The application of camera trapping to assess Rallidae species richness within palustrine wetland habitat in South Africa

References

• Ahumada JH, Hurtado J, Lizcano D. 2013. Monitoring the status and trends of tropical forest terrestrial vertebrate communities from camera trap data: a tool for conservation. PLoS ONE 8: e73707. doi: 10.1371/journal.pone.0073707
   PubMed Web of Science ®Google Scholar
• Allan DG, McInnes AM, Wondafrash M. 2006. Whitewinged Flufftail Sarothrura ayresi in Ethiopia: notes on habitat, densities, morphometrics, nests and eggs, and associated waterbirds. Bulletin of the African Bird Club 13: 28–36.
   Google Scholar
• Ancrenaz M, Hern HA, Ross J, Sollmann R, Wilting A. 2012. Handbook for wildlife monitoring using camera-traps. Kota Kinabalu: BBEC II Secretariat.
   Google Scholar
• Arden-Clarke CHG. 1986. Population density, home range size and spatial organization of the Cape clawless otter, Aonyx capensis, in a marine habitat. Journal of Zoology 209: 201–211. doi: 10.1111/j.1469-7998.1986.tb03576.x
   Web of Science ®Google Scholar
• Aynalem S, Bekele A. 2008. Species composition, relative abundance and distribution of bird fauna of riverine and wetland habitats of Infranz and Yiganda at southern tip of Lake Tana, Ethiopia. Tropical Ecology 49: 199–209.
   Google Scholar
• Barnes KN (ed.). 2000. The Eskom red data book of birds of South Africa, Lesotho and Swaziland. Johannesburg: BirdLife South Africa.
   Google Scholar
• Bibby C, Jones M, Marsden S. 1998. Expedition field techniques: bird surveys. London: Royal Geographical Society.
   Google Scholar
• Carbone C, Christelle S, Conforti K, Coulson T, Franklin N, Ginsberg JR, Griffins M, Holden J, Kawanishi K, Kinnaird M, Laidlaw R, Lynam A, Macdonald DW, Martyr D, McDougal C, Nath L, O’Brien T, Seidensticker J, Smith DJL, Sunquist M, Tilson R, Wan Shahruddin WN. 2002. The use of photographic rates to estimate densities of tigers and other cryptic mammals. Animal Conservation 4: 75–79. doi: 10.1017/S1367943001001081
   Web of Science ®Google Scholar
• Colwell RK. 2013. EstimateS: statistical estimation of species richness and shared species from samples. Version 9. Persistent URL <purl.oclc.org/estimates>.
   Google Scholar
• Cutler L, Swan DE. 1999. Using remote photography in wildlife ecology: a review. Wildlife Society Bulletin 27: 571–581.
   Web of Science ®Google Scholar
• Davies GBP, Smit-Robinson HA, Drummond IMM, Gardener B, Rautenbach S, van Stuyvenberg D, Nattrass C, Pretorius M, Pietersen DW, Symes CT. 2015. Recent records of the White-winged Flufftail Sarothrura ayresi (Aves, Sarothruridae) in South Africa, including details of a survey in high-altitude wetlands in 2013–2014. Durban Natural Science Novitates 37: 62–75.
   Google Scholar
• De Bondi N, White JG, Stevens M, Cooke R. 2010. A comparison of the effectiveness of camera trapping and live trapping for sampling terrestrial small-mammal communities. Wildlife Research 37: 456–465. doi: 10.1071/WR10046
   Web of Science ®Google Scholar
• Dillon A, Kelly MJ. 2007. Ocelot Leopardus pardalis in Belize: the impact of trap spacing and distance moved on density estimates. Oryx 41: 469–477. doi: 10.1017/S0030605307000518
   Web of Science ®Google Scholar
• Dinata Y, Nugroho A, Haidar IA, Linkie M. 2008. Camera trapping rare and threatened avifauna in west-central Sumatra. Bird Conservation International 18: 30–37. doi: 10.1017/S0959270908000051
   Web of Science ®Google Scholar
• Drummond IM, Rautenbach S, Colyn RB. 2015. Flufftail surveys within the Bedford and Chatsworth wetlands, Ingula, South Africa. Unpublished report. Johannesburg: BirdLife South Africa.
   Google Scholar
• Fletcher RJ, Dhundale JA, Dean TF. 2000. Estimating non-breeding bird abundance in prairies: a comparison of two survey techniques. Journal of Field Ornithology 71: 321–329. doi: 10.1648/0273-8570-71.2.321
   Web of Science ®Google Scholar
• Gompper ME, Kays RW, Ray JC, Lapoint SD, Bogan DA, Cryan JR. 2006. A comparison of noninvasive techniques to survey carnivore communities in northeastern North America. Wildlife Society Bulletin 34: 1142–1151. doi: 10.2193/0091-7648(2006)34[1142:ACONTT]2.0.CO;2
   Web of Science ®Google Scholar
• Green RE. 1985. The management of lowland wet grasslands for breeding waders. Sandy: Royal Society for the Protection of Birds.
