Distribution Modeling of the Caucasian Rock Agama Paralaudakia caucasia (Eichwald, 1831), (Sauria: Agamidae) Based on an Updated Data Set

2021 ◽  
Vol 28 (3) ◽  
pp. 170-174
Author(s):  
Natalia Borisovna Ananjeva ◽  
Eugeny Golynsky ◽  
Lyudmila Mazanaeva
Keyword(s):  
Potential Distribution ◽  
New Records ◽  
Distribution Model ◽  
Data Set ◽  
The Caucasus ◽  
Distribution Modeling ◽  
Eastern Iran ◽  
North Eastern ◽  
Suitable Habitats

We present results of analysis and predictions of the potential distribution of the Caucasian rock agama Paralaudakia caucasia (Eichwald, 1831), based on an updated data set and using a distribution model generated with software Maxent (www.cs.princeton.edu/~schapire/maxent). The model was based on an updated data set of 238 localities, including 74 new records from Daghestan and Tajikistan. According to the generated model, the most suitable habitats of the Caucasian rock agama Paralaudakia caucasia are located in the Caucasus (southeastern Ciscaucasia and eastern Transcaucasia), south Turkmenistan and north-eastern Iran.

scholarly journals On the taxonomy of Latonigena auricomis (Araneae, Gnaphosidae), with notes of geographical distribution and natural history

2013 ◽  
Vol 103 (1) ◽  
pp. 66-71 ◽  
Author(s):  
Carolina Jorge ◽  
Nicolás López Carrión ◽  
Cristian Grismado ◽  
Miguel Simó
Keyword(s):  
Natural History ◽  
Geographical Distribution ◽  
Potential Distribution ◽  
New Records ◽  
Neotropical Region ◽  
Distribution Model ◽  
First Time

The male of Latonigena auricomis Simon, 1893 is described for the first time and the female is redescribed. New records are provided for Argentina, Brazil and Uruguay. Notes on the natural history and a potential distribution model of the species are presented in the Neotropical Region.

scholarly journals Predicting the potential distribution of striped hyena Hyaena hyaena in Iran

2019 ◽  
Vol 29 (2) ◽  
pp. 109-114
Author(s):  
Amirhossein Dadashi-Jourdehi ◽  
Bahman Shams Esfandabad ◽  
Abbas Ahmadi ◽  
Hamid Reza Rezaei ◽  
Hamid Toranj-Zar
Keyword(s):  
Potential Distribution ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Maxent Model ◽  
Mountainous Regions ◽  
Eastern Iran ◽  
Suitable Habitats ◽  
Striped Hyena ◽  
Management Priorities ◽  
Hyaena Hyaena

Predictive potential distribution modelling is crucial in outlining habitat usage and establishing conservation management priorities. Species distribution models estimate the relationship between species occurrences and environmental and spatial characteristics. Herein, we used maximum entropy distribution modelling (MaxEnt) for predicting the potential distribution of the striped hyena Hyaena hyaena in the entire country of Iran, using a number of occurrence records (i.e. 118) and environmental variables derived from remote sensing. The MaxEnt model had a high success rate according to test AUC scores (0.97). Our results are congruent with previous studies, suggesting that mountainous regions in northern and western Iran and the plain regions in central and eastern Iran are suitable habitats for H. hyaena.

scholarly journals Geographical distribution and potential geographical range of the Red Skink Scincella assata (Cope, 1864) (Squamata, Scincidae) in El Salvador

Check List ◽  
2021 ◽  
Vol 17 (1) ◽  
pp. 283-288
Author(s):  
Antonio Esaú Valdenegro-Brito ◽  
Nestor Herrera-Serrano ◽  
Uri Omar García-Vázquez
Keyword(s):  
El Salvador ◽  
Geographical Distribution ◽  
Potential Distribution ◽  
New Records ◽  
Geographical Range ◽  
Distribution Modeling ◽  
Scientific Collections ◽  
First Time

Scincella assata (Cope, 1864) is known from eight departments from El Salvador. Based on recent fieldwork and research in scientific collections and databases, we report 12 new records of S. assata from the country, bringing the total number of verified occurrences to 40. Scincella assata is recorded for first time in the departments of Morazan and Usulatán. Additionally, we conducted potential distribution modeling of S. assata. Results from the distribution modeling suggest the presence of this species in all 14 departments of El Salvador, four of which currently lack verified records.

scholarly journals New records of long-legged flies (Diptera, Dolichopodidae) from Central and North-Eastern Iran

2017 ◽  
Vol 3 (4) ◽  
pp. 99 ◽  
Author(s):  
I. Ya. Grichanov ◽  
A. Ahmadi ◽  
O. E. Kosterin
Keyword(s):  
New Records ◽  
Eastern Iran ◽  
North Eastern

scholarly journals Distribution modeling of Psellogrammus kennedyi (Eigenmann, 1903) and new records in the Lower Paranapanema River, Brazil

Check List ◽  
2021 ◽  
Vol 17 (5) ◽  
pp. 1277-1284
Author(s):  
Lucas Ribeiro Jarduli ◽  
Alan Deivid Pereira ◽  
Diego Azevedo Zoccal Garcia ◽  
João Daniel Ferraz ◽  
Iago Vinicios Geller ◽  
...  
Keyword(s):  
Environmental Variables ◽  
Native Species ◽  
Potential Distribution ◽  
New Records ◽  
Preventive Measure ◽  
Prediction Modeling ◽  
Efficient Tool ◽  
Distribution Modeling ◽  
First Time ◽  
Control And Eradication

