Avian Community Composition and Spatio-Temporal Patterns at Deva Vatala National Park, Azad Jammu and Kashmir, Pakistan
Avian community Composition and Spatio-Temporal Patterns at Deva Vatala National Park, Azad Jammu and Kashmir, Pakistan
Muhammad Umar1, Mubashar Hussain1*, Muhammad Faheem Malik1, Muhammad Naeem Awan2 and David C. Lee3
1Department of Zoology, Faculty of Science, University of Gujrat, Gujrat, Pakistan
2WWF Pakistan Regional Office Muzaffarabad, Pakistan
3School of Applied Sciences, The University of South Wales, Pontypridd, UK
ABSTRACT
An assessment of the avifauna of Deva Vatala National Park (DVNP), Bhimber, Azad Jammu and Kashmir, Pakistan was conducted from June 2017 to May 2018. Data were collected along one km line transects at three sites within the National Park: Barmala, Deva and Vatala. In total, 52 species were recorded, which included the globally threatened sociable lapwing. The most abundant species were asian green bee-eater, red-vented bulbul, house sparrow and common myna, and no species was unique to a single site in the DVNP. Highest abundance, richness and diversity was recorded in Deva, with lowest community measures recorded in Barmala. Species richness and diversity peaked in September and was lowest in November. Applying a suite of community composition analyses, bird communities were significantly different across all the three sites (ANOSIM), with 10 species explaining 16.5% to 17.2% of these community dissimilarities (SIMPER). Of these key contributing species, the relative abundance of seven species was significantly different across sites. This study documents spatio-temporal patterns in the avifauna of DVNP, providing a basis for ongoing monitoring in the DVNP, and further studies focusing on bird-habitat associations and the current impacts of habitat degradation. The presence of sociable lapwing is an indication of habitat suitability and highlights the need for further surveys in the region to locate other possible wintering grounds for this critically endangered species.
Article Information
Received 11 July 2019
Revised 30 Auguat 2019
Accepted 15 October 2019
Available online 19 March 2021
Authors’ Contribution
MU, MH and MFM conceived and designed the study, collected the data and drafted the manuscript. MNA and DCL analysed the data and prepared the final manuscript.
Key words
Bird communities, PRIMER software, Sociable lapwing
DOI: https://dx.doi.org/10.17582/journal.pjz/20190711190734
* Corresponding author: [email protected]
0030-9923/2021/0003-0921 $ 9.00/0
Copyright 2021 Zoological Society of Pakistan
Introduction
With the current context of biodiversity losses, identifying changes in species and community composition is an important focus for supporting effective conservation management of protected area (Gamfeldt et al., 2008), which can play an integral role in biodiversity conservation (Ladin et al., 2016). This approach can assess existing biodiversity capital, current or anticipated drivers of impact, knowledge gaps and the directions required to improve management therein (Wathen et al., 2014). Continuous monitoring is a relatively cost-effective tool for protected area management (Gamfeldt et al., 2008). It can provide the basis for enhancing community engagement, education and outreach that supports long-term conservation goals (Berger et al., 2014).
Deva Vatala National Park (DVNP), Bhimber, Azad Jammu and Kashmir (AJ&K) is located on the lower slopes of the Western Himalayas and, broadly, at a landscape ecotone between anthropogenically modified land and subtropical semi-evergreen forests (Grimmett et al., 2008). Historic conflict in the region has prevented any full appraisal of the National Park’s conservation value. Consequently, an understanding of its biodiversity is lacking. Aut-ecological studies in the National Park have focused on Indian peafowl (Anwar et al., 2015) and Red jungle fowl (Subhani et al., 2010; Akrim et al., 2015; Anwar et al., 2016). However wider, community-based assessment of the avifauna in DVNP is lacking. This includes confirming species presence and any quantification of associated temporal or spatial distributions.
The aim of this study was to provide the first assessment of the avifauna in the National Park. We generate species’ relative abundance and evaluate the spatio-temporal composition of the bird community within DVNP, providing a quantified basis for long-term monitoring. To this end, we utilise a suite of community composition analyses that may provide a template for similar studies in the region. We also present important records of the critically endangered Sociable lapwing, evidencing possible habitat suitability for this species.
