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NESTING TREE PREFERENCE OF MALABAR PIED HORNBILL (ANTHRACOCEROS CORONATUS) IN PILLUR VALLEY, WESTERN GHATS, SOUTHERN INDIA
Prabakaran Girikaran1, Arockianathan Samson1*, Balasundaram Ramakrishnan1, Subramanian Ramasubramanian2
1 Government Arts College, India 2Tamil Nadu Forest Department, India *e-mail: [email protected]
Received: 16.01.2019. Revised: 29.06.2019. Accepted: 16.07.2019.
The Malabar Pied Hornbill (MPH) (Anthracoceros coronatus) is a Near Threatened taxon. This species is endemic to the low elevation moist forests of Western Ghats, a few locations in central India, Eastern Ghats and Sri Lanka. The present study, from November 2017 to March 2018, was aimed to understand the nesting tree preference of A. coronatus in the Pillur Valley, Western Ghats, Tamil Nadu, and Southern India. A total of five tree species were identified as nesting tree preference by the MPH in the Pillur Valley, Western Ghats. Four of these five tree species were identified as belonging to the hard wood category. The nesting tree Madhuca longifolia counted six nests (n = 6) in five nesting trees (n = 5). Overall seventeen nest site characters were calculated in order to understand the nesting tree preference of the MPH. The location of nests on the nesting trees shows that 55% of the nests were located on the primary branch. The location of the nest direction shows that most of the nests (n = 7) were located on the north east direction. The overall nest cavity length and width shows 31.38 cm and 18.06 cm respectively. The shape of the nest cavity shows that most of them, 70%, have got an oval shape and 30% of the nests were having a round shape, irrespectively of the nesting trees. The potential nest tree and nest cavity availability in the 0.025 km2 study plots show that the overall availability of tree GBH > 250 cm was 9.43 per 0.01 km2 (23.57 trees) and the availability of nest holes 4.57 per 0.01 km2 in 13 tree species.
Key words: cavity nester, Coimbatore, frugivorous, secondary cavity-nester, Tamil Nadu
Introduction
Hornbills are generally frugivorous, arboreal, and secondary cavity-nesters (Kemp, 1970; Leighton & Leighton, 1983). They have always been considered important agents of seed dispersal in tropical forests (Leighton & Leighton, 1983; Poonswad et al., 1983; Kemp, 1995; Kin-naird, 1998). Their vulnerability is mainly because of a loss of primary forest habitats due to various practices such as deforestation, habitat alteration, raising of plantations, agriculture, shifting cultivation and logging of old growth trees (Kemp & Kemp, 1972; Leighton & Leighton, 1983; Kannan & James, 1997; Mudappa & Kannan, 1997; Datta & Rawat, 2004; Bachan, 2006). Historically, hornbills have also been subjected to hunting all over their range in Asia, contributing to their vulnerability (Bennett et al., 1997). Hornbills are a group of peculiar, large-bodied birds found only in the Old World tropics that have been the focus of much conservation attention. Of the 54 species of hornbills known in the world (Kemp, 1995), nine species of horn-
bills occur in India, four in south India: Great Hornbill (Buceros bicornis Linnaeus, 1758), Malabar Pied Hornbill (Anthracoceros coronatus (Boddaert, 1783)), Indian Grey Hornbill (Ocyceros birostris (Scopoli, 1786)), and Malabar Grey Hornbill (Ocyceros griseus (Latham, 1790)). The Malabar Pied Hornbill is a Near Threatened taxon (Collar et al., 1994; BirdLife International, 2016). This species is endemic to the low elevation moist forests of Western Ghats, a few locations in central India, Eastern Ghats and Sri Lanka (Ali & Ripley, 1987). Datta & Rawat (2004) lists this species among the four most threatened or rare hornbill species in India. Habitat loss due to shifting cultivation logging, and traditional hunting by tribes has been reported as important threats to hornbills in India in the northeast and the Western Ghats (Kannan & James, 1997; Datta, 1998; Raman, 2001).
