Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Photographic Capture-Recapture Sampling for Assessing Populations of the Indian Gliding Lizard Draco dussumieri

  • Rachakonda Sreekar ,

    sreekar1988@gmail.com

    Affiliations Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China, Agumbe Rainforest Research Station, Agumbe, Karnataka, India, University of the Chinese Academy of Sciences, Beijing, China

  • Chetana B. Purushotham,

    Affiliations Agumbe Rainforest Research Station, Agumbe, Karnataka, India, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India

  • Katya Saini,

    Affiliations Agumbe Rainforest Research Station, Agumbe, Karnataka, India, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, Karnataka, India

  • Shyam N. Rao,

    Affiliations Agumbe Rainforest Research Station, Agumbe, Karnataka, India, Colorado State University, Fort Collins, Colorado, United States of America

  • Simon Pelletier,

    Affiliation Agumbe Rainforest Research Station, Agumbe, Karnataka, India

  • Saniya Chaplod

    Affiliation Agumbe Rainforest Research Station, Agumbe, Karnataka, India

Photographic Capture-Recapture Sampling for Assessing Populations of the Indian Gliding Lizard Draco dussumieri

  • Rachakonda Sreekar, 
  • Chetana B. Purushotham, 
  • Katya Saini, 
  • Shyam N. Rao, 
  • Simon Pelletier, 
  • Saniya Chaplod
PLOS
x

Abstract

The usage of invasive tagging methods to assess lizard populations has often been criticised, due to the potential negative effects of marking, which possibly cause increased mortality or altered behaviour. The development of safe, less invasive techniques is essential for improved ecological study and conservation of lizard populations. In this study, we describe a photographic capture-recapture (CR) technique for estimating Draco dussumieri (Agamidae) populations. We used photographs of the ventral surface of the patagium to identify individuals. To establish that the naturally occurring blotches remained constant through time, we compared capture and recapture photographs of 45 pen-marked individuals after a 30 day interval. No changes in blotches were observed and individual lizards could be identified with 100% accuracy. The population density of D. dussumieri in a two hectare areca-nut plantation was estimated using the CR technique with ten sampling occasions over a ten day period. The resulting recapture histories for 24 individuals were analysed using population models in the program CAPTURE. All models indicated that nearly all individuals were captured. The estimated probability for capturing D. dussumieri on at least one occasion was 0.92 and the estimated population density was 13±1.65 lizards/ha. Our results demonstrate the potential for applying CR to population studies in gliding lizards (Draco spp.) and other species with distinctive markings.

Introduction

The ability to recognize individual animals is vital for many wildlife monitoring programmes and behavioural studies [1]. However, marking techniques that alter an animal’s survival probability or other life-history traits violate assumptions of demographic models [2], [3]. Lizards, especially those in the diverse tropical regions have been the subject of relatively few long-term studies, largely because of the difficulties of marking individuals without damaging them. Toe-clipping is a widely used marking technique that requires the removal of a unique combination of digits from each individual [4], [5]. However, toe clipping may affect mobility, particularly for arboreal species. For instance, the clinging ability of the iguanid Anolis carolinensis decreased significantly after toe-clipping [6]. Similarly, inflammation was reported one month after toe-clipping in 50% of natterjack toads (Bufo calamita) [7]. Yet there are other studies that have reported no effect of toe-clipping in reptiles and amphibians [8]. It is therefore clear that the effects of toe-clipping vary among species and one must carefully test and assess the technique before using it on a large number of individuals [9], [10]. Furthermore, techniques like passive integrated transponders (PIT) [11], tattooing [12] or the bead tagging [13] are not feasible in lizard species with low body mass. The development of a non-invasive technique suitable for assessing populations of small lizards is therefore required.

