Cover-based allometric estimate of aboveground biomass of a non-native, invasive annual grass (Bromus tectorum L.) in the Great Basin, USA

Mahood, Adam L.; Fleishman, Erica; Balch, Jennifer K.; Fogarty, Frank A.; Horning, Ned; Leu, Matthias; Zillig, Martha W.; Bradley, Bethany A.

doi:10.1016/j.jaridenv.2021.104582

Cited by 7 publications

(4 citation statements)

References 52 publications

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“…Through studying the relationships among plant growth indices, the allometric growth pattern can be revealed clearly among the structure, function, and physiological properties of woody plants ( Ma, 2015 ). Furthermore, some studies have analyzed the allometric growth pattern of herbaceous plants, including analyzing the relationships among biomass, energy metabolism, nutrient content, and other growth indices ( Zhao et al, 2020 ; Mahood et al, 2021 ). Although the allometric growth pattern was reflected completely among growth indices from woody plants to herbaceous plants, the plant growth patterns would change with different areas of distribution ( Fei et al, 2016 ), types of trees ( Wang X. et al, 2017 ), density ( Lin et al, 2020 ), diameter class ( Wang Y. et al, 2017 ), site environment ( Lei et al, 2020 ), and competitive intensity ( Li et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Plant Allometric Growth Enhanced by the Change in Soil Stoichiometric Characteristics With Depth in an Alpine Meadow Under Climate Warming

Zhao

Zhou

et al. 2022

Front. Plant Sci.

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The effects of global warming have warmed the climate of the Qinghai-Tibetan Plateau (QTP) leading to changes in plant growth and soil nutrients in the alpine meadows. However, few studies have addressed the effects of warming on plant allometric growth and soil stoichiometry in these meadows on a long-term scale. Therefore, the effects of soil stoichiometry on plant allometric growth remain unclear under long-term warming in the alpine meadows. This study adopted infrared radiators to conduct an 8-year warming experiment in a permafrost region on the QTP starting in 2010, and surveyed growth indices of the plant community during the growing season. Soil organic carbon (C), total nitrogen (N), and total phosphorus (P) in an alpine meadow were measured. We initially learned that the aboveground part of the alpine meadow vegetation in the warming treatment changed from an isometric to an allometric growth pattern while the allometric growth pattern of the belowground part was further strengthened. Second, the contents of soil C, N, and P decreased at the 0–20 cm depth and increased at the 20–30 cm depth in warming. The ratios of soil C:N, C:P, and N:P showed increasing trends at different soil depths with artificial warming, and their amplitudes increased with soil depths. Warming promoted the migration of soil stoichiometric characteristics of C, N, and P to deep soil. Finally, the correlations of plant growth with soil stoichiometric characteristics were weakened by warming, demonstrating that the downward migration of soil stoichiometric characteristics to deep soil in warming had effects on the growth of vegetation in the alpine meadow. It concludes that the change in soil stoichiometric characteristics with soil depths promotes plant allometric growth in the alpine meadow under climate warming.

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Section: Introductionmentioning

confidence: 99%

Plant Allometric Growth Enhanced by the Change in Soil Stoichiometric Characteristics With Depth in an Alpine Meadow Under Climate Warming

Zhao

Zhou

et al. 2022

Front. Plant Sci.

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“…Algunos autores (30) reportaron que en praderas con condiciones óptimas para su desarrollo, la variable cobertura vegetal es la que mejor puede estimar indirectamente la biomasa. Mahood et al (22) , determinaron que la cobertura vegetal es un buen predictor para la estimación de biomasa, con R 2 de hasta 0.89 en comunidades vegetales de Bromus tectorum.…”

Section: Discussionunclassified

“…Una vez generado el modelo, la estimación de la biomasa se puede realizar solamente midiendo las variables vegetativas necesarias, sin necesidad de cortar las plantas (5,9) . Estudios previos al presente trabajo han sido realizados en praderas bajo condiciones de riego y monocultivos (15,21,22) . Para condiciones de agostaderos, se han publicado resultados obtenidos en condiciones áridas de Arizona (23) y de multiespecies en Argentina (9) .…”

Section: Introductionunclassified

Generation of new equations to estimate aerial biomass based on morphological variables obtained from grasses in rangelands of Nuevo León, Mexico

Segura-Carmona,

Yerena Yamallel,

Bernal Barragán

et al. 2024

Rev. Mex. Cienc. Pecu.

