Journal of Threatened Taxa |
www.threatenedtaxa.org | 26 August 2021 | 13(9): 19212–19222
ISSN 0974-7907 (Online) | ISSN 0974-7893
(Print)
https://doi.org/10.11609/jott.6945.13.9.19212-19222
#6945 | Received 28 November 2020 | Final
received 23 May 2021 | Finally accepted 20 July 2021
Factors affecting the species
richness and composition of bird species in a community managed forest of Nepal
Bishow Poudel 1,
Bijaya Neupane 2, Rajeev Joshi 3, Thakur Silwal 4,
Nirjala Raut 5 & Dol Raj Thanet 6
1 Faculty of Forestry, Amity Global
Education (Lord Buddha College), CTEVT, Tokha -11, Kathmandu 44600, Nepal.
1 The School of Forestry and
Natural Resource Management, IOF, Kirtipur 44618, Nepal.
2,4,5 Tribhuvan University, Institute
of Forestry, Pokhara Campus, Pokhara, Nepal.
3 Forest Research Institute (Deemed
to be) University, Dehradun, Uttarakhand 248195, India.
3 Amity Global Education (Lord
Buddha College), CTEVT, Tokha-11, Kathmandu 44600, Nepal.
6 Tribhuvan University, Institute
of Forestry, Hetauda Campus, Hetauda, Nepal.
1 bishowpoudel0@gmail.com (corresponding
author), 2 bijneu@gmail.com, 3 joshi.rajeev20@gmail.com, 4
thakur.silwal@gmail.com, 5 rnirjala@gmail.com, 6 dolrajthanet@gmail.com
Abstract: There exists limited information
on biodiversity including avifaunal diversity and habitat condition in
community forests (CF) of Nepal; thus we aimed to fulfill such gaps in Tibrekot
CF of Kaski district. We used the point count method for assessing bird diversity
and laid out a circular plot size of radius 5-m within 15-m distance from each
point count station for recording the biophysical habitat characteristics. Bird
species’ diversity, richness and evenness were calculated using popular indexes
and General Linear Model (GLM) was used to test the respective effect of
various biophysical factors associated with the richness of bird species. In
total, 166 (summer 122, winter 125) bird species were recorded in 46 sample
plots. The Shannon-Wiener diversity index was calculated as 3.99 and 4.09,
Margalef’s richness index as 16.84 and 17.53 and Pielou’s evenness index as
0.83 and 0.84 for summer and winter, respectively. The influencing factors for
richness of bird species were season (χ21, 90= 112.21; P= 0.016)
with higher richness in the summer season and low vegetation cover (χ21,
89= 113.88; P= 0.0064) with higher richness in lower percentage cover.
Thus, community managed forest should be protected as it has a significant role
in increasing bird diversity, which has potential for attracting avifaunal
tourism for the benefit of the local communities.
Keywords: Biodiversity, evenness index,
Margalef’s richness index, Pielou’s vegetation cover, Shannon-wiener index.
Editor: Carol Inskipp, Bishop Auckland
Co., Durham, UK. Date of publication: 26
August 2021 (online & print)
Citation: Poudel, B., B. Neupane, R.
Joshi, T. Silwal, N. Raut & D.R. Thanet (2021). Factors affecting the species
richness and composition of bird species in a community managed forest of
Nepal. Journal of Threatened Taxa 13(9): 19212–19222. https://doi.org/10.11609/jott.6945.13.9.19212-19222
Copyright: © Poudel et al. 2021. Creative Commons Attribution
4.0 International License. JoTT allows
unrestricted use, reproduction, and distribution of this article in any medium
by providing adequate credit to the author(s) and the source of publication.
Funding: Tribhuvan University, Institute of
Forestry, Office of Dean, Kirtipur/NORHED Project, funding number is
585-075-076.
Competing interests: The authors declare no competing
interests.
Author details: Mr. Poudel has awarded his MSc Degree from
School of Forestry and Natural Resource Management, Tribhuvan University, IOF,
Kathmandu, Nepal. Currently, he has been working as a Forestry Instructor at
Amity Global Education (Lord Buddha College), CTEVT, Tokha - 11, Kathmandu,
Nepal. B. Neupane is an Assistant
Professor at Tribhuvan University, IOF, Pokhara Campus, Pokhara, Nepal. He
belongs to the Department of Park Recreation and Wildlife Management at his
institution and has been working at this institution since December 2016. BN
possesses more than 5 years of research and teaching experiences in ecology and
wildlife conservation in Nepal as well as some field and lab experiences in
Norway and Sweden. Mr. Joshi has
completed M.Sc. Forestry from Forest Research Institute (Deemed to be
University), Dehradun-248195, Uttarakhand, India as a SAARC Scholar. Currently,
he is working as a Programme Coordinator (Forestry) at Amity Global Education
(Lord Buddha College), CTEVT, Tokha- 11, Kathmandu, Nepal, and serving as a Visiting
Lecturer at Faculty of Forestry, Agriculture and Forestry University, Hetauda,
Nepal. Dol
Raj Thanet is an Assistant Professor at Tribhuvan University, Institute
of Forestry, Nepal. His interests lie in ecology and behavior of terrestrial
mammals; understand the response of wildlife to different levels of
anthropogenic pressure, and human-wildlife interactions in human dominated
landscapes. Dr. Silwal has
completed his doctoral degree in human wildlife conflict (HWC) in the context
of Nepal. For the last 10 years, he has been working as a senior faculty in the
Department of Park Recreation and Wildlife Management in Tribhuvan University,
Institute of Forestry, Pokhara Campus, Nepal. At present, he is also Department
Head of his Department at his institution.