MATERIALS AND METHODS
Study area
The study was carried out at three sites (Barmala, Deva and Vatala) in Deva Vatala National Park (DVNP; 32°51-32°55 N, 74°16-74°24 E), AJ and K (Fig. 1), situated to the west of the line of control between Pakistan and India. Declared as a National Park in 2007, DVNP covers an area of 2,993 ha in the Western Himalayan foothills at an elevation of 267 to 536m above sea level.
DVNP comprises sub-tropical semi-evergreen forests (Grimmett et al., 2008) and cultivated areas (e.g. for wheat; Anwar et al., 2015) over undulating terrain of the Deva and Vatala ranges (GOAJ&K, 1985). Indicative plant species include Senegalia (Acacia) modesta, Dalbergia sissoo, Vachellia (Acacia) nilotica, Ficus benghalensis, Mangifera indica, Dodonaea viscosa, Carissa opaca, Ziziphus nummularia, Cynodon dactylon, Desmostachya bipinnata, and Saccharum spontaneum (Azam et al., 2007). With a dry sub-tropical climate, highest rainfall (974 mm) is in July and August, while annual temperatures range from 5° to 46°C (GOAJ&K, 1985). In winter months, nomadic farmers move their livestock into DVNP for grazing, leaving again in the spring. Stone quarrying also poses a threat to biodiversity in DVNP.
Situated at an elevation of 350-411m asl, the hilly forests of Barmala (32°52’58.7” N, 74°20’18.97” E) have seasonal streams and, across vegetation layers, are dominated by Butea monosperma, D. sissoo, D. viscosa, Lannea coromandelica, S. spontaneum, V. nilotica, Salvia spp., Senna occidentalis, and Zanthoxylum armatum. While comparatively undisturbed, livestock grazing, cutting wood for fuel, and grass collection and burning all impact upon the area. The forests of Deva (32°54’8.6” N, 74°21’29.7” E; 306-381m asl) include species characteristic of Barmala along with Aesculus indica, Ziziphus mauritiana, M. indica and Senegalia modesta (Subhani et al., 2010). Shrubs include Calotropis procera, D. viscosa, S. spontaneum, and Trichodesma indicum. This area of the DVNP has plains and seasonal streams. Human population density is lower than in Vatala but is impacted by daily movement of livestock to the forest areas, and vehicles transporting quarried stones. Situated closest to the line of control, the army’s presence may also disturb this area of the park. Vatala (32°52’38.7” N, 74°17’44.7” E; 350-396m asl) shares a similar plant community composition to the other sites, but is particularly dense with D. sissoo, M. indica, and D. viscosa. Human disturbance is the highest in this area, due to a higher population density, summer visitors, and the army, with most areas impacted by stone quarrying and livestock grazing. This has left only a few undistributed areas, mainly comprising open and cultivated areas.
Bird survey methods
The three study sites were each surveyed once a month from May 2017 to April 2018 using a fixed-width line transect method. Three one km long transects were positioned randomly >400m apart in each of the three study areas. Surveys were conducted randomly in mornings (05:00-08:00 h) and afternoons (16:00-19:00 h). Each transect was surveyed by two observers walking at a speed of about 2 km/h once in the morning or evening per month (36 transects per site across the study). All birds seen or heard along transect lines were recorded to a maximum perpendicular distance of 50 m; 0.1 km2 surveyed per transect.
Data analysis
Species percentage relative abundance was converted into ordinal categories of abundance: only one individual recorded per month = ‘Rare’; 2–4 = ‘Uncommon’; 5–9 = ‘Frequent’; 10–19 = ‘Common’; and ≥20 = ‘Abundant’. Numbers of independent encounters were converted to species’ relative densities (km-2), based on the total number of transects surveyed (n= 36), and assuming 100% detection probability of all birds within the 50m fixed-width (Buckland et al., 2001).
Site and overall species relative abundance were calculated for each species and tested using a one-away ANOVA, with site abundance compared using a Tukey post hoc test. Bird communities were quantified using a range of analyses in PRIMER v6.0 (Clarke and Gorley, 2006). These techniques and their application in PRIMER are described fully in Clarke (1993), and Clarke and Warwick (2001). Each transect was factorised by site and month. The data were pre-treated with a square root transformation to down-weight the influence of the most abundant species (Clarke and Warwick, 2001). A similarity matrix was constructed using the Bray-Curtis coefficient. A similarity profile test (SIMPROF) was applied to a cluster analysis classification to identify clusters of samples with different community structures. These were ordinated using non-metric multidimensional scaling (nMDS). A two-way analysis of similarities (ANOSIM) was performed to investigate spatial and temporal differences between bird communities. A similarity of percentage analysis (SIMPER) was carried out to identify which species contributed the most to differences in communities across sites. The abundances of key contributing species were analysed using a Kruskal Wallis test, since the data did not fulfil the assumptions of parametric testing. A Bonferroni correction was used to adjust the significance values for groups of tests and avoid Type I errors. Overall and site-specific diversity indices were generated using the DIVERSE function in PRIMER (Clarke and Gorley, 2006). These were compared using a one-away ANOVA and Tukey post hoc testing.
