Relevant bibliographies by topics / Bioclimatic determinants

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Academic literature on the topic 'Bioclimatic determinants'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Bioclimatic determinants"

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Dorcas Mobolade, Tolulope, and Parastoo Pourvahidi. "Bioclimatic Approach for Climate Classification of Nigeria." Sustainability 12, no. 10 (2020): 4192. http://dx.doi.org/10.3390/su12104192.

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One of the fundamental determinants of buildings is the protection of the people who live and work within them from a harsh climate, but a lot of buildings in Nigeria are no longer providing the required comfort needed. The gas emissions through the use of mechanical equipment and lack of energy efficiency in buildings are the major causes of climate change. The way architecture responds to climate change is important. Thus, this research attempted, by using the new bioclimatic chart, to prepare the new climate classification of Nigeria. The research was aimed at establishing a bioclimatically
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2

Salvacion, A. R., T. C. Solpot, C. J. R. Cumagun, et al. "Exploring environmental determinants of Fusarium wilt occurrence on banana in South Central Mindanao, Philippines." Hellenic Plant Protection Journal 12, no. 2 (2019): 78–90. http://dx.doi.org/10.2478/hppj-2019-0008.

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Summary This study used Maximum Entropy (MaxEnt) to explore potential environmental determinants of Fusarium wilt occurrence on banana in south-central part of the Philippines. Different variables representing topographic, bioclimatic, and edaphic features of an area were tested against data of Fusarium wilt occurrence. Based on the results, precipitation during the driest month, precipitation during the wettest month, precipitation of the warmest quarter, slope, and elevation were the most important variables for predicting the probability of Fusarium wilt occurrence on banana. Results also s
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Yao, Raymond Koffi. "Variability of bioclimatic determinants and their impacts on the productivity of cowpea and maize intercropping in three agro-ecologies areas of Côte d'Ivoire." International Journal of Agronomy and Agricultural Research (IJAAR) 25, no. 1 (2024): 1–8. https://doi.org/10.5281/zenodo.14028099.

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In Côte d’Ivoire, the yield of cowpea and maize remains low due to climatic variations that are difficult to control. This study was initiated with the objective of evaluating the impact of climate variability on the productivity of cowpea and maize intercropping. To achieve this, experimental trials were conducted in the localities of Bédiala, Adzopé, and Dikodougou during the years 2020 and 2021. The experimental design was a completely randomized block with four replications. Each plot covered an area of 1088 m² (34 m × 32 m) and included 28 treatments.
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Gallozzi, Francesco, Paolo Colangelo, Gabriele Senczuk, and Riccardo Castiglia. "Phylogeographic and Bioclimatic Determinants of the Dorsal Pattern Polymorphism in the Italian Wall Lizard, Podarcis siculus." Diversity 14, no. 7 (2022): 519. http://dx.doi.org/10.3390/d14070519.

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The geographic variability of the dorsal pattern (DP) of the Italian wall lizard, Podarcis siculus, across its native range was studied with the aim of understanding whether the distributions of this phenotypic trait were more shaped by allopatric differentiation rather than adaptive processes. A total of 1298 georeferenced observations scattered across the Italian peninsula and the main islands (Sicily, Corsica and Sardinia) were obtained from citizen science databases and five DPs were characterized by different shapes of the dark pattern (“reticulated”, “campestris”, “reticulated/campestris
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Parra-Vásquez, C., K. Suarez-Bravo, R. Caballero-Salas, V. Soto-Aquino, C. Alvarez-Montalván, and S. Manrique. "Identification and Characterization of Life Zones at Satipo District in the Tropics of Central Peru." IOP Conference Series: Earth and Environmental Science 1046, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1755-1315/1046/1/012003.

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Abstract At present, the life zones have undergone great changes due to anthropic activities, so the present study was carried out with the aim of identifying and characterizing the life zones of the Satipo district. The applied methodology was the Holdridge life zone classification, the meteorological variables were analyzed, the vegetation cover was identified, also using the ArcGIS, QGIS, ENVI and Microsoft Excel software, the data analysis and field information were processed. In the investigation of bioclimatic factors they show that there are four important determinants: annual biotemper
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Schnase, John L., and Mark L. Carroll. "Automatic variable selection in ecological niche modeling: A case study using Cassin’s Sparrow (Peucaea cassinii)." PLOS ONE 17, no. 1 (2022): e0257502. http://dx.doi.org/10.1371/journal.pone.0257502.