Ms. Nirjala Raut is
Assistant Professor in ‘Wildlife Conservation and Management’ at the Institute
of Forestry, Pokhara Campus, Tribhuvan University, Nepal. She topped master in
forestry science in 2005 with a gold medal. She has been taking bachelor and
master level classes in wildlife conservation, conservation biology, and
biodiversity conservation since 2011.
Author contributions: Conceptualization and research
design- BP and BN; Methodology- BP and BN; Data analysis and interpretation-BP
and BN; Data collection- BP, BN, TS and NR; Manuscript drafting and editorial
input- BP, BN, RJ and DRT; Critical review and revision at different stages-
All authors contributed equally; Finalizing the manuscript- BP, BN and RJ, and
Corresponding to the journal- BP.
Acknowledgements: We are grateful to Tribhuvan
University, Institute of Forestry, Office of Dean, Kirtipur/ NORHED Project for
providing Faculty Strategic Research Grant scheme. We would like to acknowledge
Mr. Mannshanta Ghimire of Pokhara Bird Society (PBS) and his team for assisting
us in bird monitoring and identification. Similarly, we provide sincere
gratitude to Prof. Krishna Raj Tiwari, PhD (dean), Prof. Santosh Rayamajhi, PhD
(research director), Prof. Achyut Raj Gyawali, assistant professor Amir Sedai,
assistant professor Menuka Maharjan, PhD, Mr. Giri Raj Poudel, and the staffs
of IOF for their contributions to accomplish this study. We are thankful to Mr.
Laxman Kunwar, Ms. Prativa Bhandari, Mr. Prabin Poudel, Mr. Pawan Karki, &
Mr. Pradip Subedi and some field experienced local people of Tibrekot Community
Forest, Hemja, Kaski for their generous supports during the field work.
INTRODUCTION
Nepal is a biodiversity-rich
country that represents a significant share of global biodiversity (Paudel et
al. 2012). The country occupies about 0.1% of the global area, but harbors 3.2%
and 1.1% of the world’s known flora and fauna, respectively (MoFSC 2014). This
includes 5.2% of the world’s known mammals, 9.5% birds, 5.1% gymnosperms, and
8.2% bryophytes. The Middle Mountains, also known as Middle Hills or Mid-hills
is physiologically the most diverse region of Nepal (MoFSC 2014). The zone has
the greatest diversity of ecosystems (52) and species in Nepal due to climatic
variations ranging from subtropical to temperate monsoonal climate and a great
variety of terrain and soil types.
Birds are an important part of
forest ecosystems and a key part of food chains that are crucial for
maintaining ecosystem function and resilience (Lundberg & Moberg 2003;
Mahiga et al. 2019). In addition, birds play vital ecological roles in both
agricultural land and forest ecosystems especially pest control, pollination,
and seed dispersal (Whelan et al. 2008; Mulwa et al. 2012; Basnet et al. 2016).
Bird communities are also indicators of the quality of forest habitats and thus
can help to guide management and conservation at regional and landscape levels
(Canterbury et al. 2000; Moning & Müller 2008). Many new research studies
have focused on the distribution of bird species richness and diversity (Wu et
al. 2013) and their changes over time. Studies have found variation in species
diversity among different regions of Nepal. For example, Jha (2019) observed 78
bird species belonging to seven orders and 24 families in the foothills of
Phulchoki Hill. Pandey et al. (2020) recorded 112 species belonging to 13
orders and 35 families in the Mardi Himal trekking region. In contrast, the
diversity of bird species was found to be higher in Reshunga Forest in the west
with 201 recorded bird species (Thakuri 2011).
Bird species diversity and
richness are associated with distribution and presence of field margins, forest
edges, habitat fragmentation, habitat quality, landscape changes, landscape
structure, farming systems, type of vegetation, and climate (Basnet et al.
2016). A recent study has found that temperature, precipitation, habitat resources,
and the level of disturbances influenced bird species’ diversity and richness
in the mid-hills (Pandey et al. 2020). Heterogeneity of bird habitats and the
level of human disturbance have significantly influenced the distribution,
diversity, and abundance of threatened bird species in central Nepal (Adhikari
et al. 2019). However, there is limited information about the seasonal
diversity and composition of bird species and the associated vegetation
characteristics and other habitat factors influencing the species richness in
Nepal.
