - 0.0056 147 Simuliidae Phyt 1 - 0.0015 0.0009
57 Elateridae Phyt 1 - 0.0010 0.0009 148 Simuliidae Phyt 2 - 0.0005 -
58 Elateridae Phyt 2 - - 0.0009 149 Sminthuridae Sap 3 0.0017 0.0010 -
59 Embiidina Phyt 1 - - 0.0009 150 Sminthuridae Sap 2 - 0.0088 0.0085
60 Empididae Phyt 2 - - 0.0047 151 Sminthuridae Sap 1 0.0026 0.0088 0.0734
61 Entomobryidae Sap 1 0.0121 0.0063 0.0330 152 Sminthuridae Sap 4 - 0.0029 -
62 Entomobryidae Sap 2 - 0.0010 - 153 Sphaeroceridae Sap 2 0.0043 - 0.0019
63 Ephydridae Phyt 1 - - 0.0009 154 Sphaeroceridae Sap 1 0.0009 - -
64 Ephydridae Phyt 2 0.0069 0.0005 0.0028 155 Sphaeroceridae Sap 2 - 0.0005 -
65 Eulophidae Psd 2 0.0026 - - 156 Sphecidae Sap 2 0.0009 - -
66 Eurytomidae Psd 2 - 0.0005 - 157 Staphylinidae Pol 2 0.0026 0.0083 0.1318
67 Flatidae Phyt 2 - - 0.0009 158 Staphylinidae Pol 1 0.0190 0.0136 0.0198
68 Forficulidae Phyt 2 0.0017 - - 159 Stratiomyidae Sap 2 - 0.0005 -
69 Formicidae Phyt 1 0.0043 0.0438 0.0113 160 Syrphidae Phyt 2 0.0104 0.0019 -
70 Formicidae Pol 2 0.3066 0.6308 0.0678 161 Tabanidae Hem 2 - 0.0005 -
71 Formicidae Phyt 3 - - 0.0019 162 Tachinidae Psd 2 0.0242 0.0010 0.0009
72 Fulgoroidea Phyt 1 0.0173 0.0019 0.0151 163 Tenthredinidae Phyt 1 0.0009 - -
73 Fulgoroidea Phyt 2 0.0009 0.0005 0.0009 164 Tephritidae Dung 2 0.0009 - 0.0038
74 Fulgoroidea Phyt 3 - - 0.0009 165 Termitidae Xyl 1 - - 0.0019
75 Geometridae Phyt 2 0.0017 - - 166 Tetrigidae Phyt 1 0.0043 - -
76 Gryllacrididae Pred 1 - - 0.0009 167 Tettigoniidae Phyt 1 0.0009 - -
77 Gryllacrididae Phyt 4 0.0043 - - 168 Tettigoniidae Phyt 2 - 0.0010 -
78 Gryllidae Pol 2 0.0535 - - 169 Therevidae Hem 2 0.0009 - -
79 Gryllidae Pol 1 - - 0.0009 170 Thripidae Phyt 1 0.0009 0.0044 0.0009
80 Gryllotalpidae Pred 1 0.0017 - 0.0019 171 Thripidae Phyt 2 - 0.0005 -
81 Gryllotalpidae Phyt 4 - - 0.0019 172 Tingidae Phyt 2 - 0.0005 -
82 Halictidae Phyt 4 0.0017 - - 173 Tipulidae Phyt 1 - 0.0019 0.0009
83 Histeridae Pred 2 - 0.0005 - 174 Tipulidae Phyt 2 - - 0.0028
84 Hydrophilidae Phyt 2 - 0.0117 0.0038 175 Torymidae Phyt 2 - - 0.0009
85 Isopteridae Sap 1 - 0.0131 - 176 Trichogrammatidae Psd 2 0.0009 - -
86 Isopteridae Sap 5 - 0.0015 - 177 Trogidae Pol 2 - 0.0005 -
87 Labiduridae Sap 2 0.0009 0.0015 - 178 Ulidiidae Phyt 2 - - 0.0019
88 Labiidae Sap 1 0.0009 - - 179 Veliidae Phyt 2 0.0026 - -
89 Laemophloeidae Phyt 1 - - 0.0009 180 Vespidae Pred 1 0.0009 - -
90 Lauxaniidae Phyt 1 0.0009 0.0005 - 181 Vespidae Pred 2 - - 0.0009
91 Lauxaniidae Phyt 2 0.0026 0.0019 - 182 Vespidae Pred 1 - 0.0005 -

Exclusive groups are highlighted in bold. Trophic guilds: Phyt: phytophagous, Pol: polyphage, Fung: fungivores, Dung, Sap: saprophagus, Xyl: xylophagous, Hem: hematophagous, Pred: predator, Psd: parasites/parasitoids. Body colorations: 1: white-yellow-cream, 2: black-brown, 3: orange-red, 4: blue-green.

