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Research Article

Diversity of functional edaphic macrofauna in Musa acuminata x Musa balbisiana (AAB) agroecosystems

[version 1; peer review: 1 approved, 1 approved with reservations]
PUBLISHED 14 Nov 2022
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This article is included in the Agriculture, Food and Nutrition gateway.

This article is included in the Ecology and Global Change gateway.

Abstract

Background: This study focused on evaluating the diversity and richness of the edaphic macrofauna in eight banana farms in the western zone of Nicaragua.
Methods: The sampling design was random and descriptive, it was divided into two phases, the first was the collection of the sample, and the second was the classification, coding, and storage of the extracted macrofauna populations. Subsequently, the indices of diversity and species richness, relative abundance, by functional groups were estimated.
Results: The results showed that the relative abundance of biodiversity was higher in the 0–20 cm soil depth stratum than in the branch and leaf biomass strata. The values ​​of the diversity indices of Dominion, Simpson, Shanon, Margalef, and Equity were in the normal range, with a tendency towards low diversity. Likewise, in the richness of species, the Dominant or most abundant genus were earthworms (Oligochaeta) and Hymenoptera (Solenopsis, Leptothorax, Camponotus, Pheidole), indicating the directly proportional relationship, that is to say, that the greater the number of earthworms the production increases and the greater the number of Hymenoptera it decreases, confirmed with the Pearson correlation coefficient with a reliability of 95%.
Conclusions: It was concluded that based on the estimates of the diversity indicators, two detritivore genus (earthworms and Hymenoptera) were the ones with the greatest presence, being important in the production of the banana agrosystem due to the decomposition of organic matter and its nutritional contribution to the plant. We observed a direct correlation with earthworms and an indirect relationship with Hymenoptera.

Keywords

Eco-Intensification, Eco-system, Plantain, Diversity, Microfauna

Introduction

Soil management in banana agroecosystems is essentially successful for resilient agro-ecological production, adapted to climate change, and biodiversity, fundamentally in Latin America. Berning et al. (2022), Gliessman (2013), Rousseau et al. (2012), McLaughlin et al. (1995), Challinor et al. (2009), Rousseau et al. (2013) and Delgado et al. (2010b) indicate that agro-ecological conditions of the soil represent one of the ways to adapt precisely to the development of production in the banana sector. The combination of Musa acuminata × Musa balbisiana (AAB) constitutes a food source in the Latin American diet (Belalcázar, 2003). For this reason, it is important to develop agricultural practices linked to the benefit of edaphic biodiversity and thus have productive and intensive agriculture characterized by various degrees of intensification of traditional, customary, transitional and organic agriculture (Delgado et al., 2010a). Improving ecosystems and taking advantage of the usefulness of biodiversity in this process requires understanding the structure and function of biological and physical-chemical combinations. They include stability of the edaphic structure, reuse, storage, and supply of organic matter (OM) and nutrients, available soil moisture, and management of damage to micro, and macrofauna.

Similarly, authors such as McKelvie-Sebileau et al. (2022), Samudio (2010), Shiyam et al. (2010), López (1995), MIFIC (2007) and Gizzi et al. (2009) suggest that in nutritional irrigation systems where crops such as corn, beans, pumpkin, papaya, pineapple, coffee, cocoa are included, they demand the conservation of fungi, bacteria, viruses, harmful insects, nematodes and weed organisms, to do more effective environmental perceptions and producer profitability.

Likewise, Gutiérrez-Luna et al. (2022), Rodríguez et al. (2013) and Brown et al. (2001) investigated that the impact of cultural practices or soil health should be evaluated through chains that maintain soil fertility. From this perspective, soil fertility studies of plantain should include previously unexplained constituents of the macrofauna as indicators of the richness in biodiversity, abundance, and degree of alteration of the ecological functions of the population.

On the other hand, invertebrate pests attract a lot of attention, and they cost farmers and producers millions of dollars (Tresson et al., 2022; Velásquez et al., 2012; Alcaraván, 2003; Decaëns et al., 2004; Cardona et al., 1998).

Brown et al. (2001) and Pocasangre, Brown and Quesada (2009) show that limited physical-chemical elements and fertility can lead to population decline. In the same way, they added that beneficial invertebrates for their basic and fundamental functions have received little attention. In general, Velasquez et al. (2007) shows that their behavior is taken for granted and the management of agroecosystems is rarely altered for their benefit. The importance of the invertebrate edaphic macrofauna is closely related to the quantitative and qualitative analysis of biomass period (MO) and generation of genetic biology components.

Medina et al. (2021), Djigal et al. (2012), Laossia et al. (2008) and Ruiz (2008) indicate that these organisms can experience a shortage of oxygen and light, fewer open spaces, poor availability and quality of food and a very strong variability of microclimates to be able to live in the soil, examples of these microorganisms are the centipedes, termites, earthworms, insects, mites, flying worms and butterflies (Medina et al., 2021). Populations of all megafaunas reach millions per hectare and their biomass varies in tons per hectare. Their diversity can exceed 1,000 species in complex ecosystems (such as tropical forests), but precise data on the specific diversity of tropical edaphic megafauna in specific ecosystems is still lacking (Anderson, 1993; Zerbino, 2010; Zerbino et al., 2008; Priego-Castillo et al., 2009; Wardle et al., 1995).