The photographic capture-recapture (photo-CR) is an easy and inexpensive technique for long-term identification of individuals [14]. Among reptiles it has been used for species with large or medium-sized scales, the shape and size of which are unique to each individual [14]. Scales of most medium to small sized lizards are too small to photograph easily resulting in poor quality photographs, which substantially increase the probability of misclassifying individuals [14], [15]. In a few species of lizards, and some other animals, the ventral surface of the throat and abdomen have blotch-like markings that might be useful for photo-CR, provided these markings can be easily photographed and used to identify individuals reliably.

There are 39 recognised species of gliding lizards (Draco spp.) and several new species awaiting description [16]. Because of the aforementioned difficulties in individual recognition the ecology of only a few species has been studied in depth. Although toe-clipping has been used to study Draco lizards [17], [18], the treatment effects remain unknown but are suspected to reduce survival and alter behaviour. However, several Draco spp. have blotches on the ventral surface of the patagium [16]. Hence, we postulated that photo-CR might offer an opportunity to improve the study of these lizards.

In this study, we first assess the potential and reliability of photo-CR in studying D. dussumieri and subsequently test its practical applicability in estimating population density. Draco dussumieri has natural markings on the ventral surface of its gliding membrane (patagium; Figure 1) [19] that are large enough to be photographed and which might be specific to individuals.

thumbnail
Figure 1. Attributes used to differentiate Draco dussumieri individuals.

Top: females (with short dewlap), below: males (with long dewlap). The number of blotches on the ventral surface of the patagium in females was significantly greater than that of males.

https://doi.org/10.1371/journal.pone.0055935.g001

Materials and Methods

Study Area and Species

The study was conducted in two different privately owned areca-nut (Areca catechu) plantations (0.7 and 2 ha respectively) in Agumbe, central Western Ghats, India (13°50′ N, 75°09′ E; 560 m above sea level) with permission from the plantation owners. Both plantations were used for testing the photo-CR technique, with one plantation surveyed per season over two successive seasons. Density was only estimated for the plantation surveyed in the second season.

Agumbe experiences low temperature variation (26–33°C), high humidity (75%–96%) and high rainfall (7,600 mm) [20], [21], most of which is received during the monsoon season (June-September). Draco dussumieri is a medium-sized agamid (max. snout-vent length = 97 mm) that is endemic to the hills of southern India. This charismatic animal, though common throughout its range [22][24], has been reported only a few times after a series of publications by John between 1962 and 1971 [17], [25]. Since our study area did not fall within a Protected Area, and Draco dussumieri is not mentioned in the Wildlife (Protection) Act (1972) and subsequent amendments [26], we did not require government permits to conduct our study. Our study did not entail collection of individuals and we made all efforts to minimize discomfort to the animal by ensuring careful handling and quick release of each captured individual back onto the tree they were first observed on.

Field Sampling

A team of three conducted the study between April-June in 2010 (first season) and between March-May in 2011 (second season). Lizards were caught by hand after inducing them to glide down from their arboreal perches and to land at the bases of trees or on the ground using long poles [17]. In order to examine whether the blotches on the ventral surface of the patagium remained constant through time, we photographed the patagium and pen-marked 59 individuals dorsally with unique numerical codes using a xylene-free dark-green marker pen. To ensure that all photographs of the same individual were comparable, care was taken while positioning the lizard’s patagium under the camera with minimum body flexing (Figure 1). The area of interest for pattern-matching was below the third rib when counting from the top. Sexes were readily differentiated using the size of dewlap [19], with males possessing distinctively longer dewlaps (Figure 1C, 1D) than females (Figure 1A, 1B). The lizards were then released. After a 30 day interval we recaptured the marked individuals and re-photographed them. Later, we compared the photographs to determine if changes in blotches had occurred between the successive captures.

