the usa national phenology network jake f. weltzin and mark losleben usa national phenology network,...

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The USA NATIONAL PHENOLOGY NETWORK Jake F. Weltzin and Mark Losleben USA National Phenology Network, National Coordinating Office, Tucson, Arizona NATIONAL PHENOLOGY NETWORK (USA-NPN) NATIONAL COORDINATING OFFICE 1955 E. Sixth Street Tucson, AZ 85721 FAX 520-792-0571 www.usanpn.org Jake Weltzin Executive Director [email protected] v Mark Losleben Assistant Director [email protected] a.edu 520-626-4696 NPN Network Structure NPN Network Structure A National Phenology Network Phenology is the study of periodic plant and animal life cycle events and how these are influenced by seasonal and interannual variations in climate. Examples include the timing of leafing and flowering, agricultural crop stages, insect emergence, and animal migration. All of these events are sensitive measures of climatic variation and change, are relatively simple to record and understand, and are vital to both the scientific and public interest. Phenology can be used as a predictor for a variety of processes and variables of importance at local to global scales. Phenology modulates the abundance and diversity of organisms, their inter-specific interactions, their ecological functions, and their effects on fluxes in water, energy, and chemical elements at various scales. Phenological data and models are useful in agriculture, drought monitoring, and wildfire risk assessment, as well as management of invasive species, pests, and infectious diseases. Integration of spatially-extensive phenological data and models with both short and long-term climatic forecasts offer a powerful agent for human adaptation to ongoing and future climate change. To fully utilize the value in phenological data, however, a new data resource is required – a large-scale network of integrated phenological observations, linked with other relevant data sources, and the tools to analyze these data at multiple scales. A USA National Phenology Network (USA-NPN) is currently being designed and organized to engage federal agencies, environmental networks and field stations, educational institutions, and mass participation by citizen scientists. PHENOLOGY: THE PULSE OF OUR PLANET Phenology is an essential component of the biosphere Adapted from Bonan Adapted from Bonan (2002) (2002) Ecol. Climatology Ecol. Climatology Phenology modulates terrestrial carbon cycles at multiple temporal & spatial scales Global Change Influences & is Influenced by Phenology A mplification of s easonal cycle GOALS -To advance the USA-NPN scientific mission to understand and predict shifts in phenological cycles due to climate change and natural variability. -benefit from and contribute to many existing organizations that are concerned about nature and climate. -Maximize resources through close collaboration with organizations. This represents not only the best use of available resources but also the best scientific practice. PLAN -Coordinate research activities with existing networks to advance phenological science and develop mechanistic phenological models to support improvement of climate and ecosystem models. -Maximize the representation of phenological monitoring sites at the national and regional scale to enable biological baseline characterization and trend detection. - Provide data and information to policy makers to support land management decisions in regard to the mitigation of climate change impacts. PRIORITIES - Establish coordination between NPN and existing networks - Identify constraints and needs of existing networks and develop tailored collaborative items suitable for each network - Nurture common interests\develop collaborative research projects - Organize joint workshops - Distribute NPN newsletters PRINCIPLES - Mutually beneficial activities - Shared vision on science / education / outreach - Minimizing the demand on the capacities of partners - Feedback to improve collaboration - Transparent data and information sharing policy USA-NPN Collaboration Plan Integration of spatially-extensive phenological data and models with both short and long- term climatic forecasts offer a powerful agent for human adaptation to ongoing and future climate change. 1980 1985 1990 1995 2000 2005 Firstsighting to first Mertensia flow er (days) 20 30 40 50 60 r 2 = .192,p = .03 Nymphalis milberti Emergence is changing relative to flowering Phenology influences interactions among organisms Rocky Mtn. Biol. Laboratory Rocky Mtn. Biol. Laboratory Courtesy of David Inouye Mertensia fusiformis What you need to know to run model: Morin and Chuine (2005) Global Change Biology PHENOFIT: A process-based tree distribution model PHENOFIT: A process-based tree distribution model 170°0'0"O 170°0'0"O 160°0'0"O 160°0'0"O 150°0'0"O 150°0'0"O 140°0'0"O 140°0'0"O 130°0'0"O 130°0'0"O 120°0'0"O 120°0'0"O 110°0'0"O 110°0'0"O 100°0'0"O 100°0'0"O 90°0'0"O 90°0'0"O 80°0'0"O 80°0'0"O 70°0'0"O 70°0'0"O 60°0'0"O 60°0'0"O 16°0'0"N 16°0'0"N 26°0'0"N 26°0'0"N 36°0'0"N 36°0'0"N 46°0'0"N 46°0'0"N 56°0'0"N 56°0'0"N 66°0'0"N 66°0'0"N phenology: budburst, flowering, fruit maturation, leaf coloring frost hardiness: minimum temperature sustained during active growth and dormancy drought tolerance Populus Tremuloides- Quaking aspen Courtesy of Mike Dettinger, USGS Days per year Days longer Mean length of historical (1950- 1999) growing season, defined as the longest interval in a given year with no daily mean temp. in 3-day periods < 5ºC Different sensitivities with uniform 3ºC warming, probably due to relative importance of advective vs. radiative freezing Historical data from Variable Infiltration Capacity model input fields (Maurer et al., 2002 ) Spring index based on first leaf date for lilacs Schwartz and Reiter 2000 International. J. Climatology Syringa vulgaris (common lilac) Syringa chinensis (cloned lilac) Tier 2: Example of Spatially Extensive Science Networks Green-up DOY 1 182 365 Dormancy DOY EVI 1 182 365 Courtesy of Arizona Remote Sensing Center Office of Arid Lands Studies University of Arizona Tier 4: REMOTE SENSING can fill gaps between ground observations to produce a continuous surface of phenology estimates at the continental scale Tier 3: Volunteer & Education Networks: Citizen Science, Education, and Outreach Tier 3 Goals •Engage public in long-term phenological data collection and analysis through formal and informal science education programs •Engender self-directed, voluntary learning using inquiry-based approaches •Provide training in the tools and applications of phenological studies to citizens and scientists •Enhance opportunities for the public to interact with professional scientists. Tier 3 Programs •Project BudBurst (www.budburst.org), an online educational and program targeting students and nature enthusiasts •Students Observing Seasons, a suite of GK- 12 education modules •Phenology 101 and the Phenological Stewardship Program, programs to facilitate integration of phenology studies into undergraduate curricula •Masters of Monitoring, targeted to public and private institutions with docent programs •Laboratory exercise for Teaching Issues and Experiments in Ecology (TIEE) focused on phenology of flowering in Colorado (in development) Why employ citizen scientists? • Distributed data collection network • Casual observers become dedicated observers • Engagement in meaningful activities • Education/awareness engenders science literacy • Generation of political/policy support • Historic/baseline data (pre- network) • Potentially rich datasets collected Project BudBurst •Pilot program, April – June 2007 •913 phenological events from 26 states •Most-reported spp. were common dandelion. Forsythia, and black locust •485 “other” species •BudBurst report and data are available online, www.budburst.org Tier 3 Exampl e PHENOLOGY as an INTEGRATIVE SCIENCE for ASSESSMENT of GLOBAL CHANGE IMPACTS NPN Tier 1: Examples of Intensive Sites Long Term Ecological Research (LTER) Experimental Forest and Range Synthesis Network National Ecological Observatory Network (NEON) Ameriflux

