Dynamics and drivers of aboveground biomass accumulation during recovery from selective harvesting in an uneven-aged forest

2021 ◽  
Author(s):  
Yan Geng ◽  
Qingmin Yue ◽  
Chunyu Zhang ◽  
Xiuhai Zhao ◽  
Klaus von Gadow
Keyword(s):  
Aboveground Biomass ◽  
Biomass Accumulation ◽  
Selective Harvesting

scholarly journals Aboveground Biomass Accumulation in a Tropical Wet Forest in Nicaragua Following a Catastrophic Hurricane Disturbance1

Biotropica ◽  
2005 ◽  
Vol 37 (4) ◽  
pp. 600-608 ◽  
Author(s):  
Joseph Mascaro ◽  
Ivette Perfecto ◽  
Oton Barros ◽  
Douglas H. Boucher ◽  
Inigo Granzow de la Cerda ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Biomass Accumulation ◽  
Tropical Wet Forest

scholarly journals Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools and turnover in temperate forests

2017 ◽  
Author(s):  
Francesc Montané ◽  
Andrew M. Fox ◽  
Avelino F. Arellano ◽  
Natasha MacBean ◽  
M. Ross Alexander ◽  
...  
Keyword(s):  
Primary Production ◽  
Aboveground Biomass ◽  
Land Surface ◽  
Turnover Rate ◽  
Land Surface Model ◽  
Biomass Accumulation ◽  
Deciduous Forests ◽  
Surface Model ◽  
Allocation Scheme

Abstract. How carbon (C) is allocated to different plant tissues (leaves, stem and roots) determines C residence time and thus remains a central challenge for understanding the global C cycle. We used a diverse set of observations (AmeriFlux eddy covariance tower observations, biomass estimates from tree-ring data, and Leaf Area Index (LAI) measurements) to compare C fluxes, pools, and LAI data with those predicted by a Land Surface Model (LSM), the Community Land Model (CLM4.5). We ran CLM for nine temperate (including evergreen and deciduous) forests in North America between 1980 and 2013 using four different C allocation schemes: i) Dynamic C allocation scheme (named "D-CLM") with one dynamic allometric parameter, which allocates C to the stem and leaves to vary in time as a function of annual Net Primary Production (NPP). ii) An alternative dynamic C allocation scheme (named "D-Litton"), where, similar to (i) C allocation is a dynamic function of annual NPP, but unlike (i) includes two dynamic allometric parameters involving allocation to leaves, stem and coarse roots iii–iv) Two fixed C allocation schemes, one representative of observations in evergreen (named "F-Evergreen") and the other of observations in deciduous forests (named "F-Deciduous"). D-CLM generally overestimated Gross Primary Production (GPP) and ecosystem respiration, and underestimated Net Ecosystem Exchange (NEE). In D-CLM, initial aboveground biomass in 1980 was largely overestimated (between 10527 and 12897 g Cm-2) for deciduous forests, whereas aboveground biomass accumulation through time (between 1980 and 2011) was highly underestimated (between 1222 and 7557 g Cm-2) for both evergreen and deciduous sites due to a lower stem turnover rate in the sites than the one used in the model. D-CLM overestimated LAI in both evergreen and deciduous sites because the leaf C-LAI relationship in the model did not match the observed leaf C-LAI relationship at our sites. Although the four C allocation schemes gave similar results for aggregated C fluxes, they translated to important differences in long-term aboveground biomass accumulation and aboveground NPP. For deciduous forests, D-Litton gave more realistic Cstem/Cleaf ratios and strongly reduced the overestimation of initial aboveground biomass, and aboveground NPP for deciduous forests by D-CLM. We identified key structural and parameterization deficits that need refinement to improve the accuracy of LSMs in the near future. That could be done by addressing some of the current model assumptions about C allocation and the associated parameter uncertainty. Our results highlight the importance of using aboveground biomass data to evaluate and constrain the C allocation scheme in the model, and in particular, the sensitivity to the stem turnover rate. Revising these will be critical to improving long-term C processes in LSMs, and improve their projections of biomass accumulation in forests.

Tiller production and dry matter accumulation in six creeping bentgrass genotypes grown in Manitoba

1991 ◽  
Vol 71 (2) ◽  
pp. 595-599 ◽  
Author(s):  
D. J. Cattani ◽  
M. H. Entz ◽  
K. C. Bamford
Keyword(s):  
Aboveground Biomass ◽  
Dry Matter ◽  
Biomass Accumulation ◽  
Creeping Bentgrass ◽  
Dry Weight ◽  
Dry Matter Accumulation ◽  
Agrostis Palustris ◽  
Putting Green ◽  
Green Core ◽  
Tiller Density

Tiller production and dry matter accumulation were monitored in six creeping bentgrass (Agrostis palustris Hud.) genotypes maintained as a putting green. Core samples for tiller density and aboveground biomass determinations were collected at intervals between October 1987 and October 1989. Two experimental lines, UM84-01 and UM86-01, produced more (P < 0.05) tillers and higher (P < 0.05) aboveground biomass than the commercial cultivars Penneagle, National, Emerald and Seaside. Both tiller density and aboveground biomass rankings among genotypes were consistent over the study period. Although lower tillering genotypes had a significantly higher aboveground biomass per tiller, total aboveground biomass was influenced more by tiller density than by biomass per tiller. The relationship between tiller density and tiller dry weight was expressed mathematically to determine potential wear stress resistance among genotypes. Key words: Creeping bentgrass, tillering, biomass accumulation

