Research Article | | Peer-Reviewed

Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania

Received: 20 May 2025     Accepted: 3 June 2025     Published: 18 October 2025
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Abstract

Butterflies are widely recognized as biological indicators of habitat quality due to sensitivity to environmental changes and habitat disturbances. This study aimed to assess butterflies’ species diversity in Magombera Nature Forest Reserve (MNFR), Tanzania as indication of forest recovery from the previous disturbances. Specifically, the study aimed to assess i) current status of butterfly species richness and diversity in MNFR, and (ii) butterfly species abundance, dominance and distribution in MNFR. Data collected through line transects using sweep nets and visual observations across the forest area of 2,623 ha. Species richness computed as a total number of species in a given area, species diversity computed using Shannon-Weiner Diversity Index (H') and abundance computed as a total count of all individuals. The results indicated that a total of 155 butterfly species belonging to six families and 64 genera recorded in MNFR. Closed forest had high species richness (105) and diversity values (H' = 4.06) and Grassland has least species (46) and diversity values (H' = 3.27). Variation in vegetation composition in MNFR influence higher butterfly species richness, diversity and abundance in closed forest and open woodland than in grassland and riparian vegetation indicating the improvement of forest recovery from prior disturbances after being upgraded to nature reserve in 2018. Therefore, intensive management approaches that currently implemented by the Tanzania Forest Services Agency (TFS) at MNFR should be maintained to overcome other ecological changes. This will assure proper ecological flow within the forest and between Udzungwa Mountain National Park and Selous Game Reserve.

Published in Agriculture, Forestry and Fisheries (Volume 14, Issue 5)
DOI 10.11648/j.aff.20251405.15
Page(s) 215-225
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Species Richness, Species Diversity, Vegetation Types, Habitat Quality, Forest Recovery

