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Seasonality and the Relationships Between Reproductive and Leaf Phenophases In Myrtaceae Using Field and Herbarium Data. Conservation of Nature Seasonality and the Relationships Between Reproductive and Leaf Phenophases In Myrtaceae Using Field and Herbarium Data 1Universidade Estadual de Feira de Santana, Feira de Santana, BA, Brasil.

Seasonality and the Relationships Between Reproductive and Leaf Phenophases In Myrtaceae Using Field and Herbarium Data

Latitudinal shift in the timing of flowering of tree species across tropical Africa: insights from field observations and herbarium collections. Chilling consequences: Herbarium records reveal earlier reproductive phenology of winter annual gladecress in a wetter, cooler climate - Banaszak - 2020. Numerous studies now show that plant phenology has changed, and will continue to change, as a result of climate warming (Amano, Smithers, Sparks, & Sutherland, 2010; Cleland et al., 2012; Ibanez et al., 2010; Miller‐Rushing & Primack, 2008; Parmesan & Yohe, 2003).

Chilling consequences: Herbarium records reveal earlier reproductive phenology of winter annual gladecress in a wetter, cooler climate - Banaszak - 2020

For many spring‐flowering plants, research indicates that the timing of reproductive life‐history stages (flowering, fruiting) is occurring earlier as the climate warms (Beaubien & Hamann, 2011; Fitter & Fitter, 2002; Wadgymar, Ogilvie, Inouye, Weis, & Anderson, 2018; Wolkovich et al., 2012). Herbarium records have proven to be reliable sources of phenological data, revealing changes in reproductive phenology in response to climate warming and altered precipitation (Davis, Willis, Connolly, Kelly, & Ellison, 2015; Hufft, DePrenger‐Levin, Levy, & Islam, 2018; Matthews & Mazer, 2016; Park et al., 2018). In either case, shifts in plant phenology are expected to impact reproductive success. Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research.

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Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

You can change your cookie settings at any time. <a href=" Find out more</a> Skip to Main Content Search Close Advanced Search Search Menu Article Navigation Article Contents Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research Katelin D Pearson California Polytechnic State University , San Luis Obispo, California E-mail: Search for other works by this author on: Oxford Academic Google Scholar. Average first leaf appearance, as animated map. Large‐scale and deep phenological stage annotation of specimens: flower and fruit. THE CALIFORNIA PHENOLOGY COLLECTIONS NETWORK: USING DIGITAL IMAGES TO INVESTIGATE PHENOLOGICAL CHANGE IN A BIODIVERSITY HOTSPOT. Phenology using specimens: iDigBio. New Insights from Old Herbarium Specimens Contributed by Richard B.

Phenology using specimens: iDigBio

Primack (Boston University; and Charles G. Willis (Harvard University; “Live in each season as it passes - breathe the air, drink the drink, taste the fruit & resign yourself to the influence of each.” Emerging frontiers in phenological research. As climate change looms, we urgently need to understand how ecosystems will respond.

Emerging frontiers in phenological research

Plant phenology, or the timing of developmental events like flowering, offers a powerful lens to make sense of the changes we are likely to see. Phenology is both driven by climate and deeply impacts ecosystem functioning. Applications in Plant Sciences. Applications in Plant Sciences. Plant collections are, by their very nature, records of phenology—the study of cyclical events in an organism's life cycle including growth and reproduction phases that occur over the course of the year. These phases, which are called phenophases, are represented in plant collections with such features as young flower buds, senescing leaves, and even bare branches on a herbarium sheet. In combination with the collection date and locality information present on the specimen label, collections provide valuable data about plant phenology.

Phenology is not a new science, but it has taken on additional importance in recent decades as a metric for studying the impacts of global climate change on species. As the climate warms and weather patterns are altered, it becomes increasingly vital to quantify the effects of these changes on plants and animals. Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants - Yost - 2018 - Applications in Plant Sciences.

Premise of the Study Herbarium specimens provide a robust record of historical plant phenology (the timing of seasonal events such as flowering or fruiting).

Digitization protocol for scoring reproductive phenology from herbarium specimens of seed plants - Yost - 2018 - Applications in Plant Sciences

However, the difficulty of aggregating phenological data from specimens arises from a lack of standardized scoring methods and definitions for phenological states across the collections community. Method for Phen scoring: better but slower. Plant phenology—the timing of life history events such as flowering or fruiting—is a key aspect of plant fitness (Inouye, 2008) and the study of climate change (Menzel, 2002).