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Page 1: The USA NATIONAL PHENOLOGY NETWORK Jake F. Weltzin and Mark Losleben USA National Phenology Network, National Coordinating Office, Tucson, Arizona NATIONAL

The USA NATIONAL PHENOLOGY NETWORK

Jake F. Weltzin and Mark Losleben USA National Phenology Network, National Coordinating Office, Tucson, Arizona

NATIONAL PHENOLOGY NETWORK (USA-NPN)NATIONAL COORDINATING OFFICE

1955 E. Sixth StreetTucson, AZ 85721FAX 520-792-0571www.usanpn.org

Jake WeltzinExecutive [email protected]

Mark LoslebenAssistant [email protected]

NPN Network StructureNPN Network Structure

A National Phenology Network

Phenology is the study of periodic plant and animal life cycle events and how these are influenced by seasonal and interannual variations in climate. Examples include the timing of leafing and flowering, agricultural crop stages, insect emergence, and animal migration. All of these events are sensitive measures of climatic variation and change, are relatively simple to record and understand, and are vital to both the scientific and public interest. Phenology can be used as a predictor for a variety of processes and variables of importance at local to global scales. Phenology modulates the abundance and diversity of organisms, their inter-specific interactions, their ecological functions, and their effects on fluxes in water, energy, and chemical elements at various scales. Phenological data and models are useful in agriculture, drought monitoring, and wildfire risk assessment, as well as management of invasive species, pests, and infectious diseases. Integration of spatially-extensive phenological data and models with both short and long-term climatic forecasts offer a powerful agent for human adaptation to ongoing and future climate change. To fully utilize the value in phenological data, however, a new data resource is required – a large-scale network of integrated phenological observations, linked with other relevant data sources, and the tools to analyze these data at multiple scales. A USA National Phenology Network (USA-NPN) is currently being designed and organized to engage federal agencies, environmental networks and field stations, educational institutions, and mass participation by citizen scientists.

PHENOLOGY: THE PULSE OF OUR PLANET

Phenology is an essential component of the biosphere

Adapted from Bonan Adapted from Bonan (2002) (2002) Ecol. ClimatologyEcol. Climatology

Phenology modulates

terrestrial

carbon cycles at multiple

temporal & spatial scales

Global Change Influences & is Influenced by

Phenology

Amplification of

seasonal cycle

GOALS

-To advance the USA-NPN scientific mission to understand and predict shifts in phenological cycles due to climate change and natural variability.

-benefit from and contribute to many existing organizations that are concerned about nature and climate.

-Maximize resources through close collaboration with organizations. This represents not only the best use of available resources but also the best scientific practice.

