Occurrence dataset from the waterbird survey of the middle and lower Huai He floodplain, China in 2005 and 2006.
Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados.
A tabela de dados do núcleo contém 158 registros.
Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
We conducted surveys at 158 sites across 30 lakes and reservoirs in the middle and lower Huai River floodplain, Anhui and Jiangsu provinces, China.
| Coordenadas delimitadoras |
Sul Oeste [32,2, 116,2], Norte Leste [33,7, 119,5] |
A total of 569 waterbird records are documented in this occurrence dataset, belonging to 44 species, 11 families and 6 orders.
| Ordem |
Podicipediformes,
Anseriformes,
Suliformes,
Pelecaniformes,
Charadriiformes,
Gruiformes
|
| Data Inicial / Data final |
2005-12-09 / 2005-12-15 |
| Data Inicial / Data final |
2006-11-27 / 2006-12-13 |
Nenhuma descrição disponível
| Título |
Technology for Identifying Key Areas for Wildlife and Plant Assessment and Conservation |
| Financiamento |
Ministry of Science and Technology of China, The National Key Research and Development Program [grant number 2022YFF1301401]. |
The waterbirds species to be counted during the survey were defined according to Waterbird Population Estimates 3rd Edition (Wetlands International 2002), which is the document used by the Ramsar Convention for identifying wetlands containing internationally important concentrations of waterbirds.
| Área de Estudo |
The area surveyed consists of the lakes and reservoirs shown within Anhui and Jiangsu Province, extending over a distance of about 200 km upstream of Hongze Hu. All the lakes visited are connected by channels or rivers to the Huai He. |
| Controle de Qualidade |
Observers generally underestimate the numbers of waterbirds present when counting large flocks (Rappoldt et al. 1985). Underestimation is also compounded by the common problem of missing birds when counting over large wetland areas.
As very large concentrations of waterbirds were not encountered during this survey, it is believed that count accuracy (identification of species and numbers) was good. It is also believed that few birds were missed at the individual count sites.
At most lakes only part of the wetland could be surveyed and, therefore, counts for lakes are probably underestimates of numbers actually present. |
Descrição dos passos do método:
-
The count was conducted by one team of two experienced counters each using Zeiss 10X42 Victory roof prism binoculars and Leica Televid 77 telescopes, with 20-60X zoom eyepieces.
We used geo-referenced satellite images (15m/pixel) to select count sites and entered the coordinates into GPS units. This enabled us to reach the sites with minimum problems. Sometimes we could drive directly to the sites; on other occasions we hired a local truck or walked to the site.
On all mornings we aimed to arrive at the first count site at about 07.00 when it was just light enough to see birds. We were able to survey through to about 17.30, before it got too dark to see.
The ease with which we were able to reach wetland shores varied between lakes. In some cases there were dykes or roads around the wetland that allowed good views of potential waterbird habitat to be obtained, whilst the shorelines of other wetlands were difficult to reach which seriously limited our ability to adequately cover these in the available time.