New records and potential geographic distribution of Elongated Caecilian, Ichthyophis elongatus Taylor, 1965 (Amphibia, Gymnophiona, Ichthyophiidae), endemic to West Sumatra, Indonesia

We present new records of Ichthyophis elongatus Taylor, 1965 in West Sumatra. These records extend the known distribution of the species which was previously only known from the type locality in Padang, West Sumatra. We assess the morphology and habitats of this species and estimate its distribution. Predicted distribution based on maximum entropy modeling suggests a highly suitable habitat for the species throughout the Barisan Mountains at 500–1000 m above sea level. Our models suggest swamps, paddy fields, and secondary forests that are 100–150 m from rivers as the highest possible habitats for the species. Further surveys in two predicted areas based on the models discovered new populations of the species.

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New records and geographic distribution map of Triatoma petrocchiae Pinto and Barreto, 1925 (Hemiptera: Reduviidae: Triatominae)

Check List ◽

10.15560/7.4.508 ◽

2011 ◽

Vol 7 (4) ◽

pp. 508 ◽

Cited By ~ 5

Author(s):

Lindemberg Caranha ◽

Rodrigo Gurgel-Gonçalves ◽

Rerilson Dias Ramalho ◽

Cleber Galvão

Keyword(s):

Geographic Distribution ◽

New Records ◽

First Record ◽

The State ◽

Distribution Map ◽

Potential Geographic Distribution

Triatoma petrocchiae (Hemiptera, Reduviidae, Triatominae) is reported from two localities in southeastern Ceará, Brazil. This represents the first record of the species in the state of Ceará, thus extending its known distribution. A distribution map was produced using the Maxent Method to update and predict its potential geographic distribution in Brazil.

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Description of the male of the spider Dubiaranea difficilis (Araneae: Linyphiidae), with new records and modeling of its potential geographic distribution

Zootaxa ◽

10.11646/zootaxa.2405.1.3 ◽

2010 ◽

Vol 2405 (1) ◽

pp. 55 ◽

Cited By ~ 3

Author(s):

GONZALO D. RUBIO ◽

EVERTON N. L. RODRIGUES ◽

LUIS E. ACOSTA

Keyword(s):

Geographic Distribution ◽

Potential Distribution ◽

New Records ◽

Heterogeneous Distribution ◽

Northwestern Area ◽

First Time ◽

Potential Geographic Distribution

The male of Dubiaranea difficilis (Mello-Leitão 1944) is described and illustrated for the first time. New geographic records of this species are provided, and its potential distribution is modeled using MAXENT. The actual and potential distribution of Dubiaranea difficilis proved to be much larger than the hitherto known records. This species inhabits at least in three ecoregional sectors in Argentina (northwestern area, central Sierras, and the Pampas), and is also likely that inhabits in Brazil and Bolivia. Possible causes of its wide and environmentally heterogeneous distribution are discussed.

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New records of Convolvulaceae species for the Ceará state and its potential geographic distribution in Northeast Brazil

Acta Brasiliensis ◽

10.22571/2526-4338275 ◽

2020 ◽

Vol 4 (1) ◽

pp. 30

Author(s):

Diego Santos ◽

Ketley Gomes Campos ◽

Marlene Feliciano Figueiredo ◽

Edson Gomes Moura Júnior ◽

Maria Teresa Buril

Keyword(s):

Atlantic Forest ◽

Geographic Distribution ◽

Ecological Niche ◽

Ecological Niche Modeling ◽

New Records ◽

Niche Modeling ◽

Northeast Brazil ◽

Diagnostic Characters ◽

Modeling Analysis ◽

Potential Geographic Distribution

This study reports six new records of Convolvulaceae for Ceará state, notheastern Brazil: Ipomoea aristolochifolia G.Don, Ipomoea calyptrata Dammer, I. cynanchifolia Meisn, I. longibracteolata Sim.-Bianch. & J. R. I. Wood, I. meyeri G. Don and Jacquemontia mucronifera (Choisy) Hallier f. Of these, I. longibracteolata and I. meyeri are new records for the Atlantic Forest and Caatinga, respectively. For each species registered are provided descriptions, taxonomic and ecological comments, illustrations or photos of diagnostic characters and an ecological niche modeling analysis in northeast Brazil.

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Coupling maximum entropy modeling with geotagged social media data to determine the geographic distribution of tourists

International Journal of Geographical Information Science ◽

10.1080/13658816.2018.1458989 ◽

2018 ◽

Vol 32 (9) ◽

pp. 1699-1736 ◽

Cited By ~ 7

Author(s):

Yingwei Yan ◽

Chiao-Ling Kuo ◽

Chen-Chieh Feng ◽

Wei Huang ◽

Hongchao Fan ◽

...