Finally, the work focused on evaluating the diversity and abundance of macrofauna in eight banana-producing farms in the North Pacific area of Nicaragua. The work was organized in an introductory section where the problem and the importance of this study are explained. In the Methods section, the procedure for the collection, classification, coding and storage of the species is presented. The Results and Discussion section presents the species found and their richness, abundance and diversity. Finally, the main conclusions based on the objective of the research are presented.

Methods

Table 1 shows the statistical description of the data used in this study. The full protocol can be found on protocols.io.

Table 1. Descriptive statistics.

FarmNMinimumMaximumMeanStd. DeviationVariance
Farm1300.00150.0017.333335.300031246.092
Farm2300.00325.0018.666761.991843842.989
Farm3300.0050.004.833312.14022147.385
Farm4300.0065.007.500017.75067315.086
Farm5300.00150.0012.666733.185301101.264
Farm6300.00225.0017.166752.500962756.351
Farm7300.00155.0011.833333.204781102.557
Farm8300.00125.0015.000034.566281194.828

Geographic location of the study

The study was carried out in eight banana farms in the city of León and Posoltega (Table 2). The climatic conditions in the León area are characterized by having a rainfall of 1,529.7 mm, an average temperature per year of 38°C, and an altitude of 60 meters. The Posoltega area is characterized by an average annual temperature of 39°C, 2,000 mm of rain and an altitude of 70.42 meters above sea level, both areas are located in the western region of Nicaragua, see Figure 1 (MIFIC, 2007).

Table 2. Location of banana farms in the study area.

ID farmerFarm nameAreaCommunityMunicipalityLatitudeLongitude
1Santa Isabel266Rio Grande N° 3León12,664,471-86,848,814
2Quinta Cony15.2San PedroLeón12,664,471-86,848,814
3San Martin72.2San PedroLeón12,664,471-86,848,814
4El Verdón7.6San PedroLeón12,664,471-86,848,814
5San Joaquín4.6El TrianonPosoltega12521742-86,994,189
6Montes Verdes2.3ChiquimulapaPosoltega12,535,643-86,981,141
7María de los Ángeles3.8El TrianonPosoltega12521742-86,994,189
8Los Ángeles5.3El TrianonPosoltega12,521,742-86,994,189
0d8afc36-6ce3-4cc4-b82d-6cea4ebe2465_figure1.gif

Figure 1. Study area.

Map data ©2022 Google.

Investigative process phase

Table 2 shows eight farms that describe the name, area, community and municipality. In these farms, the investigation begins with the field phase where 40 edaphic samples of 0–20 cm depth and 40 biomass samples (leaf litter) were collected on the surface. A total of 80 samples of macrofauna populations were identified, coded, stored in the second phase. The study area in each farm was 0.7 ha delimited 1 in 1,000 m2 (50 cm long × 20 cm wide), as described in Rousseau et al. (2012), Rousseau et al. (2013), Medina et al. (2021).

After selecting the sampling area, sampling points are placed to collect soil samples. A wooden box 20 cm wide by 20 cm long was used to mark the sampling points, and to remove approximately 1 kg of soil. Divided into two consecutive layers (fallen leaves, 0–20 cm), each of them is surrounded to prevent microorganisms from escaping from the bottom, after which the material is sieved and separated manually and the insects found are placed in an airtight plastic bottle. After measuring 500 cubic centimeters in volume, they are labeled and preserved in 70% alcohol.

Identification of macrofauna species

The collected individuals were analyzed by order, family and quantified and identified by sex, the microorganisms were placed in Petri dishes and then observed under a 4–400× stereo microscope, to detail the specific structures of each of the species. Large animals include all organisms greater than 4 mm in length.

Measured variables

The diversity and richness of species present in this study were analyzed using the indicators reported by the authors Zerbino (2010) and Rousseau et al. (2012, 2013). Richness (number of species): the number is the number of species for each farm, which was determined and totaled for each sampled system. The total number of individuals per species was counted and estimated.

Functional groups (various population densities 1 m2)

Population abundance and species richness were determined by three main functional groups: herbivores, detritivores, and predators. To estimate the density, PAST (RRID:SCR_019129) 4.03 software was used, the indices selected for the study were: Domain (D), Shannon-Wiener (H′), Margalef (Mg), Simpson (1-D), and Pielou (J′).

Domain Index (D): It is the relative importance of a species related to the degree of influence it has on the individuals of the plantain agrosystem. It is based on competition for resources, which is why the characterization of the collected sample is used and then organized by functional group. Its inverse is the Simpson index.

Shannon-Wiener Index (H′) (Equation 1): Considers the number of species found in the study area (species richness) and the relative frequency (abundance) of each of these species. It is used to determine the number of species and how those species are distributed. It is usually expressed as H′, expressed as a positive number that varies between 0.5 and 5. Values between 0.5–2 indicate a situation with low diversity, 2–3 is a normal situation, and 3–5 or more indicates a situation of high diversity.

(1)
H=piLnpi

S: Richness or number of species; pi: ratio of individuals of the species (i) with respect to the total number of individuals (that is, the relative abundance of the species i).

