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Published By Scielo Comision Nacional De Investigacion Cientifica Y Tecnologica

0717-9200, 0304-8799
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scholarly journals Anatomy and cell wall chemistry of tension wood in Hibiscus cannabinus

2021 ◽  
Vol 42 (1) ◽  
pp. 99-110
Author(s):  
Pramod Sivan ◽  
Karumanchi S Rao ◽  
Kishore S Rajput
Keyword(s):  
Cell Wall ◽  
Tension Wood ◽  
Hibiscus Cannabinus ◽  
Cell Wall Chemistry

scholarly journals Biosolids as planting fertilization of tree species of the Atlantic forest and concentration of nutrients in soil layers

2021 ◽  
Vol 42 (1) ◽  
pp. 43-51
Author(s):  
Pedro Lima Filho ◽  
Rodrigo Ferreira Gomes ◽  
Juçara Garcia Ribeiro ◽  
Alan Henrique Marques de Abreu ◽  
Flávio Augusto Monteiro dos Santos ◽  
...  
Keyword(s):  
Atlantic Forest ◽  
Tree Species ◽  
Soil Layers

scholarly journals Proposal of two visual tree risk assessment methods for urban parks in Montevideo, Uruguay

2021 ◽  
Vol 42 (2) ◽  
pp. 259-268
Author(s):  
Ana Paula Coelho Duarte ◽  
Gustavo Daniluk Mosquera ◽  
Virginia Gravina ◽  
Andrés Hirigoyen ◽  
Óscar Vallejos Barra ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Urban Parks ◽  
Assessment Methods

scholarly journals Oribatid mite (Acari, Oribatida) richness and diversity in Oak forests of West Azerbaijan Province (Northwestern Iran)

2021 ◽  
Vol 42 (1) ◽  
pp. 81-88
Author(s):  
Mahtab Jabbari ◽  
Javad Eshaghi Rad ◽  
Zahra Hashemi Khabir ◽  
Seyed Rostam Mousavi Mirkala
Keyword(s):  
Oribatid Mite ◽  
Oak Forests ◽  
Northwestern Iran ◽  
West Azerbaijan

scholarly journals Soil organic carbon and dead biomass pools in woodlands from Monte region (Argentina)

2021 ◽  
Vol 42 (1) ◽  
pp. 67-79
Author(s):  
Marcos S Karlin ◽  
Ricardo M Zapata ◽  
Rubén O Coirini
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Dead Biomass

scholarly journals Machine learning for carbon stock prediction in a tropical forest in Southeastern Brazil

2021 ◽  
Vol 42 (1) ◽  
pp. 131-140
Author(s):  
Daniel Dantas ◽  
Marcela de Castro Nunes Santos Terra ◽  
Luis Paulo Baldissera Schorr ◽  
Natalino Calegario
Keyword(s):  
Machine Learning ◽  
Tropical Forest ◽  
Carbon Stock ◽  
Southeastern Brazil ◽  
Stock Prediction
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