Past research on hornbills in India has addressed many aspects of the hornbill biology such as breeding, nest selection, and diet (Reddy, 1988; Kannan, 1994; Kannan & James,
1997; Mudappa & Kannan, 1997; Raman, 2001; Balasubramanian et al., 2004; Datta & Rawat 2004; Mudappa & Raman, 2009). Less information is available on distribution and abundance patterns of hornbills, particularly in the face of large scale landscape transformations and continuing fragmentation and disturbance (Reddy et al., 1990; Datta, 1998; O'Brien et al., 1998; Raman & Mudappa, 2003). A recent survey by Balasubramanian et al. (2004) recorded hornbill distribution at a number of sites in Kerala, Tamil Nadu, Karnataka, and Goa in the Western Ghats as well as in some parts of the Eastern Ghats. This survey found the Malabar Grey Hornbill to be the most frequently observed species and reported vegetation types in which each species occurred in the region.
The present study was aimed to understand the nesting tree preference of A. coronatus in the Pillur Valley, Western Ghats, Tamil Nadu, Southern India.
Material and Methods
Study area
The Western Ghats, a discontinuous chain of mountains located on the western side of peninsular India is approximately 1600 km long (North-South direction) extending from the
River Tapti valley in Gujarat to Kanyakumari in Tamil Nadu. The present study was conducted in the Pillur Valley, situated in the Coimbatore forest division of the Western Ghats in Tamil Nadu. The study area lies between 10.617°N and 11.517°N and 76.617°E and 77.083°E (Fig.). The altitude ranges from 0 m to 700 m and the area receives rain from the northeast monsoon. The annual average rainfall ranges from 1000 mm to 1400 mm. Pillur is contiguous with the Kerala forests in the west and Coonoor slopes in the Nilgiri massif in the north. The forests in the area are unique and they exhibit a wide variety of floral diversity in different altitudinal and geographical zones. The major vegetation types of thePillur Valley are broadly classified into 1) dry deciduous scrub jungles; 2) riparian forests, and 3) the Phoenix savannah. The study site is rich in wildlife, including large mammalian herbivores such as elephant Elephas maximus and gaur Bos gaurus. Eighty-seven species of birds have been recorded in the riverine forests (Balasubramanian et al., 1998). Land along the River Bhavani is heavily settled with about ten settlements in the Pillur valley. «Irulars» are the predominant tribal inhabitants. They mainly depend on forests and forest products for their income, though some also practice agriculture.
Nesting tree survey
For surveying the cavity-nesting trees of the MPH, the riparian habitats of the Pillur Valley were thoroughly searched on tall trees with binoculars. This survey was performed in the breeding season (November 2017 to April 2018) (Balasubramanian et al., 2004). Most of the nest trees were located through intensive searches in the area by inspecting potential nest trees with cavities. The presence of seedlings of hornbill food plants and middens (piles and regurgitated seeds and faecal matter) below trees with cavities also provide indirect evidence of the use as nest trees. The MPH nesting trees were marked with GPS coordinates and classified with identification. The quantification of nesting habitats followed methods suggested by James & Shugart (1970) and subsequently by Kan-nan (1994) and Mudapa & Kannan (1997). The vegetation and nest tree parameters were quantified in circular plots of 15 m (700 m2) with the nest tree in the centre. The nest tree species was noted. All the trees (GBH > 25 cm) were enumerated and the GBH (Girth at Brest Height) measured. The canopy cover was visually estimated. The elevation of the nesting tree, distance to the nearest road, and habitation were also noted. The nest tree parameters measured or estimated were nest tree species, tree height, basal area, diameter at breast height, number of primary branches and secondary branches (I: 5-10, II: 10-20, III: 20-30), canopy cover, canopy height, canopy width, number of used cavities and tree status , i.e. dead or alive.
Parameters such as tree density canopy cover were also quantified in similar sized plots located 100 m in a random direction from the nest tree. The nearest tree of GBH > 250 cm was chosen as the centre tree. And the same nest tree parameters were taken into account for comparison of random (non nest) plots with nest tree plots to determine parameters likely to affects the choice of nesting habitat by the MPH.
Malabar Pied Hornbill nest cavity survey
Once we identified the MPH nesting trees we monitored the usage of the nesting cavity by each MPH pair. We took into account the nest cavity variables for the consideration of nesting trees by the MPH according to Gomez (2014). These are 1) vertical and horizontal diameter of entrance hole, 2) shape of the entrance hole (round, oval or other), 3) aspect of the entrance hole (the direction of the entrance hole), 4) height of the cavity entrance above ground measured from the lower lip of the
cavity to the base of the tree, 5) bird-excavated or natural decay cavity, 6) fresh / old cavity, 7) location of the cavity in trees (trunk / primary branch / secondary branch / tertiary branch), 8) tree DCH (tree diameter at cavity height) measured at the bottom of the cavity opening, 9) cavity to branch start distance, cavity to branch end distance.
