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 Predicting the potential distribution of striped hyena Hyaena hyaena in Iran

2020 ◽  
Vol 150 ◽  
Author(s):  
Amirhossein Dadashi-Jourdehi ◽  
Bahman Shams-Esfandabad ◽  
Abbas Ahmadi ◽  
Hamid Reza Rezaei ◽  
Hamid Toranj-Zar
Keyword(s):  
Potential Distribution ◽  
High Rate ◽  
Suitable Habitat ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Maxent Model ◽  
Eastern Iran ◽  
Striped Hyena ◽  
Management Priorities ◽  
Hyaena Hyaena

Predictive potential distribution modelling is crucial in outlining habitat usage and establishing conservation management priorities. Association among species occurrence and environmental and spatial characteristics has been calculated with species distribution models. Herein, we used maximum entropy distribution modelling (MaxEnt) for predicting the potential distribution of 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 showed a high rate of success according to AUC test scores (0.97). Our results are roughly congruent with previous studies suggesting that mountainous re-gions in northern and western Iran, and the plains in central and eastern Iran are a suitable habitat for H. hyaena.

Predicting the potential distribution ofVexillata(Nematoda: Ornithostrongylidae) and its hosts (Mammalia: Rodentia) within America

2012 ◽  
Vol 87 (4) ◽  
pp. 400-408 ◽  
Author(s):  
E.A. Martínez-Salazar ◽  
T. Escalante ◽  
M. Linaje ◽  
J. Falcón-Ordaz
Keyword(s):  
Environmental Factor ◽  
Species Distribution ◽  
Host Species ◽  
Potential Distribution ◽  
Species Distribution Modelling ◽  
Distribution Modelling ◽  
Distributional Patterns ◽  
Suitable Habitats ◽  
Temperature Seasonality ◽  
Host Parasite

AbstractSpecies distribution modelling has been a powerful tool to explore the potential distribution of parasites in wildlife, being the basis of studies on biogeography.Vexillataspp. are intestinal nematodes found in several species of mammalian hosts, such as rodents (Geomyoidea) and hares (Leporidae) in the Nearctic and northern Neotropical regions. In the present study, we modelled the potential distribution ofVexillataspp. and their hosts, using exclusively species from the Geomyidae and Heteromyidae families, in order to identify their distributional patterns. Bioclimatic and topographic variables were used to identify and predict suitable habitats forVexillataand its hosts. Using these models, we identified that temperature seasonality is a significant environmental factor that influences the distribution of the parasite genus and its host. In particular, the geographical distribution is estimated to be larger than that predicted for its hosts. This suggests that the nematode has the potential to extend its geographical range and also its spectrum of host species. Increasing sample size and geographical coverage will contribute to recommendations for conservation of this host–parasite system.

scholarly journals A PLUGIN TO INTERFACE OPENMODELLER FROM QGIS FOR SPECIES' POTENTIAL DISTRIBUTION MODELLING

2016 ◽  
Vol III-7 ◽  
pp. 251-256 ◽  
Author(s):  
Daniel Becker ◽  
Christian Willmes ◽  
Georg Bareth ◽  
Gerd-Christian Weniger
Keyword(s):  
Information System ◽  
Software Package ◽  
Potential Distribution ◽  
Data Conversion ◽  
Command Line ◽  
Command Line Interface ◽  
Species Occurrence ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Project Folder

This contribution describes the development of a plugin for the geographic information system QGIS to interface the openModeller software package. The aim is to use openModeller to generate species’ potential distribution models for various archaeological applications (site catchment analysis, for example). Since the usage of openModeller’s command-line interface and configuration files can be a bit inconvenient, an extension of the QGIS user interface to handle these tasks, in combination with the management of the geographic data, was required. The implementation was realized in Python using PyQGIS and PyQT. The plugin, in combination with QGIS, handles the tasks of managing geographical data, data conversion, generation of configuration files required by openModeller and compilation of a project folder. The plugin proved to be very helpful with the task of compiling project datasets and configuration files for multiple instances of species occurrence datasets and the overall handling of openModeller. In addition, the plugin is easily extensible to take potential new requirements into account in the future.

