Introduction
The indiscriminate hunting of tigers had greatly reduced their numbers in the country’s forests: from 40,000 at the beginning of the twentieth century, to 4,000 tigers in 1965 (Gee, 1964). The rapid disappearance of tiger populations was noticed first by some hunters, naturalists and foresters (Thapar, 2001). The Divisional Forest Officer of Palamau Division in Bihar carried out the first ever systematic survey in Garu Range of his division in 1934 (Nicholson, 1934). The exercise was repeated in Palamau in 1936 and 1938 (Chaudhuri, 1938). It marked the beginning of the monitoring of tiger populations in India.
Over the next 75 years, 1934 to 2010, the monitoring of tiger populations progressed through three distinct phases of development. The first phase covered the years from 1934 to 1971, and during this phase different field methodologies for counting tigers were tried out in some tiger habitats. Since 1953, monitoring of tiger populations became an annual feature in Kanha. Schaller, during his research study from 1962 to 1964 in a small part of the Park, (Schaller, 1967) identified 11 adult tigers from their facial markings (Panwar, 1979b). S.R. Choudhury developed Co-operation Tiger Census methodolgy in 1972 (Choudhari 1970, 1971, 1972). Mishra applied Stratified Sampling approached to his Track Counts in Palamau for four years (Mishra, 1970, 1971, 1972, 1973).
The next phase, from 1972 to 2004, systematized State and National level monitoring of tiger populations. The first all India tiger census took place in 1972 using ‘Co-operation Tiger Census’ methodology, and the methodology employed by Project Tiger from 1973 to early 1980s (Choudhury, 1970a, 1970b, 1971, 1972a, 1972b, 1979); ‘Pugmark Census Technique’ (Panwar, 1979a), a highly simplified deviant of Co-operation Tiger Census replaced ‘Co-operation Tiger Census’ in mid 1980s and remained in use by Project Tiger till 2004. A new statistical estimation approach using Camera-Trap and Capture-Mark-Recapture model was suggested for monitoring tiger populations (Karanth, 1987, 1988, 1995, 1999, 2003; Karanth et al. 2000, 2002). Refinements in field methodologies were suggested by some (Rishi, 1997, Singh, 1999); analysis of pugmarks using computer software was introduced in West Bengal (Roy, Undated). A group of specialists recommended a judicious mix of both the modified field methods and statistical approaches for use in monitoring tiger populations (Singh, et al, 1997).
The third phase in the development of monitoring techniques started in 2005 by the newly constituted National Tiger Conservation Authority (NTCA). Numerical census of tigers was replaced by Systems Analysis approach using a heirarchical model and statistical estimation techniques for determining the status of tiger populations (Jhala et al. 2005a, 2005b). Other methods using different indices, such as the Pugmark (Digital Image) Analysis technique (Sharma et al, 2001), and the estimation of tiger populations using DNA profiles (Goyal, et al., 2007) are being developed for monitoring tiger populations in India.
The paradigm shift in the approach for monitoring tigers – NTCA’s holistic approach
National Tiger Conservation Authority (NTCA) made a mention of the criticism faced by the pugmark based census methodology and the limitations of the alternative proposal to estimate tiger densities using camera traps as the reason for adopting their new approach.
In this approach NTCA applied a hierarchical model and statistical framework for monitoring tigers and other animals. The entire tiger range in India was converted to 6 Landscape Complexes and used Forest Beats or equivalent areas covering 15-20 sq km of wildlife habitat as the smallest sampling units. The units were categorized in terms of tiger sign abundance classes – high, medium, low and no density class – at Forest Beat sampling unit level and at 100 km2 area resolution level. Population densities for tigers were estimated in 5 – 13 replicates of the size of 100-200 km2 in each of the tiger sign abundance classes. Mark-Recapture sampling method using camera traps was used to find out tiger densities. Extrapolation of densities was carried out at landscape level, followed by conversion of densities/indices into numbers. Computer programs specially designed for the purpose were used for the analysis of the data. (Jhala, Y.V., et al., 2005a, 2005b, 2008).
The results of the holistic approach were declared in 2008. The estimated all India tiger population is reported to be between 1,165 and 1,657, with a mid value of 1,411 tigers in India. For public consumption the mid value is reported as the population of tigers in India. (Jhala, Y.V., et al., 2008).