Seasonal change in climate is an
additional prominent characteristic of mountain ecosystems that can influence
the temporal dynamics of bird species richness and composition. Birds in
mountain environments are sensitive to seasonal variation in climate, due to
resource bottlenecks for food and water availability and to temperature
regulation requirements (Katuwal et al. 2016). In Nepal, seasonal migration of
birds is closely linked to changes between the dry and monsoon seasons. Summer
migration usually starts between March and May (premonsoon season) and
sometimes migration is extended to the monsoon season in June and July, while
the winter migration starts during the post-monsoon season in September
(Katuwal et al. 2016). In contrast, although the diversity index was found to
be higher in the summer season, species richness remained uniform in both
summer and winter seasons in the Mardi Himal region of the mid-hills (Pandey et
al. 2020).
The livelihood of people of
developing countries, as well as biodiversity, is enhanced through the
maintenance of forest cover (Persha et al. 2010). When forest habitats are
protected, avifaunal tourism can be promoted that can contribute to the rural
economy of poor people (Girma et al. 2017; Gupta et al. 2019). However, the
role of community-managed forests in conservation of avifaunal diversity is
often neglected. In this study, we explore the contribution of community forest
to the avifaunal composition and species richness, followed by determining the
associated habitat characteristics. To the best of our knowledge, such
information is lacking in Nepal, therefore we believe that this study helps to
fill such gaps, which can ultimately contribute to conservation of bird species
and their habitats.
STUDY AREA
Tibrekot Community Forest (CF) is
located at Hemja in the northern part of Pokhara Metropolitan City ward number
25, Kaski district in Nepal at 28.29° N latitude and 83.93° E longitude (Figure
1). The CF covers an area of 120 ha with elevation of 1,000–1,400 m from mean
sea level that was handed over as community forestry to the local users in the
year 2000. The average annual temperature is 14–25 °C and the average annual
rainfall is 1,000 mm. Schima-Castanopsis is the dominant species of the
forest composition; other species recorded are Alnus nepalensis, Engelhardia
spicata, and Myrica esculanta. Mammal species recorded include Rhesus
macaque, Panthera pardus, Canis aureus, and Hystrix brachyura.
Altogether, 260 households manage
the Tibrekot CF. The forest was one of the long-term research sites of
Tribhuvan University, Institute of Forestry/ ComForM Project-funded by Denmark
from 2004 to 2014
(https://www.iofpc.edu.np/project/community-based-natural-forest-management-in-the-himalaya-comform).
As the study site lies near the Pokhara valley and on the way to the popular
Mardi Himal trekking route, protecting such community-managed forest can
attract avifaunal tourists who should consequently benefit local communities.
Besides, protection and maintenance of green forest nearby the city not only
attracts tourists, but also provides important ecosystem services and beauty to
the city’s surroundings.
FIELD METHODS
Bird Survey
Bird species in the study area
were surveyed using the point count method (Ralph et al. 1995). Points were
laid at a distance of 200 m apart (as far as possible except on some sites with
steep slopes, ridges, and dense bushes) along the existing trails as well as
new trails in order to represent the entire forest area (Ralph et at. 1995). In
addition, a few point count stations were placed on the private lands that were
connected to the CF (on the southwestern side) in order to include the bird
species from that region (Figure 3). The distance between two consecutive
stations was maintained at 200 m to avoid double counting. The bird species
seen and heard within a 20 m radius were counted for a period of 10 minutes
(Ralph et al. 1995; Hostetler & Main 2001). To minimize disturbances during
the survey, a waiting period of 3 to 5 min prior to counting was applied. The
data collection was carried out for five hours per day from 06:30 to 10:00 h in
the morning and from 16:30 to 18:00 h in the evening, as during those time
intervals the activities of the birds were considered to be prominent
(Hostetler & Main 2001). The winter field data was collected during January
2019 while the summer data was collected during August 2019 by assuming that
most of the seasonal migratory bird species visit the study area by that time.
In total, we spent 15 days for the fieldwork during each season. We avoided
performing point counts in days with rain and stronger wind. We belonged to a
team of 10 people including a bird expert, Bachelor in Forestry graduates, and
experienced local people, for the entire field survey of each season. In
addition, we hired the bird expert to identify the birds and record their
associated habitat characteristics during the field survey. The bird expert,
prior to the collection of field data, trained all the field team members for a
few days. Furthermore, the bird species were identified at species level with a
popular guide, Helm Field Guide ‘Birds of Nepal’ (Nepali version) and details
like number of individuals of particular bird species were also noted.
Photographs and calls were used to identify the conspicuous birds whereas
others were identified with the aid of binoculars and a spotting scope.
Recording
habitat characteristics
A circular plot of 5 m radius was
laid near each point count station (within 15 m) for recording the habitat
characteristics of bird species (Bernard et al. 2014). The habitat
characteristics include vegetation canopy layer (≥20 m above ground),
understory vegetation (5 to 20 m above ground), low vegetation (2 to 5m above
ground) and ground vegetation (≤2 m above ground) according to the designed
quadrat size for different categories of species. Different parameters of the
trees were recorded including DBH, height, crown cover, ground cover, number of
trees, frequency of shrubs and herbs. Additionally, habitat parameters such as
elevation, aspect, slope, geographic coordinates were also recorded from the
same plots.