   Google Scholar
• Harmsen BJ. 2006. The use of camera traps for estimating abundance and studying the ecology of jaguars (Panthera onca). PhD thesis, University of Southampton, UK.
   Google Scholar
• Harmsen BJ, Foster RJ, Silver S, Ostro L, Doncaster CP. 2010. Differential use of trails by forest mammals and the implications for camera-trap studies: a case study from Belize. Biotropica 42: 126–133. doi: 10.1111/j.1744-7429.2009.00544.x
   Web of Science ®Google Scholar
• Haselmeyer J, Quinn JS. 2000. A comparison of point counts and sounds recording as bird survey methods in Amazonian Southeast Peru. The Condor 102: 887–893. doi: 10.1650/0010-5422(2000)102[0887:ACOPCA]2.0.CO;2
   Web of Science ®Google Scholar
• Hockey PAR, Dean WRJ, Ryan PG (eds). 2005. Roberts birds of southern Africa (7th edn). Cape Town: Trustees of the John Voelcker Bird Book Fund.
   Google Scholar
• Jansen PA, Forrester TD, McShea WJ. 2014. Protocol for cameratrap surveys of mammals at CTFS-ForestGEO sites. Ancon: Smithsonian Tropical Research Institute, Centre for Tropical Forest Science.
   Google Scholar
• Kelly MJ. 2008. Design, evaluate, refine: camera trap studies for elusive species. Animal Conservation 11: 182–184. doi: 10.1111/j.1469-1795.2008.00179.x
   Web of Science ®Google Scholar
• Kelly MJ, Holub EL. 2008. Camera trapping of carnivores: trap success among camera types and across species, and habitat selection by species, on Salt Pond Mountain, Giles County, Virginia. North-eastern Naturalist 15: 249–262. doi: 10.1656/1092-6194(2008)15[249:CTOCTS]2.0.CO;2
   Web of Science ®Google Scholar
• Kotze DC. 1998. An assessment of the wetlands that would be inundated by the proposed dam on the Bedford Farm, Free State Province. Environmental Impact Specialist Studies, Bramhoek Pumped Storage Scheme.
   Google Scholar
• MacKenzie DI, Royle JA. 2005. Designing occupancy studies: general advice and allocating survey effort. Journal of Applied Ecology 42: 1105–1114. doi: 10.1111/j.1365-2664.2005.01098.x
   Web of Science ®Google Scholar
• Masterson AMB. 1971. Snipe in Rhodesia. Honeyguide 65: 30–35.
   Google Scholar
• Mendelsohn JM, Sinclair JC, Tarboton WR. 1983. Flushing flufftails out of vleis. Bokmakierie 35(1): 9–11.
   Google Scholar
• Mucina L, Rutherford MC (eds). 2006. The vegetation of South Africa, Lesotho and Swaziland. Strelitizia 19. Pretoria: South African National Biodiversity Institute.
   Google Scholar
• Nelson JL, Scroggie MP. 2009. Remote cameras as a mammal survey tool: sdurvey design and practical considerations. Arthur Rylah Institute for Environmental Research unpublished report no. 2009/36. Heidelberg: Department of Sustainability and Environment.
   Google Scholar
• O’Brien TG. 2011. Abundance, density and relative abundance: a conceptual framework. In: O’Connell AF, Nichols JD, Karanth KU (eds), Camera traps in animal ecology: methods and analyses. Tokyo: Springer. pp 71–96.
   Google Scholar
• O’Connell AF, Nichols JD, Karanth KU (eds). 2011. Camera traps in animal ecology: methods and analyses. Tokyo: Springer.
   Google Scholar
• Ollis D, Snaddon K, Job N, Mbona N. 2013. Classification system for wetlands and other aquatic ecosystems in South Africa. Johannesburg: South African National Biodiversity Institute.
   Google Scholar
• Rovero F, Tobler M, Sanderson J. 2010. Camera trapping for inventorying terrestrial vertebrates. In: Eymann J, Degreef J, Hauser C, Monje JC, Samyn Y, VandenSpiegel D (eds), Manual on field recording techniques and protocols for all taxa biodiversity inventories and monitoring. Abc Taxa vol. 8(2). Brussels: Belgian National Focal Point to the Global Taxonomy Initiative. pp 100–128.
