Skip to main content
Log in

Calibration of a burrow count index for the Indian desert jird, Meriones hurrianae

  • Notes and Comments
  • Published:
Population Ecology

Abstract

Population estimates, often difficult to acquire, warrantee the use of an index as an economical substitute for rapid assessments of populations. We estimated population size of the little known social, semi-fossorial Indian desert jird (Meriones hurrianae) in Kachchh, Gujarat, India under closed population capture-mark-recapture (CMR) framework to calibrate a burrow count index for the species. A total of 147 individuals were trapped in 16 colonies using baited Sherman traps and the number of burrow entrances at each colony was recorded. Data from colonies with low number of captures were pooled to estimate capture probability using Huggins heterogeneity models with gender, site, body weight and age category as covariates in Program MARK. Colony sizes ranged from 2 to 46 individuals. The number of burrow entrances was calibrated against CMR-based population estimates using least squares regression (n = 16, adjusted R 2 = 0.96, t = 18.18, P < 0.001). The index was further validated using Jackknife (JK) analysis where JK-predicted population estimates strongly correlated with CMR estimates (r = 0.96, P < 0.001). In habitats and climatic conditions similar to Kachchh and within the range of colony sizes sampled, our calibrated index can be a valuable and effective tool for large scale surveys of the desert jird, which occupies a keystone trophic level in the semi-arid ecosystem.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  • Anderson DR (2003) Response to Engeman: index values rarely constitute reliable information. Wildl Soc Bull 31:288–291

    Google Scholar 

  • Biggins DE, Lockhart JM, Godbey JL (2005) Evaluating habitat for black-footed ferrets: revision of an existing model. In: Roella JE, Miller BJ, Godbey JL, Biggins DE (eds) Recovery of the black-footed ferret–progress and continuing challenges, vol 5293. US Geological Survey Scientific Investigations Report, Reston, pp 143–150

  • Biggins DE, Sidle JG, Seery DB, Ernst AE (2006) Estimating the abundance of prairie dogs. In: Hoogland J (ed) Conservation of the black-tailed prairie dog: saving North America’s western grasslands. Island Press, Washington, DC, pp 94–107

    Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York

    Google Scholar 

  • Champion HG, Seth SK (1968) A revised survey of forest types of India. Government of India publications, Delhi

    Google Scholar 

  • Conn PB, Arthur AD, Bailey LL, Singleton GR (2006) Estimating the abundance of mouse populations of known size: promises and pitfalls of new methods. Ecol Appl 16:829–837

    Article  PubMed  Google Scholar 

  • Conroy MJ, Carroll JP (2009) Quantitative conservation of vertebrates. Wiley-Blackwell, West Sussex

    Book  Google Scholar 

  • Cook RD, Weisberg S (1982) Residuals and influence in regression. Chapman and Hall, New York

    Google Scholar 

  • Dickman CR (1999) Rodent-ecosystem relationships: a review. In: Singleton GR, Hinds LA, Leirs H, Zhang Z (eds) Ecologically-based management of rodent pests. Australian Centre for International Ecological Research, Canberra, pp 113–133

    Google Scholar 

  • Eberhardt L, Simmons M (1987) Calibrating population indices by double sampling. J Wildl Manage 51:665–675

    Article  Google Scholar 

  • Engeman RM (2005) Indexing principles and a widely applicable paradigm for indexing animal populations. Wildl Res 32:203–210

    Article  Google Scholar 

  • Goyal SP (1988) Field urine concentration of two Indian desert gerbils. J Mammal 69:418–421

    Article  Google Scholar 

  • Horne BV, Schooley RL, Knick ST, Olson GS, Burnham KP (1997) Use of burrow entrances to indicate densities of Townsend’s ground squirrels. J Wildl Manage 61:92–101

    Article  Google Scholar 

  • Hubbs AH, Karels T, Boonstra R (2000) Indices of population size for burrowing mammals. J Wildl Manage 64:296–301

    Article  Google Scholar 

  • Huggins RM (1989) On the statistical analysis of capture experiments. Biometrika 76:133–140

    Article  Google Scholar 

  • Jhala Y, Qureshi Q, Gopal R (2011) Can the abundance of tigers be assessed from their signs? J Appl Ecol 48:14–24

