https://ipt.gbif.org/resource?r=test-sampling-event-bird-marie Timed species count birds' data of the Kenyan Coastal Forests, 1992 - 1994 Leon Bennun The Biodiversity Consultancy Ltd, Cambridge Chief Scientist
Cambridgeshire GB
leon@thebiodiversityconsultancy.com
Edward Waiyaki Kenya Marine and Fisheries Research Institute Research Scientist
Silos Road, English Point, Mkomani Mombasa Mombasa P. O. Box 81651 - 080100 KE
ewaiyaki@kmfri.go.ke
Judith Ochieng A Rocha Kenya Project Coordinator, Department of Science and Conservation
Watamu Malindi P.O.Box 80202 KE
+254704843754 judith.ochieng@arocha.org
Maryanne Njambi National Museums of Kenya Data Clerk, Ornithology Section, Zoology Dept.,
Museum Hill Road Nairobi Nairobi 40658 - 00100 KE
+254718374256 njambiwaceke@gmail.com
Esther Mwangi National Museums of Kenya Research Scientist, Zoology Dept.,
Museum Hill Road Nairobi Nairobi 40658 - 00100 KE
ewmwangi@museums.or.ke
Peter Njoroge National Museums of Kenya Head, Ornithology Section, Zoology Dept.,
Museum Hill Road Nairobi Nairobi 40658 - 00100 KE
+254724521770 pnjoroge@museums.or.ke
Peter Njoroge National Museums of Kenya Head, Ornithology Section, Zoology Dept.,
Museum Hill Road Nairobi Nairobi 40658 - 00100 KE
+254724521770 pnjoroge@museums.or.ke
Judith Ochieng A Rocha Kenya Project Coordinator, Department of Science and Conservation
Watamu Malindi P. O. Box 80202 KE
+254704843754 judith.ochieng@arocha.org
Maryanne Njambi National Museums of Kenya Data Clerk, Ornithology Section, Zoology Dept.,
Museum Hill Road Nairobi Nairobi P. O. Box 40658 - 00100 KE
+254718374256 njambiwaceke@gmail.com
Esther Mwangi ewmwangi@museums.or.ke user Lawrence Monda National Museums of Kenya ICT Manager
40658 Nairobi Nairobi 00100 KE
lmonda@museums.or.ke processor
2023-05-03 eng The biological importance and uniqueness of East African coastal forests is widely recognized; they form an Endemic Bird Area. Important remnants of this fragmented habitat occur on the southern Kenyan coast, but their avifauna has been little studied before 1992. In January 1992 to September 1994, the avifauna of 20 South Coast Forest fragments were systematically assessed using mist-netting, timed species counts and direct observations. Sixty forest-dependent bird species were recorded, amongst them three that are globally threatened (Sokoke Pipit Anthus sokokensis, Spotted Ground-thrush Geokichla guttata, East Coast Akalat Sheppardia gunningi) three that are near-threatened (Southern Banded Snake Eagle Circaetus fasciolatus, Fischer’s Turaco Tauraco fischeri, Plain-backed Sunbird Anthrepres reichenowi) and four that are ‘restricted-range’ (Fischer’s Turaco, Sokoke Pipit, Mombasa Woodpecker Campethera mombassica, Uluguru Violet-backed Sunbird Anthreptes neglectus). This dataset gives a baseline information on the birds recorded using the timed species count method in 20 forests fragment including: Timbwa, Waa, Kinondo, Diani, Teleza, Mtswakara, Gandini, Muhaka, Mrima,Buda, Gongoni, Marenje, Maluganji ,Shimba Hills, Arabuko Sokoke, Lunguma, Phungi wetland,Ukunda, Chale and Gonja. The dataset contains 2055 entries. The data were formatted according to the Darwin Core Standards by A Rocha Kenya before publishing through the IPT at the National Museums of Kenya, Nairobi. Birds Timed species count Kenyan coastal forests Kwale Kilifi Forest Fragments GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License. The timed species count was carried out in 20 forest fragments falling under two counties Kilifi and Kwale in the southern Kenyan coast. These forest fragments included: Timbwa, Waa, Kinondo, Diani, Teleza, Mtswakara, Gandini, Muhaka, Mrima,Buda, Gongoni, Marenje, Maluganji ,Shimba Hills,Arabuko Sokoke,Lunguma, Phungi wetland,Ukunda, Chale and Gonja. -180 180 90 -90 