Distribution and status of the striped hyena Hyaena hyaena (Linnaeus, 1758) (Mammalia, Hyaenidae) in Algeria

Mammalia ◽  
2020 ◽  
Vol 84 (5) ◽  
pp. 421-428
Author(s):  
Louiza Derouiche ◽  
Farid Bounaceur ◽  
Naceur Benamor ◽  
Mohamed Hadjloum ◽  
Hafida Benameur-Hasnaoui ◽  
...  
Keyword(s):  
Mediterranean Region ◽  
Field Survey ◽  
International Union ◽  
Conservation Measures ◽  
Northern Areas ◽  
Causes Of Mortality ◽  
The Mediterranean ◽  
Suitable Habitats ◽  
Striped Hyena ◽  
Hyaena Hyaena

AbstractThe striped hyena Hyaena hyaena is listed “Vulnerable” by the International Union for Conservation of Nature (IUCN) in the Mediterranean region as its population and range are decreasing in most countries. In Algeria, the distribution and status of this species have not been reviewed for nearly 30 years. A field survey was conducted during the last 10 years in many regions and suitable habitats in order to update this information. Our results show that the striped hyena was eradicated from some northern areas of its former range, but still occurs in most regions of Algeria. Causes of mortality are reported and conservation measures are suggested in order to keep sustainable populations.

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 A PLUGIN TO INTERFACE OPENMODELLER FROM QGIS FOR SPECIES' POTENTIAL DISTRIBUTION MODELLING

2016 ◽  
Vol III-7 ◽  
pp. 251-256 ◽  
Author(s):  
Daniel Becker ◽  
Christian Willmes ◽  
Georg Bareth ◽  
Gerd-Christian Weniger
Keyword(s):  
Information System ◽  
Software Package ◽  
Potential Distribution ◽  
Data Conversion ◽  
Command Line ◽  
Command Line Interface ◽  
Species Occurrence ◽  
Distribution Models ◽  
Distribution Modelling ◽  
Project Folder

This contribution describes the development of a plugin for the geographic information system QGIS to interface the openModeller software package. The aim is to use openModeller to generate species’ potential distribution models for various archaeological applications (site catchment analysis, for example). Since the usage of openModeller’s command-line interface and configuration files can be a bit inconvenient, an extension of the QGIS user interface to handle these tasks, in combination with the management of the geographic data, was required. The implementation was realized in Python using PyQGIS and PyQT. The plugin, in combination with QGIS, handles the tasks of managing geographical data, data conversion, generation of configuration files required by openModeller and compilation of a project folder. The plugin proved to be very helpful with the task of compiling project datasets and configuration files for multiple instances of species occurrence datasets and the overall handling of openModeller. In addition, the plugin is easily extensible to take potential new requirements into account in the future.

Distribution modelling of four scelionid egg parasitoids of green stink bugs (Hemiptera: Pentatomidae)

Biologia ◽  
2017 ◽  
Vol 72 (1) ◽  
Author(s):  
Tahmineh Tavanpour ◽  
M. Reza Mehrnejad ◽  
Alimorad Sarafrazi ◽  
Sohrab Imani
Keyword(s):  
Conservation Biology ◽  
Potential Distribution ◽  
Species Distribution Models ◽  
Management Strategies ◽  
Egg Parasitoids ◽  
Stink Bugs ◽  
Maximum Entropy Model ◽  
Distribution Models ◽  
Entropy Model ◽  
Distribution Modelling

AbstractSpecies distribution models are increasingly used in regional biodiversity assessments, pest management strategies, conservation biology, ecology and evolution. The Maximum Entropy model was applied to predict the potential distribution of four egg parasitoids, e.g.,

scholarly journals Endemic Juniperus Montane Species Facing Extinction Risk under Climate Change in Southwest China: Integrative Approach for Conservation Assessment and Prioritization