Potential nest tree species and availability
The availability and density of potential nest tree species was assessed from ten 0.25 ha (50 m x 50 m) vegetation plots (0.025 km2). In these plots, all trees were scanned for the presence of cavities or any possible signs of being used as a nest tree.
Statistical treatment
Mean (M) and standard error (SE) were calculated for each nest site variable. Pearson's correlation coefficient matrix was performed to understand the variable significances among the nesting trees. Paired samples t-tests were used to determine differences among the 13 parameters between nest (n = 10) and non-nest (n = 10) plots. The Principal Component Analysis was used to understand the nest site selection. Statistical analyses were performed with Graph Pad Prism 5 & SPSS 17.0 statistical computer software.
Results
A total of five tree species, from five families, were identified as nesting tree preference by the MPH in the Pillur Valley, Western Ghats. Four of these five tree species were identified as belonging to the hardwood category, except Dysoxylum binectariferum (Roxb.) Hook. f. ex Bedd. Among the five nesting trees, Madhuca longifolia (J. Koe-nig ex L.) J.F. Macbr. counted the highest number of nests (n = 6), found in five trees (n = 5), followed by Spondias pinnata (L. f.) Kurz (n = 2). Terminalia bellirica (Gaertn.) Roxb., Syzygium cumini (L.) Skeels and Dysoxylum binectariferum (Roxb.) Hook. f. ex Bedd. have been recorded each one time. A total of 17 variables were distinguished from the nesting trees for analysing the nesting preference of the MPH in the study area (Table 1).
Fifteen variables of nest trees at the nest site and fifteen variables of the centre tree at non-nest sites were measured and are given below (Table 2). Nest trees differed significantly in terms of size from centre trees of non-nest plots. The height of the tree, branch end, branch start and branch end distances, height of the first branch, canopy length, nest holes availability and distance to human habi-
tation were all significantly larger in nest trees than in non-nest centre trees (Table 2). But there was no significant difference in basal area, girt at breast height, branch start, primary branches, canopy width, canopy cover, elevation and distances to road between nest plot and centre trees of non-nest plots. However, there was a significant difference
in large tree density (GBH > 276-325 and 325 cm) between the nest and non-nest plots (Table 2).
The Principal component analysis (PCA) was carried out using the nest site characteristics data from all the observed nests (n = 10). Table 3 shows the Pearson's correlation matrix between the 17 variables.
Table 1. Nesting tree characteristics preferred by Malabar Pied Hornbill for nest construction in Pillur Valley, Western Ghats, India