Table 2 Diversity estimators for the ecosystems studied in the La Lindosa mountains - Colombia 

Alpha diversity
Casm_Savanna (M1) Xeroph_Scrub (M2) Lith_Forest (M3)
Taxa 113 95 96
Individuals (n) 1158 2056 1062
Dominance (D) 0.12 0.25 0.12
Simpson (1-D) 0.89 0.74 0.88
Brillouin (HB) 3.15 2.48 2.85
Chao-1 140 120.4 126.3
Compl (%) 80.7 78.9 76.0
Beta diversity (aW)
Casm_Savanna Xeroph_Scrub Lith_Forest
Casm_Savanna 0 0.47115 0.45455
Xeroph_Scrub 0.47115 0 0.47644
Lith_Forest 0.45455 0.47644 0

The abundance and composition of the groups varied from one ecosystem to another and between each of the vertical stratum. At the ecosystem level (and in general for its stratum) there was an equitable distribution of abundance between the dominant groups and the few exclusive low-abundance groups that can be seen in the graphs of the abundance models and in their greater adjustment to the logarithmic models. The expected richness in the sampling sites was higher than that found according to the values in the Chao-1 index, from which the calculation of the percentage of completeness is derived and that was higher in the savanna ecosystem (80.7 %) and lower in the forest ecosystem (76.0 %); so, most of the richness of the arthropod fauna in the study area was collected through the sampling techniques used. Relative abundances of arthropod fauna for each ecosystem are observed in Table 1. In the case of exclusive groups, these represent between 15 and 30 % of the fauna collected in the three ecosystems, suggesting a very similar fauna composition in all of them (Fig. 2A, Fig. 2B), reflected in the mean values of beta diversity and in the low replacement values (Table 2). The exclusive groups for each ecosystem are highlighted in Table 1.

Fig. 2 A. Bar-chart analysis, B. similarity of Bray-Curtis, P = 0.91. and C. Correspondence (DCA), Eigenvalues: axis 1 = 0.63, axis 2 = 0.09, for the ecosystems studied in the La Lindosa mountains - Colombia. The number assigned to each group corresponds to Table 1.  

Fig. 3 Canonical correspondence analysis (CCA) for the physicochemical variables and the groups of the arthropod fauna of the subsurface layer of the soil in ecosystems of the La Lindosa mountains. Numbers to each group correspond to Table 1. Eigenvalues: Axis 1 = 0.68; Axis 2 = 0.56. 

Nitidulidae, Phoridae, Sciaridae, Sminthuridae and Termitidae groups with field capacity, temperature, and fine textural fractions, and the Entomobryidae and Staphylinidae families with the pH.

Trophic guilds and biomass: The phytophagous guild, including the groups of defoliators, cutters, suckers and miners, was the most abundant in the three ecosystems and in all the strata, followed by the predatory, blood-sucking and saprophagous groups (Fig. 4A). The proportion of trophic guilds had a greater abundance of phytophagous, predator, and hematophagous groups in the strata of the casmophytic savanna and the lithophytic forest, and of the phytophagous, saprophagous and predatory groups in the xerophytic scrub.

Fig. 4 A. Percentage of trophic guilds B. and proportion of biomass for functional groups of arthropods in ecosystems of the La Lindosa mountains - Colombia. 

Although the phytophagous guilds were the most abundant in all ecosystems, the highest biomass especially in the savanna and scrub ecosystems comes from the polyphagous habit groups (Kruskal-Wallis, H = 11.76, P = 0.05). These groups reach about 40 % of the biomass in the savannas, more than 60 % in the bushes and scrub and more than 20 % of the biomass in the forests (Fig. 4B). The guild is comprised especially of the most abundant groups such as Formicidae, Gryllidae and Staphylinidae in the savanna and scrub ecosystems, and by the groups such as the Cecidomyiidae, Curculionidae, Drosophilidae, Formicidae, Fulgoridae and Riodinidae in the forest ecosystem. By stratum, the highest biomass values were found in the shrub stratum, while the lowest values were recorded in the edaphic stratum of all ecosystems.

