scholarly journals A spatially explicit model of postdisaster housing recovery

2019 ◽  
Vol 35 (2) ◽  
pp. 150-161 ◽  
Author(s):  
Ali Nejat ◽  
Roxana J. Javid ◽  
Souparno Ghosh ◽  
Saeed Moradi
Keyword(s):  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Housing Recovery

scholarly journals Comparing Phylogeographic Hypotheses by Simulating DNA Sequences under a Spatially Explicit Model of Coalescence

2014 ◽  
Vol 31 (12) ◽  
pp. 3359-3372 ◽  
Author(s):  
Simon Dellicour ◽  
Chedly Kastally ◽  
Olivier J. Hardy ◽  
Patrick Mardulyn
Keyword(s):  
Dna Sequences ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model

scholarly journals Spatiotemporal dynamics of soil phosphorus and crop uptake in global cropland during the 20th century

2017 ◽  
Vol 14 (8) ◽  
pp. 2055-2068 ◽  
Author(s):  
Jie Zhang ◽  
Arthur H. W. Beusen ◽  
Dirk F. Van Apeldoorn ◽  
José M. Mogollón ◽  
Chaoqing Yu ◽  
...  
Keyword(s):  
Crop Production ◽  
Soil Phosphorus ◽  
Fertilizer Application ◽  
P Uptake ◽  
Vital Role ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Soil P ◽  
Crop Uptake

Abstract. Phosphorus (P) plays a vital role in global crop production and food security. In this study, we investigate the changes in soil P pool inventories calibrated from historical countrywide crop P uptake, using a 0.5-by-0.5° spatially explicit model for the period 1900–2010. Globally, the total P pool per hectare increased rapidly between 1900 and 2010 in soils of Europe (+31 %), South America (+2 %), North America (+15 %), Asia (+17 %), and Oceania (+17 %), while it has been stable in Africa. Simulated crop P uptake is influenced by both soil properties (available P and the P retention potential) and crop characteristics (maximum uptake). Until 1950, P fertilizer application had a negligible influence on crop uptake, but recently it has become a driving factor for food production in industrialized countries and a number of transition countries like Brazil, Korea, and China. This comprehensive and spatially explicit model can be used to assess how long surplus P fertilization is needed or how long depletions of built-up surplus P can continue without affecting crop yield.

scholarly journals A Spatially Explicit Model to Predict the Relative Risk of Golden Eagle Electrocutions in the Northwestern Plains, USA

2020 ◽  
Vol 54 (2) ◽  
pp. 110 ◽  
Author(s):  
Geoffrey Bedrosian ◽  
Jason D. Carlisle ◽  
Brian Woodbridge ◽  
Jeffrey R. Dunk ◽  
Zach P. Wallace ◽  
...  
Keyword(s):  
Relative Risk ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Golden Eagle ◽  
Spatially Explicit Model ◽  
Northwestern Plains

Improving the management of coexistence between GM and non-GM maize with a spatially explicit model of cross-pollination

2016 ◽  
Vol 77 ◽  
pp. 90-100 ◽  
Author(s):  
Benoît Ricci ◽  
Antoine Messéan ◽  
Agnès Lelièvre ◽  
François-Christophe Coléno ◽  
Frédérique Angevin
Keyword(s):  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Cross Pollination ◽  
Gm Maize

scholarly journals Climate change effects on Antarctic benthos: a spatially explicit model approach

2017 ◽  
Vol 141 (4) ◽  
pp. 733-746 ◽  
Author(s):  
Luciana Torre ◽  
Paulo C. Carmona Tabares ◽  
Fernando Momo ◽  
João F. C. A. Meyer ◽  
Ricardo Sahade
Keyword(s):  
Climate Change ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model ◽  
Climate Change Effects ◽  
Antarctic Benthos ◽  
Model Approach

A new spatially explicit model of population risk level grid identification for children and adults to urban soil PAHs

2020 ◽  
Vol 263 ◽  
pp. 114547 ◽  
Author(s):  
Fufu Li ◽  
Shaohua Wu ◽  
Yuanmin Wang ◽  
Daohao Yan ◽  
Lefeng Qiu ◽  
...  
Keyword(s):  
Urban Soil ◽  
Risk Level ◽  
Spatially Explicit ◽  
Explicit Model ◽  
Spatially Explicit Model
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