Nest site variables Madhuca longifolia (n = 5) Spondias pinnata (n = 2) Dysoxylum binectariferum (n = 1) Syzygium cumini (n = 1) Terminalia bellirica (n = 1) Average (n = 10)
Height (m) 26.4 26 32 27 28 27.88 ± 1.25
Basal area (cm) 487.6 619 389 413 782 538.12 ± 72.95
DBH (cm) 348.4 479 357 265 592 408.28 ± 57.24
Branch start (m) 12.6 9 18 11 14 12.92 ± 1.51
Branch end (m) 25.2 25 31 26 27 26.84 ± 1.09
Primary branch (m) 7.2 6 3 3 9 5.64 ± 1.17
Secondary branch (m) II III I I II II
Branch start to branch end distance (m) 12.8 16 13 15 13 13.96 ± 0.64
Canopy cover 32% 65% 50% 20% 60% 45% ± 8.49%
Canopy length (m) 11.8 16.5 13 20 13 14.86 ± 1.50
Canopy width (m) 20 20 20 17 26 20.6 ± 1.46
Distance to human habitation (km) 4.51 4.04 4.65 4.64 5.71 4.38 ± 0.17
Distance to road (km) 0.38 0.13 0.09 0.06 0.26 0.23 ± 0.06
Elevation (m) 447.8 449 447 449 371 438.12 ± 9.59
Ground to nest height (m) 14.8 14 16 13 17 14.96 ± 0.70
Branch start to nest height (m) 3.4 5 5 5 3 4.28 ± 0.44
Branch end to nest height (m) 10.8 14 11 19 10 12.96 ± 1.65
Tree diameter at cavity height (m) 178.6 311 125 214 347 235.12 ± 41.25
Table 2. Characteristics of nest-site and non-nest site plots of MPH in Pillur Valley, Western Ghats, Southern India
Variables Nest plot (n = 10) Non-nest plot (n=10) t p < 0.05
Nest / centre tree height (m) 27.88 ± 1.25 25 ± 0.44 2.74 0.02*
Nest / centre tree basal area (cm) 538.12 ± 72.95 490 ± 6.89 0.68 0.51
Nest / centre tree girth at breast height (cm) 408.28 ± 57.24 398.1 ± 6.25 0.85 0.42
Nest / centre tree branch start (m) 12.92 ± 1.51 11.5 ± 0.30 1.49 0.17
Nest / centre tree branch end (m) 26.84 ± 1.09 23.6 ± 0.45 3.05 0.01*
Nest / centre tree branch start and branch end distance (m) 13.96 ± 0.64 10.8 ± 0.77 3.21 0.01*
Nest / centre tree primary branches 5.64 ± 1.17 5.6 ± 0.45 1.18 0.27
Nest / centre tree canopy length (m) 14.79 ± 0.65 21.2 ± 1.07 2.49 0.03*
Nest / centre tree canopy width (m) 13.5 ± 0.88 20.9 ± 0.98 0.27 0.79
Nest / centre tree canopy cover (%) 45 ± 8.49 40 ± 2.10 0.09 0.93
Nest / centre tree nest holes availability 2.4 ± 0.42 0.5 ± 0.16 3.767 0.00*
Nest / centre tree distance to human habitation (km) 4.38 ± 0.17 4.93 ± 0.18 6.72 0.00*
Nest / centre tree distance to road (km) 0.23 ± 0.06 0.32 ± 0.09 0.78 0.46
Nest / centre tree elevation (m) 438.12 ± 9.59 441.12 ± 7.20 1.17 0.28
Tree density / 0.01 km2
i) Trees of GBH > 25 cm 18.67 ± 1.12 37 ± 4.18 6.118 0.124
ii) Trees of GBH > 26-75 cm 4 ± 0.87 6 ± 2.02 -1.794 0.187
iii) Trees of GBH > 76-125 cm 2 ± 0.58 5.2 ± 1.53 -3.187 0.357
iv) Trees of GBH > 126-175 cm 1.2 ± 0.37 5.4 ± 1.21 -3.121 0.112
v) Trees of GBH > 176-225 cm 2 ± 0.37 6.3 ± 1.83 2.657 0.132
vi) Trees of GBH > 226-275 cm 1.45 ± 0.29 3.4 ± 1.59 -1.759 0.149
vii) Trees of GBH > 276-325 cm 2.5 ± 0.35 2.4 ± 0.60 1.876 0.007*
viii) Trees of GBH > 325 cm 1.87 ± 0.45 1.6 ± 0.81 1.177 0.005*
Note: *Parameters that was significantly different between nest and non-nest plot.