Influence of soil and topography on aboveground biomass accumulation and carbon stocks of afforested pastures in South East Brazil

2014 ◽  
Vol 73 ◽  
pp. 126-131 ◽  
Author(s):  
Dietmar Sattler ◽  
Lara Thelle Murray ◽  
André Kirchner ◽  
André Lindner
Keyword(s):  
Aboveground Biomass ◽  
Biomass Accumulation ◽  
Carbon Stocks

scholarly journals Changes in mangrove tree mortality, forest canopy, and aboveground biomass accumulation rates following the 2017 hurricane season in Puerto Rico and the role of urbanization

2018 ◽  
Author(s):  
Benjamin L. Branoff
Keyword(s):  
Aboveground Biomass ◽  
Repeated Measures ◽  
Forest Canopy ◽  
Tree Mortality ◽  
Biomass Accumulation ◽  
Initial Response ◽  
Canopy Closure ◽  
Mangrove Tree ◽  
Hurricane Season

AbstractMangrove ecosystem responses to tropical cyclones have been well documented over the last half a century, resulting in repeated measures of tree mortality, aboveground biomass reduction, and recovery by species, size, and geomorphology. However, no studies have investigated the role of urbanization in mangrove hurricane resistance and resilience, despite increasing urbanization of tropical shorelines. This study gauges the initial response and short-term recovery of Puerto Rico’s mangroves along well defined and quantified urban gradients following the 2017 hurricane season. Survival probability of tagged trees decreased with time, and the mean mortality across all sites was 22% after eleven months. Mean canopy closure loss was 51% one month after the hurricanes, and closure rates also decreased with time following the storms. Aboveground biomass accumulation decreased by 3.5 kg yr-1per tree, corresponding to a reduction of 4.5 Mg ha-1yr-1at the stand level. One year later, the mangroves have recovered to 72% canopy closure and to nearly 60% of their pre-storm growth rates. No connection to urbanization could be detected in the measured dynamics. Instead, species, size and geomorphology were found to play a role. Larger trees suffered 25% more mortality than smaller size classes, andLaguncularia racemosasuffered 11% less mortality than other species. Hydro-geomorphology was also found to play a role, with forests in tidally restricted canals experiencing more canopy loss but faster recovery than open embayment systems. These findings suggest size, species, and geomorphology are important in mangrove resistance and resilience to tropical storms, and that urbanization does not play a role. Managing mangrove ecosystems for optimal shoreline protection will depend upon knowing which forests are at greatest risk in a future of increasing urbanization.

scholarly journals Tolerance of Transplanted Seashore Dropseed to Pre- and Postemergence Herbicides

2010 ◽  
Vol 20 (4) ◽  
pp. 772-777 ◽  
Author(s):  
Orville C. Baldos ◽  
Joseph DeFrank ◽  
Glenn Sakamoto
Keyword(s):  
Acetic Acid ◽  
Weed Control ◽  
Aboveground Biomass ◽  
Field Experiments ◽  
Biomass Accumulation ◽  
Table Salt ◽  
Foliar Injury ◽  
Crop Response ◽  
Response Measures ◽  
Postemergence Herbicides

Field experiments were conducted to assess the tolerance of seashore dropseed (Sporobolus virginicus) to pre- and postemergence herbicides labeled for roadside right-of-way use. Dithiopyr (0.25 and 0.50 lb/acre a.i.), trifluralin + isoxaben (2.0 + 0.5 and 4.0 + 1.0 lb/acre a.i.), oxyfluorfen (0.25 and 0.50 lb/acre a.i.), oxadiazon (2.0 and 4.0 lb/acre a.i.), and granular table salt (99% sodium chloride, 1% sodium silicoaluminate; 83% of particles 0.5–0.25 mm in diameter, 400 lb/acre a.i.) were applied at 2 and 84 days after transplanting (DAT). Pre-emergence weed control with crop response measures as visual foliar injury ratings and aboveground biomass accumulation were recorded 38 days after the second application of herbicides (DAH2). Crop response to postemergence herbicides aminopyralid (1.10 lb/acre a.i.), triclopyr (3.0 lb/acre a.i.), a prepackaged mix of carfentrazone + (4-chloro-2-methylphenoxy)acetic acid + mecoprop + dicamba (0.02 + 1.11 + 0.22 + 0.11 lb/acre a.i.), and sulfosulfuron (0.06 lb/acre a.i.) applied at 70 and 98 DAT included visual foliar injury ratings and aboveground biomass accumulation at 28 DAH2. Although all pre-emergence herbicides (except table salt) exhibited acceptable weed control ratings, only oxadiazon and oxyfluorfen showed exceptional weed control and safety. The postemergence herbicide sulfosulfuron was the least injurious to seashore dropseed. The mixture of carfentrazone + (4-chloro-2-methylphenoxy)acetic acid + mecoprop + dicamba and triclopyr were the most injurious to seashore dropseed and should only be used as a directed spray treatment. An unintended overapplication of aminopyralid was phytotoxic, but it did not lead to complete plant death at 28 DAH2. These data identified oxadiazon, oxyfluorfen, and sulfosulfuron as safe and effective for establishing transplanted seashore dropseed plugs.