1. Introduction
Tropical forests are among the most biodiverse ecosystems on Earth, providing essential ecological services such as carbon sequestration, climate regulation, and habitat for numerous species. However, these forests are increasingly threatened by anthropogenic disturbances, including deforestation, habitat fragmentation, and agricultural expansion . The ability of a forest to recover from past disturbances is critical in determining its ecological integrity and long-term sustainability. One of the most effective ways to assess forest recovery is through biodiversity monitoring, particularly by using bioindicators such as butterflies .
Butterflies (Lepidoptera) are widely recognized as sensitive indicators of environmental change, responding rapidly to alterations in vegetation structure, microclimate, and resource availability . Their diversity and abundance can therefore provide insights into the health and quality of recovering forests. In tropical ecosystems, different butterfly species exhibit varying degrees of habitat specialization, with some thriving in closed-canopy forests while others are more common in open or degraded areas . Factors like abundance of host plant species and vegetation diversity influence directly the diversity and butterfly communities’ structure . The diversity of butterfly in a particular habitat can be supported by presence and abundance of vegetation that exist in different landscapes. Changes in habitat quality in a given ecosystem are the main factors that cause the reduction of butterfly species abundances . Assessing butterfly diversity across different vegetation types can help evaluate the extent to which a forest has recovered from past disturbances and the effectiveness of conservation measures in place .
Magombera Nature Forest Reserve (MNFR), located in Kilombero District, Tanzania, has undergone significant ecological changes due to historical logging, shifting cultivation, and firewood collection . Recognizing its ecological importance, like a catchment area, wildlife corridor and existence of endangered and endemic species including Udzungwa red colobus monkey (Procolobus gordonorum) and an undescribed species of chameleon (Kinyongia sp. nov.), the forest was officially upgraded to a nature reserve in 2019, granting it greater legal protection and promoting its recovery . Since its designation as a protected area, natural regeneration processes have been expected to improve forest structure, enhance biodiversity, and restore habitat integrity. Different conservation initiatives and interventions were taken including creation of conservation awareness to the communities, beekeeping projects and restoration by planting native tree species in degraded areas of MNFR . However, the extent of this recovery remains largely unquantified. It has been hypothesized that the current status of habitat quality of MNFR has improved more than it was in 2018 before being upgraded to the status of Nature Forest Reserve in 2019. Previous research has shown that undisturbed or recovered forests tend to harbor higher butterfly diversity due to their structural complexity and stable microclimatic conditions .
In contrast, degraded or open habitats often have lower species richness but may still support certain generalist species . By comparing butterfly diversity across different habitat types in MNFR, this study provides a critical assessment of the forest’s ecological recovery since its protection status was upgraded. Whereas, the findings will contribute to conservation planning by informing management strategies that promote biodiversity conservation.
Therefore, the objective of this study was to assess forest recovery in MNFR using butterfly diversity as an indicator of habitat quality across four vegetation types namely closed forests, open woodland, grassland, and riparian vegetation. Specifically, the study aimed to determine: (i) butterfly species richness and diversity in four vegetation types in MNFR, ii) butterfly species abundance, dominance and distribution in four vegetation types in MNFR to understand its habitat quality in relation to the extent of forest recovery.
2. Materials and Methods
2.1. Description of Study Area
Figure 1. Map of study location and layout of observation plot in the MNFR.
Magombera Nature Forest Reserve (MNFR) is a lowland tropical forest located in Kilombero District, Morogoro Region, Tanzania, at latitude 07°46’40” – 07°52’0” S and longitude 36°57’30” – 37°01’30” E (Figure 1). It is positioned between Udzungwa Mountain National Park to the west and Selous Game Reserve to the east, lying approximately 270 meters above sea level. The forest is about 6 km from Udzungwa Mountain National Park and is bordered by Selous Game Reserve to the east . The landscape is predominantly flat, with a humid climate, receiving an average annual rainfall of 1,500 mm and an average temperature of 32°C. The region experiences a bimodal rainfall pattern, with short rains occurring between October and December, followed by long rains from February to early May.
MNFR features diverse vegetation types, including closed forest, woodland, grassland, and riparian vegetation . The soil composition is a mix of Karoo sandstone from the Msolwa floodplain and alluvial deposits from the Udzungwa Mountains . The forest is surrounded by four villages, with agriculture being a primary activity in the area and the key crops cultivated near the reserve include sugarcane, rice (paddy), cassava, and maize .
2.2. Sampling Design and Data Collection
2.2.1. Sampling Design
Systematic sampling design was adopted for even distribution of sampling effort across the forest to reduce bias and improve representativeness . A transect method employed to detect and record butterfly species along 3 transects linearly with 5m x 5m sided visual area started from forest edge of MNFR . The distance of 700m in length between transects and 350m in width between plots established, following the standard butterfly survey protocol .
2.2.2. Data Collection
Data collection was conducted between 08:00 hrs and 10:30 hrs, the period when butterfly activity is highest due to optimal temperatures and sunlight availability . Three complementary methods were employed to maximize species detection. These methods were; Line Transect Walks, field team walked along each transect at a slow and consistent pace and recorded all butterflies observed within 2.5 meters on either side . Each butterfly seen was either identified in situ using field guides or captured for closer inspection using sweep nets; Sweep Net Sampling, this was conducted alongside transect walks to capture fast-moving or cryptic species not easily detected visually . Net-captured individuals were identified immediately and released back into their habitat; and Visual Observations and Photography . Butterflies were categorized into morphospecies when immediate identification was not possible.
However, all observed and captured butterflies were identified to the lowest possible taxonomic level using standard field guides with expert verification from Sokoine University of Agriculture (SUA). For individuals which were not identified kept in special envelope and identified later to species level by the aid of field guide book . Data recorded on standardized data sheet included Species name, Abundance per species and Vegetation type.
2.3. Data Analysis
The data collected from field were analyzed to determine the biodiversity value in terms of species richness, abundance, diversity and distribution pattern across vegetation types. Species richness was determined by taking a total number of species in a given area. Species diversity across vegetation type was determined using Shannon – Wiener Diversity Index (H’) with a formula: H'=i=1sPi*In Pi whereas; s = the number of species, Pi = the importance value of a species as a proportion of all species, In = the natural logarithm . Species abundance computed by taking total count of individuals, dominance using Important Value Index (IVI) was computed as the sum of relative frequency, relative abundance of butterfly species and species distribution was analyzed by taking number of shared unique species across vegetation types distributed .
3. Results
3.1. Species Richness, Diversity and Dominance
The study reveals a total of 155 species belonging to 64 genera with six butterfly families in MNFR. Out of six families, Nymphalidae observed to be dominant with 50% (n=77) number of species, followed by Pieridae 20.6% (n=32), Lycaenidae 25 16% (n=25), Hesperiidae 17% (n=11), Papilionidae 5.8% (n=9), and least Libytheinae 0.6% (n=1). However, the closed forest was leading for having more species and the riparian vegetation was the least (Table 1). In general, many species observed were from the family Nymphalidae (527 individuals), followed by family Pieridae (258), family Lycaenidae (189 individuals), family Papilionidae (80 individuals), family Hesperiidae (15 individuals) and family Libytheinae (4 individuals) (Figure 2). Based on vegetation types, the closed forest dominated by Nymphalidae with 211, grassland by Pieridae with 56, open woodland by Nymphalidae with 234 and riparian vegetation by Nymphalidae with 34 (Figure 3).
Table 1. A summary of butterfly species richness, abundance, and diversity identified in each vegetation type found in Magombera Nature Forest Reserve, Tanzania.

Vegetation Type

Families

Species richness

Abundance (counts / individuals)

Relative abundance (%)

Shannon-Wiener Diversity Index (H')

