Does Reduced Habitat Quality or Increased Hunter Access Explain Defaunation of Fragmented Forests?

doi:10.1017/9781107449824.019

16 - Does Reduced Habitat Quality or Increased Hunter Access Explain Defaunation of Fragmented Forests?

Bonobos as a Case Study

from Part III - GIS Analysis in Broad-Scale Space

Published online by Cambridge University Press: 29 January 2021

Jena R. Hickey and

Michael J. Conroy

Edited by

Francine L. Dolins ,

Christopher A. Shaffer ,

Leila M. Porter ,

Jena R. Hickey and

Nathan P. Nibbelink

Show author details

Francine L. Dolins: Affiliation:
University of Michigan, Dearborn
Christopher A. Shaffer: Affiliation:
Grand Valley State University, Michigan
Leila M. Porter: Affiliation:
Northern Illinois University
Jena R. Hickey: Affiliation:
University of Georgia
Nathan P. Nibbelink: Affiliation:
University of Georgia

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Summary

Primatologists require tools to better understand primate habitat use and occurrence at broad spatial scales in order to address the potential consequences of accelerated land use change on many threatened or endangered primate populations. Landscape-level variables derived from remote sensing can contribute to more informed conservation planning decisions, yet need to be grounded in established relationships with local field data. Landscape-level variables necessarily are measured at different scales than GPS-level variables, thereby confounding our understanding of the causal mechanisms that relate them. For example, the mechanism causing empty forest syndrome, a condition in which relatively intact stands of forest are devoid of most fauna, has generally been attributed to local hunting (Fa & Brown 2009; Redford 1992; Wilkie et al. 2011). Wilkie et al. (1992) made a convincing case that forest fragmentation via roads and transects from logging activities exacerbated hunting pressure on forest fauna in the Republic of Congo. Therefore, we (Hickey et al. 2012, 2013) hypothesized that remotely sensed data measuring forest fragmentation and landscape-level proxies of hunter access (distance from agriculture, distance from road, distance from rivers) may correspond to relative hunting pressure for many hunted species because areas near agriculture, roads, and rivers are necessarily near areas of higher human concentration. However, it remains untested whether those landscape metrics actually relate to relative hunting pressure. Approaches using geographic information systems (GIS) and global positioning systems (GPS) are essential to answering such important questions.

Type: Chapter
Information: Spatial Analysis in Field Primatology
Applying GIS at Varying Scales
, pp. 349 - 364

DOI: https://doi.org/10.1017/9781107449824.019 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2021

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References

Akaike, H. 1973. Information theory and an extension of the maximum likelihood principle. Pages 267–281 in Second International Symposium on Information Theory. Petrov, B. N. and Csaki, F. (Eds.). Akademiai Kiado, Budapest.Google Scholar

Anderson, D. R., Burnham, K. P., and Thompson, W. L. 2000. Null hypothesis testing: problems, prevalence, and an alternative. Journal of Wildlife Management 64: 912–923.Google Scholar

Buckland, S. T., Anderson, D. R., Burnham, K. P., et al. 2001. Introduction to Distance Sampling: Estimating Abundance of Biological Populations. Oxford University Press, New York.Google Scholar

Davies, D. K., Ilavajhala, S., Wong, M. M., and Justice, C. O. 2009. Fire information for resource management system: archiving and distributing MODIS active fire data. IEEE Transactions on Geoscience and Remote Sensing 47: 72–79.Google Scholar

Dupain, J. and Van Elsacker, L. 2001. The status of the bonobo in the Democratic Republic of Congo. Pages 57–74 in All Apes Great and Small Volume 1: African Apes. Galdikas, B. M. F., Erickson Briggs, N., Sheeran, L. K., Shapiro, G. L. and Goodall, J. (Eds.). Kluwer Academic/Plenum Publishers, New York.Google Scholar

Dupain, J., Nackoney, J., Kibambe, J., Bokelo, D., and Williams, D. 2009. Maringa–Lopori–Wamba Landscape. Pages 329–338 in The Forests of the Congo Basin: State of the Forest 2008. de Wasseige, C., Devers, D., de Marcken, P., et al. (Eds.). Publications Office of the European Union, Luxembourg.Google Scholar

Eriksson, J. 1999. A survey of the forest and census of the bonobo (Pan paniscus) population between the Lomako and the Yekokora rivers in the Equateru province, D R Congo. MSc Thesis. University of Uppsala.Google Scholar

Fa, J. E. and Brown, D. 2009. Impacts of hunting on mammals of African tropical moist forests: a review and synthesis. Mammal Review 39: 231–264.Google Scholar

Fruth, B., Benishay, J. M., Bila-Isia, I., et al. 2008. Pan paniscus. In IUCN Red List of Threatened Species, Version 2010.4. Available at: www.iucnredlist.org.Google Scholar

