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322 results for “Census”
Figure 17 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 17 Chlorophorus macaumensis macaumensis (Chevrolat, 1845): dorsal (A) and lateral (B) views of specimens observed on Coloane Heights on 28 Apr 2019 and 21 May 2020, respectively (photographs: LC).
Figure 13 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 13 Ceresium zeylanicum Yokoi, 2015: dorsal (A) and lateral (B) views of specimens observed on Great Taipa (6 May 2019) and on Coloane Heights (24 May 2020), respectively (photographs: A LC B Kit Chang).
Figure 1 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 1 Map of the Macau SAR showing its various components including the Peninsula, the islands of Taipa and Coloane, as well as the reclaimed lands of Cotai, the International Airport, and the Hong Kong – Zhuhai – Macau Bridge Port (adapted from https://www.britannica.com; used with permission).
Figure 21 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 21 Kuegleria annulicornis (Pic, 1935): dorsal (A) and lateral (B) views of specimen observed on Great Taipa Hill on 9 May 2019 (photographs: LC).
Figure 20 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 20 Stromatium longicorne (Newman, 1842): female dorsal (A) and male lateral (B) views of specimens observed at Coloane Village on 29 May 2020 (photographs: LC).
Figure 23 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 23 Pyrestes haematicus Pascoe, 1857: dorsal (A) and lateral (B) views of specimens observed at Coloane, Cheoc-Van (16 May 2019) and on Coloane Heights (18 Jun 2020), respectively (photographs: LC).
Figure 2 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 2 Examples of remaining pockets of subtropical evergreen forest in Macau A Guia Hill (Macau Peninsula) B Barra Hill (Macau Peninsula) C Great Taipa (Taipa) D Little Taipa (Taipa) E Coloane Heights (Coloane) F Ká-Hó Mountain (Coloane). Photographs: AWikiwand.comC JTM.co.mo B culturalheritage.mo C–E LC F Hio Lou Chang.
Figure 12 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 12 Ceresium sinicum ornaticolle Pic, 1907: dorsal (A) and lateral (B) views of specimens observed on Great Taipa (3 Mar 2019) and at the Hác-Sá Dam in Coloane (12 Apr 2020), respectively (photographs: A LC B Kit Chang).
Figure 15 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 15 Rhytidodera integra Kolbe, 1886: Dorsal aspect of the two specimens observed at Coloane Heights and on the Taipa Bay Wetland on 18 Jun 2020 (photographs: A Kit Chang B Eric Kwan).
Figure 16 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 16 Chlorophorus annularis (Fabricius, 1787): dorsal (A) and lateral (B) views of specimens observed at Macau, Barra (1 May 2019) and Coloane Village (30 May 2020), respectively (photographs: LC).
Figure 14 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 14 Trirachys indutus (Newman, 1842): dorsal (A) and lateral (B) views of specimen observed at Coloane Village on 27 Apr 2020 (photographs: LC).
Figure 11 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 11 Ceresium longicorne Pic, 1926: dorsal (A) and lateral (B) views of specimens observed on Coloane Heights on 24 May 2019 and 2 May 2020, respectively (photographs: A LC B Kit Chang).
Figure 10 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 10 Ceresium elongatum elongatum Matsushita, 1933: dorsal (A) and lateral (B) views of specimens observed on Great Taipa Hill (13 May 2019) and on Guia Hill (2 Jun 2020), respectively (photographs: A LC B Benny Kuok).
Figure 19 from: Lin M-Y, Perissinotto R, Clennell L (2021) Census of the longhorn beetles (Coleoptera, Cerambycidae and Vesperidae) of the Macau SAR, China. ZooKeys 1049: 79-161. https://doi.org/10.3897/zookeys.1049.65558
Figure 19 Perissus indistinctus Gressitt, 1940: dorsal (A) and lateral (B) views of specimens observed on Coloane Heights on 15 Nov 2020 and 12 Jul 2020, respectively (photographs: A Kit Chang B LC).