Data Analysis
Abundance and diversity analysis
We followed Bird Life
International for the nomenclature and classification of birds (Burfield et al.
2017), IUCN (2017) for the global status and population trend and National Red
List Series of Nepal’s Birds for the national and migratory status (Inskipp et
al. 2016). The relative abundance was determined using the equation:
Relative
abundance (%)= n/N ×100
Where,
n= numbers of individuals of
particular recorded species
N= total number of individuals of
recorded species
In addition, the abundance status
was assessed as per the criteria of Khan & Ali (2014).
Very common if seen on >75% of
visits
Common if seen on 50–74% of
visits
Uncommon if seen on 25–49% of
visits
Rare if seen on <25% of visits
Complete checklists of bird
species were compiled in Microsoft office excel showing orders, family,
species, and bird type.
Similarly, species diversity was
determined using Shannon-Wiener’s index (Odum 1971) (H´), Margalef’s richness
index (Margalef 1958), and Pielou’s evenness index (Pielou 1996).
Shannon-Wiener’s
index
H’= -∑ni/N lnni/n
where,
ni= number of individuals of ith
species
N= total number of all
individuals
ln= natural logarithm
The value of the index ranges
from 1.5 (low species richness and evenness) to 5.0 (high species evenness and
richness).
Margalef’s richness index
R= S-1/ln N
where,
S= total number of species
N= total number of individuals
encountered
ln= natural logarithm
Higher the value of ‘R”, higher
will be the species richness.
Pielou’s
evenness index
e= H’/ ln S
where,
S= total number of species
H= Shannon-Weaver diversity index
The value of ‘e’ ranges from 0 to
1 with 1 being complete evenness i.e. species are equally distributed
throughout the habitat.
Modeling analysis
Generalized linear model (GLM)
was used to test the respective effect of various biophysical factors
associated with occupied habitats on the richness of bird species. The
independent pre-determined predictor variables were season, aspect, elevation,
slope, percentage cover of different vegetation categories including canopy
layer (≥20 m above ground), understory layer (5–20 m above ground), lower
vegetation layer (2–5 m above ground), and ground vegetation layer (≤2 m above
ground) whereas the dependent response variable was bird species richness.
After checking the normality and linearity using histogram and Q-Q plot
diagram, we found that most of the assumptions were fulfilled by our data and
the analysis was followed by a backwards selection method (stepwise removal of
non-significant variables or factors). The final model was developed with
significant predictor variables for which the likelihood ratio of χ2 was
significant (i.e., P ≤0.05). All the modeling analysis was performed using R×64
3.3.3 (http://cran.r-project.org/) with R Studio and the significance was set
at 5%.
RESULTS
A total of 166 bird species was
recorded in 46 sample plots. Among the recorded species, 122 species of birds
were recorded in summer while 125 species of birds were recorded in winter. A
total of 44 bird species was recorded only in winter and 41 bird species were
recorded only in summer, whereas 81 bird species were recorded in both summer
and winter. Among the total number of bird species 65% species were found to be
carnivores, 9% species were insectivores, 17% species were omnivores, 6%
species were frugivores, and 3% species were nectivores (Figure 2). The
richness of bird species was found to differ among the measured plots (Figure
3).
Relative
abundance and diversity of bird species
As per the criteria of Khan &
Ali (2014), most of the species were rare (recorded on less than 25% of visits).
The most abundant bird species found in the study area was Black Bulbul Hypsipetes
leucocephalus (RA= 8.28) followed by White-crested Laughingthrush Garrulax
leucolophus (RA= 6.99), and Great Barbet Psilopogon virens (RA= 6.3)
in summer, whereas in winter the most abundant bird species was Grey-hooded
Warbler Phylloscopus xanthoschistos (RA= 7.54) followed by Barn Swallow Hirundo
rustica (RA= 6.61) and White-crested Laughingthrush Garrulax leucolophus
(RA= 5.68) in winter. The relative abundance of 10 most dominant species is
given below (Table 1).
Species Diversity
The value of Shannon-wieners
index ranges from 1.5 to 5 in which 1.5 was the low species richness and
evenness and 5 was the high species richness and evenness. The values of index
of bird in summer and winter were 3.99 and 4.09, respectively, which
mean the species richness and evenness of birds was high in the study area. It
was high because there were more species with single individual and two
individuals recorded. The higher the value of Margalef’s richness index, the
higher will be the species richness. The values of the index in summer and
winter were 16.84 and 17.53, respectively, which means the species
richness was high. The value of Pielou’s evenness index ranges from 0 to 1 in
which 1 means complete evenness that indicates the species are equally
distributed throughout the habitat. The values of the index in summer and
winter were 0.83 and 0.84, respectively, which means the species were evenly
distributed in the study area (Table 2).