Margalef Diversity Index (DMg) (Equation 2): measures the specific richness of an area and the relationship between individuals and the total sample. The value 0 is when there is only one species in the sample (s=1, therefore s-1=0), values less than 2 are considered areas of low biodiversity and values greater than 5 are indicative of high biodiversity. Where:

(2)
Dmg=S1LnN

S = number of species; N = total number of individuals.

Simpson's Index (1-D) (Equation 3): this index is based on dominance. This is the inverse parameter of the concept of community unity or equality. Consider the representativeness of the most important species without evaluating the contribution of the remaining species. Values from 0 to 0.5 bring the value closer to a situation of high diversity, and values from 0.5 to 1 bring the value closer to low biodiversity.

Where:

(3)
λ=pi2

Pi = the number of individuals among the total species (i). Strongly influenced by the importance of the dominant species. Its value is the reciprocal of fairness, so the diversity is known as 1 – λ.

Pielou Index (J) (Equation 4): stock market index. It measures the relationship between the observed diversity and the maximum expected diversity. Its value is between 0 and 0.1, so 0.1 corresponds to situations in which all species occur equally.

Where:

(4)
J=HHmax

Data analysis

Using IBM SPSS Statistics (RRID:SCR_016479) v.22 program, the data of individuals collected and ordered by categories were processed. Tables were created showing the groups of species present in each farm studied. For the analysis of the diversity indices, the PAST (RRID:SCR_019129) 4.03 software was used. Finally, Pearson's correlation was applied to identify the most dominant and most common group useful to understand the dominant interrelationship and its productivity within the plantain agrosystem.

Results and Discussion

Relative and dominant abundance

Tables 1, 3 and 4, and Figure 2 (Zuniga-Gonzalez et al., 2022) show the general relative abundance of macrofauna found in the four banana plantations in the city of León between the litter layer and soil depths of 0–20 cm. The genera Geophilus and Leptothorax dominate with 70 individuals per square meter (ind × m2), Philoscia with 160 ind × m2 and Oxidus with 110 ind. m2 and Hypoponera are 165 ind × m2, and earthworms are 590 ind × m2. In the municipality of Posoltega, Pheidole sp. 280 ind × m2, Solenopsis sp. 290 ind × m2, Asiomorpha 170 ind × m2, earthworm 600 ind × m2 (Tables 5 and 6). The genus Pheidole sp., was found in the soil of a banana plantation in the city of León, and the genus Solenopsis. However, the frequencies of earthworm individuals are similar in both communities. Zerbino et al. (2008) in their study presented the two most abundant groups of the subclass Oligochaeta of the order Opisthopora and insects of the order Hymenoptera, representing 46 and 20% of the total number of individuals collected, respectively. This confirms our findings with earthworms (Opisthopora) and Hymenoptera (Pheidole and Solenopsis) accounting for 37.77 and 18.25%, respectively, of all individuals collected.

Table 3. Total relative abundance (pi) according to functional group by farms.

Species numberGenusLeon municipalityPosoltega municipalityTotal %
Farm 1piFarm 2piFarm 3piFarm 4piFarm 5piFarm 6piFarm 7piFarm 8piBiomasspi
HERBIVORES
1Diptera0.000.005.000.500.000.000.000.000.000.000.000.000.000.000.000.00
2Elateridae15.000.600.000.005.000.330.000.000.000.000.000.000.000.000.000.00
3Leptothorax10.000.405.000.5010.000.6745.001.0010.001.000.000.000.000.0010.001.00
Total25.001.0010.001.0015.001.0045.001.0010.001.000.000.000.000.0010.001.00115.000.04
pi0.050.020.100.200.030.000.000.02
DETRITIVORES
4Philoscia95.000.2620.000.0545.000.380.000.005.000.030.000.000.000.000.000.00
5Lathrobium35.000.100.000.000.000.000.000.000.000.0025.000.080.000.005.000.01
6Oxidus70.000.1940.000.100.000.000.000.005.000.0330.000.100.000.000.000.00
7Asiomorpha15.000.040.000.005.000.0410.000.070.000.005.000.0240.000.24125.000.35
8Lombrices150.000.41325.000.8150.000.4265.000.43150.000.88225.000.73100.000.61125.000.35
9Laboptera0.000.005.000.0115.000.130.000.000.000.000.000.000.000.000.000.00
10Lobopoda0.000.005.000.010.000.005.000.030.000.000.000.000.000.000.000.00
11Bolbelamus0.000.005.000.010.000.000.000.000.000.000.000.000.000.000.000.00
12Reticulitermes0.000.000.000.000.000.005.000.030.000.000.000.005.000.0385.000.24
13Scarabeidae0.000.000.000.000.000.0065.000.430.000.0020.000.060.000.0015.000.04
14Darkling beetle0.000.000.000.005.000.040.000.000.000.005.000.0210.000.060.000.00
15Cylindroiulus0.000.000.000.000.000.000.000.0010.000.060.000.005.000.030.000.00
16Coproporus0.000.000.000.000.000.000.000.000.000.000.000.005.000.030.000.00
Total365.001.00400.001.00120.001.00150.001.00170.001.00310.001.00165.001.00355.001.002035.000.65
pi0.700.710.830.670.450.600.460.79
PREDATORS
17Geophilus65.000.500.000.000.000.005.000.170.000.005.000.020.000.0020.000.24
18Pheidole0.000.000.000.000.000.005.000.1780.000.400.000.00155.000.8245.000.53
19Carabeidae15.000.120.000.000.000.005.000.1715.000.085.000.020.000.000.000.00
29Hypoponera (ponerini)50.000.38115.000.770.000.000.000.000.000.000.000.000.000.000.000.00
21Camponotus0.000.0030.000.200.000.000.000.000.000.000.000.000.000.000.000.00
22Euborellia0.000.005.000.030.000.005.000.170.000.000.000.000.000.0010.000.12
23Pangaeus0.000.000.000.005.000.500.000.000.000.000.000.000.000.000.000.00
24Hymenorus0.000.000.000.005.000.500.000.000.000.000.000.000.000.000.000.00
25Plexippus0.000.000.000.000.000.0010.000.335.000.030.000.0015.000.080.000.00
26Carpophilus0.000.000.000.000.000.000.000.005.000.030.000.000.000.000.000.00
27Curculinidae0.000.000.000.000.000.000.000.0010.000.050.000.000.000.005.000.06
28Solenopsis0.000.000.000.000.000.000.000.0085.000.43190.000.9310.000.055.000.06
29Hahnia0.000.000.000.000.000.000.000.000.000.005.000.025.000.030.000.00
30Phrurolithus0.000.000.000.000.000.000.000.000.000.000.000.005.000.030.000.00
Total130.001.00150.001.0010.001.0030.001.00200.001.00205.001.00190.001.0085.001.001000.000.32
pi0.250.270.070.130.530.400.540.19
Total S and pi520.003.00560.003.00145.003.00225.003.00380.003.00515.002.00355.002.00450.003.00
Grand total3150.1.00