   Google Scholar
• Sanders MD, Maloney RF. 2002. Causes of mortality at nests of ground-nesting birds in the Upper Waitaki Basin, South Island, New Zealand: a 5-year video study. Biological Conservation 106: 225–236. doi: 10.1016/S0006-3207(01)00248-8
   Web of Science ®Google Scholar
• Schieck J. 1997. Biased detection of bird vocalizations affects comparisons of bird abundance among forested habitats. Condor 99: 197–190. doi: 10.2307/1370236
   Web of Science ®Google Scholar
• Silveira L, Jacomo ATA, Alexandre J, Diniz-Filho F. 2003. Camera trap, line transect census and track surveys: a comparative evaluation. Biological Conservation 114: 351–355. doi: 10.1016/S0006-3207(03)00063-6
   Web of Science ®Google Scholar
• South African Weather Service. 2016. Forecast for Maluti a Phofung represented by Van Reenen. Available at http://www.weathersa.co.za/citypages [accessed 30 June 2016].
   Google Scholar
• Srbek-Araujo AC, Chiarello AG. 2005. Is camera trapping an efficient method of surveying mammals in Neotropical forests? A case study in south-eastern Brazil. Journal of Tropical Ecology 21: 121–125. doi: 10.1017/S0266467404001956
   Web of Science ®Google Scholar
• Srbek-Araujo AC, Chiarello AG. 2013. Influence of cameratrap sampling design on mammal species capture rates and community structures in southeastern Brazil. Biota Neotropica 13(2): 51–62. doi: 10.1590/S1676-06032013000200005
   Web of Science ®Google Scholar
• Srbek-Araujo AC, Silveira LF, Chiarello AG. 2012. The Red-billed Currassow (Crax Blumenbachiii): social organisation, and daily activity patterns. Wilson Journal of Ornithology 124: 321–327. doi: 10.1676/11-054.1
   Google Scholar
• Taylor PB. 1994. The biology, ecology and conservation of four flufftail species Sarothrura (Aves: Rallidae). PhD thesis, University of Natal, Pietermaritzburg, South Africa.
   Google Scholar
• Taylor PB. 1997a. Redchested flufftail. In: Harrison JA, Allan DG, Underhill LG, Herremans M, Tree AJ, Parker V, Brown CJ (eds), The atlas of southern African birds, vol. 1. Johannesburg, BirdLife South Africa. pp 328–329.
   Google Scholar
• Taylor PB. 1997b. The status and conservation of rallids in South Africa: results of a wetland survey in 1995/1996. ADU Research Report no. 23. Cape Town: Avian Demographic Unit, University of Cape Town.
   Google Scholar
• Taylor MR, Peacock F, Wanless RM (eds). 2015. The Eskom Red Data Book of Birds of South Africa, Lesotho and Swaziland. BirdLife South Africa, Johannesburg, South Africa.
   Google Scholar
• Taylor PB, van Perlo B. 1998. Rails: a guide to the rails, crakes, galinules and coots of the world. Mountfield: Pica Press.
   Google Scholar
• Tobler MW, Carrillo-Percastegui SE, Pitman RL, Mares R, Powell G. 2008. An evaluation of camera traps for inventorying large-and medium-sized terrestrial rainforest mammals. Animal Conservation 11: 169–178. doi: 10.1111/j.1469-1795.2008.00169.x
   Web of Science ®Google Scholar
• Urban EK, Fry CH, Keith S (eds). 1986. The birds of Africa, vol. 2. London: Academic Press.
   Google Scholar
• Weckel M, Giuliano W, Silver S. 2006. Jaguar (Panthera onca) feeding ecology: distribution of predator and prey through time and space. Journal of Zoology 270: 25–30.
   Web of Science ®Google Scholar
• Wetland Consulting Services. Ltd. 2006. Braamhoek Pumped Storage Scheme: baseline study of the wetlands. Environmental Impact Specialist Studies, Bramhoek Pumped Storage Scheme.
   Google Scholar
• Whitefield AK, Blaber SJM. 1980. The diet of Atilax paludinosus (water mongoose) at St Lucia, South Africa. Mammalia 44: 315–318.
   Web of Science ®Google Scholar
• Wilson RR, Twedt DJ, Elliot AB. 2000. Comparison of line transects and point counts for monitoring spring migration in forested wetlands. Journal of Field Ornithology 71: 345–355. doi: 10.1648/0273-8570-71.2.345
   Web of Science ®Google Scholar
• Woog F, Renner S, Fjeldsa J. 2010. Tips for bird surveys and censuses in countries without existing monitoring schemes. In: Eymann J, Degreef J, Hauser C, Monje JC, Samyn Y, VandenSpiegel D (eds), Manual on field recording techniques and protocols for all taxa biodiversity inventories and monitoring. Abc Taxa vol. 8(2). Brussels: Belgian National Focal Point to the Global Taxonomy Initiative. pp 558–586.
   Google Scholar