Skip to main content

Advertisement

Log in

Assessing the potential distribution of the Caucasian black grouse Tetrao mlokosiewiczi in Turkey through spatial modelling

  • Original Article
  • Published:
Journal of Ornithology Aims and scope Submit manuscript

Abstract

The Caucasian black grouse (CBG) is classified as “data deficient” by the IUCN. Lack of information to guide conservation measures is mainly due to the bird’s elusive behaviour for much of the year and to its remote distribution at higher altitudes of the Caucasus Mountains. In order to fill some of the knowledge gaps, we mapped potential suitable habitat across the Turkish part of the Lesser Caucasus using a spatial regression model, and estimated the total CBG population from alternative assumptions on population density and habitat separation. The CBG model was derived from 167 CBG records obtained during a survey in representative areas of the Turkish Caucasus, in conjunction with a supervised habitat classification of satellite images and with topographic parameters calculated from a digital elevation model. In total, approx. 5,000 km2 of suitable habitat were predicted to exist within the borders of Turkey, including areas where the CBG has not previously been searched for. Under conservative assumptions, this area can carry more than 4,800 individuals, which is higher than previously estimated. The predicted distribution map can be used to select priority areas for conservation and to specify additional survey locations of the species in areas, which so far have been less well sampled.

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

Similar content being viewed by others

References

  • Akaike H (1973) Information theory as an extension of the maximum likelihood principle. In: Petrov BN, Csaki F (eds) Second international symposium on information theory, Akademiai Kiado, Budapest, pp 267–281

    Google Scholar 

  • Akman Y (1995) Türkiye Orman Vejetasyonu—forest vegetation of Turkey, Ankara (in Turkish)

  • Atalay İ (1994) Türkiye Vejetasyon Cografyasi—vegetation geography of Turkey, Izmir (in Turkish with English summary)

  • Atalay İ (2002) Türkiye’nin ekolojik bölgeleri—Ecoregions of Turkey, Izmir (in Turkish with English summary)

  • Atkinson PW, Humpage EA, Jowitt AJD, Ogurlu I, Rowcliffe JM (1995) The distribution and status of Caucasian Black Grouse in north-eastern Turkey. In: Jenkins D (ed) Proceedings of the 6th international symposium on grouse. World Pheasant Association, Udine, pp 131–133

  • Baskaya S (1997) Dag horozu (Caucasian black grouse)—Dostlar Rasgele Av-Doğa Kültürel Dergisi (in Turkish) 4:22–23

    Google Scholar 

  • Baskaya S (2003) Distribution and principal threats to Caucasian black grouse Tetrao mlokosiewiczi in the Eastern Karadeniz Mountains in Turkey. Wildl Biol 9:377–383

    Article  Google Scholar 

  • Betts MG, Diamond AW, Forbes GJ, Villard M-A, Gunn JS (2006) The importance of spatial autocorrelation, extent and resolution in predicting forest bird occurrence. Ecol Model 191:197–224

    Article  Google Scholar 

  • Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrol Sci Bull 24:43–69

    Article  Google Scholar 

  • BirdLife International (2006) Caucasian Black Grouse—‘Birds in Europe’ factsheet. url: http://www.birdlife.org/datazone/species/BirdsInEuropeII/BiE2004Sp294.pdf

  • Boyce MS, Vernier PR, Nielsen SE, Schmiegelow FKA (2002) Evaluating resource selection functions. Ecol Model 157:281–300

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer, Berlin Heidelberg New York

    Google Scholar 

  • Campbell JB (2002) Introduction to remote sensing. Guildford Press, New York

    Google Scholar 

  • Drovetski SV, Rohwer S (2000) Habitat use, chick survival and density of Caucasian black grouse Tetrao mlokosiewiczi. Wildl Biol 6:233–240

    Article  Google Scholar 

  • Engler R, Guisan A, Rechsteiner L (2004) An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. J Appl Ecol 41:263–274

    Article  Google Scholar 

  • Etzold J (2003) Kennzeichnung des Lebensraumes des Kaukasus-birkhuhuns Tetrao mlokosiewiczi im Ostkaukasus. Thesis, University Greifswald

  • Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49

    Article  Google Scholar 

  • GCCW (2005) A model to predict the occurrence of Caucasian grouse in Georgia. Georgian Center for the Conservation of Wildlife (GCCW), Tbilisi. Unpublished report

  • Gokhelashvili R, Reese KP, Gavashelishvili L (2003) How much do we know about the Caucasian Black Grouse Tetrao mlokosiewiczi? Sandgrouse 25:32–40

    Google Scholar 

  • Gottschalk TK, Ekschmitt K, Wolters V, Misok A, Weiste M (2006) GEPARD Version 1.1. Department of Animal Ecology, Justus-Liebig-University Giessen. url: http://www.sfb299.de/GEPARD