Table 4. Total relative abundance according to functional group in the farms of the municipality of León.

Functional groupFarm 1Farm 2Farm 3Farm 4Farm 5Farm 6Farm 7Farm 8Total
Herbivores52102030024
Detritivores707183674460467964
Predators25277135340541932
0d8afc36-6ce3-4cc4-b82d-6cea4ebe2465_figure2.gif

Figure 2. Overall relative abundance of macrofauna found.

This heatmap was constructed using PAST software.

Table 5. Total population of species collected in litter strata and 0-20 cm2 soil depth.

Species numberSpeciesLeon municipalityPosoltega municipality
Farm 1Farm 2Farm 3Farm 4Total, LeonFarm 5Farm 6Farm 7Farm 8Total, Posoltega
1Geophilus65005700502025
2Philoscia952045016050005
3Lathrobium35000350250530
4Elateridae15050200
5Leptothorax10510457010001020
6Carabeidae15005201550020
7Oxidus7040001105300035
8Asiomorpha150510300540125170
9Hypoponera (ponerini)501150016500000
10Lombrices1503255065590150225100125600
11Laboptera051502000000
12Lobopoda05051000000
13Bolbelamus0500500000
14Camponotus030003000000
15Diptera0500500000
16Euborellia0505100001010
17Pangaeus0050500000
18Hymenorus0050500000
19Plexippus00010105015020
20Reticulitermes000550058590
21Scarabeidae000656502001535
22Pheidole0005580015545280
23Tenebrinidae005050510015
24Carpophilus0000050005
25Curculinidae000001000515
26Solenopsis0000085190105290
27Cylindroiulus000001005015
28Hahnia00000055010
29Phrurolithus0000000505
30Coproporus0000000505

Table 6. Taxonomic classification of the edaphic macrofauna in kingdom, phylum, subphylum, class, order, family and genus.

Species numberKingdomPhylumClassOrderFamilyGenusFunctional group
1AnimaliaArthopodaInsectaDipteraDiptera Linneaeus, 1758Herbivores
2AnimaliaArthopodaInsectaColopteraElateridaeElateridaeHerbivores
3AnimaliaArthopodaInsectaHemenopteraFormiciaeLeptothorax Mayr, 1855Herbivores
4AnimaliaArthopodaMalacostracaIsopodaPhilosciidaePhiloscia Latreille, 1804Detritivores
5AnimaliaArthopodaInsectaColopteraStaphylinidaeLathrobium Gravenhorst, 1802Detritivores
6AnimaliaArthopodaDiplopodaPolydesmidaParaxosomatidaeOxidus Cook, 1911Detritivores
7AnimaliaArthopodaDiplopodaPolydesmidaParaxosomatidaeAsiomorpha coarctata Verhoeff, 1939Detritivores
8AnimaliaAnnelidaClitellataOpisthoporaLumbricidaeLombricesDetritivores
9AnimaliaAnnelidaInsectaBlattoideaBlattidaeLaboptera spDetritivores
10AnimaliaAnnelidaInsectaColeopteraTenebrionidaeLobopoda Soller, 1835Detritivores
11AnimaliaArthopodaInsectaColeopteraBolboceratidaeBolbelamusDetritivores
12AnimaliaArthopodaInsectaIsoteraRhinotermitidaeReticulitermes Holmgren, 1913Detritivores
13AnimaliaArthopodaInsectaColeopteraScarabaeidaeScarabaeidae Latreille, 1802Detritivores
14AnimaliaAnnelidaInsectaColeopteraTenebrionidaeDarkling beetleDetritivores
15AnimaliaArthopodaDiplopodaJulidaCylindriuslus terutonicus Pocock, 1900Detritivores
16AnimaliaArthopodaInsectaColeopteraStaphylinidaeCoproporusDetritivores
17AnimaliaArthropodaChilopodaGeophilomorphaGeophillidaeGeophilus Leach, 1814Predators
18AnimaliaArthopodaInsectaHymenopteraFormocidaePheidole Westwood, 1839Predators
19AnimaliaArthopodaInsectaColopteraCarabidaeCarabeidaePredators
20AnimaliaArthopodaInsectaHymenopteraFormicidaeHypoponera Santschi, 1938Predators
21AnimaliaArthopodaInsectaHymenopteraFormicidaeCamponotus Mayr, 1861Predators
22AnimaliaArthopodaInsectaDermapteraAnisolabididaeEuborellia Burr, 1910Predators
23AnimaliaArthopodaInsectaHemipteraCydnidaePangaeusPredators
24AnimaliaArthopodaInsectaColeopteraAlleulidaeHymenorusPredators
25AnimaliaArthopodaArachnidaAraneaeSalticidaePlexippusPredators
26AnimaliaArthopodaInsectaColeopteraNitidulidaeCarpophilus Stephens,1830Predators
27AnimaliaArthopodaInsectaColeopteraCurculionoideaCurculinidaePredators
28AnimaliaArthopodaInsectaHymenopteraFormicidaeSolenopsis Westwood, 1840Predators
29AnimaliaArthopodaArachnidaAraneaeHahnidaeHahnia C. L. Koch, 1841Predators
30AnimaliaArthopodaArachnidaAraneaePhrurolithidaePhrourolithus C.l Koch, 1839Predators