PLAN-Coordinate research activities with existing networks to advance phenological science and develop mechanistic phenological models to support improvement of climate and ecosystem models.-Maximize the representation of phenological monitoring sites at the national and regional scale to enable biological baseline characterization and trend detection.- Provide data and information to policy makers to support land management decisions in regard to the mitigation of climate change impacts.

PRIORITIES- Establish coordination between NPN and existing networks - Identify constraints and needs of existing networks and develop

tailored collaborative items suitable for each network- Nurture common interests\develop collaborative research

projects- Organize joint workshops

- Distribute NPN newsletters

PRINCIPLES - Mutually beneficial activities

- Shared vision on science / education / outreach- Minimizing the demand on the capacities of partners- Feedback to improve collaboration- Transparent data and information sharing policy

USA-NPN Collaboration Plan

Integration of spatially-extensive phenological data and models with both short and long-term climatic forecasts offer a powerful agent for human adaptation to ongoing and future climate change.

1980 1985 1990 1995 2000 2005

Fir

st

sig

hti

ng

to

fir

st M

ert

en

sia

flo

we

r (d

ays

)

20

30

40

50

60

r2 = .192, p = .03

Nymphalis milberti

Emergence is changing relative to flowering

Phenology influences interactions among organisms

Rocky Mtn. Biol. LaboratoryRocky Mtn. Biol. Laboratory

Courtesy of David Inouye

Mertensiafusiformis

What you need to know to run model:

Morin and Chuine (2005) Global Change Biology

PHENOFIT: A process-based tree distribution modelPHENOFIT: A process-based tree distribution model

170°0'0"O

170°0'0"O

160°0'0"O

160°0'0"O

150°0'0"O

150°0'0"O

140°0'0"O

140°0'0"O

130°0'0"O

130°0'0"O

120°0'0"O

120°0'0"O

110°0'0"O

110°0'0"O

100°0'0"O

100°0'0"O

90°0'0"O

90°0'0"O

80°0'0"O

80°0'0"O

70°0'0"O

70°0'0"O

60°0'0"O

60°0'0"O

16°0

'0"N

16°0

'0"N

26°0

'0"N

26°0

'0"N

36°0

'0"N

36°0

'0"N

46°0

'0"N

46°0

'0"N

56°0

'0"N

56°0

'0"N

66°0

'0"N

66°0

'0"N

phenology: budburst, flowering, fruit maturation, leaf coloring

frost hardiness: minimum temperature sustained during active growth and dormancy

drought tolerance

PopulusTremuloides-Quaking aspen

Courtesy of Mike Dettinger, USGS

Days per year Days longer

Mean length of historical (1950-1999)growing season, defined as the longest interval in a given year with no daily mean temp. in 3-day periods < 5ºC

Different sensitivities with uniform 3ºC warming, probably due to relative importance of advective vs. radiative freezing

Historical data from Variable Infiltration Capacity model input fields (Maurer et al., 2002 )

Spring index based on first leaf date for lilacs

Schwartz and Reiter 2000 International. J. Climatology

Syringa vulgaris(common lilac)Syringa chinensis(cloned lilac)

Tier 2: Example of Spatially Extensive Science Networks

Green-up DOY

1 182 365

Dormancy DOY EVI

1 182 365

Courtesy of Arizona Remote Sensing Center

Office of Arid Lands Studies

University of Arizona

Tier 4: REMOTE SENSING can fill gaps between ground observations to produce a continuous surface of phenology estimates at the continental scale

Tier 3: Volunteer & Education Networks: Citizen Science, Education, and Outreach

Tier 3 Goals• Engage public in long-term phenological data collection and analysis through formal and informal science education programs

• Engender self-directed, voluntary learning using inquiry-based approaches

• Provide training in the tools and applications of phenological studies to citizens and scientists

• Enhance opportunities for the public to interact with professional scientists.

Tier 3 Programs• Project BudBurst (www.budburst.org), an online educational and program targeting students and nature enthusiasts

• Students Observing Seasons, a suite of GK-12 education modules

• Phenology 101 and the Phenological Stewardship Program, programs to facilitate integration of phenology studies into undergraduate curricula

• Masters of Monitoring, targeted to public and private institutions with docent programs

• Laboratory exercise for Teaching Issues and Experiments in Ecology (TIEE) focused on phenology of flowering in Colorado (in development)

Why employ citizen scientists?

• Distributed data collection network• Casual observers become dedicated observers• Engagement in meaningful activities• Education/awareness engenders science literacy

• Generation of political/policy support• Historic/baseline data (pre-network)• Potentially rich datasets collected by individuals

Project BudBurst• Pilot program, April –

June 2007• 913 phenological

events from 26 states• Most-reported spp.

were common dandelion. Forsythia, and black locust

• 485 “other” species• BudBurst report and

data are available online, www.budburst.org

Tier 3 Example

PHENOLOGY as an INTEGRATIVE SCIENCE for ASSESSMENT of GLOBAL CHANGE IMPACTS

NPN Tier 1: Examples of Intensive Sites

Long Term Ecological Research (LTER) Experimental Forest and Range Synthesis Network

National Ecological Observatory Network (NEON)

Ameriflux