The erythroblastic island niche: modeling in health, stress, and disease

AbstractPterocarya fraxinifolia, native to the southern Caucasus and adjacent areas, has been widely introduced in Europe. In this study, we investigate the following: (1) How did its current distribution form? (2) What are the past, current, and future suitable habitats of P. fraxinifolia? (3) What is the best conservation approach? Ecological niche modeling was applied to determine its climatic demands and project the distribution of climatically suitable areas during three periods of past, current, and future (2070) time. Then, an integrated analysis of fossil data was performed. Massive expansion of Pterocarya species between the Miocene and Pliocene facilitated the arrival of P. fraxinifolia to the southern Caucasus. The Last Glacial Maximum played a vital role in its current fragmented spatial distribution in the Euxinian and Hyrcanian regions with lower elevations, and Caucasian and Irano-Turanian regions with higher elevations. Climatic limiting factors were very different across these four regions. Future climate change will create conditions for the expansion of this species in Europe. Human activities significantly decreased the suitable area for P. fraxinifolia, especially in the Euxinian, Hyrcanian, and Irano-Turanian regions. Considering genetic diversity, climate vulnerability, and land utilization, the Euxinian, Hyrcanian, and Irano-Turanian regions have been recognized as conservation priority areas for P. fraxinifolia.

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Evaluation metrics and validation of presence-only species distribution models based on distributional maps with varying coverage

Scientific Reports ◽

10.1038/s41598-020-80062-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Kamil Konowalik ◽

Agata Nosol

Keyword(s):

Ecological Niche Modeling ◽

Niche Modeling ◽

Ecological Niches ◽

Herbarium Specimens ◽

Wide Field ◽

Environmental Niche ◽

Endemic Plant ◽

Distribution Models ◽

Environmental Niche Modeling ◽

Almost All

AbstractWe examine how different datasets, including georeferenced hardcopy maps of different extents and georeferenced herbarium specimens (spanning the range from 100 to 85,000 km2) influence ecological niche modeling. We check 13 of the available environmental niche modeling algorithms, using 30 metrics to score their validity and evaluate which are useful for the selection of the best model. The validation is made using an independent dataset comprised of presences and absences collected in a range-wide field survey of Carpathian endemic plant Leucanthemum rotundifolium (Compositae). Our analysis of models’ predictive performances indicates that almost all datasets may be used for the construction of a species distributional range. Both very local and very general datasets can produce useful predictions, which may be more detailed than the original ranges. Results also highlight the possibility of using the data from manually georeferenced archival sources in reconstructions aimed at establishing species’ ecological niches. We discuss possible applications of those data and associated problems. For the evaluation of models, we suggest employing AUC, MAE, and Bias. We show an example of how AUC and MAE may be combined to select the model with the best performance.

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Habitat quality of overwintering red-crowned cranes based on ecological niche modeling

Arabian Journal of Geosciences ◽

10.1007/s12517-019-4932-9 ◽

2019 ◽

Vol 12 (24) ◽

Cited By ~ 2

Author(s):

Juan Wang ◽

Hongyu Liu ◽

Yufeng Li ◽

Huabing Zhang

Keyword(s):

Habitat Quality ◽

Ecological Niche ◽

Ecological Niche Modeling ◽

Niche Modeling

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Relaxed random walk model coupled with ecological niche modeling unravel the dispersal dynamics of a Neotropical savanna tree species in the deeper Quaternary

Frontiers in Plant Science ◽

10.3389/fpls.2015.00653 ◽

2015 ◽

Vol 6 ◽

Cited By ~ 26

Author(s):

Rosane G. Collevatti ◽

Levi C. Terribile ◽

Suelen G. Rabelo ◽

Matheus S. Lima-Ribeiro

Keyword(s):

Random Walk ◽

Tree Species ◽

Ecological Niche ◽

Ecological Niche Modeling ◽

Niche Modeling ◽

Random Walk Model ◽

Neotropical Savanna

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Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling

Journal of Tropical Medicine ◽

10.1155/2016/1439090 ◽

2016 ◽

Vol 2016 ◽

pp. 1-10 ◽

Cited By ~ 13

Author(s):

Gabriel Parra-Henao ◽

Laura C. Suárez-Escudero ◽

Sebastián González-Caro

Keyword(s):

Chagas Disease ◽

Sierra Nevada ◽

Geographic Distribution ◽

Ecological Niche ◽

Ecological Niche Modeling ◽

Climatic Factors ◽

Niche Modeling ◽

Triatomine Species ◽

Local Risk ◽

And Control

Ecological niche modeling of Triatominae bugs allow us to establish the local risk of transmission of the parasiteTrypanosoma cruzi,which causes Chagas disease.This information could help to guide health authority recommendations on infection monitoring, prevention, and control. In this study, we estimated the geographic distribution of triatomine species in Colombia and identified the relationship between landscape structure and climatic factors influencing their occurrence. A total of 2451 records of 4 triatomine species (Panstrongylus geniculatus,Rhodnius pallescens,R. prolixus, andTriatoma maculata) were analyzed.The variables that provided more information to explain the ecologic niche of these vectors were related to precipitation, altitude, and temperature. We found that the species with the broadest potential geographic distribution wereP. geniculatus,R. pallescens, andR. prolixus. In general, the models predicted the highest occurrence probability of these vectors in the eastern slope of the Eastern Cordillera, the southern region of the Magdalena valley, and the Sierra Nevada of Santa Marta.

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