Body size and coloration: About 60 % of the 112 groups collected had variations of mean body sizes due to the capture of more than one morphospecies, making the number of groups registered in table 1 increase to 182 and allowing, at the same time, a more detailed characterization of body size distribution along the vertical structures of the ecosystems. Thus, for example, the family Blattidae in the shrub stratum, had an average size of 5.2 mm in the casmophytic savannas and 6.0 mm for the xerophytic shrubs; and two forms of the family Apidae in the shrub stratum of the savannas had mean lengths of 4.0 mm and 0.7 mm. Significant differences were found between the body lengths of the three ecosystems (Kruskal-Wallis, H = 11.27, P = 0.05). The largest range of body sizes was found in the shrub stratum of the savanna ecosystems where lengths of up to 45 mm were recorded (Fig. 5A), while the majority of sizes in the scrub ecosystems were recorded below 10 mm (Fig. 5B). In the stratum of all ecosystems, a high percentage of individuals with body sizes between 2.0 mm and 4.9 mm was observed, this being the most frequent range of body lengths at the landscape level (Fig. 5A, Fig. 5B, Fig. 5C).

Fig. 5 Body sizes (left) and size frequency (right) of arthropod fauna in A. The stratum of savanna B. Scrub and C. Forest ecosystems in the La Lindosa mountains - Colombia. 

The light body colorations that comprise the white-yellow-cream tones and the dark black-brown colors are the most frequent in all the ecosystems. The showy colors in orange and red or blue and green tones are less frequent and constitute less than 10 % of the body colors of arthropod fauna at the landscape scale in all the ecosystems and stratum (Fig. 6A, Fig. 6B, Fig. 6C). In the case of the xerophytic scrubs, dark colors are more frequent, followed by light colors in the lower stratum.

Fig. 6 Proportion of body color in the different stratum of the A. Savanna B. Scrub and C. Forest ecosystems in the La Lindosa mountains - Colombia. 

Discussion

Abundance and Diversity: The results generally show a low diversity typical of this type of zones derived from Guiana Shield geological formations and extreme climatic conditions with mostly sandy soils and little retained humidity (Gentry, 1982; Hernández et al., 1992). The low group turnover values measured by the Wittaker index (aW), showed a low number of shared groups, so that each ecosystem showed a very particular faunal composition that was reflected in the low similarity values (Halffter & Escurra, 1992). According to Cornell and Lawton (1992), these low exchange values between the local fauna and the regional pool are due to a saturation of local diversity by competition and predation that for the study area is related to the large amount of phytophagous and predator groups.

The number of exclusive groups in each ecosystem was close to 30 %. These groups that encompass many species could potentially include a large number of endemic elements that are very frequent in these environments formed historically under critical climatic and particular geological conditions (Hernández et al., 1992), so they represent great potential value to be used in ecological conservation (Raphael & Molina, 2007). On the other hand, according to the abundance models, for all ecosystems there are abundant groups with few individuals or “singletons” (rare taxa with only one individual), so that diversity does not only depend on richness but also on the number of rare or unique groups found in the community, and the higher the degree of dominance of a few groups and the lower abundance of the majority, the lower the diversity (Novotny & Basset, 2000). These spatial models are common in natural communities subjected to critical environmental conditions (Raphael & Molina, 2007).

Many of the physiological mechanisms, especially of insects, are highly dependent on environmental conditions; humidity and temperature are the most important determinants for the development and activity of insects (Basset et al., 2003; Chown & Nicolson, 2004). When comparatively evaluating the richness, abundance and diversity of the arthropod fauna in the vertical structure of the different ecosystems of the region, differences were found especially between the shrub fauna compared to the lower stratum and the forest canopy. This could be interpreted as a refuge effect of the understory in the face of higher temperature conditions in the canopy and the herbaceous stratum. The temperature, the humidity of the air affected by the solar radiation, and the transpiration of the vegetation produce microclimatic gradients that induce the mobility of the arthropods, according to their physiological tolerance and their habitat preferences for their feeding, incubation, or the development of juveniles (Chown & Nicolson, 2004). Temperature is closely related to most metabolic processes and complex physiological triggers that affect population dynamics in aspects such as metamorphosis and longevity (Chown & Nicolson, 2004). For the edaphic stratum, some variables closely related to the presence or abundance of some groups were identified with similar results to other studies already carried out in Colombia, such as the case of the relationships found between loamy textured soils with the highest abundance of the Acari, Phoridae, Sciaridae and Sminthuridae groups and of the relationship of pH to the Entomobryidae and Staphylinidae families (Camero & Chammorro, 2021).