In a study by Priego-Castillo et al. (2009) and Castillo and Vera (2000), it was reported that the Hymenoptera group was the most abundant, with 62.49% of the total individuals collected during the 2,000 agricultural cycle in organic and conventional banana plantations in Guacimo, Costa Rica. This means that the soil is moist throughout the year. However, the presence of earthworms (Opisthopora) was 11.92% and abundant in all stages.

In the municipality of Leon, Farm 1 shows that earthworms dominate at 150 ind × m2 and Oxidus dominate with 70 ind × m2. In farm 2, earthworms dominate at 325 ind × m2, and Hypoponera spp. with 115 ind × m2, likewise in farm 4 El Verdón, stand out, genus Leptoxthorax (Opisthopora) of 45 ind × m2, 65 ind × m2 of Scarabaeidae and 65 ind × m2 of earthworms, however, in farm 3, only the genus, Philoscia, in Farm 3, measures 45 ind × m2 and earthworms dominate at 50 ind × m2 (Table 5 and 6). The municipal of León has a greater wealth of sexes with 23 representative genus, but a lower overall dominance (ind × m2). In four farms (San Martín, Santa Isabel and El Verdon) earthworm frequencies were found to be similar, but less common genera such as Leptothorax and Asiomorpha were found.

These data on earthworm populations in litter and layers from 0 to 20 cm2 have been confirmed by Castillo and Vera (2000), Pashanasi (2001), Zerbino (2010), and these populations have a beneficial role in the soil. Training is very important and sensitive to management practices in the banana farms of León and Posoltega.

Table 4 shows the relative abundance by farm and by functional group, noting that the detritivores group is more abundant, followed by predators. These dominant groups exerted a beneficial function on the soil, allowing increased production yields because they are the responsible for breaking down OM and providing nutrition for plants.

For the municipality Posoltega, in farm 6, earthworms dominate with 225 ind × m2 and Solenopsis spp. with 190 ind × m2, farm 8 had Asiomorpha spp. with 125 ind × m2 (Table 5 and 6). Plantain plantations in Posoltega are repopulated with Solenopsis worms and ants. This is likely because they occupy the same ecological niches in which they coexist, interact with similar food sources, land, husbandry and management skills, and benefit from abundant and prosperous communities. These data are supported by Zayas et al. (2022), Quiroz-Medina et al. (2021), Castillo y Vera (2000), Pashanasi (2001), Zerbino (2010), Rousseau et al. (2012) and Rousseau et al. (2013).

Diversity indices

Table 7 shows the diversity indices per farm. In general, the farms studied present a taxonomic variety of biomass (3,150 individuals). In general, a low domain (less than 40%) is observed in each of the farms. The Shannon-Wiener index shows low diversity with values less than 2, except for farms 1, 4 and 8 with values close to 2, meaning normal diversity. The Shannon indexes are not superior to those of Melo (2010), who had a high diversity value of the Shannon index of H′ = 2.61, which indicates that the Kikuyu prairie has the highest richness in both families and organisms. Rousseau et al. (2012, 2013), present low-quality data on diversity, dominance, wealth, and stock market indices.

Table 7. Diversity index by farm.

IndexFarm 1Farm 2Farm 3Farm 4Farm 5Farm 6Farm 7Farm 8
Taxa_S101191111101111
Individuals520560145225380515355450
Dominance (D)0.1670.38870.23660.21380.25450.33470.2870.2044
Simpson (1-D)0.8330.61130.76340.78620.74550.66530.7130.7956
Shannon (H)1.9891.3581.731.8241.6731.3931.61.828
Margalef (Mg)1.4391.581.6071.8461.6831.4411.7031.637
Equitability (J)0.86370.56630.78730.76050.69750.60510.66710.7622

The Simpson index confirms this low diversity with values close to 1. The specific richness of the area and the relationship between individuals and the total sample reflected by the Margalet index (DMg) with values less than 2. This is considered as areas of low biodiversity. The Pielou evenness index indicates that not all farms presented situations where all species were equally abundant (Krebs, 1999).

