MaxEnt Modeling of Dermacentor marginatus (Acari: Ixodidae) Distribution in Xinjiang, China

2020 ◽  
Vol 57 (5) ◽  
pp. 1659-1667 ◽  
Author(s):  
Huercha ◽  
Ruiqi Song ◽  
Ying Ma ◽  
Zhengxiang Hu ◽  
Yingke Li ◽  
...  
Keyword(s):  
Tick Species ◽  
Potential Distribution ◽  
Junggar Basin ◽  
Distribution Model ◽  
Field Collection ◽  
Dermacentor Marginatus ◽  
Maxent Modeling ◽  
Auc Value ◽  
Mountain West ◽  
Fold Cross Validation

Abstract Dermacentor marginatus Sulkzer is a common tick species found in the Xinjiang Uygur Autonomous Region (XUAR) of China, and is a vector for a variety of pathogens. To determine the potential distribution of this tick species in Xinjiang, a metadata containing 84 D. marginatus presence records combined with four localities from field collection were used for MaxEnt modeling to predict potential distribution of this tick species. Identification of tick samples showed 756 of 988 (76%) were D. marginatus. MaxEnt modeling results indicated that the potential distribution of this tick species was mainly confined to northern XUAR. Highly suitable areas included west side of Altay mountain, west rim of Junggar basin, and Yili River valley in the study area. The model showed an AUC value of 0.838 ± 0.063 (SD), based on 10-fold cross-validation. Although tick presence records used for modeling were limited, this is the first regional tick distribution model for D. marginatus in Xinjiang. The model will be helpful in assessing the risk of tick-borne diseases to human and animals in the region.

scholarly journals El Modelling potential distribution of the endemic ringtail (Bassariscus astutus saxicola) on an island in the Gulf of California

2021 ◽  
Author(s):  
Gustavo Arnaud ◽  
Sarahi Sandoval ◽  
Jonatgan G. Escobar-Flores ◽  
Rigel Sansores Sánchez
Keyword(s):  
Gulf Of California ◽  
Potential Distribution ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Thermal Refuge ◽  
Heat Load Index ◽  
Digital Elevation ◽  
Bassariscus Astutus ◽  
Auc Value ◽  
Elevation Model

Objective: Analyze the topography of the island with a digital elevation model (DEM) at 30 m spatial resolution and generate the first distribution model for an endemic carnivore from the islands of the Gulf of California. Design/Methodology/Approach: This study employed the Maxent species distribution model to find the distribution of the ringtail in its habitat on Espíritu Santo Island. In 2015–2016, through four surveys, ringtails were trapped in eight glens on the west of the island. A total of 74 individuals were captured, with nine recaptures. Results: The variables with the greatest contributions to the models were elevation, contributing 71.6%; heat load index 15% and ruggedness 11.8%. The model predicts > 0.5 probabilities of presence of this carnivore in 3,018 hectares of the island. We obtained a high AUC value (0.928), which indicates that the model is accurate, and subsequently confirmed it with a value of pAUC = 1.917. Study Limitations/Implications: The habitat of the ringtail (Bassariscus astutus saxicola) was little known mainly because it is an endemic species. And there was not a published article that will show its distribution within the island. Conclusions: This model shows that topographic variables are useful to explain the potential distribution of the ringtail, mainly because the topography is related to sites that can offer thermal refuge, abundance of food, and escape routes from predators, among other features.

scholarly journals Predicting the potential distribution of the endangered red panda across its entire range using MaxEnt modeling

2018 ◽  
Vol 8 (21) ◽  
pp. 10542-10554 ◽  
Author(s):  
Arjun Thapa ◽  
Ruidong Wu ◽  
Yibo Hu ◽  
Yonggang Nie ◽  
Paras B. Singh ◽  
...  
Keyword(s):  
Entire Range ◽  
Potential Distribution ◽  
Maxent Modeling ◽  
Red Panda

scholarly journals Maxent modeling for predicting the potential distribution of Arbutus andrachne L. belonging to climate change in Turkey.

2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Ayse Gul Sarikaya ◽  
◽  
Omer K. Orucu ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Potential Distribution ◽  
Climate Change Scenarios ◽  
Small Tree ◽  
Potential Habitat ◽  
Northern Areas ◽  
Maxent Modeling ◽  
Rcp 8.5 ◽  
Turkish Flora

Arbutus andrachne L., the strawberry tree, is an evergreen shrub or small tree in the Turkish flora and has broad uses. The wood is used for decorative purposes, packaging, and manufacturing furniture. The fruits are edible and used in treating many kinds of diseases. However, global warming might affect the abundance of this symbolic plant's distribution, especially at higher latitudes. This study was conducted to determine the expected effects of climate change on A. andrachne. For this purpose, Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 were used to expect climate change scenarios for 2050 and 2070, and potential distribution areas of A. andrachne were presented. The results indicated that the distribution of A. andrachne would decrease in the southern regions of Turkey. However, the spread of the species could be expanded in the western and northern areas. It is also expected that there would be potential habitat losses, which would affect the distribution of A. andrachne.