Results
Overview
In total, 6,487 birds of 52 species were recorded from 108 transect samples in DVNP (Table I). These included the globally threatened Sociable lapwing (CR; BirdLife International, 2018), which was recorded in all months except April, May, June and November, and with a peak count of five birds in August at Deva and Vatala. It was never recorded in Barmala. All 52 species were recorded in Deva, while 48 (92.3%) were recorded in Vatala and 47 (90.4%) in Barmala. Forty-four species (84.6%) were common at all three sites, eight species (15.4%) were observed at any two sites, while no species were unique to one site. Overall site diversity (H´loge) was 3.307, while location-specific species diversity was significantly higher in Deva (H´loge= 3.415 ± 0.044) than in Vatala (H´loge= 3.273 ± 0.004) and Barmala (H´loge = 3.232 ± 0.032; F2,33 = 6.787, P = 0.003).
The most abundant species were Asian green bee-eater, Red-vented bulbul, House sparrow and Common myna, accounting for 22.5% of overall community abundance. Thirty-seven species were residents, eight were winter visitors, six summer visitors, and one irregular visitor (Intermediate egret). Northern house martin and White wagtail were the most abundant summer and winter visitors, respectively. Rufous-tailed lark and Sociable lapwing were the least abundant wintering species, while Spotted forktail and Eurasian golden oriole were the least abundant summer breeders. Ten species were classified as Abundant, 10 as Common, 16 as Frequent, 12 as Uncommon (including Sociable lapwing) and four as Rare (Table I).
Spatio-temporal patterns in community composition
Maximum mean species richness and diversity was recorded in September (Sr= 42.0 ± 4.00; H´= 3.52 ± 0.094), while the lowest species richness and diversity was recorded in November (Sr= 27.0 ± 1.00; H´= 3.10 ± 0.045; Fig. 2). Relative abundance of birds recorded was the highest in October (11.1%) and March (10.7%), and lowest in May (6.5%), although this did not change significantly across months (Fig. 3). The most frequently encountered species by months were: Common myna
Table I. Species relative abundance and density (km-2).
Species |
Breeding status |
Conservation status |
Relative abundance (%) |
Abundance 1 |
Relative density (± SE) |
Asian green bee-eater (Merops orientalis) |
R |
LC |
6.0 |
A (386) |
3.2 ± 0.20 |
Red-vented bulbul (Pycnonotus cafer) |
R |
LC |
5.8 |
A (377) |
3.1 ± 0.20 |
House sparrow (Passer domesticus) |
R |
LC |
5.4 |
A (350) |
2.9 ± 0.20 |
Common myna (Acridotheres tristis) |
R |
LC |
5.3 |
A (347) |
2.8 ± 0.22 |
Black drongo (Dicrurus macrocercus) |
R |
LC |
4.6 |
A (300) |
2.5 ± 0.18 |
Purple sunbird (Cinnyris asiaticus) |
R |
LC |
4.5 |
A (293) |
2.4 ± 0.22 |
Common babbler (Argya caudata) |
R |
LC |
4.4 |
A (284) |
2.3 ± 0.20 |
Himalayan bulbul (Pycnonotus leucogenys) |
R |
LC |
3.9 |
A (256) |
2.1 ± 0.19 |
Brown rockchat (Oenanthe fusca) |
R |
LC |
3.7 |
A (242) |
2.0 ± 0.17 |
House crow (Corvus splendens) |
R |
LC |
3.7 |
A (237) |
1.9 ± 0.18 |
Indian robin (Saxicoloides fulicatus) |
R |
LC |
3.2 |
C (210) |
1.7 ± 0.15 |
Jungle babbler (Turdoides striata) |
R |
LC |
3.1 |
C (199) |
1.6 ± 0.15 |
Oriental turtle-dove (Streptopelia orientalis) |
R |
LC |
2.8 |
C (183) |
1.5 ± 0.20 |