The density of D. dussumieri in the 2 ha areca-nut plantation was estimated in April 2011. The plantation is surrounded by secondary forest on one side and open habitat on the other three sides. The open habitat is unsuitable for D. dussumieri and the side of the plantation abutting the secondary forest is separated from the forest by a 17 m wide stream. Thus, the site met the assumptions of closure. Twelve parallel 15 m wide transects were delineated within the plantation and three people simultaneously walked each transect ensuring every tree in the plot was thoroughly inspected. All 12 transects were sampled on each sampling occasion and each sampling occasion was defined by a time-constrained (120 min) walk between 0800 and 1100 hrs. Sampling was conducted over a total of ten occasions over a ten day period. When animals were captured, the time taken to capture and process individuals was subtracted from the survey duration. A short survey period of 10 days ensured negligible probability of any mortality or recruitment occurring during the study period.

Individual Identification

We used the Interactive Individual Identification System (I3S Manta) [27] to determine if photo-CR can be used for D. dussumieri. A fingerprint file was built by drawing an ellipse around each blotch on the patagium [28]. The software uses a linear transformation to compare two images, so each image is projected onto two-dimensions, irrespective of the individual’s position while photographing it. When comparing two images, a blotch pair is accepted as a good match if the nearest alternative point of a blotch is at least twice the distance of the current match and the ratio between length and width of both the ellipses are sufficiently similar. I3S Manta computes a distance metric (Euclidean distance) of images as the sum of the distances between matched points divided by the square of the number of pairs. Further, differences in shape (width to length ratio) and size will also affect the distance metric. A low score in the distance indicates a better match. The distances were log10 transformed before analysis to meet the assumptions of normality and homeoscedasticity. We evaluated the effects of the number of blotches to distances using a linear regression after removing the misidentified individuals (outliers) from the data set (Figure 2). Statistical analysis was conducted in the programming and statistical language R 2.13.2 [29].

thumbnail
Figure 2. Variation of Euclidean distances in relation to the number of blotches on the ventral side of the patagium.

Misidentified individuals were excluded from analysis.

https://doi.org/10.1371/journal.pone.0055935.g002

Population Density

Capture histories were developed for each individual D. dussumieri and analysed using CAPTURE, a program developed to provide population estimates for closed population capture-recapture models [30], [31]. The program computes goodness of fit statistics and a model selection criterion for selecting the best model for the data set in hand [30]. Models implemented by CAPTURE include, individual heterogeneity in capture probabilities (h), behavioural response (b), time (t) and combinations thereof. The null model (Mo) assumes no variation in capture probabilities among individuals or occasions. We report the estimates computed by CAPTURE for capture probability, abundance and standard-error for abundance for appropriate models. We then used N/A as a measure of population density, where N is the estimated abundance and A is the sampled area. The area of the areca-nut plantation was estimated with geographic-information-methods (ArcGIS 9.3).

Results

In total, 59 D. dussumieri individuals were caught (males = 31, females = 28). Twenty five individuals were captured in the first season and 34 individuals were captured in the second season.

Photographic Identification Method

We were able to re-capture 45 (76.3%; males = 25; females = 20) marked individuals after a 30-day interval. The Euclidean distance among images decreased with increase in number of blotches on ventral surface of the patagium (R2 = 0.12, df = 39, P = 0.024; Figure 2). Therefore, a larger number of blotches help the Interactive Individual Identification System (I3S Manta) identify individuals more reliably. Females had more blotches in comparison to males (t = 4.02, df = 42, P<0.005), and I3S Manta identified recaptured females with 100% accuracy, whereas males were identified with 88% accuracy. Three individual males were misidentified by I3S Manta when used alone, but we could not detect any visual changes in pigmentation pattern on their patagium by eye. A combination of the software and manual identification increased the accuracy of individual identification to 100%.