Habitat factors influencing the
richness of bird species
Among different pre-determined
biophysical variables, GLM analysis found significant effect of two variables
only, i.e., season and low vegetation percentage cover on the richness of bird
species in the occupied plots. There was a seasonal effect on richness of bird
species in the study area (χ21, 90= 112.21; P= 0.016), with higher
richness of bird species in the summer season than in the winter season (Figure
4). There was a significant effect of low vegetation percentage cover on the
richness of bird species (χ21, 89= 113.88; P= 0.0064), with a higher
richness of bird species in lower percentage cover (Figure 5). However, results
of the GLM showed no significant differences in the richness of bird species
with regard to other independent habitat variables.
DISCUSSION
This study aimed to assess the
species composition and the habitat factors influencing the bird species
richness in Tibrekot community forests (CF) that helped to fulfill such
research gap, particularly in the context of community forests in Nepal. A total
of 166 bird species was recorded in 46 sample plots in the CF during summer and
winter surveys. In Tibrekot CF, we recorded two globally near threatened
vulture species, the Himalayan Griffon Gyps himalayensis and Cinereous
Vulture Aegypius monachus and these two species were nationally
Vulnerable and Endangered species, respectively.
Thus, the large number of bird
species recorded including two globally near threatened species justifies the
importance to birds of Tibrekot CF. The value of Shannon-wieners index (3.99
and 4.09) showed that richness and evenness of birds was high in both seasons
in the study area. The value of Margalef’s richness index (16.84 and 17.53)
also showed that richness of birds was high. In addition, the value of Pielou’s
evenness index (0.83 and 0.84) showed that the bird species were equally
distributed throughout the habitat in the study area. In contrast, some past
studies have reported lower richness and evenness of birds in more disturbed
regions (Peh et al. 2006; Shahabuddin & Kumar 2007).
The general positive effect on
biodiversity is likely to reveal the contribution of CF not only in
revitalizing the degraded forestlands, but also the communities’ efforts in
maintaining the richness of faunal species (Luintel et al. 2018; Joshi &
Singh 2020; Joshi et al. 2020). The higher richness and diversity of forest
specialists birds in sites within CF areas may be related to the fact that
anthropogenic disturbance is limited in such areas (Baral & Inskipp 2005).
Various studies have shown that extraction and over consumption of fodder, fuel
wood, and non-timber forest product can negatively influence avifaunal
communities (Shahabuddin & Kumar 2007; Dahal et al. 2009; Kumar et al.
2011; Inskipp et al. 2013). The different disturbance intolerant species of CF
may therefore benefit from sustainable forest management that restricts the
illegal removal of standing dead trees, fallen timber for firewood and pruning
of canopies (Dahal et al. 2014; Joshi et al. 2019, 2020). However, the relationship
between the richness of bird species and the level of disturbances were not
investigated in this study.
Seasonality was one of the
influencing factors for bird species richness in the study area. In Nepal,
seasonal migration of birds is closely linked to changes between the dry and
monsoon seasons. It was found to be the determining factor for the abundance
and distribution of both migratory and non-migratory bird species (Girma et al.
2017). In addition, Manu & Cresswell (2007) reported that other environmental
factors influence the distribution and richness of bird species including
floristic composition, habitat structure, food availability, temperature, and
climate. Pandey et al. (2020) reported that multiple variables have profound
influences on bird diversity and richness in Nepal comprising habitat area,
gradients of climate (temperature and precipitation), resource availability and
disturbance. Adhikari et al. (2019) have mentioned that human disturbance
negatively influences the distribution and diversity of bird species.
Nevertheless, we did not take into account the climatic variables as well as
habitat disturbance activities that can influence bird species composition and
diversity. Heterogeneous and natural habitat conditions can help to protect the
bird diversity in the mid-hills of Nepal (Basnet et al. 2016). Therefore, it is
essential to conduct further studies on how birds respond to habitat
modifications and the influence of different climatic and habitat biophysical
variables at the local level. Such crucial information will help the concerned
authorities to prepare the site-specific strategies and plans focused on
protecting the bird species at the local level.
CONCLUSION
Out of 166 bird species, 81
species were recorded in both seasons within the study area. Although richness
of bird species was similar in the different seasons, relative abundance and
species evenness was higher in summer. The most abundant bird species found in
the study area was Black Bulbul Hypsipetes leucocephalus. There was a
significant seasonal effect on richness of bird species with higher richness in
summer season and at low vegetation percentage cover. Such vital information
about the avifaunal species and the associated habitat factors in the community
managed forest will help to develop strategies and plans to protect the
avifaunal species and their habitats, which has also potential to initiate
avifaunal tourism in Nepal for the benefit of local communities.