Trophic guilds and biomass: The phytophagous guild was the most abundant in all the ecosystems studied and in all the strata. This guild also included many groups of arthropod polyphagous habits that take advantage of plant resources in their adult or immature forms, as well as at some stage of development in their life cycle (Johnson & Triplehorn, 2005). The phytophagous habits include many groups of arthropods, especially insects that specialize or take advantage of all plant tissues in a generalized way and are made up of groups of folivorous, chopping, sucking, mining, and sipping habits (Chown & Nicolson, 2004; Price, 1984). Under conditions of great climatic demand, such as in the case of the Sierra de La Lindosa mountain range, it is more common to find a greater abundance of generalist groups than specialized ones. These obtain the maximum benefits of hydration from the consumption of leaf structures and conducting tissues (Novotny et al., 2002).

Herbivory is the most important process in the transformation and the energy flow of ecosystems, quantifiable in the biomass of herbivorous fauna that assimilates around 20 % of the most palatable plant organs, either from surface tissues of exposed organs or their internal fluids (Del Val, 2012; Price, 1984). In natural ecosystems, most herbivorous insects are included especially within the orders Hymenoptera, Lepidoptera, Coleoptera, Diptera, Hemiptera and Orthoptera, whose energy and accumulated biomass is used by predatory and parasitic groups (Del Val, 2012). Predatory and parasitic groups represented in the ecosystems studied in the Sierra de La Lindosa are the groups Acari, Araneae, Ceratopogonidae, Chalcididae, Culicidae, Dolichopodidae, Gryllotalpidae, Mantidae, Pselaphidae, Rhangionidae, Scydmaenidae, Tachinidae and Vespidae.

The highest values of the total biomass were found in the scrub ecosystem where the greatest abundance of groups was found, followed by the biomass values of the savannas that at the same time had the highest groups richness. Biomass, then, depends more on the number of individuals than on the richness or diversity. In the savanna ecosystem, the largest body sizes were found but with little abundance, while the intermediate sizes of the groups collected in the bushes had a greater number of individuals. On the other hand, the direct incidence of solar radiation on ecosystems with an absence of arboreal vegetation requires greater mechanisms of tolerance for fauna to high temperatures. These faunal adaptations to the conditions of greater environmental demand, should tend to reduce the loss of body water and climate tolerance by reducing the surface/volume ratio (Danks, 2007).

In the herbaceous and edaphic stratum, the transformation of biomass is carried out especially by the groups that make up the saprophagous, coprophagous, xylophagous, and fungivorous guilds that contribute to nutrient release following the detrital pathway (Coleman & Wall, 2015; Odum & Barret, 2006). In the ecosystems of the study area, the biomass of these detritivore guilds represents around 20 % of the total biomass of the arthropod fauna of the lower stratum, and they are made up of the groups Anthophoridae, Entomobryidae, Labiduridae, Labiidae, Isopteridae, Muscidae, Mycetophilidae, Onychiuridae, Phoridae, Ptiliidae, Scarabaeidae, Sciaridae, Scolytidae, Sminthuridae, Sphaeroceridae, Sphecidae, Stratiomyidae, Tephritidae and Termitidae. Most of these groups permanently perform their ecological functions in these strata, but many others only perform temporary functions in some of their stages of development (Coleman & Wall, 2015).

Body size and coloration: Body length is a variable generally closely related to environmental conditions (Stork & Blackburn, 1993). Most of the body sizes of the arthropod fauna collected in all the vertical stratum of the study area are between 2.0 mm and 4.9 mm, followed by a higher frequency of smaller sizes. Although in all the ecosystems studied the greatest size variety was found in the shrub stratum, large body lengths are very rare, agreeing with Peters (1983) that they are a low proportion in natural ecosystems. Most of the sizes smaller than 2.0 mm correspond to groups that are within the scale of white-yellow-cream colors, while the sizes above 10 mm that could be considered as large, are mostly located within the black-brown color scale.

