Canopy Area and Aboveground Mass of Individual Redberry Juniper (Juniperus pinchotii) Trees

Ansley, R. James; Mırık, Mustafa; Surber, Brady; Park, S.C.

doi:10.2111/rem-d-11-00112.1

Cited by 15 publications

(22 citation statements)

References 57 publications

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“…Plant height was found to be even less effective predictor of leaf biomass, which is similar to the findings of Ansley et al (2012). The reason might be due to the suppression and release from suppression in vertical growth at different time periods and space, corresponding to light intensity, moisture and temperature.…”

Section: Regression Analysis For Statistically Significant Traitssupporting

confidence: 73%

“…Non-destructive measurements of plant allometric attributes (e.g., height, canopy dimensions and stem diameter) have long been used to estimate plant biomass (Mason and Hutchings, 1967;Peek, 1970;Ludwig et al, 1975) and reproductive output (Haymes and Fox, 2012;Otárola et al, 2013). Recent interests in quantifying ecosystem carbon stocks, and potential uses of bio-energy have shown the need of implementing non-destructive methods to estimate total above ground biomass (Ansley et al, 2012). Studies indicate that canopy area and/ or stem diameter can provide the best regression fit for above ground biomass prediction in several tree species including Juniperus (Mason and Hutchings, 1967;Ansley et al, 2012).…”

Section: Variation In Leaf Biomass and Fruit Output Of Juniperus Indimentioning

confidence: 99%

“…Recent interests in quantifying ecosystem carbon stocks, and potential uses of bio-energy have shown the need of implementing non-destructive methods to estimate total above ground biomass (Ansley et al, 2012). Studies indicate that canopy area and/ or stem diameter can provide the best regression fit for above ground biomass prediction in several tree species including Juniperus (Mason and Hutchings, 1967;Ansley et al, 2012).…”

Section: Variation In Leaf Biomass and Fruit Output Of Juniperus Indimentioning

confidence: 99%

“…Measurements of basal trunk diameter and canopy height are difficult in bushyjuniper because of very compact canopy with a high density of under-growth stems that restrict access to the core base of the stems. Thus, the use of individual outer canopy dimensions may be the best option for non-destructively estimating leaf biomass of J. indica as reported in other species (Ansley et al, 2012).…”

Section: Regression Analysis For Statistically Significant Traitsmentioning

confidence: 99%

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Variation in leaf biomass and fruit output of Juniperus indica along an elevation gradient in north-central Nepal

Chapagain¹,

Chaudhary

Ghimire

2017

Banko

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Biomass and reproductive output are important functional traits that influence aspects of plant performance. Measurements of these attributes by harvesting plant parts are often destructive and impractical. Therefore, non-destructive methods, based on allometric relationships, have been recommended for measuring plant biomass and reproductive output, particularly in the ecosystems where plant harvesting is not very practical or feasible. Here, we assessed the variation in the traits related to vegetative and reproductive performance (including plant height, trunk diameter, canopy area, leaf biomass and number of fruits set) among populations of Juniperus indica distributed along an elevation gradient in Manang district of the north-central Nepal, and finally determined the allometric relationships addressing the leaf biomass and the fruit output. The distribution range of J. indica was divided into lower-(3,350-3,580 m), mid-(3,650-3,880 m) and higher-(3,950-4,250 m) elevation classes where we made 54 sample plots of 10 m × 10 m size. In each plot, we recorded the number of individuals of J. indica classifying into seedling, juvenile and mature classes, and measured their vegetative traits and fruit output. Trunk diameter, leaf dry-weight and fruits set parameters spatially varied within the same elevation class. The individuals at the lower-elevation were larger in vegetative size with larger-trunk, height and canopy area, and produced higher leaf biomass and greater number of fruits as compared to those produced by the individuals situated at the mid-and higher-elevations. The regression analysis showed the strongest relationship between the canopy area and the leaf biomass. Thus, the use of outer canopy dimension is found to be the best option for estimation of leaf biomass of J. indica using non-destructive method..

