Understanding the nesting spatial behaviour of gorillas in the Kagwene Sanctuary, Cameroon

We use spatial point pattern methods to analyse gorilla nest site data, and to enhance our understanding of the nesting behaviour of the Gorilla gorilla diehli in the Kagwene Sanctuary, Cameroon. Data were split into different seasons and different gorilla groups to better understand gorilla nesting behaviour at these different scales. Gorilla nest site distribution was found to be inhomogeneous and clustered, as a result of the inhomogeneity in the distribution of the environmental factors (such as elevation, slope, vegetation and aspect), and because of the interaction between nest sites. The proposed models reflected therefore a combination of the effect of environmental factors and interaction between nest sites. Predictions from these models showed that there is less space available for gorilla nest site location in the dry season than in the rainy season. It also showed that the Minor gorilla group has a bigger niche than the Major group, suggesting a nesting disadvantage in the larger size group. We also found that nest site locations of Major gorilla groups attract Minor groups, and vice versa.

[1]  Y. Warren,et al.  Nest site ecology of the cross river gorilla at the Kagwene Gorilla Sanctuary, Cameroon, with special reference to anthropogenic influence , 2011, American journal of primatology.

[2]  H. Akaike INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD , 1973 .

[3]  Edzer Pebesma,et al.  Applied Spatial Data Analysis with R. Springer , 2008 .

[4]  M. Remis Nesting Behavior of Lowland Gorillas in the Dzanga-Sangha Reserve, Central African Republic: Implications for Population Estimates and Understandings of Group Dynamics. , 1993 .

[5]  Jorge Mateu,et al.  Case Studies in Spatial Point Process Modeling , 2006 .

[6]  Rolf Turner,et al.  Point patterns of forest fire locations , 2009, Environmental and Ecological Statistics.

[7]  J. Illian,et al.  Ecological information from spatial patterns of plants: insights from point process theory , 2009 .

[8]  Jorge Mateu,et al.  Statistical inference for Gibbs point processes based on field observations , 2011 .

[9]  D. Doran,et al.  Influencing Western Gorilla Nest Construction at Mondika Research Center , 2002, International Journal of Primatology.

[10]  Guangqing Chi,et al.  Applied Spatial Data Analysis with R , 2015 .

[11]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[12]  Jorge Mateu,et al.  The spatial pattern of a forest ecosystem , 1998 .

[13]  J. Besag,et al.  Point process limits of lattice processes , 1982, Journal of Applied Probability.

[14]  Adrian Baddeley,et al.  Modelling Spatial Point Patterns in R , 2006 .

[15]  J. Sunderland-Groves,et al.  Nesting Behavior of Gorilla gorilla diehli at Kagwene Mountain, Cameroon: Implications for Assessing Group Size and Density , 2009, International Journal of Primatology.

[16]  G. Christakos,et al.  Spatial statistics of clustered data , 2004 .

[17]  C. Tutin,et al.  Nest building by lowland gorillas in the Lopé Reserve, Gabon: Environmental influences and implications for censusing , 1995, International Journal of Primatology.

[18]  Elizabeth A. Williamson,et al.  Regional action plan for the conservation of the cross river gorilla (Gorilla gorilla diehli) , 2007 .

[19]  A. Baddeley,et al.  Non‐ and semi‐parametric estimation of interaction in inhomogeneous point patterns , 2000 .

[20]  A. Gelfand,et al.  Handbook of spatial statistics , 2010 .

[21]  Jorge Mateu,et al.  Characterising forest spatial structure through inhomogeneous second order characteristics , 2009 .

[22]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[23]  A. Baddeley,et al.  Area-interaction point processes , 1993 .

[24]  S. Ferrari,et al.  Behavior patterns of Southern Bearded Sakis (Chiropotes satanas) in the fragmented landscape of Eastern Brazilian Amazonia , 2009, American journal of primatology.

[25]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[26]  D. Brugière,et al.  Population density and nesting behaviour of lowland gorillas (Gorilla gorilla gorilla) in the Ngotto forest, Central African Republic , 2001 .

[27]  George Ostrouchov,et al.  Multiscale structure of UXO site characterization: spatial estimation and uncertainty quantification , 2009 .

[28]  L. Vigilant,et al.  Genetic analysis reveals population structure and recent migration within the highly fragmented range of the Cross River gorilla (Gorilla gorilla diehli) , 2006, Molecular ecology.

[29]  Scott A. Sisson,et al.  Statistical Inference and Simulation for Spatial Point Processes , 2005 .

[30]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[31]  Adrian Baddeley,et al.  Practical maximum pseudolikelihood for spatial point patterns , 1998, Advances in Applied Probability.

[32]  Peter A. Rogerson,et al.  Monitoring global spatial statistics , 2007 .

[33]  R. Bergl Conservation biology of the Cross River gorilla (Gorilla gorilla diehli) , 2006 .

[34]  Jian Yang,et al.  Spatial Patterns of Modern Period Human-Caused Fire Occurrence in the Missouri Ozark Highlands , 2007, Forest Science.

[35]  Peter J. Diggle,et al.  Statistical analysis of spatial point patterns , 1983 .

[36]  D. Stoyan,et al.  Statistical Analysis and Modelling of Spatial Point Patterns , 2008 .

[37]  Mark Berman,et al.  Approximating point process likelihoods with GLIM. , 1993 .

[38]  Stephen L. Rathbun,et al.  Modelling the effects of partially observed covariates on Poisson process intensity , 2007 .