Reliability of results from current approach for monitoring and conservation of tigers
A. National Level Monitoring:
1) The figure of 1,411 tigers is the arithmetical mid-value of a statistical range with a minimum value of 1,165 and a maximum of 1,657 – a margin of 492 numbers. A large population is in an indeterminate grey area; making the reported status of tigers in India vague.
2) The field data was collected in 2005-2006 over an extended period of time, which does not define a temporal reference point for comparison with later date estimates. Small populations of tigers can disappear in an extended time frame. There was no fixed date(s) common to all places from where the data was collected and the data does not lend itself for comparison with any other data for monitoring the status of tigers in India.
3) The results do not give the structure of tiger populations: the age, sex and breeding status of the tigers; and the methodology is not designed to provide information on juveniles, cubs and transient tigers.
4) The methodology could not generate reliable tiger habitat occupancy maps and other related records.
a. For instance, the map for northern West Bengal shows tiger occupancy in Gorumara National Park that had no record of resident tigers over the past more than five years; and it shows absence of tigers in tiger occupied areas like Mahananda Wildlife Sanctuary and the northern part of Buxa tiger reserve where one was recently photographed.
b. The sampling based statistical estimation of the extent of area under tiger occupation is erroneous for Sunderbans and many other tiger habitats. Therefore, the extrapolation of densities calculated from such erroneous base-line data cannot give accurate information.
B. State Level Monitoring
Estimated Tiger Populations In Some States
STATES MIN MID-VALUE MAX
BIHAR 7 10 13
CHHATISGARH 23 26 28
ORISSA 37 45 53
RAJASTHAN 30 32 35
KERALA 39 46 53
ARUNACHAL 12 14 18
MIZORAM 4 6 8
N. WEST BENGAL 8 10 12
*Source: Status of Tigers, Co-predators & Prey in India. NTCA.
At the State level, too, the results do not help in meaningful understanding of tiger populations:
a. The range of values in small populations is too wide to given any meaning to the status of tigers in the State.
b. So long as the local information places the figure for tigers anywhere within the range – arrived at by a more trusted scientific exercise by an authority no less than NTCA – there is no cause for any alarm even if poachers take a few tigers, as long as their presence or activity is not detected. The advantage goes to the poachers.
C. The Information Generated by the Approach
The conservation of tiger in India starts with the knowledge about some basic aspects. It is evident that even 5 years after the collection of field data the exercise failed to provide the crucial information the report was supposed to have given:
a) How Many Tigers? …Not precisely known at national or state levels!
b) Population Trends? …Cannot be known; structure of the populations is not known!
c) Areas where decreasing & why? …Cannot be known; tiger occupancy maps and records are defective!
d) Status of tiger’s wild prey? …Not yet available.
e) State of tiger habitat? …Not yet available.
f) Spacing & connectivity of Wildlife Populations? …Not yet available.
The Question of Monitoring Tigers for Tiger Conservation
The shift from field methods to statistical models made no improvement in the monitoring of tiger populations and habitats. The process has become tardy, time consuming, heavy on manpower, uneconomic, unverifiable, time warped and hence redundant and unsustainable; the choice is: take it or leave it!
(A). Application of Statistical and System Analysis Models
One has to understand that Statistics is a tool and not an end in itself; and that the statistical models create virtual reality. The reliability of the statistical models used in the systems analysis approach depends on what information is being fed to the model designer. A model is nothing more than “…an abstraction of the true experimental situation, representing all relevant features of reality. When used in population estimation, the model will be constructed in such a way that the unknown quantities are expressed in the terms of known or observed quantities” (Overton, 1971). “The first step to successful Systems Analysis is the careful identification of questions to which the model is to be addressed.” (Overton, 1977). But its acceptability depends on the confidence it can generate in the mind of the user – in this case the wildlife manager.
Systems, especially natural systems, are large and hierarchical, i.e., composed of complexes of systems within systems. There is intractability of very large systems for development of differential equations. “Moreover, the system properties emerge not only from their components but also from their linkages. As the systems become larger and more complex, our ability to predict system behaviour becomes less certain.” (Reed, 1995).