  • IUCN (2004) Tetrao mlokosiewiczi. In: IUCN 2006. 2006 IUCN Red List of Threatened Species. url: http://www.iucnredlist.org. Downloaded on 14 May 2007

  • Klaus S, Storch I (2003) Autumn display of the Caucasian black grouse Tetrao mlokosiewiczi—observations in the Kazbegi reserve/Georgia. Grouse News 26:11–12

    Google Scholar 

  • Klaus S, Bergmann H-H, Marti C, Müller F, Vitovich OA, Wisner J (1990) Die Birkhühner Tetrao tetrix und T. mlokosiewiczi. Ziemsen, Wittenberg Lutherstadt

  • Klaus S, Bergmann H-H, Wiesner J, Vitovich OA, Etzold J, Sultanov E (2003) Behaviour and ecology of the Caucasian Grouse Tetrao mlokosiewiczi—silent courtship on steep slopes. Limicola 17:255–268 (in German with English summary)

    Google Scholar 

  • Legendre P (1993) Spatial autocorrelation: trouble or new paradigm? Ecology 74:1659–1673

    Article  Google Scholar 

  • Liu C, Berry PM, Dawson TP, Pearson RG (2005) Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28:385–393

    Article  Google Scholar 

  • McCune B, Keon D (2002) Equations for potential annual direct incident radiation and heat load index. J Veg Sci 13:603–606

    Article  Google Scholar 

  • Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson WP (2002) Resource selection by animals: statistical design and analysis for field studies. Kluwer, Dordrecht

    Google Scholar 

  • Mayer H, Aksoy H (1986) Wälder der Türkei. Gustav Fischer, Stuttgart

    Google Scholar 

  • Osborne PE, Alonso JC, Bryant RG (2001) Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. J Appl Ecol 38:458–471

    Article  Google Scholar 

  • Pearce J, Ferrier S (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecol Model 133:225–245

    Article  Google Scholar 

  • Pirselimoglu H (1990) 40 years in hunting (Avcılıkta 40 yıl). Hilal Matb. Koll. Şti., İstanbul

  • Poirazidis K, Goutner V, Skartsi T, Stamou G (2004) Modelling nesting habitat as a conservation tool for the Eurasian black vulture (Aegypius monachus) in Dadia Nature Reserve, northeastern Greece. Biol Conserv 118:235–248

    Article  Google Scholar 

  • Potapov RL (1985) Order Galliformes. Part 2. Family Tetraonidae. Fauna of the USSR, new series 133. Birds, vol. 3, issue 1. Leningrad (In Russian)

  • R Development Core Team (2006) R: A language and environment for statistical computing. R Foundation for Statistical Computing. url: http://www.R-project.org

  • Rice WR (1989) Analyzing tables of statistical tests. Evolution 43:223–225

    Article  Google Scholar 

  • Storch I (2000) Grouse Status Survey and Conservation Action Plan 2000–2004—WPA/BirdLife/SSC Grouse Specialist Group/IUCN. Gland, Cambridge

  • Sultanov E (2006) Surveys in Caucasian black grouse habitats in Azerbaijan. Newsletter of the WPA/BirdLife/IUCN/SSC Grouse Specialist Group 31:25–28

  • Turkish Ministry of Environment and Forestry (2005) Digital elevation model of Turkey. Directorate of Mapping & Photogrammetry in the General Directorate of Forestry of the Ministry of Environment and Forestry. Ankara, Turkey

  • Verbyla DL, Litvaitis JA (1989) Resampling methods for evaluating classification accuracy of wildlife habitat models. Environ Manage 13:783–787

    Article  Google Scholar 

  • Vitovich OA (1986) Ecologia kavkaskovo tetereva (Ecology of the Caucasian black grouse) (in Russian). Tr Teberdinsk Zapov 10:165–309

    Google Scholar 

  • Zweig MH, Campbell G (1993) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 39:561–577

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We wish to thank Onder Cirik, and Luke Smith for conducting some of the Caucasian black grouse surveys, and Cenk Türkman, Nilüfer Arac, Ayse Könte, Murat Bozdogan for assistance in the field. We thank the Directorate of Mapping and Photogrammetry in the General Directorate of Forestry within the Ministry of Environment and Forestry of the Republic of Turkey, for providing satellite images, digital elevation data and topographic maps. This research was funded by the Baku Tbilisi Ceyhan Crude Oil Pipeline Project Environmental Investment Program and complies with the current laws of Germany and Turkey. We thank one anonymous reviewer and Siegfried Klaus for constructive comments on early drafts of this manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thomas K. Gottschalk.

Additional information

Communicated by F. Bairlein.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gottschalk, T.K., Ekschmitt, K., İsfendiyaroglu, S. et al. Assessing the potential distribution of the Caucasian black grouse Tetrao mlokosiewiczi in Turkey through spatial modelling. J Ornithol 148, 427–434 (2007). https://doi.org/10.1007/s10336-007-0155-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10336-007-0155-z

Keywords

Navigation