Cattle egret (Bubulcus ibis) |
R |
LC |
2.8 |
C (179) |
1.4 ± 0.17 |
Pied bushchat (Saxicola caprata) |
R |
LC |
2.6 |
C (170) |
1.4 ± 0.14 |
Brahminy starling (Sturnia pagodarum) |
R |
LC |
2.5 |
C (160) |
1.3 ± 0.17 |
Northern house martin (Delichon urbicum) |
S |
LC |
2.3 |
C (147) |
1.2 ± 0.18 |
White wagtail (Motacilla alba) |
W |
LC |
2.1 |
C (137) |
1.1 ± 0.18 |
Grey partridge (Perdix perdix) |
R |
LC |
2.0 |
C (127) |
1.0 ± 0.17 |
Laughing dove (Spilopelia senegalensis) |
R |
LC |
1.9 |
C (121) |
1.0 ± 0.12 |
Red-wattled lapwing (Vanellus indicus) |
R |
LC |
1.6 |
F (103) |
0.8 ± 0.16 |
Spotted flycatcher (Muscicapa striata) |
W |
LC |
1.5 |
F (100) |
0.8 ± 0.15 |
Indian peafowl (Pavo cristatus) |
R |
LC |
1.5 |
F (99) |
0.8 ± 0.12 |
Graceful prinia (Prinia gracilis) |
R |
LC |
1.5 |
F (95) |
0.7 ± 0.15 |
Western spotted dove (Spilopelia suratensis) |
S |
LC |
1.4 |
F (91) |
0.7 ± 0.12 |
Common hoopoe (Upupa epops) |
R |
LC |
1.3 |
F (87) |
0.7 ± 0.11 |
White-eared bulbul (Pycnonotus leucotis) |
R |
LC |
1.3 |
F (86) |
0.7 ± 0.14 |
Oriental magpie-robin (Copsychus saularis) |
R |
LC |
1.2 |
F (77) |
0.6 ± 0.13 |
Crested lark (Galerida cristata) |
R |
LC |
1.1 |
F (74) |
0.6 ± 0.13 |
Indian roller (Coracias benghalensis) |
R |
LC |
1.1 |
F (71) |
0.5 ± 0.10 |
Variable wheatear (Oenanthe picata) |
R |
LC |
1.0 |
F (65) |
0.5 ± 0.12 |
Rufous treepie (Dendrocitta vagabunda) |
R |
LC |
1.0 |
F (63) |
0.5 ± 0.11 |
Tree pipit (Anthus trivialis) |
S |
LC |
0.9 |
F (61) |
0.5 ± 0.11 |
Red turtle-dove (Streptopelia tranquebarica) |
R |
LC |
0.9 |
F (61) |
0.5 ± 0.14 |
Red junglefowl (Gallus gallus) |
R |
LC |
0.9 |
F (60) |
0.5 ± 0.10 |
Jacobin cuckoo (Clamator jacobinus) |
R |
LC |
0.9 |
F (60) |
0.5 ± 0.12 |
Black bulbul (Hypsipetes leucocephalus) |
W |
LC |
0.8 |
U (54) |
0.4 ± 0.11 |
Long-tailed shrike (Lanius schach) |
W |
LC |
0.8 |
U (49) |
0.4 ± 0.11 |
Intermediate egret (Ardea intermedia) |
I |
LC |
0.7 |
U (48) |
0.4 ± 0.13 |
White-breasted kingfisher (Halcyon smyrnensis) |
R |
LC |
0.7 |
U (46) |
0.3 ± 0.10 |
Large grey babbler (Argya malcolmi) |
S |
LC |
0.7 |
U (45) |
0.3 ± 0.12 |
Western koel (Eudynamys scolopaceus) |
R |
LC |
0.7 |
U (43) |
0.3 ± 0.10 |
Indian cuckoo (Cuculus micropterus) |
W |
LC |
0.6 |
U (37) |
0.3 ± 0.08 |
Eurasian collared-dove (Streptopelia decaocto) |
R |
LC |
0.5 |
U (35) |
0.2 ± 0.10 |
Greater hoopoe-lark (Alaemon alaudipes) |
W |
LC |
0.5 |
U (32) |
0.2 ± 0.10 |
White-bellied redstart (Hodgsonius phaenicuroides) |
R |
LC |
0.5 |
U (31) |
0.2 ± 0.11 |
Hume's wheatear (Oenanthe albonigra) |
R |
LC |
0.4 |
U (28) |
0.2 ± 0.10 |
Sociable lapwing (Vanellus gregarius) |
W |
CR |
0.4 |
U (25) |
0.2 ± 0.09 |
Rufous-tailed lark (Ammomanes phoenicura) |
W |
LC |
0.3 |
R (22) |
0.1 ± 0.11 |
Black francolin (Francolinus francolinus) |
R |
LC |
0.3 |
R (17) |
0.1 ± 0.08 |
Spotted forktail (Enicurus maculatus) |
S |
LC |
0.2 |
R (12) |
0.1 ± 0.08 |
Eurasian golden oriole (Oriolus oriolus) |
S |
LC |
0.1 |
R (5) |
0.0 ± 0.05 |
Breeding status: I (irregular visitor), R (resident), S (summer visitor), W (winter visitor). Conservation status: CR (Critically Endangered), LC (Least Concern). 1Abundance (ordinal scale), with total number of individuals encountered in parentheses: A, Abundant; C, Common; F, Frequent; U, Uncommon; R, Rare.