It follows that the enormous diversity of the tiger occupied ecosystems in India poses a formidable challenge for application of a hypothetical hierarchical model developed in one or two landscapes to the entire range of diverse ecosystems. Models for Satpura-Maikal landscape cannot be applied to the mangrove forests of Sunderbans or Terai grasslands, or tropical evergreen and semi-evergreen rain forests, or desert and scrub ecosystems.
Modeling is an art. The research work and refinement of Systems Analysis, and statistical sampling approaches is massive in the U.S.A. The adaptation of models developed in other countries does not obviate the need to develop further experience by working in other biogeographically and ecologically different landscapes. At present even the basic research in the Indian tiger habitats is patchy and inadequate for developing models one can confidently apply in India.
(B). Application of Field Methods in Census and Research Work
One of the two field methods, which the field officers had worked with under Project Tiger, used tiger pugmarks as an index for ascertaining individual tiger’s territorial occupancy; and the other, tiger’s identity for estimating tiger populations in a given area. Over the years the distinction between the two has been mislaid and many people think they are one and the same. A controversy was generated in a review of the field censuses in 1987. (Karanth, 1987, 2003; Day, Undated; Banks Undated).
The review of the data from field censuses (Karanth, 1987)
(a). Growth Rates, Density and Biomass of Tiger Populations
Table – 2
Tiger population over the years
Sites 1972 1979 1984 1989 1993 1995 1997 2001-02
Tiger Reserves 268 711 1,121 1,327 1,366 1,333 1,498 1,576
Outside Tiger Reserves 1,559 2,304 2,884 3,007 2,384 2,010 2,066
Total 1,827 3,015 4.005 4,334 3,750 3,508 3,642
Compilation based on the periodic reports of Project Tiger Directorate, Govt. of India.
1. After analyzing the data from the tiger census figures for 1972 and 1984, and using the information from the research work of some wildlife research scholars in and outside India, the review concluded:
i. Between 1972 and 1984, the census figures show phenomenal growth in tiger numbers over the years in almost all parts of the country. Even relatively poor tiger habitats like Bandipur showed high growth rate of 14%, per annum for over 12 years in succession. The research studies in Nepal and Kanha indicate that the growth rates of tiger populations in excess of 6% were abnormal.
ii. The 1984 census data indicated excessive densities and biomass reached by tigers in Indian tiger reserves. The census figures showed that 6 out of 18 tiger reserves, namely, Corbett, Bandhavgarh, Dudhwa, Sunderbans, Kanha, and Ranthambhore tiger reserves, had tiger densities that ranged between 10.89 and 5.79 km2 per tiger, which exceeded the stipulated range.
The tiger biomass in the above mentioned 6 tiger reserves exceeded 10 kg/ km2 whereas a really superior habitat can only support a tiger biomass of 7 to 10kg/km2. Overall, the tiger biomass in ranged between a low of 2.08 kg/ km2 in the Indravathi tiger reserve and a high of 19.58 kg/ km2 in the Corbett tiger reserve.
2. The experimental evaluation of field methods (Karanth, 1987).
With a hypothesis that the pugmark census method was invalid because it depended on the identification of individual tigers from their foot-prints, an experiment was conducted in a zoo to check for its validity: 33 pugmarks tracings were obtained on 2 different substrates from 4 captive tigers, and 6 wildlife managers, who were claimed to have 4 to 12 years of tiger census experience, were asked to give their census figures.
The participants made 72% statistically significant correct choices in distinguishing the pugmark impressions of left and right, front and hind feet, and of male and female tigers. But the participant with 12 years of tiger census experience declined to identify the tigers. The rest of the 5 participants could not identify a single tiger from the pugmarks, and their figures ranged between 6 and 24.
Based on the above, the Review concluded that the field methodology was unreliable. (Karanth, 1987).
Revisiting the Controversy
(1) Basic premises used for the experiment for validity of Field Censuses
Certain premises made in the text of the review were not based on literature research. Some of these erroneous statements in the review related to the field method developed by S. R. Choudhury which was used in the 1972 and 1979 tiger censuses in India:
(a) S.R. Choudhury had argued that every tiger could be individually identified from its pugmarks.
Facts in literature: S. R. Choudhury had cautioned against identifying tigers from their pugmarks. (Choudhury, 1972a). His used Co-operation Census Technique and not the pugmark census technique.
