A quantitative assessment of the vegetation types on the island of St. Eustatius, Dutch Caribbean

Andel, Tinde van; Hoorn, Berry van der; Stech, Michael; Arostegui, Saskia Bantjes; Miller, Jeremy A.

doi:10.1016/j.gecco.2016.05.003

Cited by 24 publications

(34 citation statements)

References 11 publications

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“…, , Van Andel et al . ). Furthermore, the crater of the Quill volcano on St. Eustatius harbors a unique type of evergreen forest (Stoffers , De Freitas et al .…”

Section: Methodsmentioning

confidence: 97%

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The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean

Eppinga

Pucko

2018

Biotropica

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In September 2017, Irma became the first recorded category 5 hurricane to hit the Caribbean Windward Islands. The second category 5, Maria, followed two weeks later. In November 2017, we assessed the structural impact of this disturbance on highly valued Caribbean forest ecosystems. We recorded the status of 935 tree stems on Saba and St. Eustatius in stands at different elevations. Tree damage was substantial on both islands, with 93 percent of stems being defoliated, 84 percent having lost primary and/or secondary branches and 36 percent having structural stem damage. Average tree mortality was 18 percent, with mortality being nearly twice as high on St. Eustatius than on Saba. Surprisingly, we found that neither individual stem size nor community size distributions mediated the forests’ response to the hurricanes. Our results show that these hurricanes comprised a density‐independent disturbance, which may become more common as the frequency of strong hurricanes is projected to increase.

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“…, , Van Andel et al . ). Furthermore, the crater of the Quill volcano on St. Eustatius harbors a unique type of evergreen forest (Stoffers , De Freitas et al .…”

Section: Methodsmentioning

confidence: 97%

“…, Van Andel et al . ). In the 60 yr before hurricanes Irma and Maria, a total number of 18 (for St. Eustatius) to 23 (for Saba) hurricanes came in proximity of the islands, of which seven caused considerable damage (De Freitas et al .…”

Section: Methodsmentioning

confidence: 97%

The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean

Eppinga

Pucko

2018

Biotropica

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“…Two plots (H1, H2) were situated in the Northern Hills area, eight (M1−M5, M7−M9) on and around The Quill in the southern part of the island and one (U1) in the central urban area. Details concerning the location and vegetation characteristics of the plot locations and the multi-taxon sampling approach are described in van Andel et al (2016) . Lichens were collected using a knife or hammer and chisel and subsequently air-dried and stored in paper bags.…”

Section: Methodsmentioning

confidence: 99%

An updated checklist of the lichens of St. Eustatius, Netherlands Antilles

Aptroot¹,

Stech²

2018

Self Cite

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In the course of a multi-taxon biodiversity inventory for the island of St. Eustatius, lichens were collected from 11 plots representing different vegetation types. From these collections, 126 lichen species are reported, 54 of which are new reports for St. Eustatius. Most species could be identified to species level based on morphological and chemical characters. In a few cases, mtSSU DNA sequences were generated for a preliminary molecular identification and future phylogenetic studies. In total, 263 identified lichen species are currently known from St. Eustatius, as well as some additional genera with yet unidentified species and lichenicolous fungi.

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“…In a 2015 expedition to St. Eustatius, researchers of Naturalis Biodiversity Center collected an extensive amount of flora and fauna (Andel et al 2016). During this expedition, researchers also collected a considerable number of ant samples, now stored at Naturalis Biodiversity Center, in Leiden, the Netherlands.…”

Section: Methodsmentioning

confidence: 99%

Taxonomic Classification of Ants (Formicidae) from Images using Deep Learning

Boer

Vos

2018

Preprint

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The well-documented, species-rich, and diverse group of ants (Formicidae) are important 1 ecological bioindicators for species richness, ecosystem health, and biodiversity, but ant 2 species identification is complex and requires specific knowledge. In the past few years, 3 insect identification from images has seen increasing interest and success, with processing 4 speed improving and costs lowering. Here we propose deep learning (in the form of a 5 convolutional neural network (CNN)) to classify ants at species level using AntWeb 6 images. We used an Inception-ResNet-V2-based CNN to classify ant images, and three 7 shot types with 10,204 images for 97 species, in addition to a multi-view approach, for 8 training and testing the CNN while also testing a worker-only set and an AntWeb 9 protocol-deviant test set. Top 1 accuracy reached 62% -81%, top 3 accuracy 80% -92%, 10 and genus accuracy 79% -95% on species classification for different shot type approaches. 11The head shot type outperformed other shot type approaches. Genus accuracy was broadly 12 similar to top 3 accuracy. Removing reproductives from the test data improved accuracy 13 only slightly. Accuracy on AntWeb protocol-deviant data was very low. In addition, we 14 make recommendations for future work concerning image threshold, distribution, and 15 quality, multi-view approaches, metadata, and on protocols; potentially leading to higher 16 accuracy with less computational effort. BOER & VOS

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A quantitative assessment of the vegetation types on the island of St. Eustatius, Dutch Caribbean

Cited by 24 publications

References 11 publications

The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean

The impact of hurricanes Irma and Maria on the forest ecosystems of Saba and St. Eustatius, northern Caribbean

An updated checklist of the lichens of St. Eustatius, Netherlands Antilles

Taxonomic Classification of Ants (Formicidae) from Images using Deep Learning

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