Closed forest

Nymphalidae, Pieridae, Lycaenidae, Papilionidae, Hesperiidae and Libytheinae

105

393

37

4.06

Grassland

Nymphalidae, Pieridae, Lycaenidae and Papilionidae

46

132

12

3.27

Open woodland

Nymphalidae, Pieridae, Lycaenidae, Papilionidae and Hesperiidae

91

484

45

3.96

Riparian vegetation

Nymphalidae, Pieridae, Lycaenidae, Papilionidae and Hesperiidae

38

64

6

3.47

Grand total

155

1073

100

4.26

Figure 2. Species abundance across each butterfly family in MNFR, Tanzania.
Figure 3. Species abundance in top 5 family per vegetation types in MNFR, Tanzania.
The overall Shannon Weiner diversity index (H’) for butterfly species in MNFR was 4.26 and varied across each vegetation types (Table 1). The closed forest observed to have higher H values (H’=4.06) with 105 species and the grassland areas had the least diversity value (H’=3.27) with 46 species (Table 1). According to Importance Value Index (IVI), Catopsilia florella (22.1) and Azanus jesous (15.9) were the most dominant species across all vegetation types (Table A1).
3.2. Species Abundance and Distribution
During this study, a total of 1073 individuals of butterfly species were recorded in MNFR. Open woodland was leading for having more butterfly individuals 484 (45%) and riparian vegetation 64 (6%) was the least (Table 1). Out of six families, Nymphalidae observed to have the highest abundant butterfly individuals 527 (49.11%) and Libytheinae had the least abundant 4 (0.37%) (Figure 2). From 155 species, only 13 species appeared in each vegetation type (Figure 4). However, Colotis evenina founded only in grassland and riparian vegetation and, Eurema desjardinsii founded only in closed forest, grassland and riparian vegetation.
Figure 4. Distribution of butterfly species across vegetation types in MNFR, Tanzania.
4. Discussion
4.1. Species Richness, Diversity and Dominance
This is the first study to document butterfly species richness in MNFR. Species richness of 155 reported in this study is lower than other findings reported from tropical forests. For instance, from a tropical forest of Kihansi gorge forest in Tanzania found a total of 213 butterfly species. However, from a tropical forest of Northern Coast of East Java, Indonesia reported a total of 126 species which is lower than that founded in MNFR during this study. Species richness in MNFR indicates the forest is healthier and more resilient . Species richness in family Nymphalidae from MNFR is lower than other findings reported from tropical forests. For instance, from a tropical forest of Kihansi gorge Forest in Tanzania reported 107 out of 213 species from family Nymphalidae. Though, from a tropical forest of Rupa Wetland in Nepal reported 62 out of 138 species dominated by family Nymphalidae which is lower than 77 out of 155 from family Nymphalidae founded in MNFR. The dominance of Nymphalidae in study area suggests the forest has minimal habitat disturbances and good habitat quality favoring the survival of various species . Higher species richness reported in closed forest and least in riparian vegetation in MNFR correspond with other findings from tropical forests based on their vegetation types. For instance, from a tropical forest of West Bengal, India reported that the dense forest had higher species richness than the lower density vegetation. Existence of higher butterfly species in closed forest seemed to be supported by the availability of food resources (nectar) and light for their life cycle . Generally, the canopy cover and vegetation composition in MNFR strongly influence the richness of butterflies .
The H’ value of 4.26 for butterfly species reported in this study is higher than other findings reported from tropical lowland forests. For instance, the H’ value reported by from a tropical lowland forest of Soraipung range of Dehing Patkai National Park, Assam, India (H’=3.6), from a tropical forest of Cirahab Sumber area Curuggoong Village Padarincang District, Serang Regency (H’=2.94) and from a tropical lowland rain forest of Bukit Reban Kambing, Bukit Belading and Bukit Takau, Johor, Malaysia (H’=2.272). It has been reported that, the higher the value (H' ≥ 3.00) the higher species diversity . The higher diversity indices in MNFR reflects stable ecosystem from prior disturbances with a good habitat quality . However, species diversity varied from one vegetation type to another in the study area as reported by in a tropical forest of Kedung Klurak Tourism Area, East Java, Indonesia. For instance, the closed forest and open woodland founded to have higher species diversity while the riparian vegetation and grassland area founded to have moderate species diversity. Probably this is due to factors like plant diversification for food resources (nectar), light availability, and other microclimatic factors leading to existence of generalist and/or specialist species. The dominance of specific species in closed forest, grassland, open woodland and the riparian vegetation reflect existence of specialist species in MNFR.
4.2. Species Abundance and Distribution
The abundance of 1073 individuals of butterfly species reported in MNFR is lower compared to other findings reported from tropical forests. For instance, from a tropical montane forest of Kihansi gorge forest, Tanzania reported a total abundance of 1271 individuals of butterfly whereas in a tropical forest of Kedung Klurak Tourism Area, Indonesia reported 593 individuals of butterfly. The species abundance in MNFR still suggests the ecosystem is healthier and more diverse . However, open woodland was leading for having more butterfly individuals and riparian vegetation was the least due to variability of microclimatic conditions . The high abundant of Nymphalidae in MNFR suggest a healthy ecosystem with diverse habitats while Libytheinae had the least abundant . Distribution of 13 species across all vegetation types suggest the forest shares crucial resources with similar environmental condition necessary for butterfly survival. Though, existence of Colotis evenina as signal changes in grassland and riparian vegetation suggest MNFR has good habitat quality while Eurema desjardinsii in closed forest, grassland and riparian vegetation influence the stability of ecosystem structure and habitat dynamics .
5. Conclusions and Recommendation
5.1. Conclusions
In this study, it was confirmed that butterfly species diversity and abundance varied with the state of habitat quality. Among other factors, vegetation composition influences higher butterfly species abundance, richness and diversity in closed forest and open woodland than in grassland and riparian vegetation. Vegetation composition impacted through forest recovery from prior disturbances in MNFR after being upgraded. Therefore, the study highlights that there is improvement of forest recovery in MNFR after being upgraded to Nature Reserve in 2018.
5.2. Recommendation
Thorough management approaches which are currently being implemented by the Tanzania Forest Services Agency (TFS) at MNFR should be maintained since it has proven to overcome the ecological changes that support the fast forest recovery from previous disturbances. These management approaches will assure the life and movement of wildlife within the forest and between the two adjacent protected areas (Udzungwa Mountain National Park and Selous Game Reserve).
Abbreviations

