Descripción
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.
Registros
Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 73 registros.
también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
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
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es Test Organization #1. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento-NoComercial (CC-BY-NC 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: 314c6fac-470d-47ef-962f-63e634b0df74. Test Organization #1 publica este recurso y está registrado en GBIF como un publicador de datos avalado por GBIF Secretariat.
Palabras clave
Birds; Timed species count; Kenyan coastal forests; Kwale; Kilifi; Forest Fragments
Contactos
- Originador ●
- Punto De Contacto
- Originador ●
- Punto De Contacto
- Proveedor De Los Metadatos ●
- Originador
- Proveedor De Los Metadatos ●
- Originador
- Originador ●
- Usuario
- Proveedor De Los Metadatos ●
- Originador
- Procesador
Cobertura geográfica
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.
| Coordenadas límite | Latitud Mínima Longitud Mínima [-90, -180], Latitud Máxima Longitud Máxima [90, 180] |
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Cobertura taxonómica
Birds observed via timed species count method within the 20 locations in Coastal Forest were identified to the species level.
| Class | Aves |
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| Orden | Accipitriformes, Apodiformes, Bucerotiformes, Caprimulgiformes, Columbiformes, Coraciiformes, Cuculiformes, Galliformes, Musophagiformes, Passeriformes, Piciformes, Psittaciformes, Strigiformes, Trogoniformes |
| Familia | Sturnidae, Estrildidae, Cisticolidae, Malaconotidae, Capitonidae, Trogonidae, Bucerotidae, Pycnonotidae, Alcedinidae, Turdidae, Nectariniidae, Platysteiridae, Cuculidae, Musophagidae, Picidae, Muscicapidae, Columbidae, Accipitridae, Monarchidae, Meropidae, Phoeniculidae, Nicatoridae, Oriolidae, Phasianidae, Psittacidae, Scotocercidae, Stenostiridae, Rhamphastidae, Ploceidae, Numididae, Coraciidae, Ciconiidae, Ardeidae, Jacanidae, Rallidae, Anatidae, Campephagidae, Indicatoridae, Upupidae, Motacillidae, Lybiidae, Dicruridae, Laniidae, Calyptomenidae, Apodidae, Strigidae, Caprimulgidae |
| Subfamilia | Lybiinae |
Cobertura temporal
| Fecha Inicial / Fecha Final | 1992-01-11 / 1994-09-22 |
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Datos del proyecto
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.
| Título | Raising the profile of data for the conservation of four forested African landscapes |
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| Identificador | BID-AF2020-140-REG |
| Fuentes de Financiación | 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 |
| Descripción del área de estudio | 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. |
| Descripción del diseño | 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. |
Personas asociadas al proyecto:
- Investigador Principal
Métodos de muestreo
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.
| Área de Estudio | 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. |
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| Control de Calidad | Species identification was done on site by a team of bird experts from the Ornithology Section, National Museums of Kenya. |
Descripción de la metodología paso a paso:
- 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.
Referencias bibliográficas
- 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
Metadatos adicionales
| Identificadores alternativos | https://ipt.gbif.org/resource?r=test-sampling-event-bird-marie |
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