Keyword(s):

Social Media ◽

Maximum Entropy ◽

Geographic Distribution ◽

Social Media Data ◽

Maximum Entropy Modeling ◽

Media Data

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Predicting the Potential Global Distribution of Amblyomma americanum (Acari: Ixodidae) under Near Current and Future Climatic Conditions, Using the Maximum Entropy Model

Biology ◽

10.3390/biology10101057 ◽

2021 ◽

Vol 10 (10) ◽

pp. 1057

Author(s):

Delong Ma ◽

Xinchang Lun ◽

Chao Li ◽

Ruobing Zhou ◽

Zhe Zhao ◽

...

Keyword(s):

Maximum Entropy ◽

Geographic Distribution ◽

Greenhouse Gas Emission ◽

Information Criterion ◽

Climatic Conditions ◽

Amblyomma Americanum ◽

Entropy Model ◽

Climate Conditions ◽

Maxent Model ◽

Potential Geographic Distribution

Amblyomma americanum (the lone star tick) is a pathogen vector, mainly from eastern North America, that bites humans. With global integration and climate change, some ticks that are currently confined to a certain place may begin to spread out; some reports have shown that they are undergoing rapid range expansion. The difference in the potential geographic distribution of A. americanum under current and future climatic conditions is dependent on environment variables such as temperature and precipitation, which can affect their survival. In this study, we used a maximum entropy (MaxEnt) model to predict the potential geographic distribution of A. americanum. The MaxEnt model was calibrated at the native range of A. americanum using occurrence data and the current climatic conditions. Seven WorldClim climatic variables were selected by the jackknife method and tested in MaxEnt using different combinations of model feature class functions and regularization multiplier values. The best model was chosen based on the omission rate and the lowest Akaike information criterion. The resulting model was then projected onto the global scale using the current and future climate conditions modeled under four greenhouse gas emission scenarios.

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Using maximum entropy modeling to identify and prioritize red spruce forest habitat in West Virginia

10.2737/nrs-rp-23 ◽

2013 ◽

Cited By ~ 5

Author(s):

Nathan R. Beane ◽

James S. Rentch ◽

Thomas M. Schuler

Keyword(s):

West Virginia ◽

Maximum Entropy ◽

Red Spruce ◽

Spruce Forest ◽

Forest Habitat ◽

Maximum Entropy Modeling

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Ecological and Environmental Effects of Estuarine Wetland Loss Using Keyhole and Landsat Data in Liao River Delta, China

Remote Sensing ◽

10.3390/rs13020311 ◽

2021 ◽

Vol 13 (2) ◽

pp. 311

Author(s):

Hongyan Yin ◽

Yuanman Hu ◽

Miao Liu ◽

Chunlin Li ◽

Jiujun Lv

Keyword(s):

Heavy Metal ◽

Land Use ◽

Land Use Change ◽

Ecological Risk ◽

Potential Ecological Risk ◽

Wetland Loss ◽

Ecological Effects ◽

Paddy Fields ◽

Suitable Habitat ◽

Estuarine Wetland

An estuarine wetland is an area of high ecological productivity and biodiversity, and it is also an anthropic activity hotspot area, which is of concern. The wetlands in estuarine areas have suffered declines, which have had remarkable ecological impacts. The land use changes, especially wetland loss, were studied based on Keyhole and Landsat images in the Liao River delta from 1962 to 2016. The dynamics of the ecosystem service values (ESVs), suitable habitat for birds, and soil heavy metal potential ecological risk were chosen to estimate the ecological effects with the benefit transfer method, synthetic overlaying method, and potential ecological risk index (RI) method, respectively. The driving factors of land use change and ecological effects were analyzed with redundancy analysis (RDA). The results showed that the built-up area increased from 95.98 km2 in 1962 to 591.49 km2 in 2016, and this large change was followed by changes in paddy fields (1351.30 to 1522.39 km2) and dry farmland (189.5 to 294.14 km2). The area of wetlands declined from 1823.16 km2 in 1962 to 1153.52 km2 in 2016, and this change was followed by a decrease in the water area (546.2 to 428.96 km2). The land use change was characterized by increasing built-up (516.25%), paddy fields (12.66%) and dry farmland (55.22%) areas and a decline in the wetland (36.73%) and water areas (21.47%) from 1962–2016. Wetlands decreased by 669.64 km2. The ESV values declined from 6.24 billion US$ to 4.46 billion US$ from 1962 to 2016, which means the ESVs were reduced by 19.26% due to wetlands being cultivated and the urbanization process. The area of suitable habitat for birds decreased by 1449.49 km2, or 61.42% of the total area available in 1962. Cd was the primary soil heavy metal pollutant based on its concentration, accumulation, and potential ecological risk contribution. The RDA showed that the driving factors of comprehensive ecological effects include wetland area, Cd and Cr concentration, river and oil well distributions. This study provides a comprehensive approach for estuarine wetland cultivation and scientific support for wetland conservation.

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