Population Density Estimation

There were 74 captures of 24 individuals over the ten sampling occasions (Table 1). The model selection procedure identified the null model (Mo) as the most appropriate model for the study. Heterogeneity model (Mh) had the second highest model selection criterion (Mo = 1.00, Mh = 0.91). As we expected a priori capture probabilities to be heterogeneous across individuals, we report population size estimates computed under both of these models. Moreover, the population size estimator of model Mh is known to be robust to violation of underlying model assumptions [30], [32], [33].

thumbnail
Table 1. Capture rates of different Draco dussumieri individuals in a 2 ha areca-nut plantation at Agumbe, Western Ghats, India.

https://doi.org/10.1371/journal.pone.0055935.t001

Estimated capture probabilities per occasion was 0.30 under model Mo and 0.28 under model Mh. The estimated probability that an individual in the plot was captured on at least one occasion was 1.00 and 0.92 for model Mo and Mh, respectively. In the study site, the abundance estimates under models Mo and Mh were 24±0.84 (95% confidence interval: 24–29) and 26±3.1 (25–42), respectively. Therefore, the estimated density in a two hectare areca-nut plantation in Agumbe was 12±0.42 (12–14.5) lizards ha−1 and 13±1.65 (12.5–21) lizards ha−1 for Mo and Mh model respectively.

Discussion

A population density of 13±1.65 D. dussumieri individuals per hectare in an areca-nut plantation is much higher than the previous estimates of 1.25±0.40 in vanilla plantations [34]. Draco dussumieri prefers forested areas [35], one would therefore expect higher densities in plantations that are proximate to natural habitats. Interestingly, this does not explain the drastic difference in the aforementioned density estimates as both studies have been conducted in plantations adjacent to forests. A more probable explanation lies in the major difference in the altitude of both areas: the vanilla plantation was at an altitude between 900–1000 m and the current study was conducted at an elevation of 560 m. A previous study on the encounter rates of agamid lizards in southern Western Ghats showed a sharp decline in the encounter rates of D. dussumieri with increasing altitude [24]. Some caution is required in comparing our results with those of Venugopal [34] as the studies used different methods to estimate densities, distance sampling and capture-recapture, respectively.

Photo-CR is a relatively non-invasive and widely accepted method for conducting capture-recapture studies over a broad range of species, and potential alternative to toe-clipping in reptiles [14], [15]. Here, we demonstrate for the first time that the individuals of D. dussumieri can be discriminated based on blotches on the ventral surface of their patagium. Moreover, most Draco species have similar black blotches on the ventral surface of the patagium [16], suggesting the potential use of photo-CR for identifying individuals in other Draco species.

We found that the blotches on the ventral surface of the patagium of D. dussumieri did not change (over a 30 day period) and that I3S Manta was effective at providing individual identification in combination with manual identification. We assume that the three cases of misclassification by the software resulted largely from the low number of points (blotches) and other user-based errors. For instance, deviation in pointing out the center of the blotches and reference points, variation in the length and width of the ellipse would cause differences in viewing angle and scaling. Users should be aware of these potential sources of error while pointing out the distinguishing features on the photograph. Strict standardization of the image collection process will reduce misclassification.

In D. dussumieri, there was a large amount of variation in the number of blotches (range: 3–39) across individuals and I3S Manta does not take the number of points (blotches) into consideration while calculating distances. For instance, if two patagium images have ten and thirty blotches respectively, the software may classify them as the same individual if the first ten blotches match without considering the remaining twenty. Another limitation of the software is its ability to illustrate the exact shape of a pattern. The blotches of D. dussumieri are irregular and the ellipse shape used by I3S Manta does not always accurately illustrate the shape of the blotch. Therefore, in order to avoid misidentification due to these limitations, we suggest the user complement the I3S Manta software with a rapid analysis of the most likely matches, which can then be confirmed manually.

The major challenge involved in using photo-CR is the large amount of time needed to digitize individual photographs, which is likely to increase significantly with increasing sample size. Recaptured individuals cannot be readily identified in the field and therefore identification requires photographs and compared with other images in I3S Manta. Though pen marks can be used for short-term studies; in rainforests, they often become unreadable after two weeks or are lost during ecdysis. We captured seven individuals with pen-markings up to three months after marking, indicating that the interval between ecdysis can be as long as three months for an adult D. dussumieri. The blotches on the ventral surface of the patagium remained the same and we expect that they will remain constant after ecdysis, as blotches are strong and permanent meristic colour patterns. The applicability of photo-CR for long term studies can be further confirmed by using toe-clipping or genetic tagging techniques on a small subset of the study population.

