Above-Ground Biomass Accumulation along a 230-Year Chronosequence in the Southern Portion of the Canadian Boreal Forest

1995 ◽  
Vol 83 (6) ◽  
pp. 1001 ◽  
Author(s):  
David Pare ◽  
Yves Bergeron
2003 ◽  
Vol 184 (1-3) ◽  
pp. 93-104 ◽  
Author(s):  
Michael S. Watt ◽  
Peter W. Clinton ◽  
David Whitehead ◽  
Brian Richardson ◽  
Euan G. Mason ◽  
...  

2016 ◽  
Vol 27 (6) ◽  
pp. 1313-1320 ◽  
Author(s):  
Vittoria Coletta ◽  
Giuliano Menguzzato ◽  
Gaetano Pellicone ◽  
Antonella Veltri ◽  
Pasquale Antonio Marziliano

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
JAMES G. KAIRO ◽  
MICHAEL NJOROGE GITHAIGA ◽  
KIPLAGAT KOTUT ◽  
FRANCIS KARIUKI

Abstract. Githaiga MN, Kotut K, Kariuki F, Kairo JG. 2019. Structure and biomass accumulation of natural mangrove forest at Gazi Bay, Kenya. Bonorowo Wetlands 9: 18-32. The goal of this study was to determine the forest structure and estimate biomass accumulation above and below ground in the mangrove forest of Gazi Bay. The western, middle, and eastern forest blocks of the Gazi Bay mangrove forest were investigated for forest structure, whereas the western forest block was determined for biomass accumulation. To calculate below-ground biomass accumulation, in-growth cores of 80 cm long, 20 cm broad, and 60 cm deep were employed. Above-ground biomass accumulation was calculated using data on tree height and stem diameter at breast height (DBH-130). Leaf phenology was observed by tagging shoots. At the start, environmental variables were measured every four months for a year across four mangrove species zones. The linear regeneration sampling approach was used to determine the composition and distribution pattern of natural regeneration (LRS). Salinity revealed a strong negative connection with above-ground biomass accumulation among the soil environment characteristics studied. Sonneratia alba had the highest biomass accretion rate of 10.5 1.9 t ha-1 yr-1 among the four forest zones. Rhizophora mucronata (8.5 0.8 t ha-1 yr-1), Avicennia marina (5.2 1.8 t ha-1 yr-1), and Ceriops tagal (2.6 1.5 t ha-1 yr-1) were the next most abundant species. Above-ground and below-ground biomass accumulation differed significantly among zones (F (3, 8) = 5.42, p = 0.025) and (F (3, 8) = 16.03, p = 0 001), respectively. There was a significant difference in total biomass accumulation across zones (F (3, 8) =15.56, p = 0.001). For the entire forest, a root : shoot biomass accumulation ratio of 2 : 5 was calculated. This study's findings provide more accurate estimates of mangrove carbon capture and storage, which can be used in carbon credit discussions in the emerging carbon market.


2008 ◽  
Vol 7 ◽  
pp. 109-114
Author(s):  
O.Y. Lokot ◽  
Y.P. Кornuta

The presowing treatment of flax with the microbic drug of complex action microgumin provides essential increase of productivity of culture. Such agricultural method promotes dynamics of above-ground biomass accumulation, improvement of biometric parameters of sowings and morphological features of plants.


2019 ◽  
Vol 432 ◽  
pp. 376-386 ◽  
Author(s):  
Sang Minh Phan ◽  
Huong Thuy Thi Nguyen ◽  
Trung Kim Nguyen ◽  
Catherine Lovelock

2020 ◽  
Vol 38 (3) ◽  
pp. 382-387
Author(s):  
Diego Quintero ◽  
Eliécer Díaz

An open-source model is a model that makes it possible to modify the source code. This tool can be a great advantage for the user since it allows changing or modifying some of the background theory of the model. World Food Studies (WOFOST) and AquaCropOS open-source crop models were compared using field recorded data. Both models are free open-source tools that allow evaluating the impacts of climate and water on agriculture. The objective of this research was to assess the model’s efficiency in simulating the yield and above-ground biomass formation of a potato crop on the Cundiboyacense plateau. WOFOST simulates biomass accumulation in the crop organs using partitioning of assimilates to establish the biomass fraction that turns into yield. AquaCropOS simulates total above-ground biomass accumulation using crop water productivity (WP) and considers the Harvest Index (HI) to calculate yield formation. Crop modules for both models were built using information recorded in previous studies by other authors; those works performed a physiological and phenological characterization of some potato varieties. It was found that the WOFOST model simulates yield formation better than AquaCropOS; despite that, AquaCropOS simulates total above-ground biomass better than WOFOST. However, AquaCropOS was as efficient as WOFOST in simulating yield formation.


Sign in / Sign up

Export Citation Format

Share Document