1992-01-11 1994-09-22 Birds observed via timed species count method within the 20 locations in Coastal Forest were identified to the species level. class Aves family Sturnidae family Estrildidae family Cisticolidae family Malaconotidae family Capitonidae family Trogonidae family Bucerotidae family Pycnonotidae family Alcedinidae family Turdidae family Nectariniidae family Platysteiridae family Cuculidae family Musophagidae family Picidae family Muscicapidae family Columbidae family Accipitridae family Monarchidae family Meropidae family Phoeniculidae family Nicatoridae family Oriolidae family Phasianidae family Psittacidae family Scotocercidae family Stenostiridae family Rhamphastidae subfamily Lybiinae family Ploceidae family Numididae family Coraciidae family Ciconiidae family Ardeidae family Jacanidae family Rallidae family Anatidae family Campephagidae family Indicatoridae family Upupidae family Motacillidae family Lybiidae family Dicruridae family Laniidae family Calyptomenidae family Apodidae family Strigidae family Caprimulgidae order Accipitriformes order Apodiformes order Bucerotiformes order Caprimulgiformes order Columbiformes order Coraciiformes order Cuculiformes order Galliformes order Musophagiformes order Passeriformes order Piciformes order Psittaciformes order Strigiformes order Trogoniformes unkown Leon Bennun The Biodiversity Consultancy Ltd Chief Scientist
Cambridge Cambridgeshire GB
leon@thebiodiversityconsultancy.com
Edward Waiyaki Kenya Marine and Fisheries Research Institute Research Scientist
Silos Road, English Point, Mkomani Mombasa Mombasa P. O. Box 81651 - 080100 KE
ewaiyaki@kmfri.go.ke
Eight days were spent in each fragment during the survey. A combination of modified Timed Species Counts (TSCs) (Pomeroy 1992), equivalent to ‘timed transects’ (Bennun & Waiyaki 1993) and ad hoc observations were used to survey the aerial, canopy and mid-canopy species, while mist-netting was used for the shy and skulking undergrowth species. During timed transects, an observer walked steadily for a set period of time (40 minutes) along a trail, recording each time a bird was seen or heard above a set height (3 m) and within a set distance (20 m) from his position. All timed transects (24 per site) were conducted between 06h00 and 10h00 in the morning, a time when birds are most active. The survey was undertaken in 20 South Coastal Forest fragments between Mombasa town and Tanzanian border. These fragments included: Timbwa, Waa, Kinondo, Diani, Teleza, Mtswakara, Gandini, Muhaka, Mrima,Buda, Gongoni, Marenje, Maluganji ,Shimba Hills, Arabuko Sokoke, Lunguma, Phungi wetland, Ukunda, Chale and Gonja. A combination of modified Timed Species Counts (TSCs) (Pomeroy 1992), equivalent to ‘timed transects’ (Bennun & Waiyaki 1993) and ad hoc observations were used to survey the aerial, canopy and mid-canopy species, while mist-netting was used for the shy and skulking undergrowth species. This dataset contains birds recorded using the Time species count method. Species identification was done on site by a team of bird experts from the Ornithology Section, National Museums of Kenya. Raising the profile of data for the conservation of four forested African landscapes Colin Jackson principalInvestigator Judith Ochieng This project seeks to protect the important forests of each landscape notably Atewa Forest (Ghana), the Forests of the Kwande and Oban-Liku (Nigeria), West Bugwe (Uganda) and the coastal forests and kayas of Kenya which are all, at least in part, of international conservation importance. Mobilising, sharing, using biodiversity data lies at the heart of A Rocha’s interventions informing, for example, our current campaign to ‘Save the Atewa Forest’ in Ghana, our strategy to protect Kenya’s coastal forests and forest