Table II. Main species contributing to dissimilarities among site communities.
Species |
Mean abundance (± SE; Site 1) |
Mean abundance (± SE; Site 2) |
Mean dissimilarity (± SD) |
% Contribution |
Cumulative % |
Barmala |
Deva |
||||
Oriental turtle dove |
0.9 ± 0.30 |
5.3 ± 0.60 |
1.3 ± 1.48 |
3.7 |
3.7 |
Red-wattled lapwing |
0 |
1.8 ± 0.17 |
1.3 ± 3.90 |
3.4 |
7.1 |
House crow |
± 0.28 |
2.7 ± 0.15 |
1.2 ± 1.51 |
3.2 |
10.3 |
Purple sunbird |
2.4 ± 0.45 |
2.1 ± 0.41 |
1.1 ± 1.18 |
3.1 |
13.4 |
Cattle egret |
1.0 ± 0.31 |
2.5 ± 0.14 |
1.1 ± 1.37 |
3.1 |
16.5 |
Barmala |
Vatala |
||||
House crow |
1.1 ± 0.28 |
3.1 ± 0.14 |
1.5 ± 1.89 |
4.1 |
4.1 |
Red-wattled lapwing |
0 |
2.0 ± 0.32 |
1.4 ± 1.86 |
3.8 |
7.9 |
White wagtail |
1.0 ± 0.30 |
1.9 ± 0.44 |
1.2 ± 1.32 |
3.2 |
11.1 |
Cattle egret |
1.0 ± 0.31 |
2.4 ± 0.27 |
1.1 ± 1.41 |
3.1 |
14.2 |
Oriental turtle-dove |
0.9 ± 0.30 |
2.1 ± 0.28 |
1.1 ± 1.46 |
3.0 |
17.2 |
Deva |
Vatala |
||||
Common myna |
2.0 ± 0.24 |
4.0 ± 0.19 |
1.3 ± 1.76 |
3.8 |
3.8 |
Northern house martin |
0.7 ± 0.30 |
2.2 ± 0.35 |
1.2 ± 1.52 |
3.6 |
7.4 |
Brahminy starling |
1.0 ± 0.31 |
2.7 ± 0.16 |
1.1 ± 1.44 |
3.3 |
10.7 |
Himalayan bulbul |
1.5 ± 0.28 |
3.2 ± 0.19 |
1.1 ± 1.55 |
3.3 |
14.0 |
White wagtail |
1.5 ± 0.35 |
1.9 ± 0.44 |
1.0 ± 1.25 |
3.0 |
17.0 |
Only the top five contributing species are listed for each pairwise comparison. Analysis is based on pre-treated square-root transformed abundance (Clarke and Warwick, 2001).
(June, August, December and January), Purple sunbird (July, February and March), Red-vented bulbul (September, October and May), Black drongo (November), and Asian green bee-eater (April; Fig. 3). Overall monthly abundance of birds was significantly different across sites (F(2, 33) = 3.741, P = 0.034), and significantly higher in Vatala (202.8 ± 12.52 SE) than Barmala (154.0 ± 11.09 SE).