Table 3. Pearson's correlation coefficient matrix between nesting tree variables, by Malabar Pied Hornbill in Pillur Valley Western Ghats, India
Variables NTH BA GBH BS BE PB BSBED CC CL CW GNH BSNH BENH TGCH DHH DR ELEV
NTH 1.00
BA -0.25 1.00
GBH 0.00 0.95* 1.00
BS 0.82* -0.25 -0.03 1.00
BE 0.97* -0.34 -0.08 0.92* 1.00
PB -0.47** 0.87* 0.79* -0.19 -0.44 1.00
BSBED -0.31 0.01 -0.08 -0.79 -0.48** -0.29 1.00
CC 0.24 0.67* 0.85* 0.06 0.15 0.45* 0.10 1.00
CL -0.14 -0.24 -0.40 -0.59 -0.31 -0.54 0.81* -0.36 1.00
CW 0.12 0.86* 0.91* 0.27 0.11 0.81* -0.47** 0.66* -0.60** 1.00
GNH 0.48* 0.50* 0.67* 0.70* 0.54* 0.52* -0.74** 0.56* -0.79** 0.87* 1.00
BSNH 0.33 -0.63** -0.53** -0.12 0.24 -0.88** 0.65* -0.10 0.64* -0.75** -0.61** 1.00
BENH -0.21 -0.41 -0.58** -0.56 -0.33 -0.61** 0.73* -0.56** 0.97* -0.74** -0.88** 0.64* 1.00
TGCH -0.37 0.92* 0.80* -0.54 -0.52 0.68* 0.37 0.56* 0.15 0.61* 0.16 -0.36 -0.03 1.00
DHH 0.27 0.54* 0.52* 0.43 0.25 0.49* -0.59** 0.12 -0.31 0.77* 0.72* -0.69** -0.39 0.36 1.00
DR -0.54** 0.39 0.31 0.00 -0.38 0.79* -0.58** 0.01 -0.72** 0.47* 0.38 -0.88** -0.64** 0.13 0.27 1.00
ELEV -0.12 -0.83** -0.81** -0.19 -0.06 -0.70** 0.37 -0.45** 0.31 -0.92** -0.73** 0.71* 0.46 -0.67** -0.91** -0.31 1.00
Note: * - positive correlation in p < 0.05 between the variables; ** - negative correlation p < 0.05 between the variables. Parameters: NTH - nest tree height, BA - basal area, GBH - girth brest height, BS - branch start, BE - branch end, PB - primary branch, BSBED - branch start and branch end distance, CC - canopy cover, CL - canopy length, CW - canopy width, GNH - ground to nest height, BSNH - branch start nest height, BENH - branch end nest height, TGCH - tree girth at cavity height, DHH - distance to human habitation, DR - distance to road, ELEV - elevation.
The Principal Component Analysis (PCA) extracted four principal components that elucidated 100% variability (Table 4). The first component (PC1) explained 49.71% variability which gives details of nine nest tree variables: tree height, basal area, girth at breast height (GBH), branch start and branch end distance, canopy cover, canopy width, ground to nest height, tree diameter at cavity height, distance to human habitation and distance to road in the plot and those were positively correlated with the first component. High values on the first component correspond to the large girth of nest trees, tallness of nest trees, branch start and branch end distance and ground to nest height, tree diameter to cavity height. Thus, the first component indicated (with increasing values) that the size of the nest tree and tallness will also increase. The first component was also positively correlated with the distance to road variable, which indicates (with increasing values) a larger distance to a road and habitation. The second component (PC2) explained 27.29% variability by four nest tree variables: basal area, branch start and branch end distance, primary branch, tree diameter at cavity height (Table 4). High values on the second component correspond to the basal area, branch start and branch end distance, primary branch, tree diameter at cavity height. Thus, the second component also
represents (with increasing values) the size of the nest tree and basal area and branch structure of the tree. The third component (PC3) explained 15.09% of the total variance and was related to nest tree height, tree density and distance to the road side. The fourth component (PC4) explained 7.92% of the total variance and was related to the canopy cover of nesting trees (Table 4).
Cavity orientation of nest trees did not differ significantly from random (Rayleigh test, r = 0.4685, p < 0.05, n = 11). The location of the nest hole in the trees showed that 55% of the nests were located in the primary branch followed by 27% of nests located on the secondary branches and 18% of the nests positioned in the main trunk of the trees. The nest direction in the trees showed that most of the nests (n = 7) were located on the north east direction, followed by south west (n = 2) and north west (n = 1). It should be noted that none of the nests was found in the southeast direction. The overall nest cavity length and width amounts 31.38 cm and 18.06 cm respectively. But it differed between tree species. The length in Spondias pinnata was 37.5 cm, and the width in Dysoxylum binecta-riferum 21 cm. The study of the nest cavity shape showed that most of the nests (70%) had anoval shape and 30% of the observed nests had a round shape, irrespectively of the nesting tree species.