    Article  Google Scholar 

  • Krebs CJ (1989) Ecological methodology. Harper & Row, New York

    Google Scholar 

  • Litt AR, Steidl RJ (2010) Improving estimates of abundance by aggregating sparse capture-recapture data. J Agric Biol Environ Stat 15:228–247

    Article  Google Scholar 

  • MacKenzie DI, Nichols JD, Sutton N, Kawanishi K, Bailey LL (2005) Improving inferences in population studies of rare species that are detected imperfectly. Ecology 86:1101–1113

    Article  Google Scholar 

  • McKelvey KS, Pearson DE (2001) Population estimation with sparse data: the role of estimators versus indices revisited. Can J Zool 79:1754–1765

    Article  Google Scholar 

  • Menkens GE Jr, Anderson SH (1988) Estimation of small-mammal population size. Ecology 69:1952–1959

    Article  Google Scholar 

  • Menkens GE Jr, Biggins DE, Anderson SH (1990) Visual counts as an index of white-tailed prairie dog density. Wildl Soc Bull 18:290–296

    Google Scholar 

  • Molur S, Srinivasulu C, Srinivasulu B, Walker S, Nameer P, Ravikumar L (2005) Status of south Asian non-volant small mammals: conservation assessment and management plan (C.A.M.P.) workshop report. Zoo Outreach Organisation/CBSG-South Asia, Coimbatore

  • Nichols JD (1992) Capture-recapture models. Bioscience 42:94–102

    Article  Google Scholar 

  • Pollock KH, Nichols JD, Simons TR, Farnsworth GL, Bailey LL, Sauer JR (2002) Large scale wildlife monitoring studies: statistical methods for design and analysis. Environmetrics 13:105–119

    Article  Google Scholar 

  • Powell KL, Robel RJ, Kemp KE, Nellis MD (1994) Aboveground counts of black-tailed prairie dogs: temporal nature and relationship to burrow entrance density. J Wildl Manage 58:361–366

    Article  Google Scholar 

  • Prakash I (1981) Ecology of the Indian desert gerbil, Meriones hurrianae. Central Arid Zone Research Institute, Jodhpur

    Google Scholar 

  • Price AJ, Rachlow JL (2011) Development of an index of abundance for pygmy rabbit populations. J Wildl Manage 75:929–937

    Article  Google Scholar 

  • Rodgers WA, Panwar HS (1988) Planning a protected area network in India. Wildlife Institute of India, Dehradun

    Google Scholar 

  • Severson KE, Plumb GE (1998) Comparison of methods to estimate population densities of black-tailed prairie dogs. Wildl Soc Bull 26:859–866

    Google Scholar 

  • Sinhasane SV, Joshi NB (1998) Impact of aggressive encounters on reproductive behaviour in the Indian desert gerbil, Meriones hurrianae (Jerdon). J Biosciences 23:633–639

    Article  Google Scholar 

  • Slade NA, Blair SM (2000) An empirical test of using counts of individuals captured as indices of population size. J Mammal 81:1035–1045

    Article  Google Scholar 

  • Whisson DA, Engeman RM, Collins K (2005) Developing relative abundance techniques (RATs) for monitoring rodent populations. Wildl Res 32:239–244

    Article  Google Scholar 

  • White GC, Burnham KP (1999) Program mark: survival estimation from populations of marked animals. Bird Study (Supplement) 46:120–138

    Article  Google Scholar 

  • Wiewel AS, Clark WR, Sovada MA (2007) Assessing small mammal abundance with track-tube indices and mark-recapture population estimates. J Mammal 88:250–260

    Article  Google Scholar 

  • Wood MD, Slade NA (1990) Comparison of ear-tagging and toe-clipping in prairie voles, Microtus ochrogaster. J Mammal 71:252–255

    Article  Google Scholar 

Download references

Acknowledgments

The project was funded by the Grant-in-aid allocations to the Wildlife Institute of India (WII). The authors thank the Director and Dean of WII for facilitation. The academic and technical support provided by I. P. Bopanna, Sutirtha Dutta and Kamlesh Maurya along with sincere field efforts by Azharuddin, L. S. Negi, Ishaq bhai are greatly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Divya Ramesh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ramesh, D., Home, C., Jhala, Y.V. et al. Calibration of a burrow count index for the Indian desert jird, Meriones hurrianae . Popul Ecol 55, 241–245 (2013). https://doi.org/10.1007/s10144-012-0340-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10144-012-0340-7

Keywords

Navigation