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Full of fall
April Pulley Sayre explores the transformation trees undergo in fall. This book explains the leaves' initial change from green to red, yellow, and orange, the shedding of the leaves, and the leaves crumbling as winter approaches. Additional information explains the science behind this process.
Book
The effects of climate change on the timing of peak fall foliage in Acadia National Park
ContextIn recent decades, most United States’ National Parks have experienced extreme temperature and precipitation regimes outside of their historical ranges of variability with unknown effects on fall phenology. ObjectivesWe determine 1) how seasonal climate in Acadia National Park, Maine and the timing of peak fall foliage have changed between 1950 and 2021; 2) how changes in seasonal climate have affected fall foliage; and 3) how we might expect the timing of fall foliage to change given future climate projections.MethodsWe use ERA5-Land data to analyze changes in climate. We couple remotely sensed data with archival research to determine changes in the timing of peak fall foliage. We use multivariate regressions to understand the relationship between climate and fall foliage. We use CESM2 data to predict the timing of peak fall foliage coloration through 2060.ResultsMinimum temperatures, maximum temperatures, precipitation, and the number of warm nights, hot nights, warm days, hot days, and downpour days have all significantly increased (p ≤ 0.05). The timing of peak fall foliage is now occurring almost two weeks later (p ≤ 0.05). September temperature and precipitation and May precipitation were positively correlated with delayed peak fall foliage. Early October precipitation was negatively correlated. Future climate projections predict the timing of peak fall foliage to occur between October 30 and November 2 by 2060.ConclusionUnderstanding how climate is affecting leaf senescence both is crucial in a national park where fall tourism brings large gains to the local economy and provides key information to park managers planning for a resilient, sustainable future.
Journal Article
Species‐specific spring and autumn leaf phenology captured by time‐lapse digital cameras
Plant leaf phenology is typically observed either via ground‐based visual observations on individuals or via remote sensing of land surface vegetation. To integrate phenological information from both data sources, collected at different spatial scales using different observational protocols, digital cameras were deployed spanning canopy areas with enough spatial resolution to identify temporal changes in individual deciduous tree species with continuous observations. Comparisons of phenology between camera photography and in situ observations have been reported in prior studies; however, it is still unclear that how these camera images relate to field observations at individual and species levels, and how the metrics from those images provide comparable species‐specific phenological responses to environmental variation. We set a suite of digital time‐lapse cameras to acquire continuous photographs of deciduous tree canopies and conducted ground‐based visual observations in Connecticut, USA, from 2012 to 2014. Comparisons between image‐derived dates and observed phenological dates showed that both green and red color indices could be matched to ground observations, and red color indices showed good performance in matching autumn phenology across our group of eight tree species that dominate the southern New England forests. Linear mixed‐effects models were applied to investigate the relationships between climatic/weather conditions and the timing of peak and of intensity of red color in fall foliage for each species. Model results suggested that temperature, precipitation, drought stress in autumn, and heat stress in summer are all important factors to the timing of peak fall foliage color and that higher minimum temperatures (or lower cold degree‐day accumulation) in the autumn are linked to higher intensity of red coloration at least in sugar maples. This study improves our understanding of temporal and spatial variation in the phenology of deciduous trees captured by digital cameras. As well, this provides insights into relating species‐specific information on phenology from visual observations in the field to near‐surface remote sensing and points to the need for further research on autumn phenology using the change in redness of tree canopies.
Journal Article
Grouping-Based Time-Series Model for Monitoring of Fall Peak Coloration Dates Using Satellite Remote Sensing Data
Accurate monitoring of plant phenology is vital to effective understanding and prediction of the response of vegetation ecosystems to climate change. Satellite remote sensing is extensively employed to monitor vegetation phenology. However, fall phenology, such as peak foliage coloration, is less well understood compared with spring phenological events, and is mainly determined using the vegetation index (VI) time-series. Each VI only emphasizes a single vegetation property. Thus, selecting suitable VIs and taking advantage of multiple spectral signatures to detect phenological events is challenging. In this study, a novel grouping-based time-series approach for satellite remote sensing was proposed, and a wide range of spectral wavelengths was considered to monitor the complex fall foliage coloration process with simultaneous changes in multiple vegetation properties. The spatial and temporal scale effects of satellite data were reduced to form a reliable remote sensing time-series, which was then divided into groups, namely pre-transition, transition and post-transition groups, to represent vegetation dynamics. The transition period of leaf coloration was correspondingly determined to divisions with the smallest intra-group and largest inter-group distances. Preliminary results using a time-series of Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2002 to 2013 at the Harvard Forest (spatial scale: ~3500 m; temporal scale: ~8 days) demonstrated that the method can accurately determine the coloration period (correlation coefficient: 0.88; mean absolute difference: 3.38 days), and that the peak coloration periods displayed a shifting trend to earlier dates. The grouping-based approach shows considerable potential in phenological monitoring using satellite time-series.