Biology ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 63
Author(s):  
Mohammed A. Dakhil ◽  
Marwa Waseem A. Halmy ◽  
Walaa A. Hassan ◽  
Ali El-Keblawy ◽  
Kaiwen Pan ◽  
...  
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Extinction Risk ◽  
In Situ Conservation ◽  
Integrative Approach ◽  
Conservation Assessment ◽  
Distribution Models ◽  
Area Of Occupancy ◽  
Annual Range ◽  
The Impact

Climate change is an important driver of biodiversity loss and extinction of endemic montane species. In China, three endemic Juniperus spp. (Juniperuspingii var. pingii, J.tibetica, and J.komarovii) are threatened and subjected to the risk of extinction. This study aimed to predict the potential distribution of these three Juniperus species under climate change and dispersal scenarios, to identify critical drivers explaining their potential distributions, to assess the extinction risk by estimating the loss percentage in their area of occupancy (AOO), and to identify priority areas for their conservation in China. We used ensemble modeling to evaluate the impact of climate change and project AOO. Our results revealed that the projected AOOs followed a similar trend in the three Juniperus species, which predicted an entire loss of their suitable habitats under both climate and dispersal scenarios. Temperature annual range and isothermality were the most critical key variables explaining the potential distribution of these three Juniperus species; they contribute by 16–56.1% and 20.4–38.3%, respectively. Accounting for the use of different thresholds provides a balanced approach for species distribution models’ applications in conservation assessment when the goal is to assess potential climatic suitability in new geographical areas. Therefore, south Sichuan and north Yunnan could be considered important priority conservation areas for in situ conservation and search for unknown populations of these three Juniperus species.

scholarly journals Habitat preference indicators for striped hyena (Hyaena hyaena) in Nepal

2021 ◽  
Vol 27 ◽  
pp. e01619
Author(s):  
Shivish Bhandari ◽  
Daya Ram Bhusal ◽  
Maria Psaralexi ◽  
Stefanos Sgardelis
Keyword(s):  
Habitat Preference ◽  
Striped Hyena ◽  
Hyaena Hyaena

scholarly journals Scaling up ideals to freedom: are densities of red knots across western Europe consistent with ideal free distribution?

2011 ◽  
Vol 278 (1719) ◽  
pp. 2728-2736 ◽  
Author(s):  
Gwenaël Quaintenne ◽  
Jan A. van Gils ◽  
Pierrick Bocher ◽  
Anne Dekinga ◽  
Theunis Piersma
Keyword(s):  
Uniform Distribution ◽  
Western Europe ◽  
Ideal Free Distribution ◽  
Scale Up ◽  
Suitable Habitat ◽  
Distribution Models ◽  
Free Distribution ◽  
Wintering Areas ◽  
Wintering Area ◽  
Suitable Habitats

Local studies have shown that the distribution of red knots Calidris canutus across intertidal mudflats is consistent with the predictions of an ideal distribution, but not a free distribution. Here, we scale up the study of feeding distributions to their entire wintering area in western Europe. Densities of red knots were compared among seven wintering sites in The Netherlands, UK and France, where the available mollusc food stocks were also measured and from where diets were known. We tested between three different distribution models that respectively assumed (i) a uniform distribution of red knots over all areas, (ii) a uniform distribution across all suitable habitat (based on threshold densities of harvestable mollusc prey), and (iii) an ideal and free distribution (IFD) across all suitable habitats. Red knots were not homogeneously distributed across the different European wintering areas, also not when considering suitable habitats only. Their distribution was best explained by the IFD model, suggesting that the birds are exposed to interference and have good knowledge about their resource landscape at the spatial scale of NW Europe, and that the costs of movement between estuaries, at least when averaged over a whole winter, are negligible.

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