Large sizes, more frequent in the shrub stratum, have greater lengths ranging in savanna ecosystems (Fig. 5A), with sizes between 9.0 mm and 45.0 mm, corresponding to the groups Pentatomidae, Chrysopidae, Gryllidae, Reduviidae, Vespidae, Tettigoniidae, Proscopiidae and Mantidae; most of these groups are colored white-yellow-cream. In the xerophytic scrub (Fig. 5B), the longest ranges of lengths in the shrub stratum are between 9.5 mm and 17.0 mm in the Apidae, Mantidae, Asilidae and Riodinidae groups with black-brown colors; and in the shrub stratum of lithophytic forests (Fig. 5C), the longest ranges are between 10.0 mm and 25.0 mm in the Cynipidae, Scarabaeidae, Cydnidae, Blattidae, Vespidae and Riodinidae groups with a higher frequency of dark colors. The light colors that are very frequent in the upper strata allow a greater reflection of the incident of solar radiation on the arthropods´ surface and is of great value as an evasive mechanism to high temperatures caused by direct radiation. The dark tones, more common in the lower strata of bushes and forests decrease the activities of organisms and slow down resource consumption in high direct radiation environments (Danks, 2007; Forsman et al., 2008).

Regional characterization of the arthropod fauna: The ecosystems studied were characterized by low diversity values of arthropod communities, low exchange values, a high percentage of groups not shared between ecosystems and are made up of a particular faunal richness that responds to local microclimatic factors. The greater abundances were found in the intermediate strata where trophic structures are represented with a greater proportion of groups of phytophagous habits, body sizes between 2.0 and 5.0 mm and a predominance of dark colors. The general trends in length measurements in the three ecosystems are the largest means of sizes in the herbaceous stratum and the presence of smaller sizes in the subsurface soil stratum. The low frequency of large body sizes could be explained as a general adaptation of the fauna to climatic demands that under high temperature conditions favor small sizes (García-Barros, 2000).

There is a higher incidence of polyphagous and phytophagous groups in the total biomass of the ecosystems, and this does not depend on the presence of large sizes that generally have low abundances, but rather on the groups with intermediate sizes with higher abundances. The detritivore and mycophagous groups are much more frequent in the surface stratum of the soil of all ecosystems due to the greater supply of organic material (Basset et al., 2003).

Regarding vertical stratification and in the absence of a greater number of autoecological studies explaining habitat preference, this can only be interpreted considering the availability of resources (Basset et al., 2003). The intermediate strata (herbaceous and shrubs) contain greater food offers that are reflected in values of greater abundance and diversity with respect to the any other stratum.

Ethics statement: The authors declare that they all agree with this publication and that they have made contributions that justify their authorship; that there is no conflict of interest of any kind; and that they have complied with all relevant ethical and legal requirements and procedures. All funding sources are fully and clearly detailed in the acknowledgments section. The respective signed legal document is in the journal’s archives.

Acknowledgments

We thank the Faculty of Sciences and the Department of Biology of the National University of Colombia and the community of San José del Guaviare for making this research possible and Professor Thomas Defler of the Department of Biology of the Universidad Nacional de Colombia for reviewing the translation of the manuscript.

References

Basset, Y., Hammond, P. M., Barrios, H. E., & Miller, S. E. (2003). Vertical stratification of arthropod assemblages. In Y. Basset, V. Novotny, S. E. Miller, & R. L. Kitching (Eds.), Arthropods of Tropical Forests. Spatio-temporal Dynamics and Resource Use in the Canopy (pp. 17-27). Cambridge University Press. [ Links ]

Berlese, A. (1905). Apparecchio per raccogliere presto ed in gran numero piccoli artropodi. Redia, 2, 85-90. [ Links ]

Bolar, K. (2019). The STATS package. Interactive Document for Working with Basic Statistical Analysis. Kartikeya Bolar, Karnataka, India. https://cran.r-project.org/web/packages/STAT/STAT.pdfLinks ]

