Distinguishing Microsite and Competition Processes in Tree Growth Dynamics: An a Priori Spatial Modeling Approach

2007 ◽  
Vol 169 (5) ◽  
pp. 647
Author(s):  
Fajardo ◽  
Eliot J. B. McIntire
Keyword(s):  
Tree Growth ◽  
Spatial Modeling ◽  
A Priori ◽  
Growth Dynamics ◽  
Modeling Approach

scholarly journals A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain

2019 ◽  
Vol 114 (527) ◽  
pp. 1081-1096 ◽  
Author(s):  
Shahin Tavakoli ◽  
Davide Pigoli ◽  
John A. D. Aston ◽  
John S. Coleman
Keyword(s):  
Great Britain ◽  
Spatial Modeling ◽  
Modeling Approach

scholarly journals Assessing the Performance of the WOFOST Model in Simulating Jujube Fruit Tree Growth under Different Irrigation Regimes

2019 ◽  
Vol 11 (5) ◽  
pp. 1466 ◽  
Author(s):  
Tiecheng Bai ◽  
Nannan Zhang ◽  
Youqi Chen ◽  
Benoit Mercatoris
Keyword(s):  
Tree Growth ◽  
Irrigation Treatment ◽  
Growth Dynamics ◽  
Cropping System ◽  
Fruit Tree ◽  
Total Biomass ◽  
Full Irrigation ◽  
Area Index ◽  
Jujube Fruit ◽  
Irrigation Treatments

Cropping system models are widely employed to evaluate plant water requirements and growth situations. However, these models rarely focus on growth studies of perennial fruit trees. The aim of this study was to evaluate the performance of the WOFOST (WOrld FOod STudies) model in simulating jujube fruit tree growth under different irrigation treatments. The model was calibrated on data obtained from full irrigation treatments in 2016 and 2017. The model was validated on four deficit percentages (60%, 70%, 80%, and 90%) and one full irrigation treatment from 2016 to 2018. Calibrated R2 and RMSE values of simulated versus measured soil moisture content, excluding samples on the day of irrigation and first day after irrigation, reached 0.94 and 0.005 cm3 cm−3. The model reproduced growth dynamics of the total biomass and leaf area index, with a validated R2 = 0.967 and RMSE = 0.915 t ha−1, and R2 = 0.962 and RMSE = 0.160 m2 m−2, respectively. The model also showed good global performance, with R2 = 0.86 and RMSE = 0.51 t ha−1, as well as good local agreement (R2   ≥   0.8 ) and prediction accuracy (RMSE ≤   0.62 t ha−1) for each growth season. Furthermore, 90% of full irrigation can be recommended to achieve a balance between jujube yields and water savings (average decline ratio of yield ≤ 3.8%).

scholarly journals A Spatial Modeling Approach to Predicting the Secondary Spread of Invasive Species Due to Ballast Water Discharge

PLoS ONE ◽  
2014 ◽  
Vol 9 (12) ◽  
pp. e114217 ◽  
Author(s):  
Jennifer L. Sieracki ◽  
Jonathan M. Bossenbroek ◽  
W. Lindsay Chadderton
Keyword(s):  
Invasive Species ◽  
Spatial Modeling ◽  
Ballast Water ◽  
Water Discharge ◽  
Secondary Spread ◽  
Modeling Approach
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