scholarly journals Evaluating the effect of alternative carbon allocation schemes in a land surface model (CLM4.5) on carbon fluxes, pools, and turnover in temperate forests

2017 ◽  
Vol 10 (9) ◽  
pp. 3499-3517 ◽  
Author(s):  
Francesc Montané ◽  
Andrew M. Fox ◽  
Avelino F. Arellano ◽  
Natasha MacBean ◽  
M. Ross Alexander ◽  
...  
Keyword(s):  
Primary Production ◽  
Aboveground Biomass ◽  
Land Surface ◽  
Land Surface Model ◽  
Biomass Accumulation ◽  
Deciduous Forests ◽  
Surface Model ◽  
Allocation Scheme ◽  
Tree Ring Data

Abstract. How carbon (C) is allocated to different plant tissues (leaves, stem, and roots) determines how long C remains in plant biomass and thus remains a central challenge for understanding the global C cycle. We used a diverse set of observations (AmeriFlux eddy covariance tower observations, biomass estimates from tree-ring data, and leaf area index (LAI) measurements) to compare C fluxes, pools, and LAI data with those predicted by a land surface model (LSM), the Community Land Model (CLM4.5). We ran CLM4.5 for nine temperate (including evergreen and deciduous) forests in North America between 1980 and 2013 using four different C allocation schemes: i. dynamic C allocation scheme (named "D-CLM4.5") with one dynamic allometric parameter, which allocates C to the stem and leaves to vary in time as a function of annual net primary production (NPP); ii. an alternative dynamic C allocation scheme (named "D-Litton"), where, similar to (i), C allocation is a dynamic function of annual NPP, but unlike (i) includes two dynamic allometric parameters involving allocation to leaves, stem, and coarse roots; iii.–iv. a fixed C allocation scheme with two variants, one representative of observations in evergreen (named "F-Evergreen") and the other of observations in deciduous forests (named "F-Deciduous"). D-CLM4.5 generally overestimated gross primary production (GPP) and ecosystem respiration, and underestimated net ecosystem exchange (NEE). In D-CLM4.5, initial aboveground biomass in 1980 was largely overestimated (between 10 527 and 12 897 g C m−2) for deciduous forests, whereas aboveground biomass accumulation through time (between 1980 and 2011) was highly underestimated (between 1222 and 7557 g C m−2) for both evergreen and deciduous sites due to a lower stem turnover rate in the sites than the one used in the model. D-CLM4.5 overestimated LAI in both evergreen and deciduous sites because the leaf C–LAI relationship in the model did not match the observed leaf C–LAI relationship at our sites. Although the four C allocation schemes gave similar results for aggregated C fluxes, they translated to important differences in long-term aboveground biomass accumulation and aboveground NPP. For deciduous forests, D-Litton gave more realistic Cstem ∕ Cleaf ratios and strongly reduced the overestimation of initial aboveground biomass and aboveground NPP for deciduous forests by D-CLM4.5. We identified key structural and parameterization deficits that need refinement to improve the accuracy of LSMs in the near future. These include changing how C is allocated in fixed and dynamic schemes based on data from current forest syntheses and different parameterization of allocation schemes for different forest types. Our results highlight the utility of using measurements of aboveground biomass to evaluate and constrain the C allocation scheme in LSMs, and suggest that stem turnover is overestimated by CLM4.5 for these AmeriFlux sites. Understanding the controls of turnover will be critical to improving long-term C processes in LSMs.

scholarly journals Aboveground biomass in reforestation with native species established by means of Taungya agroforestry system

Hoehnea ◽  
2017 ◽  
Vol 44 (2) ◽  
pp. 202-210
Author(s):  
Antonio Vicente Moscogliato ◽  
José Marcelo Domingues Torezan
Keyword(s):  
Aboveground Biomass ◽  
Co2 Emission ◽  
Native Species ◽  
Plant Biomass ◽  
Biomass Accumulation ◽  
Soil Characteristics ◽  
Agroforestry System ◽  
Management Systems ◽  
High Productivity ◽  
Age Range

ABSTRACT The mitigation of CO2 emission through high-productivity systems associated with restoration of degraded sites have been increasingly common, highlighting the importance of estimates of the amount and distribution of plant biomass in different ecosystems and under different management systems. The aim of this study was to investigate the influence of planting and soil characteristics and the type of management performed over the aboveground biomass accumulation in two reforestation projects with native species, implanted through Taungya agroforestry system. The differences in aboveground biomass accumulation were probably influenced by agroforestry management, since these variations showed to be independent of age (considered within the age range in this study), the spacing, the species composition, and soil fertility. The values of aboveground biomass are similar to those reported in the literature for other reforestation projects with native species of similar ages.

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