Table 1. Relative abundance and diversity of bird
species.
|
Common name |
Scientific name |
Relative abundance |
|
Summer |
Winter |
|||
1 |
Barn Swallow |
Hirundo rustica |
2.27 |
6.61 |
2 |
Black Bulbul |
Hypsipetes leucocephalus |
8.28 |
0 |
3 |
Black-lored Tit |
Machlolophus xanthogenys |
1.97 |
3.05 |
4 |
Great Barbet |
Psilopogon virens |
6.3 |
1.52 |
5 |
Grey-headed Canary-flycatcher |
Culicicapa ceylonensis |
2.35 |
2.79 |
6 |
Grey-hooded Warbler |
Phylloscopus xanthoschistos |
4.78 |
7.54 |
7 |
Grey Treepie |
Dendrocitta formosae |
4.93 |
5.17 |
8 |
Long-tailed Minivet |
Pericrocotus ethologus |
3.03 |
4.32 |
9 |
Red-vented Bulbul |
Pycnonotus cafer |
2.43 |
2.88 |
10 |
White-crested Laughingthrush |
Garrulax leucolophus |
6.99 |
5.68 |
Table 2. Species diversity index of the bird species.
|
Species diversity index |
Summer bird species |
Winter bird species |
1 |
Shannon-wieners index |
3.99 |
4.09 |
2 |
Margalef’s richness index |
16.84 |
17.53 |
3 |
Pielou’s evenness index |
0.83 |
0.84 |
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Appendix 1. Protection status of
bird species.
|
Species |
Category |
Number of observation |
1 |
Total |
|
166 |
2 |
CITES |
I |
1 |
II |
19 |
||
III |
1 |
||
3 |
IUCN Global |
Critically endangered |
3 |
Endangered |
2 |
||
Vulnerable |
0 |
||
Near Threatened |
2 |
||
4 |
IUCN National |
Critically endangered |
2 |
Endangered |
2 |
||
Vulnerable |
5 |
||
Near Threatened |
5 |
||
5 |
B05 |
|
5 |
6 |
B07 |
|
12 |
7 |
B08 |
|
22 |
8 |
B11 |
|
3 |
Appendix 2. List of the most
abundant bird species.
|
Common name |
Scientific name |
Order |
Family |
Feeding character |
No. of observations |
|
Summer |
Winter |
||||||
1 |
Barn Swallow |
Hirundo rustica |
Passeriformes |
Hirundinidae |
Insectivores |
30 |
78 |
2 |
Black Bulbul |
Hypsipetes leucocephalus |
Passeriformes |
Pycnonotidae |
Omnivorous |
109 |
0 |
3 |
Black-lored Tit |
Machlolophus xanthogenys |
Passeriformes |
Paridae |
Insectivores |
26 |
36 |
4 |
Great Barbet |
Psilopogon virens |
Piciformes |
Megalaimidae |
Frugivorous |
83 |
18 |
5 |
Grey-headed Canary-flycatcher |
Culicicapa ceylonensis |
Passeriformes |
Stenostiridae |
Insectivores |
31 |
33 |
6 |
Grey-hooded Warbler |
Phylloscopus xanthoschistos |
Passeriformes |
Phylloscopidae |
Insectivores |
63 |
89 |
7 |
Grey Treepie |
Dendrocitta formosae |
Passeriformes |
Corvidae |
Omnivorous |
65 |
61 |
8 |
Long-tailed Minivet |
Pericrocotus ethologus |
Passeriformes |
Campephagidae |
Insectivores |
40 |
51 |
9 |
Red-vented Bulbul |
Pycnonotus cafer |
Passeriformes |
Pycnonotidae |
Omnivorous |
32 |
34 |
10 |
White-crested Laughingthrushh |
Garrulax leucolophus |
Passeriformes |
Leiotrichidae |
Insectivores |
92 |
67 |
Appendix 3. List of total bird
species (166) recorded in the study area.