Table 4. Summary statistics of Principal Component Analysis
Variables Communality PC1 PC2 PC3 PC4
r c r c r c r c
Height 0.97 0.45* 0.01 -0.83 -0.18 0.56* 0.22 -0.04 -0.03
Basal area 0.98 0.80* 0.09 0.54* 0.12 0.27 0.10 -0.01 -0.01
GBH 1.00 0.85* 0.10 0.31 0.07 0.39 0.15 0.17 0.13
Branch start 0.98 0.31 0.04 -0.95 -0.20 0.03 0.01 -0.07 -0.05
Branch end 0.99 0.08 0.01 -0.93 -0.20 0.35 0.14 0.01 0.00
Branch start and branch end distance 1.00 0.85* 0.10 0.46* 0.10 -0.23 -0.09 0.06 0.05
Primary branch 0.97 -0.58 -0.07 0.64* 0.14 0.46* 0.18 0.18 0.13
Canopy cover 0.86 0.58* 0.07 0.11 0.02 0.57* 0.22 0.57* 0.42
Canopy length 0.87 -0.72 -0.09 0.42 0.09 0.40 0.15 -0.38 -0.28
Canopy width 0.96 0.98* 0.12 0.04 0.01 0.19 0.07 -0.05 -0.03
Ground to nest height 0.99 0.88* 0.10 -0.45 -0.10 0.13 0.05 0.04 0.03
Branch start to nest height 0.95 -0.84 -0.10 -0.15 -0.03 0.47* 0.18 0.23 0.17
Branch end to nest height 0.89 -0.82 -0.10 0.36 0.08 0.19 0.08 -0.40 -0.30
Tree diameter at cavity height 0.96 0.50* 0.06 0.76* 0.16 0.41 0.16 -0.09 -0.07
Distance to human habitation 0.99 0.74* 0.09 -0.17 -0.04 0.12 0.05 -0.64 -0.47
Distance to road 0.97 0.62* 0.07 0.17 0.04 -0.75 -0.30 0.11 0.08
Elevation 0.97 -0.87 -0.10 -0.12 -0.03 -0.27 -0.11 0.40 0.30
Eigen value 8.46 4.64 2.56 1.35
% variance explained 49.75 27.29 15.04 7.92
Note: Correlation significant at p < 0.05; r - Pearson's correlation coefficient, c - factor score coefficient.
A total of 13 potential nest tree species of the MPH occurring at the study area was identified. These trees generally attain a large size (Table 5). Of these, only five species, Madhuca longifolia, Terminalia bellirica, Dysoxylum binectariferum, Spondias pinnata, and Syzygium cumini were used for nesting by the MPH. Four species are hardwood trees but tends to rot easily. All of these trees were emergent, large girth trees and are relatively more common than other species. In fact, Madhu-ca longifolia was the most common tree species. The overall occurrence of Madhuca longifolia was 2.69 trees per 0.01 km2 for trees of GBH > 250 cm, recorded in the ten 2500 m2 plots during the
study period (Table 5). The density of large tree (GBH > 250 cm) species Pongamia pinnata (L.) Pierre was 4 per 0.01 km2 on the basis of studying the ten 2500 m2 plots. Terminalia bellirica, Terminalia crenulata Roth., Dysoxylum binectariferum, Ailanthus excelsa Roxb., and Albizia lebbeck (L.) Benth were 1.6 trees per 0.01 km2 recorded in the ten 2500 m2 plots (Table 5). Apart from wood type and tree size, the overall availability of the species was an important factor in the nest tree selection by MPH. In the study plots, the overall availability of trees of GBH > 250 cm was 9.43 per 0.01 km2 (23.57 trees) and the availability of nest holes was 4.57 per 0.01 km2, including 13 species (Table 5).
No Tree species Height (m) Wood Type Overall tree density / 0.01 km2 Tree density / 0.01 km2 (GBH > 250 cm)
1 Manilkara hexandra (Roxb.) Dubard 16-24 HW 2 0.4
2 Terminalia bellirica (Gaertn.) Roxb. 14-27 HW 1.6 0.8
3 Dalbergia sissoo DC. 15-23 HW 1.2 0.4
4 Madhuca longifolia (J.Koenig ex L.) J.F.Macbr 19-28 HW 2.69 2.69
5 Terminalia crenulata Roth. 12-22 HW 1.6 0.8
6 Dysoxylum binectariferum (Roxb.) Hook. f. ex Bedd. 17-34. HW 1.6 0.8
7 Spondias pinnata (L.f.) Kurz. 12-22. HW 2 0.4
8 Syzygium cumini (L.) Skeels 14-25 HW 1.2 0.4
9 Pongamia pinnata (L.) Pierre 7-18. HW 4 0.8
10 Ailanthus excelsa Roxb. 10-19. SW 1.6 0.4
11 Alseodaphne semecarpifolia Nees. 9-18. HW 1.2 0.4
12 Diospyrosperegrina (Gaertn.) Gurke 8-14. HW 0.8 0.4
13 Albizia lebbeck (L.) Benth 11-22. HW 1.6 0.8
Note: HW - hardwood, SW - softwood.