Botero, P., Serrano, H., & Amaya, J. A. (2018). Geología, hidrología y suelos de La Lindosa, Capricho y Cerritos. En C. Vriesendorp, N. Pitman, D. Alvira, A. Salazar, R. Botero, A. Arciniegas, L. de Souza, A. del Campo, D. F. Stotz, T. Wachter, A. Ravikumar, & J. Peplinski (Eds.), Colombia: La lindosa, Capricho, Cerritos. Rapid biological and social inventories (No. 29, pp. 88-99). The Field Museum. [ Links ]

Camero, E. (2019). Diversidad de escarabajos coprófagos (Coleoptera: Scarabaeidae) de la zona norte de la Serranía de La Lindosa, Guaviare-Colombia. Acta Biológica Colombiana, 24(2), 311-321. [ Links ]

Camero, E., & Chamorro, C. (2021). Artropofauna asociada a suelos de bosques altoandinos del Macizo Colombiano. Entomotropica, 36, 16-26. [ Links ]

Chao, A., & Jost, L. (2012). Coverage-based rarefaction and extrapolation: Standardizing samples by completeness rather than size. Ecology, 93(12), 2533-2547. [ Links ]

Chown, S. L., & Nicolson, S. W. (2004). Insect physiological ecology: mechanisms and patterns. Oxford University Press Inc. [ Links ]

Coleman, D. C., & Wall, D. H. (2015). Soil Fauna: Occurrence, Biodiversity, and Roles in Ecosystem Function. In E. A. Paul (Ed.), Soil microbiology, ecology and biochemistry (4th ed., pp. 111-150). Academic Press Pub. [ Links ]

Colinet, H., Sinclair, B. J., Vernon, P., & Renault, D. (2015). Insects in fluctuating thermal environments. Annual Review of Entomology, 60, 123-140. [ Links ]

Cornell, H. V., & Lawton, J. H. (1992). Species interactions, local and regional processes, and limits to the richness of ecological communities: a theoretical perspective. Journal of Animal Ecology, 61, 1-12. [ Links ]

Danks, H. V. (2007). The elements of seasonal adaptations in insects. Canadian Entomology, 139(1), 1-44. [ Links ]

Del Val, E. (2012). Herbivoría. En E. del Val, & K. Boege (Eds.), Ecología y evolución de las interacciones bióticas (pp. 43-75). Ediciones Científicas Universitarias, Fondo de Cultura Económica. [ Links ]

Dillon, M. E., & Lozier, J. D. (2019). Adaptation to the abiotic environment in insects: the influence of variability on ecophysiology and evolutionary genomics. Current Opinion in Insect Science, 36, 131-139. [ Links ]

Forsman, A., Ahnesjö, J., Caesar, S., & Karlsson, M. (2008). A model of ecological and evolutionary consequences of color polymorphism. Ecology, 89(1), 34-40. [ Links ]

Fox, J., Weisberg, S., Price, B., Adler, D., Bates, D., Baud-Bovy, G., Bolker, B., Ellison, S., Firth, D., Friendly, M., Gorjanc, G., Graves, S., Heiberger, R., Krivitsky, P., Laboissiere, R., Maechler, M., Monette, G., Murdoch, D., Nilsson, H., … Zeileis, A. (2020). The car Package. Companion to Applied Regression. John Fox and Sanford Weisberg, Thousand Oaks. https://cran.r-project.org/web/packages/car/car.pdfLinks ]

García-Barros, E. (2000). Clima y tamaño en mariposas diurnas (Lepidoptera: Papilionoidea). Boletín de la Asociación Española de Entomología, 24(1-2), 47-64. [ Links ]

Gentile, G., Bonelli, S., & Riva, F. (2021). Evaluating intraspecific variation in insect trait analysis. Ecological Entomology, 46(1), 11-18. [ Links ]

Gentry, A. (1982). Neotropical floristic diversity: Biogeographycal connections between Central and South America, Pleistocene fluctuations, or an accident of the Andean orogeny? Annals of the Missouri Botanical Garden, 69(3), 557-593. [ Links ]

Giraldo-Cañas, D. (2001). Relaciones fitogeográficas de las sierras y afloramientos rocosos de la Guayana colombiana: Un estudio preliminar. Revista Chilena de Historia Natural, 74(2), 353-364. [ Links ]

Greenslade, P. J. (1964). Pitfall trapping as a method for studying populations of Carabidae (Coleoptera). Journal of Animal Ecology, 33, 301-310. [ Links ]