The cluster analysis dendrogram (Fig. 4) and accompanying nMDS ordination plot (Fig. 5) characterised the temporal and spatial clustering of bird community compositions, which is broadly along seasonal groupings. All bird communities were at least 60% similar to one another, except for the May community in Deva. Bird communities were significantly different in composition across all sites (ANOSIM; R = 0.391, P= 0.001). All pairwise comparisons of bird communities between sites were significantly different (Barmala-Deva, R = 0.367, P = 0.002; Barmala-Vatala, R = 0.461, P = 0.001); Deva-Vatala, R = 0.364, P = 0.001). Within-site community composition similarities were between 67.6% (Barmala) and 72.3% (Vatala), while between-site dissimilarities ranged from 33.5% (Deva-Vatala) to 36.4% (Barmala-Deva). The top five species, represented by 10 species across all sites (21.2% of total species recorded), contributed 16.5% to 17.2% of community composition dissimilarities, although no single species contributed to dissimilarities between all three sites’ bird communities (Table II). Of these key contributing species, the relative abundance of seven species was significantly different across sites (Table III; using a corrected P value of 0.005, where k = 10). On average, key contributing species were significantly more abundant in Vatala (mean rank = 235.7) than in Deva (mean rank = 163.2) and Barmala (mean rank = 142.7; H2 = 53.70, P <0.001).
Table III. Kruskal Wallis results of between-site differences in abundances of the top 10 key contributing species.
Species |
H |
P |
Barmala |
Deva |
Vatala |
House crow |
23.67 |
<0.001 |
a |
b |
b |
Common myna |
21.25 |
<0.001 |
a |
a |
b |
Red-wattled lapwing |
21.10 |
<0.001 |
a |
b |
b |
Himalayan bulbul |
16.93 |
<0.001 |
a |
b |
a |
Brahminy starling |
16.27 |
<0.001 |
a |
a |
b |
Cattle egret |
12.56 |
0.002 |
a |
b |
b |
Oriental turtle dove |
11.78 |
0.003 |
a, c |
b |
b, c |
Northern house martin |
9.07 |
0.011 |
|||
White wagtail |
4.18 |
0.123 |
|||
Purple sunbird |
1.75 |
0.418 |
The shading indicates species’ relative abundance rankings (light grey, site with lowest abundance; dark grey, site with highest abundance). Letters indicate similar or significantly different pairwise site abundances (with a Bonferroni correction).
Discussion
The most abundant species were, perhaps unsurprisingly, all resident birds, although only two of these could be considered forest species (Rasmussen and Anderton, 2005). Common myna is a common resident of open and agricultural areas (Snow and Perrins, 1998), as are Black drongo and Asian green bee-eater (MacKinnon and Phillipps, 2005), the latter avoiding wetter, higher elevation habitat (Snow and Perrins, 1998). Red-vented bulbul and Purple sunbird are associated with open forest (Rasmussen and Anderton, 2005), and the latter with scrub vegetation and forest edge (MacKinnon and Phillipps, 2005), being locally nomadic in response to nectar abundance (Grimmett et al., 2008).
Similarly, the seven significant species contributing to avian community dissimilarities across the DVNP were all resident that tend to be associated with more open, drier habitats: Red-wattled lapwing is associated with open areas adjacent to wetlands in cultivated and forest habitats (Wiersma and Kirwan, 2016); House crow is associated with anthropogenically-altered habitats throughout its range (Snow and Perrins, 1998); Cattle egret is specifically associated with livestock in dry grasslands (Grimmett et al., 2008); Himalayan bulbul is often found in drier valleys (MacKinnon and Phillipps, 2005); and although uncommon, Brahminy starling is also associated with human habitation (MacKinnon and Phillipps, 2005). All seven species were recorded at significantly lower abundance levels in Barmala than at one or both of the other two sites. Barmala is the least disturbed of the sites and, consequently, retains more forested vegetation, compared to the more open, impacted landscapes of Deva and Vatala. This spatial heterogeneity emphasises the importance of representatively surveying the landscape to get a truer reflection of the avian community, while changes in community composition provide quantifiable biodiversity metrics for supporting protected area conversation management (Gamfeldt et al., 2008).