MNFR

Magombera Nature Forest Reserve

TFS

Tanzania Forest Services Agency

SUA

Sokoine University of Agriculture

IVI

Importance Value Index

Acknowledgments
The authors would like to thank Mr. John Shisheghe, Mr. Adili Nyanganoye and Fredy Lyimo for their crucial assistance during data collection. Tanzania Forest Services Agency (TFS) is acknowledged for the financial support.
Conflicts of Interest
Authors declares no conflicts of interest.
Appendix
Table A1. Checklist of butterfly species sorted by vegetation types identified in the Magombera Nature Forest Reserve, Tanzania. Note: H’= Shannon Wiener Diversity Index, IVI=Importance Value Index.

Vegetation Types

Scientific Name

Family

Frequency (%)

H'

IVI

Closed forest, Grassland, Open woodland & Riparian Vegetation

Catopsilia florella

Pieridae

4.71

0.19

22.1

Closed forest, Grassland, Open woodland & Riparian Vegetation

Azanus jesous

Lycaenidae

1.29

0.15

15.9

Closed forest, Open woodland & Riparian vegetation

Euphaedra neophron

Nymphalidae

3.29

0.15

15.3

Closed forest, Grassland & Open woodland

Leptotes pirithous

Lycaenidae

2.43

0.14

13.3

Closed forest, Grassland, Open woodland & Riparian Vegetation

Neptis serena

Nymphalidae

3.14

0.13

11.9

Closed forest, Grassland, Open woodland & Riparian Vegetation

Terias brigitta

Pieridae

2.71

0.12

10.8

Closed forest, Open woodland & Riparian vegetation

Eurytela dryope

Nymphalidae

2.71

0.11

9.9

Closed forest, Grassland, Open woodland & Riparian Vegetation

Byblia anvatara

Nymphalidae

3.14

0.10

8.8

Closed forest, Grassland, Open woodland & Riparian Vegetation

Pentila tropicalis

Lycaenidae

2.86

0.10

8.8

Closed forest, Grassland, Open woodland & Riparian Vegetation

Hamanumida daedalus

Nymphalidae

2.14

0.10

8.5

Closed forest, Grassland & Open woodland

Papilio dardanus

Papilionidae

2.43

0.10

7.9

Closed forest, Grassland & Open woodland

Bicyclus safitza

Nymphalidae

2.57

0.09

7.4

Closed forest, Grassland & Open woodland

Junonia terea

Nymphalidae

2.43

0.08

6.0

Closed forest, Grassland, Open woodland & Riparian Vegetation

Graphium angolanus

Papilionidae

2.14

0.07

5.4

Closed forest, Grassland, Open woodland & Riparian Vegetation

Mylothris agathina

Pieridae

1.86

0.07

4.8

Grassland, Open woodland & Riparian vegetation

Junonia natalica

Nymphalidae

1.71

0.06

4.3

Open woodland

Sallya amulia rosa

Nymphalidae

0.57

0.06

4.0

Closed forest, Grassland, Open woodland & Riparian Vegetation

Tirumala petiverana

Nymphalidae

1.57

0.06

4.0

Closed forest, Grassland & Open woodland

Terias desjardinsi

Pieridae

1.29

0.05

3.7

Closed forest, Grassland & Open woodland

Terias hecabe

Pieridae

1.00

0.05

3.7

Closed forest & Open woodland

Azanus mirza

Lycaenidae

0.57

0.05

3.4

Closed forest, Grassland, Open woodland & Riparian Vegetation

Bicyclus ena

Nymphalidae

1.71

0.05

3.4

Closed forest, Open woodland & Riparian vegetation

Catacroptera cloanthe

Nymphalinae

1.57

0.05

3.4

Closed forest & Open woodland

Hypolimnas anthedon

Nymphalidae

1.14

0.05

3.1

Closed forest, Open woodland & Riparian vegetation

Melanitis leda

Nymphalidae

1.43

0.05

3.1

Closed forest & Open woodland

Bicyclus campinus

Nymphalidae

1.14

0.04

2.8

Closed forest, Open woodland & Riparian vegetation

Colotis regina

Pieridae

1.14

0.04

2.8

Closed forest, Grassland, Open woodland & Riparian Vegetation

Amauris niavius

Nymphalidae

1.14

0.04

2.6

Closed forest & Open woodland

Appias epaphia

Pieridae

1.00

0.04

2.6

Closed forest, Grassland & Open woodland

Baliochila hildegarda

Lycaenidae

1.00

0.04

2.6

Closed forest, Grassland & Open woodland

Belenois aurota

Pieridae

1.00

0.04

2.6

Closed forest, Open woodland & Riparian vegetation

Belenois thysa

Pieridae

1.14

0.04

2.6

Closed forest, Grassland, Open woodland & Riparian Vegetation

Danaus chrysippus

Nymphalidae

0.86

0.04

2.6