Method for Phen scoring: better but slower

Pressed, preserved plant specimens (“herbarium specimens”) collected over centuries and around the globe can serve as snapshots of plant phenology and have contributed to a wealth of research relating the timing of phenological events to, e.g., climate change (Willis et al., 2017a; Jones and Daehler, 2018), disturbance (Gómez‐Garcia et al., 2009), plant traits (Bolmgren and Lönnberg, 2005), and climate seasonality (Sahagun‐Godinez, 1996). Although most herbarium specimens were not collected with the purpose of estimating phenological events, phenological data from specimens have proven reliable and irreplaceable for understanding plant phenology (Davis et al., 2015).

This paper describes a novel “estimated phenophase” method that aims to overcome these limitations. Estimated phenophase method. Phenological mismatch with trees reduces wildflower carbon budgets. Interacting species can respond differently to climate change, causing unexpected consequences.

Phenological mismatch with trees reduces wildflower carbon budgets

Many understorey wildflowers in deciduous forests leaf out and flower in the spring when light availability is the highest before overstorey canopy closure. Therefore, different phenological responses by understorey and overstorey species to increased spring temperature could have significant ecological implications. Pairing contemporary data with historical observations initiated by Henry David Thoreau (1850s), we found that overstorey tree leaf out is more responsive to increased spring temperature than understorey wildflower phenology, resulting in shorter periods of high light in the understorey before wildflowers are shaded by tree canopies. Because of this overstorey–understorey mismatch, we estimate that wildflower spring carbon budgets in the northeastern United States were 12–26% larger during Thoreau's era and project a 10–48% reduction during this century. Phenological responses to climate in the Alberta native flora: Herbarium specimens reveal differential responsiveness between species in mesic and xeric habitats.

Effects of climate change and invasive plants on autumn phenology in Massachusetts, USA. Shifts in the timing of the early flowering in plants from a semi-arid ecoregion under climate change. Herbarium specimens can reveal impacts of climate change on plant phenology; a review of methods and applications. Changes of flowering phenology and flower size in rosaceous plants from a biodiversity hotspot in the past century : Scientific Reports. Flowering phenology governed by temperature × precipitation. Flowering‐time shifts at large spatial scales over 153 years. Premise Understanding species’ responses to climate change is a critical challenge facing biologists today.

flowering‐time shifts at large spatial scales over 153 years

Though many species are widespread, few studies of climate‐driven shifts in flowering time have examined large continuous spatial scales for individual species. And even fewer studies have examined these shifts at time scales greater than a few decades. Methods We used digitized herbarium specimens and PRISM climate data to produce the spatially and temporally broadest‐scale study of flowering time in a single species to date, spanning the contiguous United States and 153 years (1863–2016) for a widespread weedy annual, Triodanis perfoliata (Campanulaceae). Results. Herbarium Records Reveal Earlier Bloom Times. Historical flowering phenology across a broad range of Pacific Northwest plants. Insights into grass phenology from herbarium specimens. In this issue of New Phytologist, Munson & Long (pp. 1945–1955) publish a study that is notable for its innovative methods, focusing on an understudied but vital aspect of grasslands, and insightful results.

Insights into grass phenology from herbarium specimens

Their analysis of herbarium specimens sheds new light on how the reproductive timing of grasses responds to temperature and precipitation. Specifically, they find that warmer annual temperatures tend to accelerate reproductive times of C3 grasses, but delay reproductive times of C4 grasses, with the greatest effects seen in annual species and in wetter, more northern locations; and that increased precipitation tends to delay reproduction for most grass species. These findings suggest substantial, and potentially predictable, ecological consequences, and highlight the need for more work in this area. Munson & Long took an innovative approach to addressing this challenge. Climate drives shifts in grass reproductive phenology across the western USA - Munson - 2016 - New Phytologist. Herbarium specimens show patterns of fruiting phenology in native and invasive plant species across New England - Gallinat - 2018 - American Journal of Botany.

Premise of the Study. Reproductive phenology of Leptolobium dasycarpum and L. elegans across the Brazilian savanna based on herbarium records. Abe et al., 2018 N. Abe, R.C. Miatto, M.A. Validating Herbarium-Based Phenology Models Using Citizen-Science Data. + Author Affiliations Both herbarium specimens and citizen-science observations have become increasingly accessible but underutilized sources of data for phenology research. We developed and tested a novel technique that uses high-quality citizen-science observations to provide an independent validation of phenology models derived from herbarium specimens. Using this approach, we were able to evaluate the strengths and weaknesses of the herbarium data set.

We found that our models were valid for understanding the relative shifts in the phenology of the focal species across a large geographic area but needed further calibration to provide accurate predictions for specific dates and locations. As herbarium specimens become increasingly digitized and citizen science becomes more frequently used as a research methodology, the potential application of the technique we present here will grow. © The Author(s) 2016. Using herbarium specimens to select indicator species for climate change monitoring. Phenological research using herbarium specimens. Climate Change and Phenology. Old Plants, New Tricks: Phenological Research Using Herbarium Specimens: Trends in Ecology & Evolution.