scholarly journals Evaluating drought risk in data scarce tropical environments

2019 ◽  
Author(s):  
Alexandra Nauditt ◽  
Hamish Hann ◽  
Kerstin Stahl ◽  
Lars Ribbe
Keyword(s):  
Drought Risk ◽  
Tropical Environments

scholarly journals Evaluating drought risk in data scarce tropical environments

2019 ◽  
Author(s):  
Alexandra Nauditt ◽  
Hamish Hann ◽  
Kerstin Stahl ◽  
Lars Ribbe
Keyword(s):  
Drought Risk ◽  
Tropical Environments

Use of Tropical Environments in Breeding for Oil Composition of Soybean Genotypes Adapted to Temperate Climates 1

Crop Science ◽  
1983 ◽  
Vol 23 (5) ◽  
pp. 897-899 ◽  
Author(s):  
S. E. Hawkins ◽  
W. R. Fehr ◽  
E. G. Hammond ◽  
S. Rodriguez de Cianzio
Keyword(s):  
Oil Composition ◽  
Tropical Environments ◽  
Soybean Genotypes ◽  
Temperate Climates

Dietary overlap and food resource partitioning among fish species of a tropical estuary in Northeastern Brazil

Gaia Scientia ◽  
2016 ◽  
Vol 10 (4) ◽  
pp. 86-95 ◽  
Author(s):  
Adna Ferreira da Silva Garcia ◽  
Ana Lúcia Vendel
Keyword(s):  
Resource Partitioning ◽  
Species Coexistence ◽  
Food Resource ◽  
River Estuary ◽  
Niche Overlap ◽  
Northeastern Brazil ◽  
Dietary Overlap ◽  
Feeding Niche ◽  
Tropical Environments ◽  
Food Resource Partitioning

The current work investigates dietary overlap and food partitioning among nine abundant carnivorous fishes caught in the shallow waters of the Paraíba do Norte river estuary, Paraíba State, Brazil. Fishes were sampled with a beach seine net between January and December 2008 and a total of 958 specimens had their stomach content analyzed. Crustacea was the dominant food resource for Lutjanus alexandrei, L. jocu and Bathygobius soporator, whereas Telostei were consumed mainly by Centropomus undecimalis and C. parallelus. In contrast, Polychaeta were preyed upon mainly by Diapterus rhombeus, Eucinostomus argenteus, Sciades herzbergii and S. parkeri. Although most species consumed similar food items, they did that in varying proportions and amounts. Overall, the niche overlap among species was low (< 0.60), but there were several cases where pair of species had their feeding niche highly overlapped (between 0.72 and 0.97). These findings corroborate the hypothesis that food resource partitioning determines species coexistence in estuarine tropical environments.

scholarly journals Seasonal streamflow forecasting by conditioning climatology with precipitation indices

2017 ◽  
Vol 21 (3) ◽  
pp. 1573-1591 ◽  
Author(s):  
Louise Crochemore ◽  
Maria-Helena Ramos ◽  
Florian Pappenberger ◽  
Charles Perrin
Keyword(s):  
Long Range ◽  
Precipitation Forecast ◽  
Low Flow ◽  
Drought Risk ◽  
Streamflow Forecasting ◽  
Streamflow Forecasts ◽  
Precipitation Indices ◽  
Seasonal Streamflow ◽  
Prediction Approach ◽  
The Impact

Abstract. Many fields, such as drought-risk assessment or reservoir management, can benefit from long-range streamflow forecasts. Climatology has long been used in long-range streamflow forecasting. Conditioning methods have been proposed to select or weight relevant historical time series from climatology. They are often based on general circulation model (GCM) outputs that are specific to the forecast date due to the initialisation of GCMs on current conditions. This study investigates the impact of conditioning methods on the performance of seasonal streamflow forecasts. Four conditioning statistics based on seasonal forecasts of cumulative precipitation and the standardised precipitation index were used to select relevant traces within historical streamflows and precipitation respectively. This resulted in eight conditioned streamflow forecast scenarios. These scenarios were compared to the climatology of historical streamflows, the ensemble streamflow prediction approach and the streamflow forecasts obtained from ECMWF System 4 precipitation forecasts. The impact of conditioning was assessed in terms of forecast sharpness (spread), reliability, overall performance and low-flow event detection. Results showed that conditioning past observations on seasonal precipitation indices generally improves forecast sharpness, but may reduce reliability, with respect to climatology. Conversely, conditioned ensembles were more reliable but less sharp than streamflow forecasts derived from System 4 precipitation. Forecast attributes from conditioned and unconditioned ensembles are illustrated for a case of drought-risk forecasting: the 2003 drought in France. In the case of low-flow forecasting, conditioning results in ensembles that can better assess weekly deficit volumes and durations over a wider range of lead times.

scholarly journals Characteristics and Controlling Factors of the Drought Runoff Coefficient

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1259
Author(s):  
Rei Itsukushima
Keyword(s):  
Land Use ◽  
Resource Management ◽  
Water Resource ◽  
Water Resource Management ◽  
Controlling Factors ◽  
Low Flow ◽  
Drought Risk ◽  
Runoff Coefficient ◽  
Topographical Factors ◽  
The Relationship

Increasing water demand due to population growth, economic development, and changes in rainfall patterns due to climate change are likely to alter the duration and magnitude of droughts. Understanding the relationship between low-flow conditions and controlling factors relative to the magnitude of a drought is important for establishing sustainable water resource management based on changes in future drought risk. This study demonstrates the relationship between low-flow and controlling factors under different severities of drought. I calculated the drought runoff coefficient for six types of occurrence probability, using past observation data of annual total discharge and precipitation in the Japanese archipelago, where multiple climate zones exist. Furthermore, I investigated the pattern of change in the drought runoff coefficient in accordance with the probability of occurrence of drought, and relationships among the coefficient and geological, land use, and topographical factors. The drought runoff coefficient for multiple drought magnitudes exhibited three behaviors, corresponding to the pattern of precipitation. Results from a generalized linear model (GLM) revealed that the controlling factors differed depending on the magnitude of the drought. During high-frequency droughts, the drought runoff coefficient was influenced by geological and vegetation factors, whereas land use and topographical factors influenced the drought runoff coefficient during low-frequency droughts. These differences were caused by differences in runoff, which dominated stream discharge, depending on the magnitude of the drought. Therefore, for effective water resource management, estimation of the volume of drought runoff needs to consider the pattern of precipitation, geology, land use, and topography.

Mushroom Mycelium Regeneration in Tropical Environments

2020 ◽  
Author(s):  
Belle Sullivan ◽  
Marc Rubin ◽  
David Tauman ◽  
Asgar Ali ◽  
Khanjan Mehta
Keyword(s):  
Tropical Environments

Ambient volatile organic compounds in tropical environments: Potential sources, composition and impacts – A review

Chemosphere ◽  
2021 ◽  
pp. 131355
Author(s):  
Norfazrin Mohd Hanif ◽  
Nor Syamimi Sufiera Limi Hawari ◽  
Murnira Othman ◽  
Haris Hafizal Abd Hamid ◽  
Fatimah Ahamad ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Tropical Environments ◽  
Volatile Organic ◽  
Potential Sources
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