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Section: Regression Analysis For Statistically Significant Traitssupporting

confidence: 73%

Section: Variation In Leaf Biomass and Fruit Output Of Juniperus Indimentioning

confidence: 99%

Section: Variation In Leaf Biomass and Fruit Output Of Juniperus Indimentioning

confidence: 99%

Section: Regression Analysis For Statistically Significant Traitsmentioning

confidence: 99%

See 2 more Smart Citations

Variation in leaf biomass and fruit output of Juniperus indica along an elevation gradient in north-central Nepal

Chapagain¹,

Chaudhary

Ghimire

2017

Banko

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“…10 Weed infestation is considered a major reason for loss in global biodiversity including species extinction. 6,7,[11][12][13][14][15][16][17] There is an abundance of redberry juniper (Juniperus pinchotii Sudw; juniper hereafter) and honey mesquite (Prosopis glandulosa Torr; mesquite hereafter) across vast areas of the southern Great Plains of the United States. Both species are native to the region but they are considered "native invasives."…”

Section: Introductionmentioning

confidence: 99%

Detection of two intermixed invasive woody species using color infrared aerial imagery and the support vector machine classifier

Mırık

Chaudhuri

Surber

et al. 2013

J. Appl. Remote Sens

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Abstract. Both the evergreen redberry juniper (Juniperus pinchotii Sudw.) and deciduous honey mesquite (Prosopis glandulosa Torr.) are destructive and aggressive invaders that affect rangelands and grasslands of the southern Great Plains of the United States. However, their current spatial extent and future expansion trends are unknown. This study was aimed at: (1) exploring the utility of aerial imagery for detecting and mapping intermixed redberry juniper and honey mesquite while both are in full foliage using the support vector machine classifier at two sites in north central Texas and, (2) assessing and comparing the mapping accuracies between sites. Accuracy assessments revealed that the overall accuracies were 90% with the associated kappa coefficient of 0.86% and 89% with the associated kappa coefficient of 0.85 for sites 1 and 2, respectively. Z-statistics (0.102 < 1.96) used to compare the classification results for both sites indicated an insignificant difference between classifications at 95% probability level. In most instances, juniper and mesquite were identified correctly with <7% being mistaken for the other woody species. These results indicated that assessment of the current infestation extent and severity of these two woody species in a spatial context is possible using aerial remote sensing imagery.

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Functional attributes of conifers expanding into temperate semi-arid grasslands modulate carbon and nitrogen fluxes in response to prescribed fire

Gay,

Currey,

Davis

et al. 2024

Biogeochemistry

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Fire exclusion is a key factor driving conifer expansion into temperate semi-arid grasslands. However, it remains unclear how reintroducing fire affects the aboveground storage of carbon (C) and nitrogen (N) in the expanding tree species and belowground in soils. To assess the impacts of fire reintroduction C and N pools and fluxes in areas of conifer expansion we targeted a region of the Northern Great Plains that has experienced extensive woody plant expansion (WPE) of two species: ponderosa pine (Pinus ponderosa) and juniper (Juniperus spp). We quantified tree mortality of both species to estimate the amount of dead biomass C and N produced by a recent prescribed fire, in addition to changes in soil C, pyrogenic C (PyC), and N concentrations across a woody-cover gradient using a before/after/control experimental design. Post-fire soil chemical analysis revealed a 2 year increase in mineral soil C, PyC and N, suggesting the return of fire led to the transfer of partially combusted plant organic matter back to the soil. Further, we found that functional trait differences between the two species influenced the distribution of living conifer biomass-N prior to fire. Despite junipers having 41% less total aboveground biomass than ponderosa, they contained two times more aboveground N. Prescribed fire resulted in 88% mortality of all mature juniper stems and increased fire severity correlated with greater pre-fire juniper cover. Ponderosa mortality varied by size class, with > 40 cm stem diameter class having only 28% mortality. High mortality and greater aboveground N storage in juniper biomass, compared to ponderosa, led to 77% of the total conifer biomass N lost. Consequently, the functional attributes of expanding trees differentially contribute to fluxes of C and N after the return of fire, with junipers acting as conduits for N movement due to their relatively higher N content in less fire-resistant tissues and ponderosa serving as important and more stable storage pools for C. Together, these findings highlight the importance of considering species-specific traits when planning WPE management strrategies at landscape-scales, particularly when goals include C storage or soil nutrient status. Graphical abstract

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Canopy Area and Aboveground Mass of Individual Redberry Juniper (Juniperus pinchotii) Trees

Cited by 15 publications

References 57 publications

Variation in leaf biomass and fruit output of Juniperus indica along an elevation gradient in north-central Nepal

Variation in leaf biomass and fruit output of Juniperus indica along an elevation gradient in north-central Nepal

Detection of two intermixed invasive woody species using color infrared aerial imagery and the support vector machine classifier

Functional attributes of conifers expanding into temperate semi-arid grasslands modulate carbon and nitrogen fluxes in response to prescribed fire

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