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
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https://ipt.gbif.org/resource?id=test-sampling-event-bird-marie/v1.7.xml