Census data of growth, mortality and size stage transitions of nests of leaf-cutting ant species before and after fires
<p>We hypothesized that fires will affect more the species that build external, easily flammable thatch mounds with superficial fungal gardens (<i>Acromyrmex lobicornis</i>) than colonies that build subterranean nests in the less-flammable bare-ground (<i>Acromyrmex striatus</i>). We use a stochastic matrix demographic model parameterized with 4 years of data in pre and post fire scenarios. This data set contain all the census data which from we build the matrix models.</p>
Figure 1 from: Perissinotto R, Miranda N, Raw J, Peer N (2014) Biodiversity census of Lake St Lucia, iSimangaliso Wetland Park (South Africa): Gastropod molluscs. ZooKeys 440: 1-43. https://doi.org/10.3897/zookeys.440.7803
Figure 1 - Map of the St Lucia estuarine lake, with position of main collection sites used in the study. Adapted from Peer et al. (2014).
Figure 3 from: Perissinotto R, Miranda N, Raw J, Peer N (2014) Biodiversity census of Lake St Lucia, iSimangaliso Wetland Park (South Africa): Gastropod molluscs. ZooKeys 440: 1-43. https://doi.org/10.3897/zookeys.440.7803
Figure 3 - Assimineidae sp. (A) and Assiminea cf. capensis (B): thick layer of snails washed up on the shoreline of Lister's Point at False Bay in July 2012 (Photo: Nelson AF Miranda).
Figure 4 from: Perissinotto R, Miranda N, Raw J, Peer N (2014) Biodiversity census of Lake St Lucia, iSimangaliso Wetland Park (South Africa): Gastropod molluscs. ZooKeys 440: 1-43. https://doi.org/10.3897/zookeys.440.7803
Figure 4 - Haminoea natalensis: Aggregation of egg masses spawned during September 2006 in the shallows of Catalina Bay, on the Eastern Shores of South Lake (Photo: Lynette Clennell).
Figure 2 from: Perissinotto R, Miranda N, Raw J, Peer N (2014) Biodiversity census of Lake St Lucia, iSimangaliso Wetland Park (South Africa): Gastropod molluscs. ZooKeys 440: 1-43. https://doi.org/10.3897/zookeys.440.7803
Figure 2 - Records of gastropod species collected at Lake St Lucia in relation to changes in salinity, water levels and mouth state during the period 1960-present. Dark gray bar indicates closed mouth, light gray bar indicates intermittent connection with the ocean. No continuous physico-chemical measurements are available for the period prior to 1960. Species codes: Aaf: Afrolittorina africana; Api: Alaba pinnae; Ama: Aplexa marmorata; Aca: Assiminea cf. capensis; Afc: Assimineidae sp. ("Assiminea" aff. capensis); Bfo: Bulinus forskalii; Bna: Bulinus natalensis; Btr: Bulinus tropicus; Ble: Bursatella leachii; Cla: Cassidula labrella; Cde: Cerithidea decollata; Cdi: Cerithium dialeucum; Ehe: Ergalatax heptagonalis; Hna: Haminoea natalensis; Jsu: Jujubinus suarezensis; Lgl: Littoraria coccinea glabrata; Lin: Littoraria intermedia; Lpa: Littoraria pallescens; Lsc: Littoraria scabra; Lsu: Littoraria subvittata; Lna: Lymnaea natalensis; Mli: Melampus lividus; Mpa: Melampus parvulus; Mse: Melampus semiaratus; Mtu: Melanoides tuberculata; Mbr: Murex brevispinus; Nkr: Nassarius kraussianus; Nga: Neritina gagates; Nna: Neritina natalensis; Opa: Oxyloma patentissima; Par: Phalium areola; Pco: Pseudosuccinea columella; Phi: Pterotrachea cf. hippocampus; Pbu: Purpura bufo; Soc: Siphonaria oculus; Sst: Stylocheilus striatus; Tgr: Tarebia granifera.
Drones, automatic counting tools and artificial neural networks in wildlife population censusing
<p>1. The use of a drone to count the flock sizes of 33 species of waterbirds during the breeding and non-breeding periods was investigated.</p> <p>2. In 96% of 343 cases, drone counting was successful. 18.8% of non-breeding birds and 3.6% of breeding birds exhibited adverse reactions: the former birds were flushed, whereas the latter attempted to attack the drone.</p> <p>3. The automatic counting of birds was best done with ImageJ/Fiji microbiology software – the average counting rate was 100 birds in 64 seconds.</p> <p>4. Machine learning using neural network algorithms proved to be an effective and quick way of counting birds – 100 birds in 7 seconds. However, the preparation of images and machine learning time is time-consuming, so this method is recommended only for large data sets and large bird assemblages.</p> <p>5. The responsible study of wildlife using a drone should only be carried out by persons experienced in the biology and behaviour of the target animals.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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