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Your search keyword '"Spatial distribution modeling"' showing total 3 results
Start Over Descriptor "Spatial distribution modeling" Publication Year Range Last 3 years
3 results on '"Spatial distribution modeling"'

1. Species distribution modeling and assessment of environmental drivers responsible for distribution and preferred niche of critically endangered and endemic ornamental freshwater fish species of the genus Sahyadria.

Author

Pathak, Ajey Kumar, Verma, Pushpendra, Dayal, Rajesh, and Sarkar, Uttam Kumar

Subjects
SPECIES distribution, ORNAMENTAL fishes, FRESHWATER fishes, ENDANGERED species, SEASONAL temperature variations, AQUATIC habitats
Abstract

India has different bioclimatic zones and supports diverse aquatic habitats rich in biodiversity. For effective conservation of the endangered species in its habitat, it is essential to know the distribution of fish species in the environmental range, and for this, species distribution models are the efficient and innovative tools. The present study used the MaxEnt modeling technique for developing probability distribution models highlighting the distribution of fish species by analyzing the known occurrence records of Denison barb under genus Sahyadria (Sahyadria denisonii Day 1865 and Sahyadria chalakkudiensis (Menon et al., Rec Zool Surv India 97:61–63, 1999)) in relation to environmental variables typically incorporating seasonal and temporal variability. AUC of the models for Sahyadria species depicted good fitness. Both species were found sensitive to "solar radiation," "temperature seasonality," and "temperature annual range" and assessed as significant predictors. The sensitivity and distribution of both species to these environmental variables were found correlated with their breading and spawning seasons. "Precipitation" was determined as one of the significant climatic envelopes influencing the distribution of the species associated with river flow. The models showed the distribution of S. denisonii in the higher precipitation areas compared to S. chalakkudiensis. The probability distribution model with respect to the distribution of both species indicates a lineage barrier at Palghat Gap supporting the earlier studies. At the latitudinal scale, prediction of the suitable ecological habitat provides a detailed insight into the distribution of all genetic lineages of the genus Sahyadria. Evidently, the findings of this study can assist in determining ecological niches for endangered species of other areas and may aid in field surveys as well as developing conservation plans. [ABSTRACT FROM AUTHOR]

Published
2022
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2. Ecological niche dynamic, lessons from plankton

Author

Serandour, Baptiste and Serandour, Baptiste

Abstract

Abiotic conditions shape biological communities around the globe. Through spatial and temporal heterogeneity, environments impact plankton physiology, phenology and distribution. Understanding the dynamic relationships between biotic and abiotic components is essential to assess the resistance and resilience of biological communities to environmental changes. In an intricate interaction network, plankton organisms are channeling energy to higher trophic levels. However, the relative importance of the different energy sources and trophic pathways within the pelagic food web remains to be quantified. A better comprehension of the ecological niches of the main plankton species, and the influence of abiotic conditions on their interaction network is needed to enhance our understanding of fluxes and predicting the response of oceans to environmental change. In this thesis, we employed diverse approaches to explore the influence of environmental conditions on feeding interactions and spatial distribution of Baltic Sea plankton species. Using metabarcoding tools, we show the broad trophic niche of mesozooplankton species and shed light on the diet variability across species belonging to a similar size class. Additionally, we observed for some species, the ability to change trophic behavior on a spatial and temporal scales. These new insights were incorporated in flux models to quantify energy pathways, which revealed the essential role of cyanobacteria in supporting the pelagic food web. However, biotic interactions are sensitive to abiotic conditions, therefore, expected environmental changes could lead to modifications in the marine network. We assessed the influence of changes in abiotic parameters on the spatial and seasonal distribution of key Baltic Sea species by projecting their suitable habitat areas in both current and future conditions. In this doctoral project, we unveil the future loss in habitat suitability of several important zooplankton species of the Bal