|
Common name |
Scientific name |
1 |
Ashy Drongo |
Dicrurus leucophaeus |
2 |
Ashy-throated Warbler |
Phylloscopus maculipennis |
3 |
Asian Barred Owlet |
Glaucidium cuculoides |
4 |
Asian Plain Martin |
Riparia chinensis |
5 |
Barn Swallow |
Hirundo rustica |
6 |
Bar-winged Flycatcher-shrike |
Hemipus picatus |
7 |
Black Bulbul |
Hypsipetes leucocephalus |
8 |
Black-chinned Babbler |
Cyanoderma pyrrhops |
9 |
Black Drongo |
Dicrurus macrocercus |
10 |
Black Eagle |
Ictinaetus malaiensis |
11 |
Black Francolin |
Francolinus francolinus |
12 |
Black-headed Jay |
Garrulus lanceolatus |
13 |
Black Kite |
Milvus migrans |
14 |
Black-lored Tit |
Machlolophus xanthogenys |
15 |
Black-throated Sunbird |
Aethopyga saturata |
16 |
Black-throated Thrush |
Turdus atrogularis |
17 |
Black-winged Cuckooshrike |
Lalage melaschistos |
18 |
Blue-bearded Bee-eater |
Nyctyornis athertoni |
19 |
Blue-capped Rock-thrush |
Monticola cinclorhyncha |
20 |
Blue-throated Barbet |
Psilopogon asiaticus |
21 |
Blue-throated Blue-flycatcher |
Cyornis rubeculoides |
22 |
Blue Whistling-thrush |
Myophonus caeruleus |
23 |
Blue-winged Minla |
Siva cyanouroptera |
24 |
Brahminy Starling |
Sturnia pagodarum |
25 |
Bronzed Drongo |
Dicrurus aeneus |
26 |
Buff-barred warbler |
Phylloscopus pulcher |
27 |
Cattle Egret |
Bubulcus ibis |
28 |
Chestnut-bellied Nuthatch |
Sitta cinnamoventris |
29 |
Chestnut-bellied Rock-thrush |
Monticola rufiventris |
30 |
Chestnut-headed Tesia |
Cettia castaneocoronata |
31 |
Cinereous Tit |
Parus cinereous |
32 |
Cinereous Vulture |
Aegypius monachus |
33 |
Collared Owlet |
Glaucidium brodiei |
34 |
Collared Scops-owl |
Otus lettia |
35 |
Common Barn-owl |
Tyto alba |
36 |
Common Green Magpie |
Cissa chinensis |
37 |
Common Hawk-cuckoo |
Hierococcyx varius |
38 |
Common Hoopoe |
Upupa epops |
39 |
Common Kestrel |
Falco tinnunculus |
40 |
Common Myna |
Acridotheres tristis |
41 |
Common Tailorbird |
Orthotomus sutorius |
42 |
Coppersmith Barbet |
Psilopogon haemacephalus |
43 |
Crested Serpent-eagle |
Spilornis cheela |
44 |
Crimson Sunbird |
Aethopyga siparaja |
45 |
Egyptian Vulture |
Neophron percnopterus |
46 |
Eurasian Tree Sparrow |
Passer montanus |
47 |
Eurasian Wryneck |
Jynx torquilla |
48 |
Fire-breasted Flowerpecker |
Dicaeum ignipectus |
49 |
Fulvous-breasted Woodpecker |
Dendrocopos macei |
50 |
Golden-throated Barbet |
Psilopogon franklinii |
51 |
Goosander |
Mergus merganser |
52 |
Great Barbet |
Psilopogon virens |
53 |
Greater Coucal |
Centropus sinensis |
54 |
Greater Flameback |
Chrysocolaptes guttacristatus |
55 |
Greater Yellownape |
Chrysophlegma flavinucha |
56 |
Green-backed Tit |
Parus monticolus |
57 |
Green-billed Malkoha |
Phaenicophaeus tristis |
58 |
Greenish Warbler |
Phylloscopus trochiloides |
59 |
Green Shrike-babbler |
Pteruthius xanthochlorus |
60 |
Green-tailed Sunbird |
Aethopyga nipalensis |
61 |
Grey-backed Shrike |
Lanius tephronotus |
62 |
Grey-bellied Cuckoo |
Cuculus passerinus |
63 |
Grey-bellied Tesia |
Tesia cyaniventer |
64 |
Grey Bushchat |
Saxicola ferreus |
65 |
Grey-headed Canary-flycatcher |
Culicicapa ceylonensis |
66 |
Grey-hooded Warbler |
Phylloscopus xanthoschistos |
67 |
Grey-naped Woodpecker |
Picus canicapillus |
68 |
Grey Nightjar |
Caprimulgus jotaka |
69 |
Grey-throated Babbler |
Stachyris nigriceps |
70 |
Grey Treepie |
Dendrocitta formosae |
71 |
Grey Wagtail |
Motacilla cinerea |
72 |
Hair-crested Drongo |
Dicrurus hottentottus |
73 |
Hill Partridge |
Arborophila torqueola |
74 |
Himalayan Bulbul |
Pycnonotus leucogenys |
75 |
Himalayan Griffon |
Gyps himalayensis |
76 |
Himalayan Swiftlet |
Aerodramus brevirostris |
77 |
Hodgson's Treecreeper |
Certhia hodgsoni |
78 |
House Crow |
Corvus splendens |
79 |
House Sparrow |
Passer domesticus |
80 |
House Swift |
Apus nipalensis |
81 |
Hume's Leaf-warbler |
Phylloscopus humei |
82 |
Indian Cuckoo |
Cuculus micropterus |
83 |
Indian Cuckooshrike |
Coracina macei |
84 |
Indian Golden Oriole |
Oriolus kundoo |
85 |
Indian Pond-heron |
