Aboveground biomass production of a semi-arid southern African savanna: towards a new model

2015 ◽  
Vol 33 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Anthony R Palmer ◽  
Igshaan Samuels ◽  
Clement Cupido ◽  
Andiswa Finca ◽  
W Fransiska Kangombe ◽  
...  
2020 ◽  
Vol 51 (1) ◽  
pp. 90-98
Author(s):  
Blazquez Francisco Rubén ◽  
Daniel Valerio Peláez ◽  
Romina Jessica Andrioli ◽  
Omar Raúl Elia

2014 ◽  
Vol 36 (3) ◽  
pp. 693-703 ◽  
Author(s):  
Rodinei Facco Pegoraro ◽  
Bruna Aparecida Madureira de Souza ◽  
Victor Martins Maia ◽  
Uirá do Amaral ◽  
Marlon Cristian Toledo Pereira

This study aimed to evaluate the growth characteristics of irrigated Vitória pineapple plants grown in semi-arid conditions and determine its developmental stages based on those characteristics. It was used a randomized block design with four replicates. The experimental treatments were: plant harvest at 270, 330, 390, 450, 510, 570, 690, 750, and 810 days after planting (DAP). The following variables were determined: plant height, stem diameter, D-leaf length, D-leaf fresh and dry mass, biomass production of plants and plant parts (organs), and vegetative biomass. Five phenological stages are proposed based on vegetative biomass production: < 20% biomass production (V1); 21-40% (V2); 41-60% (V3); 61-80% (V4); and > 80% (V5). The maximum growth rate for plant height, D-leaf length, and stem diameter was observed at the end of the phenological stage V1 (390-411 DAP), and at the end of stage V5 these plant traits had average values of 106, 82, and 7 cm, respectively. The maximum biomass accumulation rates were observed at stages V4 and V5, resulting in a final fruit yield and total fresh biomass of 72 t ha-1 and 326 t ha-1, respectively. Finally, we estimated that 80% of the accumulated biomass may remain in the field after fruit and slip harvest, and could be incorporated as plant residue into the soil.


2021 ◽  
Vol 25 (12) ◽  
pp. 6087-6106
Author(s):  
Veronika Forstner ◽  
Jannis Groh ◽  
Matevz Vremec ◽  
Markus Herndl ◽  
Harry Vereecken ◽  
...  

Abstract. Effects of climate change on the ecosystem productivity and water fluxes have been studied in various types of experiments. However, it is still largely unknown whether and how the experimental approach itself affects the results of such studies. We employed two contrasting experimental approaches, using high-precision weighable monolithic lysimeters, over a period of 4 years to identify and compare the responses of water fluxes and aboveground biomass to climate change in permanent grassland. The first, manipulative, approach is based on controlled increases of atmospheric CO2 concentration and surface temperature. The second, observational, approach uses data from a space-for-time substitution along a gradient of climatic conditions. The Budyko framework was used to identify if the soil ecosystem is energy limited or water limited. Elevated temperature reduced the amount of non-rainfall water, particularly during the growing season in both approaches. In energy-limited grassland ecosystems, elevated temperature increased the actual evapotranspiration and decreased aboveground biomass. As a consequence, elevated temperature led to decreasing seepage rates in energy-limited systems. Under water-limited conditions in dry periods, elevated temperature aggravated water stress and, thus, resulted in reduced actual evapotranspiration. The already small seepage rates of the drier soils remained almost unaffected under these conditions compared to soils under wetter conditions. Elevated atmospheric CO2 reduced both actual evapotranspiration and aboveground biomass in the manipulative experiment and, therefore, led to a clear increase and change in seasonality of seepage. As expected, the aboveground biomass productivity and ecosystem efficiency indicators of the water-limited ecosystems were negatively correlated with an increase in aridity, while the trend was unclear for the energy-limited ecosystems. In both experimental approaches, the responses of soil water fluxes and biomass production mainly depend on the ecosystems' status with respect to energy or water limitation. To thoroughly understand the ecosystem response to climate change and be able to identify tipping points, experiments need to embrace sufficiently extreme boundary conditions and explore responses to individual and multiple drivers, such as temperature, CO2 concentration, and precipitation, including non-rainfall water. In this regard, manipulative and observational climate change experiments complement one another and, thus, should be combined in the investigation of climate change effects on grassland.


2007 ◽  
Vol 7 (6) ◽  
pp. 985-988 ◽  
Author(s):  
Idi Abdelkader ◽  
Ali Ferchichi . ◽  
Mohamed Chaieb .

Author(s):  
Eduarda Martiniano de Oliveira Silveira ◽  
Marcela Castro Nunes Santos Terra ◽  
Fausto Weimar Acerbi-Júnior ◽  
José Roberto Soares Scolforo

Geoderma ◽  
2019 ◽  
Vol 344 ◽  
pp. 137-143 ◽  
Author(s):  
Zi-Qiang Yuan ◽  
Chao Fang ◽  
Rong Zhang ◽  
Feng-Min Li ◽  
Muhammad Mansoor Javaid ◽  
...  

1989 ◽  
Vol 5 (4) ◽  
pp. 375-386 ◽  
Author(s):  
Safianu Rabiu ◽  
Martin Fisher

ABSTRACTThe breeding season and diet of the rat Arvicanthis was monitored from December 1983 to November 1985 in the semi-arid Sudan savanna at Kano, Nigeria, West Africa. Breeding began 1–2 months before the start of the rainy season and ceased at the beginning of the dry season. The diet of Arvicanthis was omnivorous, but with seasonal differences. Monocotyledons and dicotyledons predominated in the diet in the dry season, with seeds and insects increasing in the diet in the rainy season. The major differences between the ecology of Arvicanthis at Kano and on the East African savanna were that in East Africa the breeding season is longer and begins after the start of the rainy season. These and other dissimilarities between the biology of Arvicanthis in the two areas could be due to the effect of climatic differences on food supply and to the possible existence of different taxonomic groupings of Arvicanthis in the two regions.


2018 ◽  
Vol 10 (4) ◽  
pp. 532 ◽  
Author(s):  
Luodan Cao ◽  
Jianjun Pan ◽  
Ruijuan Li ◽  
Jialin Li ◽  
Zhaofu Li

Agronomy ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1813
Author(s):  
Andreas Tewes ◽  
Carsten Montzka ◽  
Manuel Nolte ◽  
Gunther Krauss ◽  
Holger Hoffmann ◽  
...  

The Sentinel-2 (S2) Toolbox permits for the automated retrieval of leaf area index (LAI). LAI assimilation into crop simulation models could aid to improve the prediction accuracy for biomass at field level. We investigated if the combined effects of assimilation date and corresponding growth stage plus observational frequency have an impact on the crop model-based simulation of water stress and biomass production. We simulated winter wheat growth in nine fields in Germany over two years. S2 LAI estimations for each field were categorized into three phases, depending on the development stage of the crop at acquisition date (tillering, stem elongation, booting to flowering). LAI was assimilated in every possible combinational setup using the ensemble Kalman filter (EnKF). We evaluated the performance of the simulations based on the comparison of measured and simulated aboveground biomass at harvest. The results showed that the effects on water stress remained largely limited, because it mostly occurred after we stopped LAI assimilation. With regard to aboveground biomass, we found that the assimilation of only one LAI estimate from either the tillering or the booting to flowering stage resulted in simulated biomass values similar or closer to measured values than in those where more than one LAI estimate from the stem elongation phase were assimilated. LAI assimilation after the tillering phase might therefore be not necessarily required, as it may not lead to the desired improvement effect.


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