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MERRA/Max provides a feature selection approach to dimensionality reduction that enables direct use of global climate model outputs in ecological niche modeling. The system accomplishes this reduction through a Monte Carlo optimization in which many independent MaxEnt runs, operating on a species occurrence file and a small set of randomly selected variables in a large collection of variables, converge on an estimate of the top contributing predictors in the larger collection. These top predictors can be viewed as potential candidates in the variable selection step of the ecological niche mode
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Gnanaolivu, Smitha D., Joseph J. Erinjery, Marco Campera, and Mewa Singh. "Distribution and Habitat Suitability of the Malabar Slender Loris (Loris lydekkerianus malabaricus) in the Aralam Wildlife Sanctuary, India." Land 14, no. 4 (2025): 872. https://doi.org/10.3390/land14040872.

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Understanding how mammals respond to climate change is critical for predicting future biogeographic shifts and implementing effective conservation strategies. In this study, we applied MaxEnt modeling to identify key determinants of the distribution of the Malabar slender loris (Loris lydekkerianus malabaricus), a nocturnal primate endemic to the Western Ghats of India. Using 416 slender loris sightings, spatially thinned at 0.5 km intervals to reduce spatial autocorrelation, we evaluated 19 present bioclimatic variables alongside 10 additional climatic variables. From these, 14 predictor vari
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8

Zymaroieva, Anastasiia, Tetiana Fedoniuk, Svitlana Matkovska, Olena Andreieva, and Victor Pazych. "Agroecological Determinants of Potato Spatiotemporal Yield Variation at the Landscape Level in the Central and Northern Ukraine." Grassroots Journal of Natural Resources 4, no. 2 (2021): 34–47. http://dx.doi.org/10.33002/nr2581.6853.040203.

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Global food security largely depends on the crop yield increase, so the study of the yield-limiting factors of potato (the second bread) is a pressing issue today. This study determines the contribution of the agroecological factors, namely, bioclimatic variables, soil indicators, and factors of landscape diversity, to the variation in potato yields. Conducted in Polissya and Forest-steppe zones of Ukraine during 1991–2017, this study has not only addressed the relationship between ecological determinants and potato yields, but also considered crop yields as a dynamic system. The dynamics of p
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Anastasiia, Zymaroieva, Fedoniuk Tetiana, Matkovska Svitlana, Andreieva Olena, and Pazych Victor. "Agroecological Determinants of Potato Spatiotemporal Yield Variation at the Landscape Level in the Central and Northern Ukraine." Grassroots Journal of Natural Resources 4, no. 2 (2021): 34–47. https://doi.org/10.33002/nr2581.6853.040203.

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Global food security largely depends on the crop yield increase, so the study of the yield-limiting factors of potato (the second bread) is a pressing issue today. This study determines the contribution of the agroecological factors, namely, bioclimatic variables, soil indicators, and factors of landscape diversity, to the variation in potato yields. Conducted in Polissya and Forest-steppe zones of Ukraine during 1991–2017, this study has not only addressed the relationship between ecological determinants and potato yields, but also considered crop yields as a dynamic system. The dynamic
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10

Singleton, Alyson L., Caroline K. Glidden, Andrew J. Chamberlin, et al. "Species distribution modeling for disease ecology: A multi-scale case study for schistosomiasis host snails in Brazil." PLOS Global Public Health 4, no. 8 (2024): e0002224. http://dx.doi.org/10.1371/journal.pgph.0002224.

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Species distribution models (SDMs) are increasingly popular tools for profiling disease risk in ecology, particularly for infectious diseases of public health importance that include an obligate non-human host in their transmission cycle. SDMs can create high-resolution maps of host distribution across geographical scales, reflecting baseline risk of disease. However, as SDM computational methods have rapidly expanded, there are many outstanding methodological questions. Here we address key questions about SDM application, using schistosomiasis risk in Brazil as a case study. Schistosomiasis i
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Book chapters on the topic "Bioclimatic determinants"

1

Greenland, David, and Mark Losleben. "Climate." In Structure and Function of an Alpine Ecosystem. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195117288.003.0007.

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Climate is one of the most important determinants of biotic structure and function in the alpine. High winds and low temperatures are defining elements of this ecosystem, requiring adaptations of the alpine biota. Interaction between topography and snowcover strongly influences spatial heterogeneity of microclimate, which in turn influences and is influenced by the distribution of vegetation. For nearly 50 years investigators have used Niwot Ridge to examine and document the climate and its interaction with the biota of the alpine tundra. This chapter reviews some of the many findings of these
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