Published
2023

3. Environmental and bioclimatic factors influencing yeasts and molds distribution along European shores

Author

Cogliati, M., Arikan-Akdagli, S., Barac, A., Bostanaru, A. C., Brito, S., Çerikçioğlu, N., Efstratiou, M. A., Ergin, Ç., Esposto, M. C., Frenkel, M., Gangneux, J. P., Gitto, A., Gonçalves, C. I., Guegan, H., Gunde-Cimerman, N., Güran, M., Jonikaitė, E., Kataržytė, M., Klingspor, L., Mares, M., Meijer, W. G., Melchers, W. J. G., Meletiadis, J., Nastasa, V., Babič, M. Novak, Ogunc, D., Ozhak, B., Prigitano, A., Ranque, S., Romanò, L., Rusu, R. O., Sabino, Raquel Filipa Pinheiro, Sampaio, A., Silva, S., Stephens, J. H., Tehupeiory-Kooreman, M., Velegraki, A., Veríssimo, Cristina, Segal, E., Brandão, J., Università degli Studi di Milano = University of Milan (UNIMI), Hacettepe University = Hacettepe Üniversitesi, University of Belgrade [Belgrade], Universitatea de Ştiinţe Agricole şi Medicină Veterinară 'Ion Ionescu de la Brad' - University of life sciences [Iasi, Romania], Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), École des Hautes Études en Santé Publique [EHESP] (EHESP), Vecteurs - Infections tropicales et méditerranéennes (VITROME), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA), Harokopio University of Athens, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), Tel Aviv University (TAU), Universidade de Lisboa = University of Lisbon (ULISBOA), Ana Sampaio thanks to the Foundation for Science and Technology and FEDER under Programe PT2020 for financial support to CITAB (UID/AGR/04033/2020)., and Repositório da Universidade de Lisboa

Subjects
Precipitation (chemical), Settore MED/42 - Igiene Generale e Applicata, river, yeast, Molds, Spatial distribution modelling, Soil, Sand, environmental factor, Yeasts, Distribution models, Soil Pollutants, Waste Management and Disposal, Candida, Spatial distribution modeling, Women's cancers Radboud Institute for Molecular Life Sciences [Radboudumc 17], Mycosands, Modeling approach, concentration (composition), pH, Pollution, Species distribution modeling, Web database, Europe, Metals, [SDE]Environmental Sciences, Avaliação do Risco, Environmental Factors, Cadmium, Environmental Monitoring, soil pollutant, Environmental Engineering, metal, Fumigatus, Chemical and physical properties, chlorophyll a, chemistry, environmental factors, molds, sand, spatial distribution modelling, water, yeasts, Agentes Microbianos e Ambiente, Sediments, All institutes and research themes of the Radboud University Medical Center, Rivers, Lows-temperatures, Environmental factors, Environmental Chemistry, Spatial Distribution Modelling, Infecções Sistémicas e Zoonoses, Chlorophyll-a concentration, Beach, Water, soil property, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], Probability distributions, Soils, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Soil datasets, bioclimatology
Abstract

© 2022 Elsevier B.V. All rights reserved., The present study employed data collected during the Mycosands survey to investigate the environmental factors influencing yeasts and molds distribution along European shores applying a species distribution modelling approach. Occurrence data were compared to climatic datasets (temperature, precipitation, and solar radiation), soil datasets (chemical and physical properties), and water datasets (temperature, salinity, and chlorophyll-a concentration) downloaded from web databases. Analyses were performed by MaxEnt software. Results suggested a different probability of distribution of yeasts and molds along European shores. Yeasts seem to tolerate low temperatures better during winter than molds and this reflects a higher suitability for the Northern European coasts. This difference is more evident considering suitability in waters. Both distributions of molds and yeasts are influenced by basic soil pH, probably because acidic soils are more favorable to bacterial growth. Soils with high nitrogen concentrations are not suitable for fungal growth, which, in contrast, are optimal for plant growth, favored by this environment. Finally, molds show affinity with soil rich in nickel and yeasts with soils rich in cadmium resulting in a distribution mainly at the mouths of European rivers or lagoons, where these metals accumulate in river sediments., Ana Sampaio thanks to the Foundation for Science and Technology and FEDER under Programe PT2020 for financial support to CITAB (UID/AGR/04033/2020)

Published
2022

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