restoration ambitions in Uganda. Yet there is still a wealth of data “locked-up” in collections and reports which, if digitised and published on GBIF, could be used in decisions both today and in the future. As a regional initiative, this project realises a rare chance to bring together regional partners to build capacity in digitising critical biodiversity data and put it to good use to conserve threatened Forest biodiversity. Collection of this dataset was funded by The Overseas Development Administration (UK) Publication of this dataset was funded by the JRS Biodiversity Foundation https://www.gbif.org/project/BID-AF2020-140-REG/raising-the-profile-of-data-for-the-conservation-of-four-forested-african-landscapes The Kenyan coastal mainland generally consists of plains near the ocean which give way to plateaux and then to ranges further inland (Hawthorne 1993). Forests have developed on plains, plateaux and intrusions. Geologically, pale lagoonal sands and coral dominate the lower plains, merging into red Sandstones before giving way to shales and sandstones on the plateau (Miyata & Saka 1979). The ranges are Duruma sandstone dominated with specks of alkaline igneous intrusions (Hawthorne 1993). Rainfall in areas supporting forest varies in monthly distribution and total amount from around 1 000-1 500 mm annually (Glover et al. 1954). 20 forest fragments scattered along the South Coast between Mombasa town and the Tanzanian border were studied. Coastal forests are diverse in structure and floral composition. For convenience, the forests were classified into three broad categories, based on overall appearance: high, low and intermediate. High forests contained a substantial proportion of tall trees, while low forests were often scrubby, with large trees rare and scattered. These categories roughly correspond with a similar ranking of moisture availability. The 20 forests fragments included:Teleza,Muhaka,Mrima,Buda,Gongoni, Arabuko Sokoke and Shimba Hills classified as tall,Timbwa,Kinondo,Diani ,lunguma,Chale, Ukunda and Marenje classified as intermediate, Waa,Mtswakara,Gandini, Chale, Phungi wetland forest and Maluganji classified as low. The TSCs procedure followed Bunnun&Waiyaki (1993). Every time a new bird species was detected during count, the time was recorded, together with an indication of whether the detection was by sight or sound, whether the bird was within 25M of observer and if so, whether it was above 3 m from ground.
2022-11-25T08:37:08.479+00:00 dataset Bennun L, Waiyaki E, Ochieng J, Njambi M, Mwangi E, Njoroge P (2023): Timed species count birds' data of the Kenyan Coastal Forests, 1992 - 1994. v1.5. National Museums of Kenya. Dataset/Samplingevent. http://ipt.museums.or.ke/ipt/resource?r=tsc_birds&v=1.5 Bennun, L.A. & Waiyaki, E.M. 1993. Using timed species-counts to compare avifaunas in the Mau Forests, south-west Kenya. Proc. Pan-Afr. Om. Congr. 8: 366. Glover, J., Robinson, P. & Henderson, J.P. 1954. Provisional maps of the reliability of annual rainfall in East Africa. Quarterly Review of the Meterological Society 80: 607. Hawthorne, W.D. 1993. East African coastal forest botany. In: Lovett J.C., & Wasser, S.K. (eds.). Biogeography & ecology of the rainforests of Eastern Africa. Cambridge: Cambridge University Press, 57-102. ICBP 1992. Putting biodiversity on the map: Priority Areas for Global Conservation. Cambridge: ICBP. Miyata, T. & Saka, Y. 1979. Deformed cross-lamination in the Karoo system, near Mombasa, Kenya. 4" Preliminary report, African Studies, Nagoya University, 63-7 1. Pomeroy, D. 1992. Counting Birds. AWF Technical Handbook no. 6. Nairobi: African Wildlife Foundation http://ipt.museums.or.ke/ipt/logo.do?r=isoptera_i https://ipt.gbif.org/resource?id=test-sampling-event-bird-marie/v1.7.xml