Closed forest, Grassland & Open woodland

Papilio demodocus

Papilionidae

1.14

0.04

2.6

Closed forest & Open woodland

Acraea natalica

Nymphalidae

0.86

0.04

2.3

Closed forest, Grassland & Open woodland

Colotis ione

Pieridae

1.00

0.04

2.3

Closed forest, Open woodland & Riparian vegetation

Graphium policenes

Papilionidae

0.71

0.04

2.3

Closed forest, Open woodland & Riparian vegetation

Phalanta phalantha

Nymphalidae

1.00

0.04

2.3

Closed forest, Grassland & Open woodland

Gnophodes betsimena

Nymphalidae

1.00

0.03

2.0

Grassland & Open woodland

Acraea anemosa

Nymphalidae

0.71

0.03

1.7

Closed forest

Bebearia orientis

Nymphalidae

0.71

0.03

1.7

Open woodland

Eurema regularis

Pieridae

0.57

0.03

1.7

Closed forest, Grassland & Open woodland

Graphium antheus

Papilionidae

0.86

0.03

1.7

Open woodland

Hypolimnas misippus

Nymphalidae

0.43

0.03

1.7

Closed forest & Grassland

Neptis goochi

Nymphalidae

0.71

0.03

1.7

Grassland & Open woodland

Pardopsis punctatissima

Nymphalidae

0.86

0.03

1.7

Closed forest & Open woodland

Pseudacraea dolomena

Nymphalidae

0.71

0.03

1.7

Closed forest & Open woodland

Belenois creona

Pieridae

0.43

0.03

1.4

Grassland & Riparian vegetation

Colotis evenina

Pieridae

0.57

0.03

1.4

Grassland, Opn woodland & Riparian vegetation

Colotis evippe

Pieridae

0.14

0.03

1.4

Closed forest & Open woodland

Euphaedra orientalis

Nymphalidae

0.57

0.03

1.4

Closed forest, Grassland & Riparian vegetation

Eurema desjardinsii

Pieridae

0.57

0.03

1.4

Closed forest & Open woodland

Protogoniomorpha parhassus

Nymphalidae

0.57

0.03

1.4

Closed forest & Grassland

Acraea acara

Nymphalidae

0.43

0.02

1.1

Closed forest

Amauris echeria

Nymphalidae

0.57

0.02

1.1

Closed forest & Open woodland

Bicyclus anynana

Nymphalidae

0.29

0.02

1.1

Closed forest & Open woodland

Euptera pluto kinugnana

Nymphalidae

0.57

0.02

1.1

Closed forest

Euryphura achlys

Nymphalidae

0.57

0.02

1.1

Grassland & Open woodland

Junonia oenone

Nymphalidae

0.29

0.02

1.1

Closed forest

Libythea labdaca

Libytheinae

0.43

0.02

1.1

Closed forest

Nepheronia argia

Pieridae

0.57

0.02

1.1

Open woodland

Ornipholidotos peucetia

Lycaenidae

0.57

0.02

1.1

Closed forest

Pentila pauli

Lycaenidae

0.43

0.02

1.1

Closed forest & Riparian vegetation

Phalanta eurytis

Nymphalidae

0.57

0.02

1.1

Closed forest & Open woodland

Pseudacraea boisduvali

Nymphalidae

0.57

0.02

1.1

Closed forest

Amauris ochlea

Nymphalidae

0.43

0.02

0.9

Open woodland

Anthene amarah

Lycaenidae

0.14

0.02

0.9

Closed forest & Open woodland

Anthene definita

Lycaenidae

0.43

0.02

0.9

Closed forest

Aterica galene

Nymphalidae

0.29

0.02

0.9

Open woodland

Axiocerses amanga

Lycaenidae

0.43

0.02

0.9

Closed forest & Open woodland

Coeliades forestan

Hesperiidae

0.43

0.02

0.9

Open woodland

Euryphura concoria

Nymphalidae

0.14

0.02

0.9

Open woodland & Riparian woodland

Heteropsis perspicua

Nymphalidae

0.43

0.02

0.9

Closed forest & Open woodland

Neptis laeta

Nymphalidae

0.29

0.02

0.9

Closed forest & Open woodland

Papilio nireus

Papilionidae

0.43

0.02

0.9

Closed forest & Open woodland

Pseudacraea lucretia

Nymphalidae

0.43

0.02

0.9

Closed forest & Open woodland

Sarangesa maculata

Hesperiidae

0.43

0.02

0.9

Open woodland

Acraea (Actinote) encedon

Nymphalidae

0.14

0.01

0.6

Closed forest & Riparian vegetation

Acraea egina

Nymphalidae

0.29

0.01

0.6

Closed forest & Open woodland

Acraea insignis

Nymphalidae

0.29

0.01

0.6

Closed forest & Grassland

Acraea oncaea

Nymphalidae

0.29

0.01

0.6

Closed forest & Riparian vegetation

Amauris albimaculata

Nymphalidae

0.29

0.01

0.6

Closed forest & Open woodland

Axiocerses harpax

Lycaenidae

0.29

0.01

0.6

Closed forest & Grassland

Charaxes bohemani

Nymphalidae

0.29

0.01

0.6

Closed forest

Charaxes brutus