Understanding the potential distribution of non-native species can be an important tool in preventing biological invasions. We recorded for the first time Psellogrammus kennedyi, a small non-native characiform, in the Lower Paranapanema River, Brazil. According to environmental variables and prediction modeling, the species presents high potential distribution in the Upper Paraná river basin. The model used herein is an efficient tool to determine where non-native species may be able to establish. This approach can be used as a preventive measure, once the control and eradication measures are often ineffective and uneconomical.

scholarly journals Predicting the potential distributions of Senecio vulgaris L. in China

2015 ◽  
Author(s):  
Dandan Cheng ◽  
Lin Xu
Keyword(s):  
Potential Distribution ◽  
Western China ◽  
Distribution Model ◽  
Climate Variables ◽  
Alien Plant ◽  
Senecio Vulgaris ◽  
Occurrence Data ◽  
North Eastern ◽  
Global Data ◽  
Occurrence Records

Predicting potential distribution for alien plants by species distribution model (SDM, or Ecological Niche Model) using occurrence data and habitat environmental variables plays an important role in management of the invasive risk by an alien plant. Common groundsels (Senecio vulgaris, Asteracea), native in Eurasia and North Africa, has been a cosmopolitan weed in temperature and also listed as one of invasive plants in China. We predict the potential distribution of this species in the world and in China particularly in Maxent (maximum entropy) models by using global occurrence records of S. vulgaris and the associated climate variables. The occurrence data were collected from the online databases, Global Biodiversity Information Facility database (GBIF), Chinese Virtual Herbarium database (CVH), and also from field work in China. The climate variables were download from WorldClim (http://www.worldclim.org). The occurrence records showed that S. vulgaris is present in 16 provinces or regions in north – eastern, south – western, central and north China, and almost not present in south – eastern, north – western China. The mapping of S. vulgaris potential distribution is diagonally across China, including the north – eastern, south – western China, and the cool area between the two regions. Analysis of the contribution and importance of climatic factors in the prediction model indicated that S. vulgaris adapts to the climate in humid and cool area in China (annual mean temperature ranges 2.4 ~ 17.5 ℃, and annual precipitation ranges 550 ~ 1500 mm). It is suggested that special attention should be paid to the plain in NE China and Shandong Peninsula, Yungui Plateau, the cool mountain area around Sichuan basin, in western Hubei, southern Shaanxi, Shanxi and around Beijing in order to manage the invasion risk by S. vulgaris. The better performance of the model built by using occurrence data in China than that by using the global data in relation the predict outcome in China imply that it is might be better to use regional data than the global data when predict potential distribution for an alien plant with long invasive history in study area.

scholarly journals Predicting the potential distributions of Senecio vulgaris L. in China

2015 ◽  
Author(s):  
Dandan Cheng ◽  
Lin Xu
Keyword(s):  
Potential Distribution ◽  
Western China ◽  
Distribution Model ◽  
Climate Variables ◽  
Alien Plant ◽  
Senecio Vulgaris ◽  
Occurrence Data ◽  
North Eastern ◽  
Global Data ◽  
Occurrence Records

Predicting potential distribution for alien plants by species distribution model (SDM, or Ecological Niche Model) using occurrence data and habitat environmental variables plays an important role in management of the invasive risk by an alien plant. Common groundsels (Senecio vulgaris, Asteracea), native in Eurasia and North Africa, has been a cosmopolitan weed in temperature and also listed as one of invasive plants in China. We predict the potential distribution of this species in the world and in China particularly in Maxent (maximum entropy) models by using global occurrence records of S. vulgaris and the associated climate variables. The occurrence data were collected from the online databases, Global Biodiversity Information Facility database (GBIF), Chinese Virtual Herbarium database (CVH), and also from field work in China. The climate variables were download from WorldClim (http://www.worldclim.org). The occurrence records showed that S. vulgaris is present in 16 provinces or regions in north – eastern, south – western, central and north China, and almost not present in south – eastern, north – western China. The mapping of S. vulgaris potential distribution is diagonally across China, including the north – eastern, south – western China, and the cool area between the two regions. Analysis of the contribution and importance of climatic factors in the prediction model indicated that S. vulgaris adapts to the climate in humid and cool area in China (annual mean temperature ranges 2.4 ~ 17.5 ℃, and annual precipitation ranges 550 ~ 1500 mm). It is suggested that special attention should be paid to the plain in NE China and Shandong Peninsula, Yungui Plateau, the cool mountain area around Sichuan basin, in western Hubei, southern Shaanxi, Shanxi and around Beijing in order to manage the invasion risk by S. vulgaris. The better performance of the model built by using occurrence data in China than that by using the global data in relation the predict outcome in China imply that it is might be better to use regional data than the global data when predict potential distribution for an alien plant with long invasive history in study area.

A contribution to the scelionid wasps (Hymenoptera: Scelionidae) from some regions of Eastern Iran

2011 ◽  
Vol 20 (2) ◽  
pp. 299-304 ◽  
Author(s):  
N. Samin ◽  
H. Ghahari ◽  
E. Koçak ◽  
Gh.R. Radjabi
Keyword(s):  
New Records ◽  
Eastern Iran

The Scelionidae were studied in some regions of Eastern Iran. In total 23 species from 7 genera were collected, among which two species, Eumicrosoma phaeax (Nixon, 1938) and Sparasion punctatissimum Kieffer, 1906, are new records for Iran.

Estimation of sediment load and erosion of different geological units: A case study from a basin of north-eastern Iran

2021 ◽  
Vol 18 (6) ◽  
pp. 1591-1608
Author(s):  
Maryam Tajbakhshian ◽  
Abolfazl Mosaedi ◽  
Mohamad Hosein Mahmudy Gharaie ◽  
Sayyed Reza Moussavi Harami
Keyword(s):  
Sediment Load ◽  
Eastern Iran ◽  
North Eastern ◽  
Geological Units
Sign in / Sign up

Export Citation Format

Share Document