Hansen, M. C., Roy, D., Lindquist, E., et al. 2008. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sensing of Environment 112: 2495–2513.Google Scholar

Hart, J., Grossmann, F., Vosper, A., and Ilanga, J. 2008. Human hunting and its impact on bonobos in the Salonga National Park, D.R. Congo. Pages 245–271 in The Bonobos Behavior, Ecology, and Conservation. Furuichi, T. and Thompson, J. (Eds.). Springer, New York.CrossRef Google Scholar

Hashimoto, C. and Furuichi, T. 2001. Current situation of bonobos in the Luo reserve, Equateur, Democratic Republic of Congo. Pages 83–93 in All Apes Great and Small Volume 1: African Apes. Galdikas, B., Briggs, N., Sheeran, L., Shapiro, G., and Goodall, J. (Eds.). Kluwer Academic/Plenum Press, New York.Google Scholar

Hickey, J. R. 2012. Modeling bonobo (Pan paniscus) occurrence in relation to bushmeat hunting, slash-and-burn agriculture, and timber harvest: harmonizing bonobo conservation with sustainable development. Dissertation. University of Georgia.Google Scholar

Hickey, J. R. and Sidle, J. G. 2006. USDA Forest Service Office of International Programs Trip Report: Mission to Support Landscape Planning in the Maringa-Lopori-Wamba Landscape, Democratic Republic of Congo. Available at http://carpe.umd.edu/Documents/2006/MLWTripReportFinal.pdf.Google Scholar

Hickey, J., Carroll, J. P., and Nibbelink, N. P. 2012. Applying landscape metrics to characterize potential habitat of bonobos (Pan paniscus) in the Maringa–Lopori–Wamba landscape, Democratic Republic of Congo. International Journal of Primatology 33: 381–400.Google Scholar

Hickey, J. R., Nackoney, J., Nibbelink, N. P., et al. 2013. Human proximity and habitat fragmentation are key drivers of the rangewide bonobo distribution. Biodiversity & Conservation 23: 3085–3104.Google Scholar

Hosmer, D. W. and Lemeshow, S. 1989. Applied Logistic Regression. Wiley, New York.Google Scholar

Huggins, R. M. 1989. On the statistical analysis of capture experiments. Biometrika Trust 76: 133–140.Google Scholar

Hurvich, C. M. and Tsai, C. 1989. Regression and time series model selection in small samples. Biometrika 76: 297–307.Google Scholar

Laurance, W. F., Goosem, M., and Laurance, G. W. 2009. Impacts of roads and linear clearings on tropical forests. Trends in Ecology and Evolution 24 : 659–669.Google Scholar

MacKenzie, D. I., Nichols, J. D., Royle, J. A., et al. 2006. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence. Elsevier, Burlington, MA.Google Scholar

Millington, J. D. A., Walters, M. B., Matonis, M. S., and Liu, J. 2010. Effects of local and regional landscape characteristics on wildlife distribution across managed forests. Forest Ecology and Management 259: 1102–1110.Google Scholar

Mohneke, M. and Fruth, B. 2008. Bonobo (Pan paniscus) density estimation in the SW-Salonga National Park, Democratic Republic of Congo: common methodology revisited. Pages 151–166 in The Bonobos Behavior, Ecology, and Conservation. Furuichi, T. and Thompson, J.. (Eds.). Springer, New York.Google Scholar

Mulavwa, M. N., Yangozene, K., Yamba-Yamba, M., et al. 2010. Nest groups of wild bonobos at Wamba: selection of vegetation and tree species and relationships between nest group size and party size. American Journal of Primatology 72 : 575–586.CrossRef Google Scholar PubMed

Redford, K. H. 1992. The empty forest. BioScience 42: 412–422.CrossRef Google Scholar

Reinartz, G. E., Isia, I. B., Ngamankosi, M., and Wema, L. W. 2006. Effects of forest type and human presence on bonobo (Pan paniscus) density in the Salonga National Park. International Journal of Primatology 27: 603–634.Google Scholar

Royall, R. M. 1997. Statistical Evidence: A Likelihood Paradigm. Chapman & Hall, New York.Google Scholar

USGS. 2000. HYDRO1k Elevation Derivative Database. Available at http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/gtopo30/hydro/africa.Google Scholar

Wilkie, D. S., Sidle, J. G., and Boundzanga, G. C. 1992. Mechanized logging, market hunting and a bank loan in Congo. Conservation Biology 6: 570–580.Google Scholar

Wilkie, D. S., Bennett, E. L., Peres, C. A., and Cunningham, A. A. 2011. The empty forest revisited. Annual New York Academy of Sciences 1223: 120–128.CrossRef Google Scholar PubMed

Williams, B. K., Nichols, J. D., and Conroy, M. J. 2002. Analysis and Management of Animal Populations. Academic Press, San Diego, CA.Google Scholar