Functional groups

Table 3 shows a summary of the relative abundance of biodiversity in the study area by functional group (Castañeda et al., 2022; Quiroz-Medina, 2021). As mentioned above, the species equity indices are not equal. The lowest percentage of taxonomic presence is in the functional group of herbivores. The biomass has a greater presence (above 50% in the group by function of detritivores and in the group of predators below 50%).

In studies reported by Zerbino et al. (2008) and Zerbino (2010), it is shown that the discrepancies in the constitution of the megafauna’s community and proportions of functional groups are aspects influenced by the species, the richness of plant species and management, and states that it affects living organisms. This is because they determine the available resources and influence the interactions between herbivores, their controllers, and the destroyers identified by Moore et al. (2004).

This supports the findings regarding the fact that monoculture influences the available resources and, therefore, is capable of affecting the interactions between functional groups × m2 in the city of Posoltega. The results indicated that the texture of the biocenosis is consistent with the edaphic properties and the quantity and quality of the residues (Almonte, 2022; Leyva, 2012; Curry, 1992). In zero tillage, management practices that promote the presence of residues with spatial and temporal diversification of plant species have richer, more diverse and equitable communities, with a predominance of deterioration functional groups (Priego et al., 2009; Zerbino, 2010; Zerbino et al., 2008). This is consistent with the findings in the present study.

The analysis confirmed that Posoltega had lower populations of herbivores per m2 and 460 carnivores per m2 (Table 3).

Table 8 shows the diversity indicators by functional groups. These are predominantly detritivores and predators of 400 × m2, in contrast to El Verdón on farm 4, which has a low population of herbivores of 400 × m2, detritivores 85 ind. × m2 due to the large population of predators found. Similarly, at Farm 8 Los Angeles there were no herbivores. This is due to the large population of 250 ind. × m2 predators (Tables 3-5 and 6).

Table 8. Diversity Indexes by functional group.

IndexesFarm 1Farm 2Farm 3Farm 4Farm 5Farm 6Farm 7Farm 8
Herbivores
Taxa_S22211001
Individuals25101545100010
Dominance (D)0.520.50.555611001
Index (1-D)0.480.50.444400000
Index (H)0.6730.69310.636500000
Index (Mg)0.31070.43430.369300000
Index (J)0.97110.918300000
Detritivores
Taxa_S56554665
Individuals365400120150170310165355
Dominance (D)0.28430.67310.33330.38220.78370.54730.43250.3073
Index (1-D)0.71570.32690.66670.61780.21630.45270.56750.6927
Index (H)1.3880.71311.2571.1320.48450.97161.1351.271
Index (Mg)0.6780.83450.83550.79830.58410.87160.97930.6812
Index (J)0.86270.3980.78120.70340.34950.54230.63330.7898
Predators
Taxa_S33256455
Individuals130150103020020519085
Dominance (D)0.41120.62890.50.22220.350.86080.67590.3564
Index (1-D)0.58880.37110.50.77780.650.13920.32410.6436
Index (H)0.96320.6390.69311.5611.2590.34220.7131.262
Index (Mg)0.41090.39920.43431.1760.94370.56360.76230.9004
Index (J)0.87680.581610.96970.70250.24680.4430.7843

The data collected in the León area show that the herbivorous functional group has a low proportion of Diversity by the values of the Shannon-Wiener index (H) with a value close to 1 denoting low diversity, this is considered within normality, Dominance Simpson (1-D) with a value close to 1 and Pielou Equity (J′) very close to 1 as in the case of farm 2, meaning equally abundant species. However, the Margalef Diversity Index (DMg) showed a value below 2 considering for areas of low diversity.

Three indicators dominate in the functional group of detritivorous organisms in the city of León. Margalef Diversity (DMg) with a value below 2 means that no farm with this group can be considered as having high diversity. For Simpson Dominance (1-D) it can be said that they are at a midpoint between 1 and 0 with a normal diversity and a Pielou Equity Index (J′) with a value close to 1 situation where all species are equally abundant, of the indices for the Predators group were dominated by three indices: DMg in farm 4, which almost reaches value 2, it can be said that they are within the normal range, and Shannon-Wiener Diversity (H) with values lower than 1 indicating low diversity. This contrasts with the Posoltega area, where Simpson (1-D) dominates with a value close to 0, which implies a high diversity.

Table 8 shows the estimates of the indices of population abundance and species richness, determined by functional groups. According to the DMg, the value found was less than 2 considered as a zone of low biodiversity, which assumes that the number of individuals is equal to the number of species. In the Simpson index, the probability that eight individuals taken at random are of the same species is 0.2 in the case of León and 0.19, this constitutes a low probability, since most of the farms are made up of the genus Lombrices, and that had a lot of abundance of the same species. The Pielou Equity Index (J) confirms these with values close to 1 where all species are equally abundant.

