scholarly journals BEACH EROSION-ACCRETION AT TWO TIME SCALES

1980 ◽  
Vol 1 (17) ◽  
pp. 57 ◽  
Author(s):  
B.G. Thom ◽  
C.M. Bowman
Keyword(s):  
Time Scales ◽  
New South ◽  
New South Wales ◽  
Field Work ◽  
Beach Erosion ◽  
South Coast ◽  
Temporal Perspective ◽  
Shoreline Position ◽  
South Wales ◽  
Erosion And Accretion

Erosion and accretion on the beachface have been studied at two time scales on the central and south coast of New South Wales, Australia. This research aims at providing a temporal perspective to contemporary problems of beach erosion in areas where the historic map record of changes in shoreline position is poor. Field work has been concentrated at two localities Moruya (lat. 35° 53'S long. 150°09'E) and Newcastle Bight (lat. 32°48'S long. 151°55'E)(Fig. 1).

Cycad killer, qu'est-ce que c'est? Dieback of Macrozamia communis on the south coast of New South Wales

2021 ◽  
Vol 69 (2) ◽  
pp. 102
Author(s):  
Keith L. McDougall ◽  
Penelope J. Gullan ◽  
Phil Craven ◽  
Genevieve T. Wright ◽  
Lyn G. Cook
Keyword(s):  
New South ◽  
New South Wales ◽  
Scale Insect ◽  
South Coast ◽  
Management Tool ◽  
Sufficient Evidence ◽  
Cultivated Plants ◽  
The South ◽  
Extreme Caution ◽  
South Wales

The association of an armoured scale insect (a diaspidid) with dieback of a population of a native cycad (Macrozamia communis L.A.S.Johnson) was investigated on the south coast of New South Wales. The diaspidid was found to be undescribed but morphologically similar to oleander scale – here we call it Aspidiotus cf. nerii. It is probably native to Australasia and its current known distribution is within Murramarang National Park (MNP). Aspidiotus cf. nerii has been abundant on symptomatic M. communis at MNP over at least the past decade and has spread to new parts of the park. In population studies of infested and uninfested areas we found that, although both areas had populations with reverse J curves showing dominance of seedlings, mortality of seedlings and caulescent plants was significantly higher in infested sites. Infested areas had been burnt less frequently than uninfested areas. Fire does not appear to eradicate the diaspidid but may reduce its effects enough for plants to recover. We recommend further research into the use of fire as a management tool. Although other factors may be contributing to the severity of the dieback, we suggest there is sufficient evidence for the diaspidid to be regarded as the primary cause of dieback in M. communis in MNP, regardless of its origin. Given the occurrence of similar diaspidids on cultivated plants in botanic gardens, translocation of threatened Macrozamia species using plants grown in nurseries should be undertaken with extreme caution.

scholarly journals Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia

2020 ◽  
Vol 10 (12) ◽  
pp. 4254 ◽  
Author(s):  
Abhirup Dikshit ◽  
Biswajeet Pradhan ◽  
Abdullah M. Alamri
Keyword(s):  
Random Forest ◽  
Time Scales ◽  
New South ◽  
New South Wales ◽  
Second Phase ◽  
Drought Forecasting ◽  
Short Term ◽  
South Wales ◽  
Drought Classes ◽  
Statistical Metrics

Droughts can cause significant damage to agriculture and water resources, leading to severe economic losses and loss of life. One of the most important aspect is to develop effective tools to forecast drought events that could be helpful in mitigation strategies. The understanding of droughts has become more challenging because of the effect of climate change, urbanization and water management; therefore, the present study aims to forecast droughts by determining an appropriate index and analyzing its changes, using climate variables. The work was conducted in three different phases, first being the determination of Standard Precipitation Evaporation Index (SPEI), using global climatic dataset of Climate Research Unit (CRU) from 1901–2018. The indices are calculated at different monthly intervals which could depict short-term or long-term changes, and the index value represents different drought classes, ranging from extremely dry to extremely wet. However, the present study was focused only on forecasting at short-term scales for New South Wales (NSW) region of Australia and was conducted at two different time scales, one month and three months. The second phase involved dividing the data into three sample sizes, training (1901–2010), testing (2011–2015) and validation (2016–2018). Finally, a machine learning approach, Random Forest (RF), was used to train and test the data, using various climatic variables, e.g., rainfall, potential evapotranspiration, cloud cover, vapor pressure and temperature (maximum, minimum and mean). The final phase was to analyze the performance of the model based on statistical metrics and drought classes. Regarding this, the performance of the testing period was conducted by using statistical metrics, Coefficient of Determination (R2) and Root-Mean-Square-Error (RMSE) method. The performance of the model showed a considerably higher value of R2 for both the time scales. However, statistical metrics analyzes the variation between the predicted and observed index values, and it does not consider the drought classes. Therefore, the variation in predicted and observed SPEI values were analyzed based on different drought classes, which were validated by using the Receiver Operating Characteristic (ROC)-based Area under the Curve (AUC) approach. The results reveal that the classification of drought classes during the validation period had an AUC of 0.82 for SPEI 1 case and 0.84 for SPEI 3 case. The study depicts that the Random Forest model can perform both regression and classification analysis for drought studies in NSW. The work also suggests that the performance of any model for drought forecasting should not be limited only through statistical metrics, but also by examining the variation in terms of drought characteristics.

Structural evidence of the age of folded rocks on the south coast of New South Wales

1973 ◽  
Vol 19 (4) ◽  
pp. 465-470 ◽  
Author(s):  
M. A. Etheridge ◽  
D. M. Ransom ◽  
P. F. Williams ◽  
C. J. L. Wilson
Keyword(s):  
New South ◽  
New South Wales ◽  
South Coast ◽  
The South ◽  
South Wales

The relationship between vegetation patterns and environment on the south coast of New South Wales

1995 ◽  
Vol 72 (1) ◽  
pp. 71-80 ◽  
Author(s):  
I.A. Neave ◽  
S.M. Davey ◽  
J.J. Russell-Smith ◽  
R.G. Florence
Keyword(s):  
New South ◽  
New South Wales ◽  
South Coast ◽  
Vegetation Patterns ◽  
The South ◽  
South Wales ◽  
The Relationship

Performance of lucerne varieties on the south coast of New South Wales

1965 ◽  
Vol 5 (16) ◽  
pp. 44 ◽  
Author(s):  
H Daday
Keyword(s):  
New South ◽  
New South Wales ◽  
South Coast ◽  
The South ◽  
Valuable Contribution ◽  
South Wales

The performances of Hunter River and introduced varieties of lucerne were tested at Milton (south coast of N.S.W.). There were no significant differences in yield between any variety in spring or summer, but Hairy Peruvian, African, and Indian produced significantly more than Hunter River in winter. These introduced varieties could make a valuable contribution to the dairying industry of the south coast of N.S.W.

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