Grimaldi, D., & Engel, M. (2005). Evolution of the insects. Cambridge University Press. [ Links ]

Gullan, P. J., & Craston, P. S. (2010). The insects: An outline of entomology (4th Ed.). John Wiley & Sons. [ Links ]

Halffter, G., & Escurra, E. (1992). ¿Qué es la biodiversidad? En G. Halffter (Ed.), La diversidad biológica de Iberoamérica I (pp. 3-24) Publicación del Instituto de Ecología, A. C. [ Links ]

Hammer, O., Harper, D. A. T., & Ryan, P. D. (2001). PAST: Paleontological Statistics Software Package for Education and Data Analysis. Paleontología Electrónica. http://palaeo-electronica.org/2001_1/past/issue1_01.htmLinks ]

Hernández, J., Hurtado, A., Ortiz, R., & Walschburger, T. (1992). Unidades Biogeográficas de Colombia. En G. Halffter (Ed.), La Diversidad biológica de Iberoamérica (pp. 105-153). Publicación del Instituto de Ecología, A. C. [ Links ]

Hernández, J., & Sánchez, H. (1992). Biomas de Colombia. En G. Halffter (Ed.), La diversidad biológica de Iberoamérica I (pp. 153-175). Publicación del Instituto de Ecología, A. C. [ Links ]

IGAC (Instituto Geografico “Agustin Codazzi). (1979). La Amazonía colombiana y sus recursos: Proyecto radargramétrico del Amazonas. Publicación del Instituto Geográfico “Agustín Codazzi”. [ Links ]

Johnson, N., & Triplehorn, C. A. (2005). Borror and DeLong’s introduction to the study of insects (7ª Ed.). Thomson Brooks/Cole. [ Links ]

Magurran, A. E. (1989) Ecological diversity and its measurement. Princeton University Press. [ Links ]

Novotny, V., & Basset, Y. (2000). Rare species in communities of tropical insect herbivores: pondering the mystery of singletons. Oikos, 89(3), 564-572. [ Links ]

Novotny, V., Basset, Y., Miller, S. E., Weiblen, G. D., Bremerk, B., Cizek, L., & Drozd, P. (2002). Host specificity of herbivorous insects in a tropical forest. Nature, 416(6883), 841-844. [ Links ]

Odum, E. P., & Barret, G. W. (2006). Fundamentos de ecología (6a Ed.). International Thomson Ed. [ Links ]

Peck, S. B., & Davies, A. E. (1980). Collecting small beetles with large-area “window” traps. The Coleopterists Bulletin, 34(2), 237-239. [ Links ]

Peters, R. H. (1983). The ecological implication of body size. Cambridge University Press. [ Links ]

Price, P. (1984). Insect ecology (2nd Ed.). Jonh Wiley & Sons. [ Links ]

R Development Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.orgLinks ]

Raphael, M. G., & Molina, R. (2007). Conservation of rare orlittle-known species. Island Press. [ Links ]

Ripley, B., Venables, B., Bates, D., Hornik, K., Gebhardt, A., & Firth, D. (2020). The MASS Package. Support Functions and Datasets for Venables and Ripley’s MASS. https://cran.r-project.org/web/packages/MASS/MASS.pdfLinks ]

Roskov, Y., Ower, G., Orrel, T., Nicolson, D., Bailly, N., Kirk, P. M., Bourgoin, T., de Walt, R. E., Decock, W., Nieukerken, E. van, Zarucchi, J., & Penev, L. (2019). Species 2000 & ITIS Catalogue of Life, 2019 Annual Checklist. http://www.catalogueoflife.org/annual-checklist/2019Links ]

Sabu, T. K., Shiju, R. T., Vinod, K. V., & Nithya, S. (2011). A comparison of the pitfall trap, Winkler extractor and Berlese funnel for sampling ground-dwelling arthropods in tropical montane cloud forests. Journal of Insect Science, 11(28), 1-19. [ Links ]

Stork, N. E., & Blackburn, T. (1993). Abundance, body size and biomass of arthropods in tropical forest. Oikos, 67(3), 483-489. [ Links ]

Tullgren, A. (1918). Ein sehr einfacher Ausleseapparat für terricole Tierfaunen. Zeitschrift für Angewandte Entomologie, 4, 149-150. [ Links ]

Received: August 08, 2021; Revised: November 18, 2021; Accepted: December 10, 2021

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