Spatial and Temporal Patterns of Factors Influencing Phytoplankton in a Salt Wedge Estuary, the Swan River, Western Australia

Estuaries ◽  
1998 ◽  
Vol 21 (4) ◽  
pp. 801 ◽  
Author(s):  
Peter A. Thompson
Keyword(s):  
Western Australia ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Salt Wedge ◽  
Factors Influencing ◽  
Swan River

Damage caused by insects and fungi to eucalypt foliage: spatial and temporal patterns in Mediterranean forest of Western Australia

1993 ◽  
Vol 58 (1-2) ◽  
pp. 85-110 ◽  
Author(s):  
I. Abbott ◽  
P. Van Heurck ◽  
T. Burbidge ◽  
M. Williams
Keyword(s):  
Western Australia ◽  
Temporal Patterns ◽  
Mediterranean Forest ◽  
Spatial And Temporal Patterns

scholarly journals Spatial and temporal patterns of nature-based tourism interactions with whale sharks (Rhincodon typus) at Ningaloo Reef, Western Australia

2014 ◽  
Vol 148 ◽  
pp. 109-119 ◽  
Author(s):  
Douglas J. Anderson ◽  
Halina T. Kobryn ◽  
Brad M. Norman ◽  
Lars Bejder ◽  
Julian A. Tyne ◽  
...  
Keyword(s):  
Western Australia ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Rhincodon Typus ◽  
Ningaloo Reef ◽  
Whale Sharks

scholarly journals Spatial and Temporal Patterns of Aspergillus flavus Strain Composition and Propagule Density in Yuma County, Arizona, Soils

Plant Disease ◽  
1997 ◽  
Vol 81 (8) ◽  
pp. 911-916 ◽  
Author(s):  
Thomas V. Orum ◽  
Donna M. Bigelow ◽  
Merritt R. Nelson ◽  
Donald R. Howell ◽  
Peter J. Cotty
Keyword(s):  
Spatial Scale ◽  
Aspergillus Flavus ◽  
Temporal Patterns ◽  
Aflatoxin Production ◽  
Spatial Proximity ◽  
Cotton Boll ◽  
Spatial And Temporal Patterns ◽  
Factors Influencing ◽  
Close Spatial Proximity ◽  
Nested Analysis

Aspergillus flavus isolates from Arizona can be divided into S and L strains on the basis of sclerotial morphology. These genetically distinct strains differ in aflatoxin production. To help understand factors influencing the aflatoxin producing potential of A. flavus communities, spatial and temporal patterns of strain incidence were compared with patterns of A. flavus propagule density in Yuma County soils. Strain S isolates were found in all sampled fields, but the percentage of strain S isolates ranged from 4 to 93%. A nested analysis of variance was used to determine the spatial scale at which most variability in strain composition and propagule density occurred. For both variables, the largest component of variance occurred among fields within areas at a spatial scale of 1 to 5 km. There was also spatial structure (12 to 21% of the variance) at the subregional level (> 20 km) in strain composition, but not in propagule density. Temporal patterns for both variables were similar. The sampling periods with the highest incidence of strain S isolates, August 1994 (60%) and July 1995 (62%), occurred during cotton boll formation. The regional average for A. flavus propagule density was near 1000 propagules/g in the summer, but less than 100 propagules/g in the spring. The results suggest that insights into factors influencing the toxigenicity and propagule density of A. flavus communities might be achieved most readily by contrasting fields in close spatial proximity.

Seasonal changes in major ions, nutrients and chlorophyll a at two sites in the Swan River estuary, Western Australia

2006 ◽  
Vol 57 (8) ◽  
pp. 803 ◽  
Author(s):  
D. P. Hamilton ◽  
G. B. Douglas ◽  
J. A. Adeney ◽  
L. C. Radke
Keyword(s):  
Chlorophyll A ◽  
Western Australia ◽  
Major Ions ◽  
River Estuary ◽  
Sediment Surface ◽  
Salt Wedge ◽  
Riverine Discharge ◽  
Annual Variations ◽  
Bottom Waters ◽  
Swan River

Seasonal variations in major ions, nutrients and chlorophyll a were examined at two sites in the upper reaches of the Swan River estuary, Western Australia. Intra-annual variations between the variables were strongly influenced by seasonal riverine discharge, though major ions behaved highly conservatively across a wide range of salinity. Reduced discharge following winter produced strong density stratification that coincided with upstream salt wedge propagation and produced distinct physico-chemical identities of surface and bottom waters. Anoxia of bottom waters associated with the salt wedge region induced increased concentrations of ammonium and phosphate, especially at the deeper of the two sites. Locally variable groundwater flow may have also been important in transporting sediment porewater nutrients into the water column. The seasonality of riverine discharge produced large intra-annual variations in temperature (13–29°C) and salinity (3–30). Transient increases in turbidity occurred when the salt wedge coincided with the position of sampling locations. The subsequent flocculation process likely contributed to further oxygen consumption and nutrient regeneration from the bottom sediments, while simultaneously depositing nutrient-rich flocs with low molar N:P ratios (3–8) to the sediment surface. Nutrient ratios and absolute nutrient concentrations suggest that nitrogen is the nutrient most likely to limit phytoplankton growth over most of the year.

Spatial and temporal patterns in catch rates from multispecies shark fisheries in Western Australia

2021 ◽  
Vol 213 ◽  
pp. 105883
Author(s):  
Matias Braccini ◽  
Ainslie Denham ◽  
Michael F. O'Neill ◽  
Eva Lai
Keyword(s):  
Western Australia ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Catch Rates ◽  
Shark Fisheries

SPATIAL AND TEMPORAL PATTERNS OF GROUNDWATER ELEVATION AND SALINITY ON ASSATEAGUE ISLAND

2016 ◽  
Author(s):  
Ruth Coffey ◽  
◽  
Hannah Sprinkle ◽  
Eric Sherry ◽  
Brian Sturgis ◽  
...  
Keyword(s):  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Assateague Island

LEVERAGING MACHINE LEARNING TO INFORM SPATIAL AND TEMPORAL PATTERNS IN DEEP-SEA CORAL BIODIVERSITY, GULF OF MEXICO AND US WEST ATLANTIC

2019 ◽  
Author(s):  
Alexander N. Zimmerman ◽  
◽  
Claudia C. Johnson ◽  
Nicholas W. Bussberg ◽  
Mehmet M. Dalkilic
Keyword(s):  
Machine Learning ◽  
Gulf Of Mexico ◽  
Deep Sea ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Us West
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