Nymphalidae

0.29

0.01

0.6

Closed forest & Open woodland

Charaxes candiope

Nymphalidae

0.29

0.01

0.6

Closed forest & Grassland

Charaxes varanes

Nymphalidae

0.29

0.01

0.6

Grassland & Open woodland

Colotis evagore

Pieridae

0.29

0.01

0.6

Open woodland & Riparian vegetation

Colotis evippe ssp omphale

Pieridae

0.29

0.01

0.6

Open woodland & Riparian vegetation

Dixeia pigea

Pieridae

0.29

0.01

0.6

Open woodland

Eurema brigitta

Pieridae

0.29

0.01

0.6

Closed forest

Eurema hapale

Pieridae

0.14

0.01

0.6

Closed forest

Eurema hecabe

Pieridae

0.29

0.01

0.6

Closed forest & Open woodland

Graphium colonna

Papilionidae

0.29

0.01

0.6

Open woodland

Junonia hierta

Nymphalidae

0.14

0.01

0.6

Open woodland

Lampides boeticus

Lycaenidae

0.29

0.01

0.6

Open woodland

Leptosia alcesta

Pieridae

0.29

0.01

0.6

Closed forest

Nepheronia thalassina

Pieridae

0.29

0.01

0.6

Closed forest

Neptidopsis ophione

Nymphalidae

0.29

0.01

0.6

Open woodland

Neptis alta

Nymphalidae

0.14

0.01

0.6

Closed forest

Neptis carcassoni

Nymphalidae

0.29

0.01

0.6

Closed forest & Grassland

Neptis kiriakofi

Nymphalidae

0.29

0.01

0.6

Closed forest & Grassland

Papilio echerioides

Papilionidae

0.29

0.01

0.6

Closed forest & Open woodland

Papilio echerioides ssp pseudowertheri

Papilionidae

0.29

0.01

0.6

Closed forest & Riparian vegetation

Precis antilope

Nymphalidae

0.29

0.01

0.6

Closed forest

Precis octavia

Nymphalidae

0.29

0.01

0.6

Open woodland

Protogoniomorpha anacardii

Nymphalidae

0.14

0.01

0.6

Closed forest & Open woodland

Sarangesa motozi

Hesperiidae

0.29

0.01

0.6

Closed forest

Acraea petraea

Nymphalidae

0.14

0.01

0.3

Riparian vegetation

Acraea utengulensis

Nymphalidae

0.14

0.01

0.3

Closed forest

Amauris crawshayi

Nymphalidae

0.14

0.01

0.3

Closed forest

Anthene amarah amarah

Lycaenidae

0.14

0.01

0.3

Open woodland

Anthene liodes

Lycaenidae

0.14

0.01

0.3

Open woodland

Azanus natalensis

Lycaenidae

0.14

0.01

0.3

Closed forest

Baliochila abri

Lycaenidae

0.14

0.01

0.3

Grassland

Belenois zochalia agrippinides

Pieridae

0.14

0.01

0.3

Closed forest

Bicyclus campus

Nymphalidae

0.14

0.01

0.3

Closed forest

Celaenorrhinus zanqua

Hesperiidae

0.14

0.01

0.3

Closed forest

Charaxes guderiana

Nymphalidae

0.14

0.01

0.3

Open woodland

Charaxes jasius

Nymphalidae

0.14

0.01

0.3

Grassland

Colotis antevippe

Pieridae

0.14

0.01

0.3

Grassland

Colotis evagore ssp antigone

Pieridae

0.14

0.01

0.3

Closed forest

Common club dot sailer

Nymphalidae

0.14

0.01

0.3

Closed forest

Eretis melania

Hesperiidae

0.14

0.01

0.3

Open woodland

Eronia leda

Pieridae

0.14

0.01

0.3

Closed forest

Eurema floricola

Pieridae

0.14

0.01

0.3

Open woodland

Gegenes niso

Hesperiidae

0.14

0.01

0.3

Open woodland

Graphium porthaon

Papilionidae

0.14

0.01

0.3

Grassland

Hypolimnas deceptor

Nymphalidae

0.14

0.01

0.3

Open woodland

Hypolimnas usambara

Nymphalidae

0.14

0.01

0.3

Riparian vegetation

Lepidochrysops cupreus

Lycaenidae

0.14

0.01

0.3

Riparian vegetation

Leptotes babaulti

Lycaenidae

0.14

0.01

0.3

Grassland

Lycaena abbottii

Lycaenidae

0.14

0.01

0.3

Riparian vegetation

Metisella midas

Hesperiidae

0.14

0.01

0.3

Closed forest

Metisella willemi

Hesperiidae

0.14

0.01

0.3

Open woodland

Mimacraea marshalli

Lycaenidae

0.14

0.01

0.3

Closed forest

Mylothris rueppellii

Pieridae

0.14

0.01

0.3

Closed forest

Mylothris ruppellii ssp rhodesiana

Pieridae

0.14

0.01

0.3

Grassland

Neocoenyra heckmanni

Nymphalidae

0.14

0.01

0.3

Grassland

Neocoenyra ypthimoides

Nymphalidae

0.14

0.01

0.3

Open woodland

Neptis nina

Nymphalidae

0.14

0.01

0.3

Closed forest

Neptis saclava

Nymphalidae

0.14

0.01

0.3

Closed forest

Neptis saclava ssp marpessa

Nymphalidae

0.14

0.01

0.3

Closed forest