(b) The investigator asserted there was no validation carried out of the field method.
Facts in literature: The literature shows that the Co-operation Census Technique was validated by S.R. CHOUDHURY by carrying out field trials in tiger habitats in Orissa and Uttar Pradesh, and control trials in Delhi Zoo and Nandankanan Biological Park in 1970 and 1971; (Choudhury, 1970b, 1971).
(c) The investigator treated two different methods as one and the same ‘Pugmark Technique’:
Facts in literature: S.R. Choudhury’s Co-operation Tiger Census method (Choudhury, 1970a, 1970b. 1971, 1972a, 1979b) and Pugmark method (Panwar, 1979a) were two different techniques, as reflected from the protocols used for arriving at the estimates for tiger populations:
Co-operation Census Technique estimated the approximate size of tiger population in an area by converting field data to the territorial occupancy of tiger populations (Choudhury, 1970b), while the Pugmark Census technique used tiger pugmarks as the primary index for identifying individual tigers for estimating their populations in an area (Panwar, 1979a). The field data collected and the protocols for analysis of the field data were different in both cases, the only commonality was pugmarks traced by using a tiger tracer developed by Choudhury for his technique.
(2) Errors in the Evaluation of the Census Data of 1972 and 1984
i. Erroneous Bench Mark
a. In the census of 1972 tiger census could not be completed in 4/5th of Sunderbans in West Bengal; the Manas tiger reserve in Assam; the Simlipal tiger reserve in Orissa; and in north-eastern India (Srivastava, 1979).
b. After 1972 areas had been added to some tiger reserves (Panwar, 1979b). The numbers of tigers that happened to get added were not adjusted for calculation of densities and biomass to the earlier figure of 1972 for tiger reserves.
c. The 1984 census neither followed S.R. Choudhury’s method, nor did it have missing tigers in the estimate.
The use of 1972 census figures as a bench mark for calculation of growth rates from the complete census figures of 1984 was unscientific.
ii. Error in application of values of population parameters as a standard for ecologically different tiger habitats:
a. The comparison of densities and biomass using values from limited research carried out in ecologically different tiger conservation units was not scientifically valid because of the systemic differences in different landscapes and bio-geographical zones and biomes in other tiger habitats.
b. Cattle biomass is an indeterminate and significant addition to the prey base of tigers. Contrary to the assertion made in the review, that all cattle-kills are reported in India because compensation is paid for them, the facts are different. The carcasses of cattle killed are often not available to establish the claim for compensation, and quite a good number of kills miss getting recorded in the books.
c. The wide variation in tiger densities and tiger biomass shown in the census results of 1984 in India cannot simply be explained away by supposed difference in protection standards or errors in census methodology, without eliminating the effect of managed inputs in ecological productivity of resources and habitats affecting the growth of tigers.
d. Historical records also do not support the assumed rigor of densities a good habitat can attain. Tiger hunting bags recorded by different hunters, and tiger count by Maharaja of Bundi (Sankhala, 1978) indicate existence of higher tiger densities than those adopted from the research in a few other areas.
iii. Error in the Logic of the Analysis:
There was no logic in leading to a conclusion that census methodology was at fault because 6 out of 18 tiger reserves (33%) exceeded the presumed limits of tiger density and biomass, ignoring the 12 reserves where these were well within the stipulated limits.
(3) Errors in the experiment in the zoo:
i. Flaws in the concept and design of the experiment:
a. The design of the experiment did not simulate either the Co-operation Tiger method or the ‘Pugmark Census’ Technique. Co-operation technique used a network of impression pads to provide a single type of standard surface for tracing pugmarks. The experiment by design presented pugmarks from two non-standard surfaces for testing the participants and made a conclusion about the methodology.
b. The alleged length of experience of the participants was not established. In practice, Project Tiger organized tiger census once in four years at National level and once in two years at State level. Any participant to have acquired experience of 4 to 6 censuses would have had to spend a minimum of 7 to 11 years on postings in tiger conservation units. Similarly, for the experience of 12 years of census experience the said participant would need to spend 23-24 years on such posting(s). Such tenures are not allowed to an officer by the government. The reported length of experience with tiger census was not established beyond doubt. Some of the participants may have had tiger census experience on only one or two occasions!