The records of Sociable lapwing in DVNP represent suitability of habitat that is approximately 60km east to the species’ known wintering range (BirdLife International, 2018). While normally arriving at its wintering grounds from September (del Hoyo et al., 1996), five birds were recorded in August, and 1-4 birds were recorded monthly through to March. Based on a maximum monthly count of five birds, a site wintering density of 0.3 birds km2, and assuming equal distribution of birds throughout the Park, DVNP potentially holds a wintering population of 8-9 individuals (± 3.0). While a comparatively small sub-population, this remains an important addition to conservation understanding of this declining, critically endangered species (BirdLife International, 2018), especially since wintering records in Pakistan are occasional (BirdLife International, 2001), and these, and those from north-east India, do not capture the whereabouts of most of the eastern flyway wintering population (Khan et al., 2017). Since hunting remains a key threat along migration routes of Sociable lapwing (Sheldon et al., 2013), the presence of the military in the DVNP could act as a deterrent to any such activities at this site. These records promote the importance of further surveys, guided by remote sensing, to locate other potential wintering grounds in the AJ and K region, especially those indicative of their wintering habitat requirements; dry plains and short grasslands (del Hoyo et al., 1996; BirdLife International, 2001).
DVNP is the only site within AJ and K that Red junglefowl is known to exist (Subhani et al., 2010). Our site and overall densities (0.5 ± 0.12 birds/km2) are substantially less than those calculated in 2012 (Deva = 6.3, Barmala = 8.8 and Vatala = 15.6 birds/km2; Park density = 7.9 birds/km2), even when factoring in one encounter equating to four birds, based on its polygamous behaviour (Subhani et al., 2010). It is not known whether this is a genuine decline in the species population or a reflection of different survey methods used (call counts versus line transects). This requires further investigation due to the geographic importance of this site within the species’ range (Subhani et al., 2010).
This also serves as a validatory point for standardising survey methods to maximise monitoring value. While species-specific methods may be appropriate (Bibby et al., 2000), comparable community assessment and monitoring will benefit from a single, standardised approach. In this case, line transects are already established within the Park. Applying distance sampling to transects (Buckland et al., 2001), rather than a fixed-width approach, will model detectability differences across multiple species, enabling robust single species abundance estimation, while providing an appropriate framework for community composition analysis; we recommend using the analysis framework used in this study (see Clarke, 1993; Clarke and Warwick, 2001). Even in the absence of more advanced abundance and composition analyses, using simple measures of relative abundance (e.g. Awan et al., 2012) as population indices (Gregory et al., 2004), provides a cost-effective management tool (Gamfeldt et al., 2008) for monitoring relative changes in species abundance within the National Park (Robertson and Liley, 1998). These can be utilised alongside conservation actions relating to and informing effective protected area management (Underhill and Gibbons, 2002; Gamfeldt et al., 2008) and community engagement and outreach (Berger et al., 2014).
Habitat degradation in the National Park is caused by a combination of grazing, wood cutting, grass collection, clearance by fire for agricultural land, and quarrying (Anwar et al., 2015). There is evidence to suggest that anthropogenic use of natural resources is increasing within the core zone, specifically for fuel wood and livestock grazing (Akrim et al., 2015), with livestock, e.g. goats, cows, moved into DVNP for grazing in the winter months (Anwar et al., 2015). Local hunters and egg collectors also utilise the DVNP, e.g. for Red junglefowl (Akrim et al., 2015) and Indian peafowl (Anwar et al., 2015). Hunting pressure may also impact Sociable lapwing, as elsewhere in its wintering range in Pakistan (Khan et al., 2017), although military presence may help reduce any potential threat. Quarrying is also reported and known to impact Indian peafowl in the landscape (Anwar et al., 2016). The Vatala range is easily accessible to local communities, while the deterrent of military presence in the Deva range, and proximity to the line of control, affords a degree of biodiversity and landscape protection (Anwar et al., 2016). This may also serve to help minimise impacts in the core zone and maintain an important ecotone of sub-montane forest and agricultural plains. Increasing awareness-raising and public engagement in local communities (Berger et al., 2014) and enforcing wildlife law are required to reduce anthropogenic impacts and support long-term conservation targets within the Park. Particular focus on the accessible Vatala range and localities where Sociable lapwing are recorded would potentially provide greatest conservation benefits.
Acknowledgements
We thank the staff of the AJ and K Forest Department for helping organise the fieldwork and collection of field data. We are grateful to Mr Abdul Razaq (Lecturer in Zoology) for his support and guidance in data collection, and MPhil Scholars and staff in the Department of Zoology, University of Gujrat for their support in collecting field data.
Statement of conflict of interest
The authors have declared no conflict of interest.
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