New Records and Potential Distribution of the ant Gracilidris pombero Wild &amp; Cuezzo (Hymenoptera: Formicidae)

Koch, Elmo Borges de Azevedo; Correia, João Paulo Sales Oliveira; Menezes, Rodolpho S. T.; Silvestrini, Rafaella Almeida; Delabie, Jacques Hubert Charles; Vasconcelos, Heraldo L.

doi:10.13102/sociobiology.v65i3.2744

Cited by 2 publications

(7 citation statements)

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“…Song et al [ 31 ] modeled Solenopsis invicta (Hymenoptera: Formicidae) using maxent for current and future projected climatic conditions in China. Koch et al [ 32 ] implemented maxent and determined areas of highest suitability for Gracilidris pombero Wild & Cuezzo, 2006.…”

Section: Introductionmentioning

confidence: 99%

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

et al. 2022

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Climate change has been discussed as to exert shifts in geographical range of plants, animals or insect species by increasing, reducing or shifting its appropriate climatic habitat. Globally, Pakistan has been ranked at 5th position on the list of countries most vulnerable to climate change in 2020. Climate change has resulted in the losses of biodiversity and alteration in ecosystem as a result of depletion of natural habitats of species in Pakistan as well as in the world. Ants have been regarded as indicators of environmental change and ecosystem processes. Brachyponera nigrita (Emery, 1895) was reported for the first time from Pakistan (Pothwar region). Objective of our studies was to model geographic distribution of newly recorded ant species, B. nigrita based on two representative concentration pathways (RCP) (RCP4.5 and RCP8.5) for 2050s using maximum entropy model (Maxent) in Pakistan. In modeling procedure, 21occurrence records and 8 variables namely Bio4 (Temperature seasonality), Bio8 (Mean temperature of wettest quarter), Bio10 (Mean temperature of warmest quarter), Bio12 (Annual precipitation), Bio13 (Precipitation of wettest month), Bio15 (Precipitation seasonality), Bio17 (Precipitation of driest quarter) and Bio18 (Precipitation of warmest quarter) were used to determine the current and future distributions. Performance of the model was evaluated using AUC (area under curves) values, partial ROC, omission rates (E = 5%) and AICc (Model complexity).The results showed the average AUC value of the model was 0.930, which indicated that the accuracy of the model was excellent. The jackknife test also showed that Bio4, Bio18, Bio17 and Bio15 contributed 98% for the prediction of potential distribution of the species as compared to all other variables. Maxent results indicated that distribution area of B. nigrita under future predicted bioclimatics 2050 (RCP 4.5 and RCP8.5) would be increased in various localities of Pakistan as compared to its current distribution. In Pothwar region, moderately suitable and highly suitable areas of this species would increase by 505.932321km2and 572.118421km2as compared to current distribution under 2050 (RCP 4.5), while under 2050 (RCP 8.5), there would be an increase of 6427.2576km2and 3765.140493km2 respectively in moderately suitable and highly suitable areas of B. nigrita. This species was associated with termites, collembolans and larval stages of different insects. White eggs, creamy white pupae and many workers of this species were observed in a variety of habitats. Unknown nesting ecology, species identification characters supported with micrographs has been given which will help researchers for further ecological studies.

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Section: Introductionmentioning

confidence: 99%

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

et al. 2022

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“…We observed that, since 2006, correlative modeling studies with ants have increased while mechanistic studies have decreased considerably (Fig 3). In addition, more recent studies have used correlative modeling to infer potential areas of occurrence (Souza & Delabie, 2013;Cristiano et al, 2016;Simões-Gomes et al, 2017;Koch et al, 2018;Senula et al, 2019), and predict invasion (Bertelsmeier et al, 2015;Jung et al, 2017;Sung et al, 2018;Byeon et al, 2020). Fig 2 presents the frequency of all-purpose correlative modeling studies with Formicidae.…”