Therefore, photo-CR sampling can be used to obtain a range of behavioural, demographic and ecological factors, which are otherwise difficult to acquire due to lack of proper marking techniques suitable for Draco species, and potentially other reptiles with obvious markings.

Acknowledgments

We are grateful to Devcharan Jathanna for guidance during the study, and comments on the draft manuscript. We thank Romulus E. Whitaker, Rhett D. Harrison, Ravi Chellam, V. V. Robin, Akira Mori, Ambika Kamath, Gerry Martin, Siddharth Rao, Lan Qie, Sumaithangi R. Ganesh, Gbadamassi Dossa and two anonymous referees for comments on earlier drafts of the manuscript. We also thank Gowri Shankar, Gautham Ramachandra, Dhiraj Bhaisare, Ajay Giri and colleagues at the Agumbe Rainforest Research Station; as well as Father Jobin, Father John and Father Priyush at the Agumbe Church (Jeeva Jyothi Ashram, Agumbe - Home for Retired Women) for their help and support during the study.

Author Contributions

Conceived and designed the experiments: RS CBP KS. Analyzed the data: RS KS CBP. Wrote the paper: RS CBP KS. Performed the experiments: RS CBP KS SNR SP SC.

References

  1. 1. Lettink M, O’Donnell CFJ, Hoare JM (2011) Accuracy and precision of skink counts from artificial retreats. New Zeal J Ecol 35: 236–246.
  2. 2. Pollock KH, Nichols JD, Brownie C, Hines JE (1990) Statistical inference for capture–recapture experiments. Wildlife Monogr 107: 1–97.
  3. 3. Oosthuizen WC, De Bruyn PJN, Bester MN, Girondot M (2010) Cohort and tag-site specific tag-loss rates in mark-recapture studies: a southern elephant seal cautionary case. Mar Mammal Sci 26: 350–369.
  4. 4. Ferner JW (1979) A Review of Marking Techniques for Amphibians and Reptiles. Herpetological Circulars No. 9. 42 p. Society for the Study of Amphibians and Reptiles, Dept. Zoology (D. Taylor), Miami Univ., Oxford, OH.
  5. 5. Alberts A (2000) West Indian Iguanas: Status Survey and Conservation Action Plan. IUCN, Gland, Switzerland.
  6. 6. Bloch N, Irschick DJ (2004) Toe-clipping dramatically reduces clinging performance in a pad-bearing lizard (Anolis carolinensis). J Herp 39: 288–293.
  7. 7. Golay N, Durrer H (1994) Inflammation due to toe-clipping in natterjack toads (Bufo calamita). Amphibia-Reptilia 15: 81–96.
  8. 8. Phillott AD, McDonald KR, Skerratt LF (2011) Inflammation in digits of unmarked and toe-tipped wild hylids. Wildlife Res 38: 204–207.
  9. 9. Funk WC, Donnelly MA, Lips KR (2005) Alternative views of amphibian toe-clipping. Nature 433: 193.
  10. 10. Perry G, Wallace MC, Perry D, Curzer H, Muhlberger P (2011) Toe clipping of amphibians and reptiles: Science, ethics and the law. J Herpetol 45: 547–555.
  11. 11. Elbin SB, Burger J (1994) Implantable microchips for individual identification in wild and captive populations. Wildlife Soc B 22: 677–683.
  12. 12. Woodbury AM (1948) Marking lizards with an electric tattooing outfit. Copeia 1948: 127–128.
  13. 13. Fisher M, Muth A (1989) A technique for permanently marking lizards. Herp Rev 20: 45–46.
  14. 14. Sacchi R, Scali S, Pellitteri-Rosa D, Pupin F, Gentilli A, et al. (2010) Photographic identification in reptiles: a matter of scales. Amphibia-Reptilia 31: 489–502.