ii. Flaws in the conduct of the experiment
a. The experiment asked the participants to identify tigers from a single parameter: the tiger pugmark. It offered inadequate data to the participants. The missing parameters were: location from where pugmarks were collected, the average stride and straddle of the tiger, and the placement of the tigers’ pugmarks with respect to the direction of their movement used in field census’ techniques for elimination of duplication in counting tigers.
b. In the experiment a serious anomaly was visible: if 70% of the participants had made statistically significant correct choices in distinguishing the sex and the pugmarks of tigers, but they had completely failed in identification of individual tigers and tiger counts, there was an imperative need to further investigate into the source of anomaly.
c. Scientific research protocol also demanded replication of experiment with different sets of participants since tiger census was being practiced in other States, too. It would have eliminated any chance of the participants having been exposed to a non-standard method.
But no replications of the experiment were carried out – the interpretation of results was made from a single sample survey.
(4) Evaluation of the Conclusion Derived in the Review
With defective bench-mark, lack of simulation of the field methodologies, inherent flaws in the design and conducting of the experiment, and only single sample survey, the only interpretations one can scientifically arrive at are:
1) That it is difficult to count tigers from only one parameter: pugmarks taken from two soil substrates; and
2) That the shortfall in the skills exhibited by participants in a single trial cannot be treated as the defect in the methodologies.
Pugmarks are a reliable tiger monitoring index – can be used in estimation of tiger populations and research – Other Views:
a. The Wildlife Institute of India tested the statements made in the follow-up of the Critical Review of Field Censuses by the investigator. These were:
(a) the pugmarks are not unique to individual tigers;
(b) they cannot be used for census, but can be used for estimates;
(c) census is subjective and number game;
(d) the census method is not validated quantitatively on wild tigers;
(e) and the field method is vulnerable to extraneous factors (Karanth, 2003).
b. The findings by the Wildlife Institute of India conclusively disproved all these contentions in 2005 (Sharma et al, 2001, 2005).
(a) Their study established that the pugmarks are unique to individual tigers;
(b) pugmarks can be used for population estimation of tigers;
(c) 63% of the Indian experts were 100% accurate in identifying tigers from their pugmarks;
(d) pugmarks census technique had 100% classification accuracy in DFA & Logistic Regression models using only two variables - Length & Width of pugmarks; and that
(e) the use of protocols can help in avoiding influence of extraneous factors (Sharma et al, 2001, 2005).
c. A tiger pugmark-identity correlation field test was carried out by the scientists of the Smithsonian Tiger Conservation Project in Chitwan tiger habitat in Nepal. It involved identification of tigers from their tracks and verifying their identity from photographs of tigers. The team established the validity of pugmark identification in 1996, and extensively used data from tracks in their research work for over 15 years. (Smith et al, 1999).
d. Historically, if pugmarks could not identify individual tigers and leopards, how is it that Jim Corbett did not overkill tigers and leopards in his pursuit of man-eaters, at a time when for every tiger and leopard in India today there were many times more in his times to choose from?
Monitoring Tigers in the Twenty-First Century
The rejection of field methods for estimating the tiger populations was not based on any scientific experiment. There is science in the field methods, too. The reliability of pugmarks as an index for tiger count was questioned and answered over the past two decades. The statistical estimation approaches have also been tried out. The use of statistical modeling approaches in wildlife conservation also can not be ignored. Both the field methods and statistical models are vulnerable to human bias.
Systems Analysis and Ecological Modeling can become a significant component of wildlife management only if the results are verifiable and useful for the user. The problem lies in the lack of appreciation about when and where to use which approach. Blind promotion or rejection of any approach may have an adverse effect on tiger conservation.
It is not the academic excellence but the field staff that will save the tiger. The need of the day is to enable the field level manpower to monitor tigers with user-friendly methods and techniques. The right way(s) to monitor tiger populations and habitats in the 21st century will be the one(s) that ensure the tiger is benefited from our efforts. A fresh look at both the academic and the field approaches is needed. There is no harm in trying to REINVENT OR REPAIR THE WHEEL IF THE EXISTING ONE DOES NOT WORK.
References
(A list of 51 references given in the unabridged paper.)
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