scholarly journals Tick species and tick-borne infections identified in population from a rural area of Spain

2005 ◽  
Vol 133 (5) ◽  
pp. 943-949 ◽  
Author(s):  
FRANCISCO JESÚS MERINO ◽  
TERESA NEBREDA ◽  
JOSE LUIS SERRANO ◽  
PEDRO FERNÁNDEZ-SOTO ◽  
ANTONIO ENCINAS ◽  
...  
Keyword(s):  
Health Care ◽  
Borrelia Burgdorferi ◽  
Anaplasma Phagocytophilum ◽  
Tick Species ◽  
Medical Advice ◽  
Borrelia Burgdorferi Sensu Lato ◽  
Dermacentor Marginatus ◽  
Rickettsia Slovaca ◽  
Rickettsia Massiliae ◽  
Rhipicephalus Bursa

To determine the tick species that bite humans in the province of Soria (Spain) and ascertain the tick-borne pathogens that threaten people's health in that province, 185 tick specimens were collected from 179 patients who sought medical advice at health-care centres. The ticks were identified, and their DNA examined by PCR for pathogens. Most ticks were collected in autumn and spring (59 and 57 respectively). Nine species of ticks were identified, the most frequent being Dermacentor marginatus (55·7%), Ixodes ricinus (12·4%) and Rhipicephalus bursa (11·9%). Ninety-seven females, 66 males, 21 nymphs and one larva were identified. Twenty-six ticks carried DNA from Rickettsia spp. (11 Rickettsia slovaca, 6 Rickettsia spp. RpA4/DnS14, 1 Rickettsia massiliae/Bar29, and 8 unidentified); two ticks carried DNA from Borrelia burgdorferi sensu lato and seven ticks harboured DNA from Anaplasma phagocytophilum.

scholarly journals DNILMF-LDA: Prediction of lncRNA-Disease Associations by Dual-Network Integrated Logistic Matrix Factorization and Bayesian Optimization

Genes ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 608 ◽  
Author(s):  
Yan Li ◽  
Junyi Li ◽  
Naizheng Bian
Keyword(s):  
Matrix Factorization ◽  
Disease Diagnosis ◽  
Disease Association ◽  
Bayesian Optimization ◽  
Model Parameters ◽  
Target Interaction ◽  
Disease Associations ◽  
Auc Value ◽  
Similarity Networks ◽  
Fold Cross Validation

Identifying associations between lncRNAs and diseases can help understand disease-related lncRNAs and facilitate disease diagnosis and treatment. The dual-network integrated logistic matrix factorization (DNILMF) model has been used for drug–target interaction prediction, and good results have been achieved. We firstly applied DNILMF to lncRNA–disease association prediction (DNILMF-LDA). We combined different similarity kernel matrices of lncRNAs and diseases by using nonlinear fusion to extract the most important information in fused matrices. Then, lncRNA–disease association networks and similarity networks were built simultaneously. Finally, the Gaussian process mutual information (GP-MI) algorithm of Bayesian optimization was adopted to optimize the model parameters. The 10-fold cross-validation result showed that the area under receiving operating characteristic (ROC) curve (AUC) value of DNILMF-LDA was 0.9202, and the area under precision-recall (PR) curve (AUPR) was 0.5610. Compared with LRLSLDA, SIMCLDA, BiwalkLDA, and TPGLDA, the AUC value of our method increased by 38.81%, 13.07%, 8.35%, and 6.75%, respectively. The AUPR value of our method increased by 52.66%, 40.05%, 37.01%, and 44.25%. These results indicate that DNILMF-LDA is an effective method for predicting the associations between lncRNAs and diseases.

scholarly journals Molecular characterization of Ribosomal DNA (ITS2) of hard ticks in Iran: understanding the conspecificity of Dermacentor marginatus and D. niveus

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Parisa Soltan-Alinejad ◽  
Zahra Ramezani ◽  
Hamideh Edalat ◽  
Zakkyeh Telmadarraiy ◽  
Farrokh Dabiri ◽  
...  
Keyword(s):  
Sequence Analysis ◽  
Tick Species ◽  
Morphological Characteristics ◽  
Blood Feeding ◽  
Its2 Sequence ◽  
Hard Tick ◽  
Dermacentor Marginatus ◽  
Hard Ticks ◽  
Morphological Studies ◽  
Veterinary Importance

