Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century.

  title={Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century.},
  author={Jeffrey T. Morisette and Andrew D. Richardson and Alan K. Knapp and Jeremy I. Fisher and Eric A. Graham and John T. Abatzoglou and Bruce E. Wilson and David D. Breshears and Geoffrey M. Henebry and Jonathan Hanes and Liang Liang},
  journal={Frontiers in Ecology and the Environment},
Phenology is the study of recurring life-cycle events, classic examples being the flowering of plants and animal migration. Phenological responses are increasingly relevant for addressing applied environmental issues. Yet, challenges remain with respect to spanning scales of observation, integrating observations across taxa, and modeling phenological sequences to enable ecological forecasts in light of future climate change. Recent advances that are helping to address these questions include… 

Figures and Tables from this paper

Long-Term Detection of Global Vegetation Phenology from Satellite Instruments

Vegetation phenology is the expression of the seasonal cycles of plant processes and their connections to climate change (temperature and precipitation). The timing of phenological events can be used

Plant phenological responses to climate change on the Tibetan Plateau: research status and challenges

Phenology studies the cycle of events in nature that are initiated and driven by an annually recurring environment. Plant phenology is expected to be one of the most sensitive and easily observable

Plant phenology and climate change

Phenology, the timing of annually recurrent reproductive biological events, provides a critical signal of climate variability and change effects on plants. Considerable work over the past five

On the uncertainty of phenological responses to climate change, and implications for a terrestrial biosphere model

Abstract. Phenology, the timing of recurring life cycle events, controls numerous land surface feedbacks to the climate system through the regulation of exchanges of carbon, water and energy between

Phenology Patterns Across a Rupestrian Grassland Altitudinal Gradient

The first community level plant phenology study across an altitudinal gradient from cerrado through rupestrian grassland to higher altitudinal grasslands developed in the South Espinhaco Mountain range (Serra do Cipo, Brazil) is presented.

Monitoring Forest Phenology in a Changing World

Plant phenology is strongly interlinked with ecosystem processes and biodiversity. Like many other aspects of ecosystem functioning, it is affected by habitat and climate change, with both global

A macroecological perspective for phenological research under climate change

Life cycles of animals and plants worldwide are shifting in response to recent climate change. Macroecology, which deals with biological patterns and processes at a large scale, is ideally suited to

Variability and evolution of global land surface phenology over the past three decades (1982–2012)

The variability and evolution of satellite-derived growing season length globally and over the past three decades is reviewed and the relative contribution of SOS and EOS to the overall changes are examined, finding that EOS trends were generally stronger and more prevalent than SOS trends.

Spring Phenology of the Boreal Ecosystems

Ecosystem phenology, i.e., the timing of key biological events, is often considered as both a witness and an actor of climate change. Phenological interannual variations and decadal changes reflect

Shifting plant phenology in response to global change.

Scaling phenology from the local to the regional level: advances from species‐specific phenological models

Plant phenology, the study of seasonal plant activity driven by environmental factors, has found a renewal in the context of global climate change. Phenological events, such as leaf unfolding, exert

Phenology: An Integrative Environmental Science

Phenology is the study of plant and animal life cycle events, which are triggered by environmental changes, especially temperature. Wide ranges of phenomena are included, from first openings of leaf

Global-Scale Assessment of Vegetation Phenology Using NOAA/AVHRR Satellite Measurements

Abstract Phenology and associated canopy development exert a strong control over seasonal energy and mass exchanges between the earth’s surface and the atmosphere. Satellite measurements are used to

Influences of species, latitudes and methodologies on estimates of phenological response to global warming

New analyses are presented addressing the global impacts of recent climate change on phenology of plant and animal species. A meta‐analysis spanning 203 species was conducted on published datasets

Phenology and Springtime Surface-Layer Change

Abstract Current vegetation models hold constant the dynamics of seasonal biospheric changes, neglecting annual variability. One of these features, the spring “green wave” (onset of leafing or

A generalized, bioclimatic index to predict foliar phenology in response to climate

The model appears sufficiently robust to reconstruct historical variation as well as to forecast future phenological responses to changing climatic conditions and is used to produce a global map that distinguishes major differences in regional phenological controls.

Monitoring vegetation phenology using MODIS

Phenology of mixed woody-herbaceous ecosystems following extreme events: net and differential responses.

This work presents responses of a mixed woody-herbaceous ecosystem type to an extreme event: regional-scale piñon pine mortality following an extended drought and the subsequent herbaceous green-up following the first wet period after the drought.

Photographs and herbarium specimens as tools to document phenological changes in response to global warming.

Dated photographs of plants in flower represent a new resource to extend the range of species and localities addressed in global-warming research and show changes in flowering times that closely match independent data on the same species in the same locations.