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La estimación de biomasa aérea de pastos contribuye a realizar un manejo eficiente y sostenible de los agostaderos. El objetivo del presente estudio fue generar nuevas ecuaciones para estimar la biomasa aérea de pastos presentes en agostaderos, en Nuevo León, México, basado en datos colectados del total (n=745) de los individuos de las cinco especies de pastos: Cenchrus ciliaris Linnaeus, Pappophorum bicolor Fourn, Aristida purpurea Nutt, Tridens texanus Watson y Paspalum pubiflorum Fourn presentes en las parcelas de muestreo. Utilizando la altura máxima y la de los tallos vegetativos, los diámetros aéreo, basal y comprimido, y volúmenes medidos en cada uno de los individuos colectados, se generaron ecuaciones lineales (stepwise) y no lineales, para estimar la biomasa aérea (base materia seca) de los pastos cortados a ras de suelo. Se seleccionaron seis ecuaciones generales con el mejor ajuste estadístico para el total de las especies colectadas. La ecuación general III tuvo los mejores valores de R2=0.88 y AIC=3079, utilizando las cinco variables evaluadas. La ecuación general IV estimó con R2=0.86 y AIC= 3530, utilizando solo la variable de diámetro comprimido. Las ecuaciones específicas seleccionadas estimaron la biomasa aérea de los pastos Cenchrus ciliaris (R2=0.88, r=0.94), Pappophorum bicolor (R2=0.86, r=0.92), Aristida purpurea (R2=0.92, r=0.96), Tridens texanus (R2=0.91, r=0.96), y Paspalum pubiflorum (R2=0.93, r=0.97). Las nuevas ecuaciones son una alternativa confiable para estimar indirectamente la biomasa aérea de los pastos de los agostaderos del noreste de México, de forma más rápida y menos costosa que el método tradicional.

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“…Allometric relationships thus are important for understanding how species interact with changing environments and coexisting plants and the resulting impacts on community structure and ecosystem function (Bonser & Aarssen, 2003; Enquist et al, 1999; Niklas, 2004; Weiner, 2004). Past plant allometry studies have mainly focused on trees resulting in a now large database of tree allometric equations (Falster et al, 2015; Jucker et al, 2022), but relatively few studies have developed allometric equations for grasses (Chieppa et al, 2020; Irving, 2015; Mahood et al, 2021; Nafus et al, 2009; Oliveras et al, 2014; Youkhana et al, 2017). In addition to the lack of studies of grass allometry, existing work on grass allometry has rarely examined both aboveground and belowground components throughout the life cycle of a species.…”

Section: Introductionmentioning

confidence: 99%

Allometric relationships and trade‐offs in 11 common Mediterranean‐climate grasses

Gao,

Koven,

Kueppers

2024

Ecological Applications

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Biomass allocation in plants is the foundation for understanding dynamics in ecosystem carbon balance, species competition, and plant–environment interactions. However, existing work on plant allometry has mainly focused on trees, with fewer studies having developed allometric equations for grasses. Grasses with different life histories can vary in their carbon investment by prioritizing the growth of specific organs to survive, outcompete co‐occurring plants, and ensure population persistence. Further, because grasses are important fuels for wildfire, the lack of grass allocation data adds uncertainty to process‐based models that relate plant physiology to wildfire dynamics. To fill this gap, we conducted a greenhouse experiment with 11 common California grasses varying in photosynthetic pathway and growth form. We measured plant sizes and harvested above‐ and belowground biomass throughout the life cycle of annual species, while for the establishment stage of perennial grasses to quantify allometric relationships for leaf, stem, and root biomass, as well as plant height and canopy area. We used basal diameter as a reference measure of plant size. Overall, basal diameter is the best predictor for leaf and stem biomass, height, and canopy area. Including height as another predictor can improve model accuracy in predicting leaf and stem biomass and canopy area. Fine root biomass is a function of leaf biomass alone. Species vary in their allometric relationships, with most variation occurring for plant height, canopy area, and stem biomass. We further explored potential trade‐offs in biomass allocation across species between leaf and fine root, leaf and stem, and allocation to reproduction. Consistent with our expectation, we found that fast‐growing plants allocated a greater fraction to reproduction. Additionally, plant height and specific leaf area negatively influenced the leaf‐to‐stem ratio. However, contrary to our hypothesis, there were no differences in root‐to‐leaf ratio between perennial and annual or C4 and C3 plants. Our study provides species‐specific and functional‐type‐specific allometry equations for both above‐ and belowground organs of 11 common California grass species, enabling nondestructive biomass assessment in California grasslands. These allometric relationships and trade‐offs in carbon allocation across species can improve ecosystem model predictions of grassland species interactions and environmental responses through differences in morphology.

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Cover-based allometric estimate of aboveground biomass of a non-native, invasive annual grass (Bromus tectorum L.) in the Great Basin, USA

Abstract: Cover-based allometric estimate of aboveground biomass of a non-native, invasive annual grass (Bromus tectorum L.

Cited by 7 publications

References 52 publications

Plant Allometric Growth Enhanced by the Change in Soil Stoichiometric Characteristics With Depth in an Alpine Meadow Under Climate Warming

Plant Allometric Growth Enhanced by the Change in Soil Stoichiometric Characteristics With Depth in an Alpine Meadow Under Climate Warming

Generation of new equations to estimate aerial biomass based on morphological variables obtained from grasses in rangelands of Nuevo León, Mexico

Allometric relationships and trade‐offs in 11 common Mediterranean‐climate grasses

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