Section: Mechanistic Versus Correlative Approachesmentioning

confidence: 99%

“…Maxent (Phillips et al, 2006) is the most frequently used algorithm in studies on Formicidae, both to predict areas susceptible to invasion (Ward, 2007;Steiner et al, 2008;Roura-Pascual et al, 2009;Bertelsmeier et al, 2013;Kumar et al, 2015;Coulin et al, 2019), and to infer areas of occurrence/ habitat/ potential distribution (Solómon et al, 2008;Souza & Delabie, 2013;Cristiano et al, 2016;Simões-Gomes et al, 2017;Koch et al, 2018;Sánchez-Restrepo et al, 2019;Senula et al, 2019), as well as in two conservation studies (Dáttilo et al, 2012;Talavera et al, 2014). The GARP algorithm (Stockwell & Peters, 1999) has been used in some studies mainly to assess the risk of the ant L. humile invasion (Roura-Pascual et al, 2004;2006;2009), and was used once in a conservation study (Campiolo et al, 2015), and another time to identify species richness patterns (Chaladze, 2012).…”

Section: Identification Of Algorithmsmentioning

confidence: 99%

“…Of the 44 studies evaluated, 23 used only climate variables (see for example Chaladze, 2012;Diamond et al, 2012;Koch et al, 2018). The remaining (21) combined climatic variables with a set of further information, such as vegetation, topography, and soil temperature (Peterson & Nakazawa, 2007;Roura-Pascoal et al, 2009;Jenkins et al, 2011;Fitzgerald et al, 2012;Senula et al, 2019;Jung et al, 2021).…”

Section: Variables and Projectionsmentioning

confidence: 99%

“…A range of taxonomic studies by biogeographical regions (Ladino & Feitosa, 2020), new occurrences, and records (Dias & Lattke, 2019;Fernandes & Delabie, 2019;Franco, et al, 2019), invasive species (Chen & Adams, 2018), and diversity (Koch et al, 2020;Silva et al, 2020) can also be found. In addition, modeling distribution studies on Formicidae have gained space, under the following names and techniques: potential distribution modeling (Murphy & Breed, 2007;Koch et al, 2018), niche modeling (Peterson & Nakazawa, 2007), paleodistribution (Cristiano et al, 2016), and projections of future scenarios (Jung et al, 2017). All of these studies assess the potential distribution of species to infer information of several natures on biodiversity.…”

Section: Introductionmentioning

confidence: 99%

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Review of Distribution Modeling in Ant (Hymenoptera: Formicidae) Biogeographic Studies

et al. 2022

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The state of the art of Formicidae biogeographic studies using distribution modeling tools was reviewed. We aimed to evaluate how and for what purpose such tools were used in ant studies, as well as detecting modeling methods, algorithms, and variables selected for these studies. We analyzed papers published from 2001 to 2021 and focused on predicting invasion risks, conservation, and potential distribution of species. We also considered the mechanistic and correlative approaches, types of algorithms, and environmental variables. We observed that modeling is first used to predict invasion risks before conservation. The correlative approach was the most used, although it does not consider biotic or physiological aspects as the mechanistic approach does. The most used algorithm was Maxent, combining data set of occurrences with climatic variables. Nine studies used combinations of algorithms with consensual models. Research using modeling has been conducted more and more. However, it remains still incipient, mainly regarding conservation, as the current distribution of most of the Formicidae species is not well known. Although not frequently used in ant studies, distribution modeling represents an important approach for research in biogeography, ecology, and related areas. Certain perspectives could be useful, for example, for studying climatic changes, since possible variations in ant distributions, if anticipated, could suggest or guide further investigations or decision-making in public policies.

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New Records and Potential Distribution of the ant Gracilidris pombero Wild & Cuezzo (Hymenoptera: Formicidae)

Cited by 2 publications

References 32 publications

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan

Review of Distribution Modeling in Ant (Hymenoptera: Formicidae) Biogeographic Studies

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