Table 5. Potential nest tree species, tree characteristics and availability of MPH in Pillur Valley, Western Ghats, Southern India
Discussion
Cavities are an important source in forests for numerous birds and mammals which use them for nesting, roosting, and escaping from predators. To a certain scope, the preference of cavities may also depend on the faunal community, particularly in provisions of keep away from interspecific antagonism for nest sites and food (Kalina, 1988; Li & Martin, 1991; Conway & Martin, 1993), predation (Kemp, 1976; Cody, 1985; Martin, 1988), and the occurrence of sufficient foraging habitat (Conner, 1976). The nesting trees of the MPH were observed at a lower altitude (< 450 m) in riverine habitats of the Pillur valley. Reddy et al. (1990) and Balasubrama-nian et al. (2004) stated that the importance of riverine habitats for the conservation of the MPH has been clearly underlined over the years. Mudappa & Raman (2009) recorded the MPH most recurrently at lower altitude (< 600 m) in moist deciduous and riverine areas on the Western Ghats. Balasubrama-nian et al. (2004) observed that the distribution and variation in a number of the MPH in the Athikadavu valley region were strongly governed by the availability of fruit trees, their fruiting season and the availability of suitable roosting habitat.
For the MPH, a total of five nesting trees were identified in the Pillur Valley, namely Madhuca longifolia, Spondias pinnata, Terminalia bellirica, Syzygium cumini, and Dysoxylum binectariferum. Balasubramanian et al. (2004) reported that Madhuca longifolia and Terminalia arjuna (Roxb. ex DC.) Wight & Arn. were utilised as nesting trees by the MPH in the Athikadavu valley in the Western Ghats. Bachan et al. (2011) recorded that MPH nests were observed on Tetrameles nudiflora R. Br. and one on Terminalia bellirica in the Anamalai Hills of Southern Western Ghats, India. Among the five nesting trees in the Pillur Valley, Madhuca longifo-lia was the highest utilised species by the MPH. The significance of single preference of nesting tree species (Tetrameles nudiflora, Palaquium amboinense Burck, Syzygium spp., and Pangium edule Reinw.) was reported in other studies in and outside India (Kinnaird & O'Brien, 1993; Mardiastuti et al., 1996; Marsden & Jones 1997; Chimchome et al., 1998). In the Pillur valley, Madhuca longifolia is the dominant nesting tree for the MPH. This tree species is a hardwood tree, but is susceptible to heart rot that enhances cavity formation.
However, nest-tree and nest cavity factors may be the most important primary factors influencing the nest habitat choice in hornbills (Kannan, 1994). Nests of the Malabar Grey Hornbill were found in open,
tall, evergreen forest along forest trails, edges and interior areas. The data obtained reflect size and age of nest trees and indicate that hornbills prefer mature forest stands. Nesting site variables shows the maximum positively strong correlation between the nesting tree variables of the MPH. MPH's nest structural characteristics such as height of the tree, branch end, branch start and branch end distances height of the first branch, canopy length, nest holes availability and distance to human habitation were significant variables in the Pillur valley. Relatively more nests were found in trees of larger GBH classes, particularly in the 276-325, and >325 cm range. This cannot be taken to indicate the preference of the MPH, because it may simply reflect the higher availability of suitable cavities in larger trees. All eleven nests were in living trees. Mudappa & Kannan (1997) found that a large DBH and greater height of lowest limb were significant parameters in the site assortment of the Malabar Grey Hornbill, though they chose smaller trees than the sympatric Great Hornbill in the Western Ghats (South India). Kannan (1994) found that structural characteristics (e.g. large size and maturity of forest around the nest trees) were important in nest site selection by the Great Hornbill in the Western Ghats, where thirteen tree species were used for nesting.
