Relationships of ozone exposure to pine injury in the Sierra Nevada and San Bernardino Mountains of California, USA

Arbaugh, Michael J.; Miller, Paul R.; Carroll, John J.; Takemoto, B.K.; Procter, Trent

doi:10.1016/s0269-7491(98)00027-x

Cited by 56 publications

(32 citation statements)

References 11 publications

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“…We used principal components analysis (PCA) to identify the main axes of variability in the disease symptom data and derive an index (Muir and McCune 1987;Arbaugh et al 1998). PCA was performed by standardizing all variables to mean=0 and standard deviation=1 and processing with PROC PRINCOMP in SAS 9.3 (SAS Institute Inc., Cary, NC, USA).…”

Section: Phenotypic Data Analysismentioning

confidence: 99%

Estimating heritability of disease resistance and factors that contribute to long-term survival in butternut (Juglans cinerea L.)

LaBonte

Ostry

Ross‐Davis

et al. 2015

Tree Genetics & Genomes

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For most wild species affected by exotic pests or pathogens, the relative importance of heritable genetic differences in determining apparent variation in disease resistance is unknown. This is true in particular for butternut, a North American hardwood affected by butternut canker disease and undergoing demographic contraction. Little is known about site effects on butternut decline, in part because long-term monitoring data are lacking. We collected detailed disease phenotypes and multilocus microsatellite genotypes for all surviving individuals in a large natural population of butternut in 2003 (n= 302) and 2012 (n=113). Two analytical methods, correlations between pairwise phenotypic similarity and pairwise relatedness, and estimation of among-family variance, both indicated weak heritability of disease-related traits and no heritability for overall tree health in the population. Additionally, an analysis of spatial data collected in 2001 (n=341) and 2012 (n=113) demonstrated that drier, upland sites contribute to increased likelihood of survival. We conclude that genetic differences among wild butternut individuals contributed little to observed variance in survival over 10 years but fine-scale site differences were useful predictors of butternut mortality.

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Section: Phenotypic Data Analysismentioning

confidence: 99%

Estimating heritability of disease resistance and factors that contribute to long-term survival in butternut (Juglans cinerea L.)

LaBonte

Ostry

Ross‐Davis

et al. 2015

Tree Genetics & Genomes

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“…Ozone levels have been shown to cause significant yield reduction in a number of major crops on a global scale (e.g., Avnery et al, 2011;Ghude et al, 2014) and, in combination with warming, may reduce global crop production by up to 15 % in 2050 (Tai et al, 2014), leading to substantial economic losses and potentially worsening global malnutrition. Studies have also reported many other negative impacts on ecosystems, such as reductions in tree and seedling growth, decreases in photosynthetic rates, and visible foliar injuries on multiple plant species, including broadleaf deciduous forest in the northeastern US and needleleaf evergreen forest in the western US (e.g., Arbaugh et al, 1998;Schaub et al, 2005). In addition, rising O 3 levels may substantially suppress the global land-carbon sink via its negative effect on photosynthesis, leading to a greater accumulation of carbon dioxide in the atmosphere (Sitch et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

How emissions, climate, and land use change will impact mid-century air quality over the United States: a focus on effects at national parks

et al. 2015

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Abstract. We use a global coupled chemistry-climate-land model (CESM) to assess the integrated effect of climate, emissions and land use changes on annual surface O 3 and PM 2.5 in the United States with a focus on national parks (NPs) and wilderness areas, using the RCP4.5 and RCP8.5 projections. We show that, when stringent domestic emission controls are applied, air quality is predicted to improve across the US, except surface O 3 over the western and central US under RCP8.5 conditions, where rising background ozone counteracts domestic emission reductions. Under the RCP4.5 scenario, surface O 3 is substantially reduced (about 5 ppb), with daily maximum 8 h averages below the primary US Environmental Protection Agency (EPA) National Ambient Air Quality Standards (NAAQS) of 75 ppb (and even 65 ppb) in all the NPs. PM 2.5 is significantly reduced in both scenarios (4 µg m −3 ; ∼ 50 %), with levels below the annual US EPA NAAQS of 12 µg m −3 across all the NPs; visibility is also improved (10-15 dv; >75 km in visibility range), although some western US parks with Class I status (40-74 % of total sites in the US) are still above the 2050 planned target level to reach the goal of natural visibility conditions by 2064. We estimate that climate-driven increases in fire activity may dominate summertime PM 2.5 over the western US, potentially offsetting the large PM 2.5 reductions from domestic emission controls, and keeping visibility at present-day levels in many parks. Our study indicates that anthropogenic emission patterns will be important for air quality in 2050. However, climate and land use changes alone may lead to a substantial increase in surface O 3 (2-3 ppb) with important consequences for O 3 air quality and ecosystem degradation at the US NPs. Our study illustrates the need to consider the effects of changes in climate, vegetation, and fires in future air quality management and planning and emission policy making.

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“…The accumulation of tropospheric ozone increasingly affects Mediterranean-type climate areas, with implications to high population densities and highly productive agriculture and silviculture (Brunekreef and Holgate, 2002;Inclan et al, 1999;Paoletti, 2006). Ozone affects plant health through stomatal uptake (Díaz-deQuijano et al, 2011a;Matyssek et al, 2007;Panek, 2004), causing chlorosis (Arbaugh et al, 1998;Ribas et al, 2005b;Vollenweider et al, 2003), accelerated leaf senescence (Pronos et al, 1978;Ribas et al, 2005b), growth reduction (Panek and Goldstein, 2001), changes in carbon allocation (Díaz-de-Quijano et al, 2011b;Grulke and Balduman, 1999;Grulke et al, 2002), and forest composition (Miller, 1973(Miller, , 1993Miller et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

“…One of the most thoroughly developed and applied is the Ozone Injury Index (OII), which is specific to conifer species (Arbaugh et al, 1998;Duriscoe et al, 1996;Miller et al, 1995) was developed specifically for ponderosa (P. ponderosa) and Jeffrey pines (P. jeffreyi) in the United States, but offers great potential for biomonitoring tropospheric ozone using other conifer species. In particular, the mountain pine (Pinus uncinata Ram.)…”

Section: Introductionmentioning

confidence: 99%

Using Pinus uncinata to monitor tropospheric ozone in the Pyrenees

Kefauver¹,

Peñuelas²,

Ribas³

et al. 2014

Ecological Indicators

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Relationships of ozone exposure to pine injury in the Sierra Nevada and San Bernardino Mountains of California, USA

Cited by 56 publications

References 11 publications

Estimating heritability of disease resistance and factors that contribute to long-term survival in butternut (Juglans cinerea L.)

Estimating heritability of disease resistance and factors that contribute to long-term survival in butternut (Juglans cinerea L.)

How emissions, climate, and land use change will impact mid-century air quality over the United States: a focus on effects at national parks

Using Pinus uncinata to monitor tropospheric ozone in the Pyrenees

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