Ornipholidotos peucetia peuceda

Lycaenidae

0.14

0.01

0.3

Closed forest

Pentila rogersi

Lycaenidae

0.14

0.01

0.3

Riparian vegetation

Physcaeneura pione

Nymphalidae

0.14

0.01

0.3

Open woodland

Pinacopteryx eriphia

Pieridae

0.14

0.01

0.3

Riparian vegetation

Precis actia

Nymphalidae

0.14

0.01

0.3

Riparian vegetation

Precis ceryne

Nymphalidae

0.14

0.01

0.3

Closed forest

Salamis anacardii

Nymphalidae

0.14

0.01

0.3

Closed forest

Tagiades flesus

Hesperiidae

0.14

0.01

0.3

Open woodland

Teniorhinus harona

Hesperiidae

0.14

0.01

0.3

Closed forest

Teriomima subpunctata

Lycaenidae

0.14

0.01

0.3

Open woodland

Virachola jacksoni

Lycaenidae

0.14

0.01

0.3

Closed forest

Zizeeria knysna

Lycaenidae

0.14

0.01

0.3

References
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[2] Arof, A. S., Barbosa, F. F. (2024). Survey of the butterflies (Lepidoptera: Rhopalocera) species of the northern coast of East Java, Indonesia. Intl J Trop Drylands 8: 83-94.
[3] Bonebrake, T. C., Ponisio, L. C., Boggs, C. L., & Ehrlich, P. R. (2010). More than just indicators: a review of tropical butterfly ecology and conservation. Biological Conservation, 143(8), 1831-1841.
[4] Dar, A. A., Jamal, K., Shah, M. S., Ali, M., Sayed, S., Gaber, A., Kesba, H. & Salah, M. (2022). Species richness, abundance, distributional pattern and trait composition of butterfly assemblage change along an altitudinal gradient in the Gulmarg region of Jammu & Kashmir, India. Saudi Journal of Biological Sciences, 29, 2262-2269.
[5] Gogoi, R., Chetry, A. & Bhuyan, A. (2023). Diversity and Species Richness of Butterfly in Soraipung range of Dehing Patkai National Park, Assam, India. The Journal o Basic and Applied Zoology. 86: 6.
[6] Hamer, K. C., Hill, J. K., Benedick, S., Mustaffa, N., Sherratt, T. N., Maryati, M., & Chey, V. K. (2003). Ecology of butterflies in natural and selectively logged forests of northern Borneo: the importance of habitat heterogeneity. Journal of Applied Ecology, 40(1), 150-162.
[7] Hammer, T. J., Janzen, D. H., Hallwachs, W., & Fierer, N. (2020). "Caterpillar Microbiomes Diverge between a Generalist and Specialist Host Plant." Nature Ecology & Evolution, 4(3), 406-415.
[8] Hermawan, H. (2024). Diversity and Abundance of butterfly types around in Cirahab Sumber Area, Curuggoong Village Padarincang District, Serang Regency. Transpublika International Research in Exact Sciences (TIRES), Vol. 3(2).
[9] Ismail, N., Rahman, A. A. A., Mohamed, M., Abu Bakar, M. F., Tokiman, L. (2020). Butterfly as bioindicator for development of conservation areas in Bukit Reban Kambing, Bukit Belading and Bukit Tukau, Johor, Malaysia. Biodiversitas 21: 334-344.
[10] Larsen, T. B. (1996). The butterflies of Kenya and their natural history. Oxford University Press.
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[14] Marshall, A. R., Lovett, J. C., & White, P. C. L. (2010). Protective status and biodiversity conservation in Tanzania’s forests. Biological Conservation, 143(6), 1385-1393.
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[17] Munisi, E. J., Masenga, E. H., Nkwabi, A. K., Kiwango, H. R. & Mjingo, E. E. (2024). Butterfly Abundance and Diversity in Different Habitat Types in the Usangu Area, Ruaha National Park. A Journal of Entomology. Vol. 19.
[18] Ndandika, F., Lyimo, P. & Mwakalukwa, E. E. (2025). The Extent of Forest Recovery from the Previous Disturbances in the Magombera Nature Forest Reserve, Tanzania. East African Journal of Forestry and Agroforestry, 8(1), 80-105.
[19] Nkwabi, A. K., Liseki, S., Bukombe, J. K., Kija, H., Mmassy, E., Otsyina, R. M., Monjare, J. F., Kajuni, A. R., & Mwita, M. (2017). Species richness and composition of butterfly with reference to anthropogenic activities in the wildlife management areas, Southern Tanzania. Int J Fauna Biol Stud 4: 34–40.
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Cite This Article
  • APA Style