Journal Article
Preference, Complexity, and Color Information Entropy Values for Visual Depictions of Plant and Vegetative Growth
Few have examined the relationship between landscape color changes, landscape complexity, and laypersons’ visual preference ratings. We examined whether depictions of visual changes to plant and vegetative colors affect preference ratings, estimations of complexity, and computed color information entropy values. Photographs depicted four visual states of plant growth—winter dormancy, foliation, flowering, and senescence—in color at four locations on each of three landscape architecture project sites in New York and Pennsylvania. Participants viewed and evaluated the scenes depicted in the photographs for preference ( n = 52) and estimated the presence of complexity ( n = 47). A multiparadigm numerical computing environment performed algorithmic functions to calculate Shannon information entropy values of perceptual and categorical colors for each photograph. The visual changes depicted significantly affected perceptual color information entropy values, but significant effects were not found in three contrasts between values for the four stages of plant and vegetative growth. Preference ratings for foliated scenes were significantly higher than those for dormant and senescent scenes. Respondents’ complexity estimations for foliated scenes were lower than those of flowering and senescent, yet complexity and preference did not correlate. Preference correlated strongly and positively with perceptual color information entropy, which may help predict landscape preference. However, the presence of green foliage may affect preference more than perceptual color information entropy within scenes.
Journal Article
Weekends with Yankee. Episode 1, Classic New England
Amy Traverso and Richard Wiese reunite for a road trip through the White Mountains of New Hampshire, just in time to see the spectacular fall foliage. Then they head to Boston for the legendary Swan Boats launch day. Finally, in Charlestown, RI, Amy visits the original location of Dave's Coffee, an artisan coffee roaster, and discovers some signature drinks and foods found only in Little Rhody.
Streaming Video
Carbon stock in aboveground biomass of vegetation at the High Tatra Mts. twelve years after disturbance
The paper focused on the estimation of aboveground biomass and its carbon stock in the vegetation cover on the territory of the High Tatras twelve years after a large-scale wind disturbance. Besides biomass quantification of main plant groups (i.e. trees and ground vegetation) we considered plant components with special regard to carbon rotation rate. The measurements were performed on two transects each containing 25 plots sized 4 × 4 m. Height and stem diameter of all trees on the plots were measured and used for biomass estimation. To quantify the biomass of ground vegetation, six subplots sized 20 × 20 cm were systematically placed on each plot and the aboveground biomass was harvested. The plant material was subjected to chemical analyses to quantify its carbon concentration. The study showed that while the wind disturbance caused dramatic decrease of carbon stock, young post-disturbance stands with abundant ground vegetation, represented large carbon flux via litter fall. Twelve years after the wind disturbance, the trees contributed to carbon stock more than the ground vegetation. However, the opposite situation was recorded for the carbon flux to litter that was related to the dominance of annual plants in the above-ground biomass of ground vegetation. The carbon stock in the biomass of young trees and ground vegetation represented about 8,000 kg per ha. The young stands manifested a dynamic growth, specifically the aboveground biomass increased annually by one third. The results confirmed different carbon regimes in the former old (pre-disturbance) and sparse young (post-disturbance) stands.
Journal Article
Fly over Colorado’s autumn colors in 360
Stands of aspen trees grow as a single organism, each changing to the same color at the same time. Visit White River National Forest and witness their colors firsthand.
Streaming Video
A profile of the fall foliage tourism market
Although fall color touring has long been pursued by the traveling public and promoted by destinations, it has been the subject of extraordinarily little research. This article helps fill this knowledge gap and assists destination marketers seeking to more effectively attract this market niche. Analyses of data from a telephone survey of households in the Great Lakes region indicate that marketers who wish to attract fall color tourists should promote a wide range of ancillary activities in addition to foliage viewing and target primarily older individuals in nearby markets.
Journal Article