Ardeola grayii |
86 |
Jungle Myna |
Acridotheres fuscus |
87 |
Kalij Pheasant |
Lophura leucomelanos |
88 |
Large-billed Crow |
Corvus macrorhynchos |
89 |
Lemon-rumped warbler |
Phylloscopus chloronotus |
90 |
Lesser Racquet-tailed Drongo |
Dicrurus remifer |
91 |
Lesser Yellownape |
Picus chlorolophus |
92 |
Little Egret |
Egretta garzetta |
93 |
Long-tailed Broadbill |
Psarisomus dalhousiae |
94 |
Long-tailed Minivet |
Pericrocotus ethologus |
95 |
Long-tailed Shrike |
Lanius schach |
96 |
Maroon Oriole |
Oriolus traillii |
97 |
Mountain Bulbul |
Ixos mcclellandii |
98 |
Mountain Hawk-eagle |
Nisaetus nipalensis |
99 |
Mountain Scops-owl |
Otus spilocephalus |
100 |
Northern Wren |
Troglodytes troglodytes |
101 |
Olive-backed Pipit |
Anthus hodgsoni |
102 |
Orange-bellied Leafbird |
Chloropsis hardwickii |
103 |
Orange-headed Thrush |
Geokichla citrina |
104 |
Oriental Magpie-robin |
Copsychus saularis |
105 |
Oriental Turtle-dove |
Streptopelia orientalis |
106 |
Oriental White-eye |
Zosterops palpebrosus |
107 |
Paddyfield Pipit |
Anthus rufulus |
108 |
Peregrine Falcon |
Falco peregrinus |
109 |
Plumbeous Water-redstart |
Phoenicurus fuliginosus |
110 |
Puff-throated Babbler |
Pellorneum ruficeps |
111 |
Red-billed Blue Magpie |
Urocissa erythroryncha |
112 |
Red-billed Leiothrix |
Leiothrix lutea |
113 |
Red-headed Tit |
Aegithalos iredalei |
114 |
Red-headed Vulture |
Sarcogyps calvus |
115 |
Red-rumped Swallow |
Cecropis daurica |
116 |
Red-throated Flycatcher |
Ficedula albicilla |
117 |
Red-vented Bulbul |
Pycnonotus cafer |
118 |
Rock Dove |
Columba livia |
119 |
Rose-ringed Parakeet |
Psittacula krameri |
120 |
Rosy Pipit |
Anthus roseatus |
121 |
Rufous-bellied Niltava |
Niltava sundara |
122 |
Rufous-chinned Laughingthrush |
Garrulax rufogularis |
123 |
Rufous-gorgeted Flycatcher |
Ficedula strophiata |
124 |
Rufous-throated Partridge |
Arborophila rufogularis |
125 |
Rufous Woodpecker |
Micropternus brachyurus |
126 |
Rusty-cheeked Scimitar-babbler |
Erythrogenys erythrogenys |
127 |
Scaly-breasted Cupwing |
Pnoepyga albiventer |
128 |
Scaly-breasted Munia |
Lonchura punctulata |
129 |
Scaly Thrush |
Zoothera dauma |
130 |
Scarlet Minivet |
Pericrocotus flammeus |
131 |
Shikra |
Accipiter badius |
132 |
Slaty-backed Flycatcher |
Ficedula erithacus |
133 |
Slaty-headed Parakeet |
Psittacula himalayana |
134 |
Slender-billed Vulture |
Gyps tenuirostris |
135 |
Small Niltava |
Niltava macgrigoriae |
136 |
Snowy-browed Flycatcher |
Ficedula hyperythra |
137 |
Speckled Piculet |
Picumnus innominatus |
138 |
Spiny Babbler |
Acanthoptila nipalensis |
139 |
Spotted froktal |
Enicurus maculatus |
140 |
Spotted Owlet |
Athene brama |
141 |
Steppe Eagle |
Aquila nipalensis |
142 |
Striated Prinia |
Prinia crinigera |
143 |
Thick-billed Warbler |
Arundinax aedon |
144 |
Tickell's Leaf-warbler |
Phylloscopus affinis |
145 |
Ultramarine Flycatcher |
Ficedula superciliaris |
146 |
Velvet-fronted Nuthatch |
Sitta frontalis |
147 |
Verditer Flycatcher |
Eumyias thalassinus |
148 |
Wallcreeper |
Tichodroma muraria |
149 |
Wedge-tailed Green-pigeon |
Treron sphenurus |
150 |
Western Koel |
Eudynamys scolopaceus |
151 |
Western Spotted Dove |
Spilopelia suratensis |
152 |
Western Yellow Wagtail |
Motacilla flava |
153 |
Whistler's Warbler |
Phylloscopus whistleri |
154 |
White-bellied Erpornis |
Erpornis zantholeuca |
155 |
White-breasted Kingfisher |
Halcyon smyrnensis |
156 |
White-browed Shrike-babbler |
Pteruthius aeralatus |
157 |
White-browed Wagtail |
Motacilla maderaspatensis |
158 |
White-capped Water-redstart |
Phoenicurus leucocephalus |
159 |
White-crested Laughingthrush |
Garrulax leucolophus |
160 |
White-rumped Munia |
Lonchura striata |
161 |
White-rumped Vulture |
Gyps bengalensis |
162 |
White-tailed Nuthatch |
Sitta himalayensis |
163 |
White-throated Fantail |
Rhipidura albicollis |
164 |
White-throated Laughingthrush |
Garrulax albogularis |
165 |
White Wagtail |
Motacilla alba |
166 |
Yellow-bellied Fairy-fantail |
Chelidorhynx hypoxanthus |