The nests of the Malabar Grey Hornbill were located at substantial heights in evergreen forest trees. The height at which the nest is located may simply reflect the fact that nest cavities are formed more frequently in the higher reaches of the tree. Kemp (1976) reported that the tendency of the hornbill to choose cavities with a small entrance has been observed in Africa. Several hornbills were seen assiduously enlarging the nest cavity entrance by removing overgrown wood tissue and debris. In this study, Kemp (1976) reported about the «funk-holes» type discovered for most hornbills in the African and Oriental regions. The estimation of cavities showed the availability of nest holes of 4.57 per 0.01 km2 (0.025 km2 total sample area), which is an inadequate sample. Mudappa & Kannan (1997) recorded a relatively high density of ten cavities per 0.01 km2 for the Malabar Grey Hornbill in Annamalai areas of Western Ghats region. The MPH showed a slight preference for some nest site characteristics other than tree species. There were height and size of trees, and their commonness in the habitat. These trees were represented by durable hardwood ones. Poonswad (1993) noted that this is probably because of such trees last longer. And once cavities are formed, they can be used by hornbills for a long time, given the durability of the trees.
Conclusions
The current study provides some baseline information of the MPH in the Pillur Valley, which will help to prepare a management plan for the MPH conservation. The tree Madhuca longifolia contains the highest number of MPH nests. This tree species has flowers, seeds and bark of highly medicinal value being used by tribal people for various diseases. Therefore, the utilisation of this tree species in the MPH nesting zones will need more protection. Most of the nesting trees are located nearer to human habitation and agricultural lands. The extension of agricultural activities in the riverine forests disturbs breeding sites. All hornbill nests were located in trees, which are tall, with a large girth and located in a riverine habitat. Therefore, we recommend the protection and conservation of nest trees and the entire lowland riverine habitats in the Pillur valley. Conducting systematic surveys to locate nests of the hornbills, regular monitoring and protection of the nest sites (trees) are necessary. We also recommend the creation of awareness among forest staff and local people. Further conducting of long-term studies on the breeding biology of the MPH in Pillur valley is required.
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ПРЕДПОЧТЕНИЯ ИНДИЙСКОЙ ПТИЦЫ-НОСОРОГА (ANTHRACOCEROS CORONATUS) В ВЫБОРЕ ДЕРЕВЬЕВ ДЛЯ ГНЕЗДОВАНИЯ В ДОЛИНЕ ПИЛУР, ЗАПАДНЫЕ ГАТЫ, ЮЖНАЯ ИНДИЯ
П. Гирикаран1, А. Самсон1*, Б. Рамакришнан1, С. Рамасубраманиан2
1 Правительственный колледж искусств, Индия 2Лесной отдел штата Тамилнад, Индия *e-mail: [email protected]
Индийская птица-носорог (Anthracoceros coronatus) является видом, близким к угрожаемому состоянию. Этот вид является эндемиком для низинных влажных лесов Западных Гат, нескольких участков в Центральной Индии, Восточных Гатах и Шри-Ланке. Целью настоящего исследования было изучение предпочтений A. coronatus в выборе деревьев для гнездования в долине Пилур в Западных Гатах (штат Тамилнад, Южная Индия) с ноября 2017 г. по март 2018 г. В результате было определено пять деревьев, выбираемых индийской птицей-носорогом для гнездования на территории исследования. Большинство из деревьев для гнездования относились к лиственным деревьям. Среди всех определенных нами видов деревьев Madhuca longifolia включала наибольше число гнезд (n = 6), а также была представлена наибольшим числом деревьев (n = 5), выбранных для гнездования. Всего было рассчитано 17 показателей гнездовых участков, чтобы понять предпочтения индийской птицы-носорога в выборе дерева для гнездования. Изучение положения гнезд на каждом из деревьев, выбранных для гнездования A. coronatus, показало, что 55% гнезд располагалось на ветвях первого порядка. Изучение положение гнезда по отношению к сторонам света на каждом дереве показало, что большинство гнезд (n = 7) было расположено на северо-восточной стороне. Общая длина и ширина полости гнезда составили 31.38 см и 18.06 см соответственно. Форма полости гнезда показывает, что большинство из них (70%) имеет овальную форму и 30% гнезд наблюдались в виде круглой формы независимо от вида дерева, выбранного для гнездования. Потенциальная доступность дерева для гнездования и полости гнезда на территории исследования показывает, что для исследуемых участков, охватывающих площадь 0.025 км2, общая доступность деревьев для гнездования GBH > 250 см составила 9.43 на 0.01 км2 (23.57 деревьев) и наличие гнезд составило 4.57 на 0.01 км2, включая 13 видов.
Ключевые слова: вторичный дуплогнездник, дуплогнездник, Коимбатур, плодоядный, птица-носорог, Тамилнад
