Conservation status and protection of three Antillean endemic damselflies

Torres-Cambas, Yusdiel; Cabana-Otero, Martiño; Lorenzo-Carballa, M. Olalla; Cordero‐Rivera, Adolfo

doi:10.1007/s10841-016-9862-1

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…This approach was used to model the distribution of a rare odonate in relation to deforestation of the Amazon forest, informing which areas were at the most risk of habitat destruction and extirpation (De Marco et al ., 2015). Conservation status, as assessed by the International Union for Conservation of Nature criteria, for various endemic damselflies has been updated following extent of occurrence estimations from SDM (Almeida et al ., 2010; Torres‐cambas et al ., 2016; Rangel‐Sánchez et al ., 2018). Furthermore, field surveys guided by predictions from SDM for rare taxa have shown promise in detecting new populations, including those of a rare stonefly (Young et al ., 2019) and cryptic crayfish (Rhoden et al ., 2017).…”

Section: Introductionmentioning

confidence: 99%

Predicting the distributions of regional endemic dragonflies using a combined model approach

Boys

Siepielski

Smith

et al. 2020

Insect Conserv Diversity

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1. Climate warming is predicted to have large effects on insects, yet several data shortfalls, including distributional information, impede effective conservation strategies. 2. Knowledge of species distributions is a critical component for assessing conservation need but is often lacking for endemic or rare taxa, especially invertebrates. 3. One approach to better inform this gap is by using species distribution modelling (SDM) to predict suitable habitat and guide field surveys. 4. Here, we combine the predictions of two machine learning algorithms, maximum entropy and Random Forest, to estimate the current and future distributions of two endemic dragonflies of the Ozark-Ouachita Interior Highlands region in the southcentral United States. 5. Current suitable areas predicted by both algorithms largely overlapped for each species, but different environmental variables were most important for predicting their distributions. Field validation of these models resulted in new detections for both species showing their utility in guiding subsequent field surveys. 6. Future projections under two climate change scenarios support maintaining current suitable areas as these are predicted to be strongholds for these species. Our results suggest that combining outputs of multiple species distribution models is a useful tool for better informing the distributions of geographically limited or rare species.

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Section: Introductionmentioning

confidence: 99%

Predicting the distributions of regional endemic dragonflies using a combined model approach

Boys

Siepielski

Smith

et al. 2020

Insect Conserv Diversity

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“…We consider a narrow endemic species sensu Gentry (1986) when the species interpolated distribution range is equal to or less than five quadrats (5000 km 2 approximately) inside the grid. This limit of maximum distribution has been previously applied to delimit insect endemism ( Torres-Cambas et al 2016 , Grill et al 2002 , Mosconi et al 2014 , Bazelet et al 2016 ). To estimate the distribution of the narrow endemics, we propose a factor of 0.5 as the limit of the upper number of occurrences per grid ( Morawetz and Raedig 2007 ).…”

Section: Methodsmentioning

confidence: 99%

New distributional records for ants and the evaluation of ant species richness and endemism patterns in Mexico

Aguilar-Méndez¹,

Rosas‐Mejía²,

Vásquez‐Bolaños³

et al. 2021

BDJ

978

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Ants (Formicidae) in Mexico have usually been undersampled despite their ecological significance and their utility as environmental service providers and bioindicators. This study estimates the species richness and the narrow endemic species number of ants across Mexico. It also documents the presence of one species newly recorded in Mexico and 19 new state-based records of 14 species from central and north Mexico. No surveys have been performed in most of the localities where we report those records, suggesting the need for a higher sampling effort across the country. We present an ant species richness estimation and a narrow endemic ant species estimation in a grid of 0.5 degrees in Mexico. Stenamma schmitii is recorded for the first time from Mexico. Additionally, new state-based records of Azteca velox, Dorymyrmex insanus, Camponotus coruscus, Camponotus striatus, Formica propatula, Lasius latipes, Neivamyrmex melanocephalus, Neivamyrmex rugulosus, Syscia augustae, Atta texana, Cephalotes scutulatus, Crematogaster crinosa and Temnothorax andrei are recorded.

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“… The assessment of the conservation status of Cuban endemic species (e.g. 33 ). The development of proactive strategies for the protection of freshwater species under future climate change (e.g.…”

Section: Usage Notesmentioning

confidence: 99%

“…For example, the "Cuban-Romanian Biospeleological Expeditions", conducted during the www.nature.com/scientificdata www.nature.com/scientificdata/ 1960s, contributed strongly to the knowledge of Trichoptera 22 and freshwater Decapoda 23 and Coleoptera 24 . From 1990 to 2021 a series of studies conducted at the Department of Biology, Universidad de Oriente, Cuba or by researchers associated to this institution, on the fields of taxonomy and distribution 5,7,12,[25][26][27][28][29][30][31][32][33][34] , diversity of freshwater macroinvertebrate assemblages [35][36][37][38][39][40][41][42] and bio-monitoring 43 in rivers of central and eastern Cuba, contributed significantly to the number of records during this period.…”

Section: Data Recordsmentioning

confidence: 99%

A database of freshwater macroinvertebrate occurrence records across Cuba

et al. 2023

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In light of the ongoing freshwater biodiversity crisis, detailed knowledge regarding the spatial distribution of freshwater species is urgently required, especially in biodiversity hotspots. Here we present a database of georeferenced occurrence records of four freshwater invertebrate taxa groups across Cuba, namely flatworms (Platyhelminthes: Tricladida), insects (Ephemeroptera, Odonata, Hemiptera, Trichoptera, Coleoptera, Diptera), crabs and shrimps (Crustacea: Decapoda), and mollusks (Mollusca). We collated the geographic occurrence information from scientific literature, unpublished field records, museum collections and online databases. The database, comprising 6292 records of 457 species at 1075 unique localities, is organized in 32 fields that contain the information about the taxonomic classification of each recorded species, the sex and life stage of collected individuals; the geographic coordinates, location, author and date of the record and a reference to the original data source. This database provides an important basis towards an improved understanding of the spatial distribution of freshwater biodiversity in Cuba.

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Conservation status and protection of three Antillean endemic damselflies

Cited by 8 publications

References 22 publications

Predicting the distributions of regional endemic dragonflies using a combined model approach

Predicting the distributions of regional endemic dragonflies using a combined model approach

New distributional records for ants and the evaluation of ant species richness and endemism patterns in Mexico

A database of freshwater macroinvertebrate occurrence records across Cuba

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