  15. 15. Speed CW, Meekan MG, Bradshaw CJA (2007) Spot the match – wildlife photo-identification using information. Front Zool 4: 2 .
  16. 16. McGuire JA, Dudley R (2011) The biology of gliding in flying lizards (Genus Draco) and their fossil and extant analogs. Integr Comp Biol 51: 983–990.
  17. 17. Mori A, Hikida T (1993) Natural history observations of the flying lizard, Draco volans sumatranus (Agamidae, Squamata) from Sarawak, Malaysia. Raffles B Zool 41: 83–94.
  18. 18. Mori A, Hikida T (1994) Field Observations on the social behaviour of the flying lizard, Draco volans sumatranus, in Borneo. Copeia 1994: 124–130.
  19. 19. John KO (1962) Notes on the bionomics of the flying lizard, Draco dussumieri Dum. & Bib. J Bombay Nat Hist Soc 59: 298–301.
  20. 20. Dahanukar N, Raut R, Bhat A (2004) Distribution, endemism and threat status of freshwater fishes in the Western Ghats of India. J Biogeogr 31: 123–136.
  21. 21. Daniels RJR (1992) Geographical distribution patterns of amphibians in the Western Ghats, India. J Biogeogr 19: 521–529.
  22. 22. Smith MA (1935) The Fauna of British India, Including Ceylon and Burma. Reptilia and Amphibia. Vol. II – Sauria. Taylor and Francis, London.
  23. 23. Daniel JC (2002) The book of Indian reptiles and amphibians. Oxford University Press.
  24. 24. Ishwar NM, Chellam R, Kumar A, Noon BR (2003) The response of agamid lizards to rainforest fragmentation in the Western Ghats, South India. Conservat Soc 1: 269–286.
  25. 25. Jacobs GJ (1983) Bibliography of the agamid genus Draco. Smithsonian Herpetological Information Service No.57.
  26. 26. Anon (1992) The Wildlife (Protection) Act, 1972. Natraj Publishers, India.
  27. 27. den Hartog J, Reijns R (2008) I3S Manta manual version 2.1. URL Available: http://www.reijns.com/i3s/download/I3SM%20v2.1.pdf. Accessed 2012 January 8.
  28. 28. Martin-Smith KM (2011) Photo-identification of individual weedy seadragons Phyllopteryx taeniolatus and its application in estimating population dynamics. J Fish Biol 78: 1757–1768.
  29. 29. R Development Core Team (2011) R: A language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. URL http://www.R-project.org.
  30. 30. Otis DL, Burnham KP, White GC, Anderson DR (1978) Statistical inference from capture data on closed animal populations. Wildlife Monogr 62: 1–135.
  31. 31. Rexstad E, Burnham KP (1991) User’s guide for interactive program CAPTURE. Abundance estimation of closed animal populations. Colorado State University, Fort Collins, Colorado, USA.
  32. 32. Karanth KU, Nichols JD (1998) Estimation of tiger densities in India using photographic captures and recaptures. Ecology 79: 2852–2862.
  33. 33. Karanth KU, Nichols JD, Kumar NS, Hines JE (2006) Assessing tiger population dynamics using photographic capture-recapture sampling. Ecology 87: 2925–2937.
  34. 34. Venugopal PD (2010) Population density estimates of agamid lizards in human-modified habitats of the Western Ghats, India. Herpetol J 20: 69–76.
  35. 35. Honda M, Ota H, Kobayashi M, Nabhitabhata J, Yong HS, et al. (1999) Phylogenetic relationships of the flying lizards, genus Draco (Reptilia, Agamidae). Zool Sci 16: 535–549.