    Ndandika, F., Lyimo, P. J., Mwakalukwa, E. E. (2025). Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania. Agriculture, Forestry and Fisheries, 14(5), 215-225. https://doi.org/10.11648/j.aff.20251405.15

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    ACS Style

    Ndandika, F.; Lyimo, P. J.; Mwakalukwa, E. E. Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania. Agric. For. Fish. 2025, 14(5), 215-225. doi: 10.11648/j.aff.20251405.15

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    AMA Style

    Ndandika F, Lyimo PJ, Mwakalukwa EE. Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania. Agric For Fish. 2025;14(5):215-225. doi: 10.11648/j.aff.20251405.15

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  • @article{10.11648/j.aff.20251405.15,
      author = {Fredy Ndandika and Paulo John Lyimo and Ezekiel Edward Mwakalukwa},
      title = {Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania
    },
      journal = {Agriculture, Forestry and Fisheries},
      volume = {14},
      number = {5},
      pages = {215-225},
      doi = {10.11648/j.aff.20251405.15},
      url = {https://doi.org/10.11648/j.aff.20251405.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20251405.15},
      abstract = {Butterflies are widely recognized as biological indicators of habitat quality due to sensitivity to environmental changes and habitat disturbances. This study aimed to assess butterflies’ species diversity in Magombera Nature Forest Reserve (MNFR), Tanzania as indication of forest recovery from the previous disturbances. Specifically, the study aimed to assess i) current status of butterfly species richness and diversity in MNFR, and (ii) butterfly species abundance, dominance and distribution in MNFR. Data collected through line transects using sweep nets and visual observations across the forest area of 2,623 ha. Species richness computed as a total number of species in a given area, species diversity computed using Shannon-Weiner Diversity Index (H') and abundance computed as a total count of all individuals. The results indicated that a total of 155 butterfly species belonging to six families and 64 genera recorded in MNFR. Closed forest had high species richness (105) and diversity values (H' = 4.06) and Grassland has least species (46) and diversity values (H' = 3.27). Variation in vegetation composition in MNFR influence higher butterfly species richness, diversity and abundance in closed forest and open woodland than in grassland and riparian vegetation indicating the improvement of forest recovery from prior disturbances after being upgraded to nature reserve in 2018. Therefore, intensive management approaches that currently implemented by the Tanzania Forest Services Agency (TFS) at MNFR should be maintained to overcome other ecological changes. This will assure proper ecological flow within the forest and between Udzungwa Mountain National Park and Selous Game Reserve.
    },
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Butterflies’ Diversity Indicates Habitat Quality in Magombera Nature Forest Reserve, Tanzania
    
    AU  - Fredy Ndandika
    AU  - Paulo John Lyimo
    AU  - Ezekiel Edward Mwakalukwa
    Y1  - 2025/10/18
    PY  - 2025
    N1  - https://doi.org/10.11648/j.aff.20251405.15
    DO  - 10.11648/j.aff.20251405.15
    T2  - Agriculture, Forestry and Fisheries
    JF  - Agriculture, Forestry and Fisheries
    JO  - Agriculture, Forestry and Fisheries
    SP  - 215
    EP  - 225
    PB  - Science Publishing Group
    SN  - 2328-5648
    UR  - https://doi.org/10.11648/j.aff.20251405.15
    AB  - Butterflies are widely recognized as biological indicators of habitat quality due to sensitivity to environmental changes and habitat disturbances. This study aimed to assess butterflies’ species diversity in Magombera Nature Forest Reserve (MNFR), Tanzania as indication of forest recovery from the previous disturbances. Specifically, the study aimed to assess i) current status of butterfly species richness and diversity in MNFR, and (ii) butterfly species abundance, dominance and distribution in MNFR. Data collected through line transects using sweep nets and visual observations across the forest area of 2,623 ha. Species richness computed as a total number of species in a given area, species diversity computed using Shannon-Weiner Diversity Index (H') and abundance computed as a total count of all individuals. The results indicated that a total of 155 butterfly species belonging to six families and 64 genera recorded in MNFR. Closed forest had high species richness (105) and diversity values (H' = 4.06) and Grassland has least species (46) and diversity values (H' = 3.27). Variation in vegetation composition in MNFR influence higher butterfly species richness, diversity and abundance in closed forest and open woodland than in grassland and riparian vegetation indicating the improvement of forest recovery from prior disturbances after being upgraded to nature reserve in 2018. Therefore, intensive management approaches that currently implemented by the Tanzania Forest Services Agency (TFS) at MNFR should be maintained to overcome other ecological changes. This will assure proper ecological flow within the forest and between Udzungwa Mountain National Park and Selous Game Reserve.
    
    VL  - 14
    IS  - 5
    ER  - 

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Author Information
  • Department of Ecosystems and Conservation, Sokoine University of Agriculture, Morogoro, Tanzania

  • Department of Ecosystems and Conservation, Sokoine University of Agriculture, Morogoro, Tanzania

  • Department of Ecosystems and Conservation, Sokoine University of Agriculture, Morogoro, Tanzania

  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Results
    4. 4. Discussion
    5. 5. Conclusions and Recommendation
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  • Abbreviations
  • Acknowledgments
  • Conflicts of Interest
  • Appendix
  • References
  • Cite This Article
  • Author Information