Remotely sensed C3 and C4 grass species aboveground biomass variability in response to seasonal climate and topography

2019 ◽  
Vol 57 (4) ◽  
pp. 477-489 ◽  
Author(s):  
Cletah Shoko ◽  
Onisimo Mutanga ◽  
Timothy Dube
Keyword(s):  
Aboveground Biomass ◽  
Remotely Sensed ◽  
Grass Species ◽  
Seasonal Climate ◽  
C4 Grass ◽  
Biomass Variability

scholarly journals Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon

2016 ◽  
Vol 30 (11) ◽  
pp. 1639-1660 ◽  
Author(s):  
Marcos Longo ◽  
Michael Keller ◽  
Maiza N. dos-Santos ◽  
Veronika Leitold ◽  
Ekena R. Pinagé ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Brazilian Amazon ◽  
Biomass Variability

Photosynthetic and transcriptomic responses of two C4 grass species with different NaCl tolerance

2020 ◽  
Vol 253 ◽  
pp. 153244
Author(s):  
Jemaa Essemine ◽  
Mingnan Qu ◽  
Ming-Ju Amy Lyu ◽  
Qingfeng Song ◽  
Naveed Khan ◽  
...  
Keyword(s):  
Grass Species ◽  
Nacl Tolerance ◽  
C4 Grass ◽  
Transcriptomic Responses

Occurrence and distribution of native and introduced C4 grasses in Tasmania

2002 ◽  
Vol 50 (6) ◽  
pp. 667 ◽  
Author(s):  
Mark J. Hovenden ◽  
Dennis I. Morris
Keyword(s):  
Urban Areas ◽  
General Distribution ◽  
Grass Species ◽  
Past Century ◽  
C4 Grasses ◽  
Photosynthetic Pathway ◽  
Limited Distribution ◽  
The Past ◽  
C4 Species ◽  
C4 Grass

Of the 137 species of grass considered native to Tasmania, only eight use the C4 photosynthetic pathway. There are also approximately 137 grass species considered as introduced to Tasmania and 21% of these are C4. In total, there are 41 species from 20 genera of C4 grass recorded from Tasmania. Many of the introduced C4 species have a very limited distribution, however, and are generally confined to urban areas and along roadsides. Overall, Tasmania has fewer C4 grasses than would be expected from climate alone and few of the C4 grass species are widely distributed or abundant. However, the proportion of grasses recorded from Tasmania that use the C4 pathway has been increasing for the past century and is still increasing. General distribution and habitat notes are provided for all C4 grasses known to be native or naturalised in Tasmania.

Effect of Forage Kochia on Seedling Growth of Cheatgrass (Bromus tectorum) and Perennial Grasses

2018 ◽  
Vol 11 (4) ◽  
pp. 201-207
Author(s):  
Parmeshwor Aryal ◽  
M. Anowarul Islam
Keyword(s):  
Seedling Growth ◽  
Aboveground Biomass ◽  
Bromus Tectorum ◽  
Perennial Grass ◽  
Perennial Grasses ◽  
Grass Species ◽  
Native Grasses ◽  
Native Plant ◽  
Competitive Effect ◽  
Forage Kochia

AbstractForage kochia [Bassia prostrata(L.) A. J. Scott] is competitive with annual weeds and has potential for use in reclamation of disturbed land. However, land managers are reluctant to use forage kochia in revegetation programs due to lack of understanding of its compatibility with or invasiveness in the native plant community. We conducted two greenhouse experiments, one to compare the competitive effect of forage kochia versus perennial grasses on growth of cheatgrass (Bromus tectorumL.) and one to study the effect of forage kochia on growth of native perennial grasses. In the first experiment, a single seedling ofB. tectorumwas grown with increasing neighbor densities (0 to 5 seedlings pot−1) of either forage kochia, crested wheatgrass [Agropyron cristatum(L.) Gaertner ×A. desertorum(Fisch. ex Link) Schultes; nonnative perennial grass], or thickspike wheatgrass [Elymus lanceolatus(Scribn. & J. G. Sm.) Gould; native perennial grass].Bromus tectorumgrowth was reduced moderately by all three perennial neighbors, butA. cristatumandE. lanceolatushad more effect onB. tectorumwhen compared with forage kochia. This experiment was repeated and similar results were observed. In the second experiment, forage kochia was grown with each of four native cool-season grass species: basin wildrye [Leymus cinereus(Scribn. & Merr.) Á. Löve], bluebunch wheatgrass [Pseudoroegneria spicata(Pursh) Á. Löve],E. lanceolatus, and western wheatgrass [Pascopyrum smithii(Rydb.) Á. Löve]. Forage kochia had no effect on height, tiller number, and aboveground biomass of native grasses. Similarly, native grasses did not show a significant effect on forage kochia seedlings. This experiment was also repeated, and forage kochia somewhat reduced the aboveground biomass ofL. cinereusandP. spicata. However, all native grasses significantly reduced change in height, branching, and aboveground biomass of forage kochia. These results suggest that forage kochia interfered withB. tectorumseedling growth, but it showed little competitive effect on native grass seedlings.

scholarly journals Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
J. M. Barbosa ◽  
E. N. Broadbent ◽  
M. D. Bitencourt
Keyword(s):  
Remote Sensing ◽  
Aboveground Biomass ◽  
Structural Changes ◽  
Forest Succession ◽  
Conservation Status ◽  
Remotely Sensed ◽  
Secondary Forests ◽  
Forest Regrowth ◽  
Ground Truthing ◽  
Remote Sensing Methods

Tropical landscapes are, in general, a mosaic of pasture, agriculture, and forest undergoing various stages of succession. Forest succession is comprised of continuous structural changes over time and results in increases in aboveground biomass (AGB). New remote sensing methods, including sensors, image processing, statistical methods, and uncertainty evaluations, are constantly being developed to estimate biophysical forest changes. We review 318 peer-reviewed studies related to the use of remotely sensed AGB estimations in tropical forest succession studies and summarize their geographic distribution, sensors and methods used, and their most frequent ecological inferences. Remotely sensed AGB is broadly used in forest management studies, conservation status evaluations, carbon source and sink investigations, and for studies of the relationships between environmental conditions and forest structure. Uncertainties in AGB estimations were found to be heterogeneous with biases related to sensor type, processing methodology, ground truthing availability, and forest characteristics. Remotely sensed AGB of successional forests is more reliable for the study of spatial patterns of forest succession and over large time scales than that of individual stands. Remote sensing of temporal patterns in biomass requires further study, in particular, as it is critical for understanding forest regrowth at scales useful for regional or global analyses.

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