scholarly journals Spatial and temporal variation of coral recruitment in Taiwan

Coral Reefs ◽  
2003 ◽  
Vol 22 (3) ◽  
pp. 224-228 ◽  
Author(s):  
Keryea Soong ◽  
Ming-hui Chen ◽  
Chao-lun Chen ◽  
Chang-feng Dai ◽  
Tung-yung Fan ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Coral Recruitment

scholarly journals Spatial and Temporal Variation of Scleractinian Coral Recruitment in Balok Coastal Waters and Bidong Island, Malaysia

2021 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Fikri Akmal Khodzori ◽  
Shahbudin Saad ◽  
Husaini Rani
Keyword(s):  
Coral Reef ◽  
Temporal Variation ◽  
Environmental Conditions ◽  
Coastal Waters ◽  
Scleractinian Coral ◽  
Larval Settlement ◽  
Artificial Reef ◽  
Spatial And Temporal Variation ◽  
Coral Recruitment ◽  
Recruitment Patterns

Understanding coral recruitment is important as increasing of regional decline of coral reef worldwide. This study aimed to investigate the spatial and temporal coral recruitment patterns around reef sites in Balok coastal waters and Bidong Island, Malaysia. Recruitment density was determined by quantifying number of coral recruits settled on the terra-cotta tiles and artificial reef settlement plates. In Balok coastal waters, a total of 159 coral recruits were counted with 0.09 ± 0.03 n/m2 mean recruitment density per plate, while in Bidong Island, a total of 319 coral recruits were counted with 0.19 ± 0.02 n/m2 mean recruitment density per plate. Coral recruits were dominated by genus Pocillopora followed by Stylopora and Seriatopora in Bidong. Meanwhile in Balok, genus Platygyra was dominant coral recruits followed by Porites and Fungia. Additionally, minor spawning event was predicted in Balok coastal waters in September due to increase number of Platygyra coral. Recruitment density varied significantly between locations, types of settlement plates and plate’s orientation at both study areas. Current findings highlighted the significant use of artificial reef plates to increase the chances of larval settlement. This research also provides important information in assessing coral resilience towards different environmental conditions between coastal and sheltered reef areas.

SPATIAL AND TEMPORAL VARIATION IN GROUNDWATER GEOCHEMISTRY IN THE HIGH PLAINS AQUIFER SYSTEM, SOUTHCENTRAL KANSAS

2016 ◽  
Author(s):  
Alexandria D. Richard ◽  
◽  
Adam E. Lane ◽  
Janet M. Paper ◽  
Ben R. Haller ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
High Plains ◽  
High Plains Aquifer ◽  
Aquifer System ◽  
Groundwater Geochemistry

scholarly journals Spatial and Temporal Variation Characteristics of Snowfall in the Haihe River Basin from 1960 to 2016

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1798
Author(s):  
Xu Wu ◽  
Su Li ◽  
Bin Liu ◽  
Dan Xu
Keyword(s):  
Temporal Variation ◽  
River Basin ◽  
Spatial And Temporal Variation ◽  
Haihe River Basin ◽  
Temperature Threshold ◽  
Threshold Method ◽  
Exponential Equation ◽  
Haihe River ◽  
The Haihe River Basin ◽  
Different Levels

The spatio-temporal variation of precipitation under global warming had been a research hotspot. Snowfall is an important part of precipitation, and its variabilities and trends in different regions have received great attention. In this paper, the Haihe River Basin is used as a case, and we employ the K-means clustering method to divide the basin into four sub-regions. The double temperature threshold method in the form of the exponential equation is used in this study to identify precipitation phase states, based on daily temperature, snowfall, and precipitation data from 43 meteorological stations in and around the Haihe River Basin from 1960 to 1979. Then, daily snowfall data from 1960 to 2016 are established, and the spatial and temporal variation of snowfall in the Haihe River Basin are analyzed according to the snowfall levels as determined by the national meteorological department. The results evalueted in four different zones show that (1) the snowfall at each meteorological station can be effectively estimated at an annual scale through the exponential equation, for which the correlation coefficient of each division is above 0.95, and the relative error is within 5%. (2) Except for the average snowfall and light snowfall, the snowfall and snowfall days of moderate snow, heavy snow, and snowstorm in each division are in the order of Zones III > IV > I > II. (3) The snowfall and the number of snowfall days at different levels both show a decreasing trend, except for the increasing trend of snowfall in Zone I. (4) The interannual variation trend in the snowfall at the different levels are not obvious, except for Zone III, which shows a significant decreasing trend.

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