Diversity and productivity

Samples were taken for the comparative study between plantain production and the two most abundant genera, earthworms and Hymenoptera, both of which are beneficial in the decomposition of OM and the supply of nutrients to the plant. In the dominance of worms, the Quinta Cony (Farm 2) was found where 325 ind × m2 were collected, followed by the Montes Verde farm (Farm 6) with 225 ind × m2. Hymenoptera were dominant on the San Joaquín farm (Farm 5) with 175 ind × m2 and on farm 7 with 165 ind × m2 (Table 9 and Figure 3).

Table 9. Agricultural production (banana units per ha) and the abundance of earthworms and hymenopteran insects (ind × m2).

Farm IDCommunityReal production of number of fingers per haHymenoptera per square meterWorms per square meterEstimated overall earthworm productionEstimated production by zone of worms or Hymenoptera
1Santa Isabel256,0006015038183.933585.36
2Quinta Cony91,00015032596299.8288084.08
3San Martin7,50010504974.82206.36
4El Verdón1,30050659956.161524.32
5San Joaquín1,25017515038183.925825
6Montes Verdes80,00019022563090.7270250
7María de los Ángeles10,50016510021579.354125
8Los Ángeles85,0006012529881.6285000
0d8afc36-6ce3-4cc4-b82d-6cea4ebe2465_figure3.gif

Figure 3. Real production vs. Hymenoptera and worms.

To compare the psyllium production of each farm, the proportion of worms and insects of the two most abundant genera, the order Hymenoptera, was taken, indicating that a greater number of worms indicates a greater production. It was observed that for Hymenoptera, the production is lower. The farms with the highest production in the León area were Quinta Cony with 91,000 × ha and Santa Isabel with 25,600 × ha. The farm of 80,000 y × ha in farm 8 and farm 6 with 85,000 × ha in Montes Verdes for the Posoltega area (Figures 3 and 4).

0d8afc36-6ce3-4cc4-b82d-6cea4ebe2465_figure4.gif

Figure 4. Relationship between diversity indices and productivity in plantain agroecosystems, Nicaragua.

Pearson's correlation analysis commonly correlates agricultural production (plantain units per ha) and the abundance of earthworms and hymenopteran insects, projecting a correlation close to 1 with 95% confidence. The relationship between plantain production per ha and the abundance of earthworms of ind. × m2 establishes a direct relationship, with a Pearson correlation coefficient of 0.743, close to 1, and a perfect or strong relationship in the Pearson correlation analysis (Table 10). That is, by increasing the number of earthworms in the soil, the production of plantain per ha increases in the farms studied in both regions (León and Posoltega). On the other hand, a Pearson correlation coefficient of 0.261 (Table 9) was obtained, which indicated that the relationship between production and abundance of Hymenoptera is very close to 0, thus showing a weak correlation between production and abundance of Hymenoptera insects.

Table 10. Pearson correlation coefficients of the production of Cuerno Dwarf plantain units (AAB) with the density per square meter of earthworms and Hymenoptera insects.

Study zoneProductionLombricesHymenopteras
Both areas
Production0.743*0.261*
Lombrices0.743*0.608*
Hymenopteras0.261*0.608*
León
Production0.988*0.942*
Lombrices0.988*0.968*
Hymenopteras0.942*0.968*
Posoltega
Production0.465*-0.484*
Lombrices0.465*0.469*
Hymenopteras-0.484*0.469*

* Significance p < 0.05.

The city of León has three strong ties. The first relationship (Pearson correlation coefficient 0.988) between productivity (psyllium units per ha on the farm) and earthworm abundance (Table 10) shows a strong correlation. The second relationship between productivity and abundance of Hymenoptera insects has a Pearson correlation coefficient of 0.942 (Table 10), indicating a strong correlation. A third relationship between the abundances of earthworms and hymenopteran insects is a Pearson correlation coefficient of 0.968 (Table 10), which is very strong because the coefficient is close to 1, indicating that the number of earthworms becomes a direct relationship as it increases. In the municipality of Posoltega, the relationship between earthworm production and abundance is weak, with a Pearson correlation coefficient of 0.465. A Pearson correlation coefficient of -0.484 (Table 10) indicates a negative relationship, with a decrease in the second abundance ratio of earthworms and hymenopterans. However, the abundance of hymenopteran insects is preserved. The increase in the number of worms increased the production and abundance of Hymenoptera, with a Pearson correlation coefficient of 0.469, favoring a direct relationship. On the other hand, the relationship between the number of hymenopteran insects and production is inversely correlated, with a Pearson correlation coefficient of -0.484 (Table 10). That is, as the number of Hymenoptera decreases, production decreases (Table 10). Table 11 shows the Pearson correlation coefficients by farm.

Table 11. Pearson correlation by farm.

Farm1Farm2Farm3Farm4Farm5Farm6Farm7Farm8
1.781**.765**.377*.502**.526**.278.407*
.781**1.667**.539**.704**.686**.433*.520**
.765**.667**1.426*.513**.477**.302.394*
.377*.539**.426*1.461*.450*.303.462*
.502**.704**.513**.461*1.863**.747**.518**
.526**.686**.477**.450*.863**1.368*.428*
.278.433*.302.303.747**.368*1.590**
.407*.520**.394*.462*.518**.428*.590**1

Conclusions

The diversity and richness of the edaphic macrofauna was evaluated in eight farms in the western area. A total of 78.72% of the individuals were identified in the soil from 0–20 cm2, while the remaining 21.26% in the foliage. In the first four farms in the León area, 23 genera were found, and in the Posoltega farms, 21 genera. The relative abundance of León was 1,450 individuals per m2, while in the Posoltega area it was 1,700 individuals per m2.