Abstract Objectives Hard ticks (Acari: Ixodidae) are ectoparasites of medical and veterinary importance. They are obligate blood-feeding vectors with the ability to transmit a wide variety of pathogens. Standard morphological keys are normally used for the identification of tick species. However, considering the importance of accurate species identification and the determination of bio-ecological characteristics of species, relying on morphological keys alone can be questionable. In this study, two DNA fragments (ITS2 and COI) were selected for phylogenetic evaluation of Iranian hard tick species belonging to the genera Dermacentor, Hyalomma, and Rhipicephalus. Results 1229 specimens of Dermacentor marginatus, D. niveus, Hyalomma anatolicum, Rhipicephalus bursa, and R. sanguineuss.l constituting 11 populations were collected from three different climatic and zoogeographical zones in Iran. Morphological studies revealed notable differences in important morphological characteristics between different populations of D. marginatus. The results of ITS2 sequence analysis provided additional evidence which supports the conspecificity of D. niveus and D. marginatus. Contrary to this finding, the sequence analysis of COI and phylogeny favored the separation of the two species. Given the greater importance of COI in identifying and discriminating species, a possibility heterospecificity between the two species should be considered.

Spatial Risk Distribution of Dengue Based on the Ecological Niche Model of Aedes aegypti (Diptera: Culicidae) in the Central Mexican Highlands

2019 ◽  
Vol 57 (3) ◽  
pp. 728-737
Author(s):  
Raymundo Ordoñez-Sierra ◽  
Carlos Alberto Mastachi-Loza ◽  
Carlos Díaz-Delgado ◽  
Angela P Cuervo-Robayo ◽  
Carlos Roberto Fonseca Ortiz ◽  
...  
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Vegetation Index ◽  
Ecological Niche Model ◽  
Distribution Model ◽  
Large Area ◽  
Niche Model ◽  
Spatial Risk ◽  
Precipitation Seasonality ◽  
Risk Distribution

Abstract Dengue is the most important viral disease transmitted by mosquitoes, predominantly Aedes (Stegomyia) aegypti (L.) (Diptera:Culicidae). Forty percent of the world’s population is at risk of contracting the disease, and a large area of Mexico presents suitable environmental conditions for the life cycle of Ae. aegypti. In particular, the Central Mexican Highlands have a high population density, increasing the risk of transmission and propagation of dengue. In the present study, the potential distribution of Ae. aegypti was modeled under an ecological niche approach using the maximum entropy technique with the aim of determining the spatial risk distribution of dengue. The final model of five variables (minimum temperature of the coldest month |Bio6|, precipitation of the wettest month |Bio13|, precipitation seasonality |Bio15|, the normalized difference vegetation index (NDVI), and relative humidity) contributed to more than 90% of the model’s performance. The results of the potential distribution model were then compared with the number of dengue cases per locality during the 2009–2015 period considering four suitability of presence categories. Category 4 corresponded with the highest suitability of presence (0.747 to 1) and the greatest risk of dengue (odds ratio [OR] = 103.27; P < 0.001). In conclusion, the present ecological niche model represents an important tool for the monitoring of dengue and the identification of high-risk areas.

scholarly journals Estimating the impact of climate change on the potential distribution of Indo-Pacific humpback dolphins with species distribution model

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12001
Author(s):  
Jinbo Fu ◽  
Linlin Zhao ◽  
Changdong Liu ◽  
Bin Sun
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Species Distribution Model ◽  
Distribution Model ◽  
Suitable Habitat ◽  
Ensemble Model ◽  
Public Attention ◽  
Impact Of Climate Change ◽  
Sousa Chinensis ◽  
The Impact

As IUCN critically vulnerable species,the Indo-Pacific humpback dolphins (Sousa chinensis) have attracted great public attention in recent years. The threats of human disturbance and environmental pollution to this population have been documented extensively. However, research on the sensitivity of this species to climate change is lacking. To understand the effect of climate change on the potential distribution of Sousa chinensis, we developed a weighted ensemble model based on 82 occurrence records and six predictor variables (e.g., ocean depth, distance to shore, mean temperature, salinity, ice thickness, and current velocity). According to the true skill statistic (TSS) and the area under the receiver operating characteristic curve (AUC), our ensemble model presented higher prediction precision than most of the single-algorithm models. It also indicated that ocean depth and distance to shore were the most important predictors in shaping the distribution patterns. The projections for the 2050s and 2100s from our ensemble model indicated a severe adverse impact of climate change on the Sousa chinensis habitat. Over 75% and 80% of the suitable habitat in the present day will be lost in all representative concentration pathway emission scenarios (RCPS) in the 2050s and 2100s, respectively. With the increased numbers of records of stranding and deaths of Sousa chinensis in recent years, strict management regulations and conservation plans are urgent to safeguard the current suitable habitats. Due to habitat contraction and poleward shift in the future, adaptive management strategies, including designing new reserves and adjusting the location and range of reserves according to the geographical distribution of Sousa chinensis, should be formulated to minimize the impacts of climate change on this species.

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