EDP Foz Tua: Bat Habitats - Ecological & Compensatory Measures Monitoring Programs [2011-2017]

說明

資料紀錄

此資源sampling event的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 1,505 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

osta H, Nuno S, Mesquita S, Mascarenhas M, Marques A T, Coelho H, Braz L, Gonçalves R, Ferraz C, Batista S, Ribeiro S B, Lemos J, Santos P, Sousa D, Paula J, Oliveira J, Caetano M, Silva R, Monteiro B, Pereira P, Silva M, Ferreira C, Pereira F, Neves T, Magalhães J, Romão F, Augusto M, Carmo M, Santos J, Queirós L, Moreira M, Santos J, Múrias T (2018): EDP Foz Tua: Bat Habitats - Ecologial & Compensatory Measures Monitoring Programs [2011-2017]. v1. EDP - Energias de Portugal. Dataset/Samplingevent.

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 EDP - Energias de Portugal。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊，並指定以下之GBIF UUID: 5b345642-64b5-4115-86b7-ba64d8e2c15b。  EDP - Energias de Portugal 發佈此資源，並經由GBIF Portugal同意向GBIF註冊成為資料發佈者。

關鍵字

occurrence; Bats; observation; hibernation; reproduction; refuges; roosts

聯絡資訊

地理涵蓋範圍

The data were collected within a 5-km radius buffer around the lower valley of River Tua (Northeast Portugal), up to 45 km from the mouth, in the municipalities of Alijó, Carrazeda de Ansiães, Vila Flor, Mirandela and Murça.

分類群涵蓋範圍

The taxonomic coverage of this dataset spans 1 phylum, 1 class, 1 order, 4 families, 10 genus and 15 species positively identified. Additionally, a set of 9 potential species may be present in the 23 “species complexes” identified.

時間涵蓋範圍

計畫資料

The dataset contains records of bats (Chiroptera) collected in suitable foraging habitats along the lower valley of River Tua. Data were collected in the scope of the Ecological Monitoring Program (PME) and Program of Mitigation/Compensation Measures (PMC), promoted by EDP – Energias de Portugal, S.A. Data were collected between August 2011 and October 2017, during field visits to 57 sampling points, stratified by habitat, within a 5-km radius buffer around the lower valley of River Tua. The occurrence of the target taxa was documented through 8269 observation events. In total, 16 taxa were identified, 15 to the species rank and 5 to the genus rank. The 23 “species complexes” identified could potentially add 9 more species to the list. The most common species (>1000 records) were Pipistrellus pygameus (1288 records), P. kuhlii (1272), P. pipistrelus (1247) and Tadarida teniotis (1223). The “species complex” Pipistrellus pygmaeus/Miniopterus schreibersii, with 616 records was also relevant. A substantial number of records (643) could not be identified beyond the Order.

參與計畫的人員:

取樣方法

Sampling was designed to cover all suitable foraging habitats for bats in the study area. A stratified sampling procedure was used, with the number of samples allocated to each habitat in proportion to the area occupied and/or its significance for bats. A total of 57 sampling points was set in natural woodlands (10), forest plantations (mostly Eucalyptus and Pinus), (9) river margins (10), shrublands (9), orchards/olive orchards (6), vineyards (6) and dryland crops (7). Each point was visited 2-4 times per year in 2011-2014, and monthly (March - October) from 2014 to 2017. Acoustic sampling was made within ± 3 hours of sunset, beginning 30 minutes after it. Each point was sampled for 10 consecutive minutes. The detection of the specimens in flight was made with a bat detector (Pettersson Elektronik, D240X model), with a frequency range of 10-120 kHz. The detector was connected to an automatic digital recorder (model Sony ICD-PX312) which saved the recordings in a “Wave” format, at a frequency of 44 kHz and at an expanded mode of 10x, making them audible to the human ears while, at the same time, preserving the original acoustic characteristics. From 2011 to 2013 the analyses of bat sound records used the manual/traditional methodology based on the the software “Batsound Pro – Sound Analysis”, from Pettersson Elektronik. This software generates graphics (oscillograms, sonograms and power spectrums) that allow the identification of the detected species by comparing them with those available in reference bat sound libraries. The acoustic variables usually employed to manually identify the sounds are (1) the structure of the pulse, (2) the frequency of maximum energy (kHz), (3) the range of frequencies (kHz), (4) the pulse duration (ms), (5) the interval between pulses (ms), and (6) the pulse repetition rate (Hz). From 2014 onwards, a more automated and expeditious method based in a model developed by Silva et al. (2013) was employed for species identification. A semi-automatic program provided 19 diagnostic parameters of the pulses (16 spectral and 3 temporal parameters). Subsequently, a probabilistic model (Artificial Neural Networks, ANN) was run to compare these parameters with those of a reference database of more than 16000 individual pulses from 1400 individuals of 9 genera recorded in Continental Portugal. The ANN attributed the pulses to a species or group of species (phonic group or “species complex”), with an associated probability of certainty. The results of the classification model showed an average sensitivity of 95% and an average error of 4%. Only the classifications with a probability greater than 70% were considered correct. When the above threshold was not reached by the model, the records were analyzed by the manual/traditional method described above. The exact identification of the bat species by sound analysis is not always possible, due to problems in detectability and/or identifiability. In the context of this work, whenever it was not possible to perform the identification until the species, the binomials, multinomials or genera to which the identification was possible were considered to be present. Thus, the presence of all species constituting these phonic groups (or “species complexes”) was considered possible.

方法步驟描述:

1. To be completed

引用文獻

1. Silva, B, Jacinto, G, Infante, P, Barreiro, S & Alves, P (2013) In Maia, M, Campos, P & Duarte Silva, P (eds.): Identificação automatizada de morcegos através de modelos estatísticos. In Estatística : novos desenvolvimentos e inspirações. Edições SPE, Lisboa. pp.257-270

額外的詮釋資料