The Shannon-Wiener (H′) Diversity values were in the range of 1.6–1.9, which indicates a situation of low diversity, Margalef Diversity (D) obtained values between 1.4–1.8, lower than 2, considered as areas of low biodiversity, the Simpson's dominance (1-D) presented values between 1.4–1.8, considering that the closer it is to 1, a situation of low diversity is considered, and that of equality of Pielou (J′) presents 5-.8, so that the values close to 1 correspond to situations where all species are equally abundant. These results were due to the relative abundance of two detritivore genera (earthworms and Hymenoptera), which are organisms that decompose OM and provide nutrients to the plant.

Finally, it is concluded that these two genera are important in the production of the plantain agrosystem due to the decomposition of OM and its nutritional contribution to the plant, observing a direct correlation with earthworms and an indirect one with Hymenoptera.

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Zúniga-Gonzalez CA and Caballero-Hernández AJ. Diversity of functional edaphic macrofauna in Musa acuminata x Musa balbisiana (AAB) agroecosystems [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:1300 (https://doi.org/10.12688/f1000research.127300.1)
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Reviewer Report 19 Jul 2023
Jérôme Mathieu, Sorbonne Universite, Paris, Île-de-France, France 
Approved with Reservations
VIEWS 23
Main comments
  • Please improve the English language and grammar.
     
  • Please give more information about the differences between the plots and use them to explain the differences in soil macrofauna communities.
... Continue reading
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Mathieu J. Reviewer Report For: Diversity of functional edaphic macrofauna in Musa acuminata x Musa balbisiana (AAB) agroecosystems [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:1300 (https://doi.org/10.5256/f1000research.139795.r177964)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 20 Sep 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    20 Sep 2023
    Author Response
    Main comments
    [1] Please improve the English language and grammar.
    Response: Dear reviewer we appreciate your valuable observation, we are proceeding with the total revision of the article.

    [2] ... Continue reading
  • Author Response 16 Jan 2024
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    16 Jan 2024
    Author Response
    Dear Reviewer 2, the data availability, has been duly addressed:
    1. Data Compilation: The data from both sites has been consolidated into a singular file as requested.
    2. Template
    ... Continue reading
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  • Author Response 20 Sep 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    20 Sep 2023
    Author Response
    Main comments
    [1] Please improve the English language and grammar.
    Response: Dear reviewer we appreciate your valuable observation, we are proceeding with the total revision of the article.

    [2] ... Continue reading
  • Author Response 16 Jan 2024
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    16 Jan 2024
    Author Response
    Dear Reviewer 2, the data availability, has been duly addressed:
    1. Data Compilation: The data from both sites has been consolidated into a singular file as requested.
    2. Template
    ... Continue reading
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Reviewer Report 07 Mar 2023
Angel Sol, Campus Tabasco, Colegio de Postgraduados, Texcoco, State of Mexico, Mexico 
Approved
VIEWS 25
The article is interesting and important in the banana production activity.
  1. "The first was.." - must say 'the first one'.
     
  2. In the results, the correct way is 'ind/m2'. Example: 160 ind/m2.
... Continue reading
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Sol A. Reviewer Report For: Diversity of functional edaphic macrofauna in Musa acuminata x Musa balbisiana (AAB) agroecosystems [version 1; peer review: 1 approved, 1 approved with reservations]. F1000Research 2022, 11:1300 (https://doi.org/10.5256/f1000research.139795.r155921)
NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article.
  • Author Response 08 Mar 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    08 Mar 2023
    Author Response
    I appreciate the comments of the reviewer1 and I confirm and accept the improvements to be incorporated.
    Competing Interests: I have no competing interests. The reviewer's observations are valid and pertinent to improve the article's contribution.
  • Author Response 20 Sep 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    20 Sep 2023
    Author Response
    The article is interesting and important in banana production activity.

    Dear Reviewer, thanks for this.  
    1. "The first was.." - must say 'the first one'. 

      Response:
    ... Continue reading
COMMENTS ON THIS REPORT
  • Author Response 08 Mar 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    08 Mar 2023
    Author Response
    I appreciate the comments of the reviewer1 and I confirm and accept the improvements to be incorporated.
    Competing Interests: I have no competing interests. The reviewer's observations are valid and pertinent to improve the article's contribution.
  • Author Response 20 Sep 2023
    C. A. Zuniga-Gonzalez, Department of Agroecology, Faculty of Agrarian and Veterinary Sciences, Bioeconomy and Climate Change Research Center, National Autonomous University of Nicaragua, Leon, 21000, Nicaragua
    20 Sep 2023
    Author Response
    The article is interesting and important in banana production activity.

    Dear Reviewer, thanks for this.  
    1. "The first was.." - must say 'the first one'. 

      Response:
    ... Continue reading

Comments on this article Comments (0)

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VERSION 4 PUBLISHED 14 Nov 2022
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Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit.
Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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