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1 The North America and Eurasia Arctic transects: Using phytosociology and remote sensing to detect vegetation pattern and change D.A. Walker 1 , P. Kuss 1,2 , M. Kopecky 3 , G.V. Frost 4 , F.J.A. Daniëls 5 , A. Kade 1 , C.M. Vonlanthen 1,6 , M.K. Raynolds 1 , H.E. Epstein 4 1 Institute of Arctic Biology, University of Alaska Fairbanks, 2 Institute of Plant Sciences, University of Bern, 3 Department of Botany, Faculty of Science, Charles University in Prague and Department of Vegetation Ecology, Institute of Botany, Academy of Sciences of the Czech Republic, 4 Department of Environmental Sciences, University of Virginia, 5 Institute of Biology and Biotechnology of Plants, Hindenburgplatz 55, 48149, Münster, Germany, 6 Bundesamt für Umwelt BAFU, Abteilung Gefahrenprävention, Bern, Switzerland An Internationa l Polar Year initiative

The North America and Eurasia Arctic transects:

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Walker, D.A., Kuss, H.P., Kopecky, M., Frost, G.V., Kade, A., Vonlanthen, C., Raynolds, M.K., and Epstein, H., 2011, The North America and Eurasia Artctic transects: Using phytosociology and remote sensing to detect vegetation pattern and change: Proceedings Euiropean Vegetation Survey, 20th Workshop, Rome, 6-9 April 2011,

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Page 1: The North America and Eurasia Arctic transects:

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The North America and Eurasia Arctic transects: Using phytosociology and remote sensing

to detect vegetation pattern and change

D.A. Walker1, P. Kuss1,2 , M. Kopecky3, G.V. Frost4, F.J.A. Daniëls5, A. Kade1, C.M. Vonlanthen1,6, M.K. Raynolds1, H.E. Epstein4

1 Institute of Arctic Biology, University of Alaska Fairbanks, 2 Institute of Plant Sciences, University of Bern, 3 Department of Botany, Faculty of Science, Charles University in Prague and Department of Vegetation Ecology, Institute of Botany, Academy of Sciences of the Czech Republic, 4Department of Environmental

Sciences, University of Virginia, 5 Institute of Biology and Biotechnology of Plants, Hindenburgplatz 55, 48149, Münster, Germany, 6 Bundesamt für Umwelt BAFU, Abteilung Gefahrenprävention, Bern, Switzerland

Lecture presentation, European Vegetation Survey 20 th Workshop, Rome, Italy, 6-9 April 2011

An International Polar Year initiative

Page 2: The North America and Eurasia Arctic transects:

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Major goal of the Greening of the Arctic project:

Link spatial and temporal trends of vegetation greenness observed on AVHRR satellite images to ground observations along both transects.

Climate

Vegetation

Soils

Permafrost

Spectral properties

N-factor

Biomass

Plant species coverNDVI and LAI Active layer depth

Soil characterizationSite characterizatiion

Permafrost boreholes

Page 3: The North America and Eurasia Arctic transects:

Field studies along two 1800-km Arctic transects

USGS 1-km AVHRR data set used for the CAVM.

• North America Arctic Transect: 2002-2006 Biocomplexity of Arctic Patterned Ground Ecosystems Project (NSF).

• Eurasian Arctic Transect: 2007-2010, Greening of Arctic (NASA).

• Both transects through all five Arctic bioclimate subzones.

Bioclimate SubzonesSub-Zone MJT (˚C) Shrubs A 1-3 none B 3-5 prostrate C 5-7 hemi-prostrate D 7-9 erect dwarf E 9-12 low

Map by Shalane Carlson, based on CAVM Team (2003)

Page 4: The North America and Eurasia Arctic transects:

1-km AVHRR-NDVI patterns for the Arctic along the two transects

• General pattern of reduced NDVI with higher latitude and elevation.

Map by Martha Raynolds & Shalane Carlson

Page 5: The North America and Eurasia Arctic transects:

Mean Summer Warmth

°C mo

0 - 4.8

4.8 - 12.3

12.3 - 20.8

20.8 - 28.3

28.3 - 34.7

34.7 - 40.6

40.6 - 47.0

Summer Warmth Index (AVHRR) Vegetation (CAVM Team 2003)

Variation in climate and vegetation along the transects

Map by Martha Raynolds & Shalane Carlson, based on CAVM Team (2003)

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Zonal vegetation along both transects

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Eurasia Transect A - Hayes Island B - Ostrov Belyy C – Kharasavey D - Vaskiny Dachi E - Laborovaya

North America transect A - Isachsen B- Mould Bay C - Green Cabin D - Sagwon MNT E - Happy Valley

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North American Arctic Transect: part of a study of biocomplexity of arctic patterned ground

Based on Walker et al. 2011 (in revision). Applied Vegetation Science.

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Biocomplexity activities

Isachsen, Ellef Ringnes I.

• CALM Grids• Active layer• Vegetation • Snow

• Climate /permafrost• Met station• Soil temperatures• Frost heave

• Soils • Characterization• Nitrogen mineralization• Decomposition

• Vegetation• Classification• Biomass • Mapping

• Remote sensing• NDVI• Mapping

• Modeling• Education

Page 9: The North America and Eurasia Arctic transects:

Small landscape maps along climate gradient: 10 x 10 grids

Raynolds, M.K., Walker, D.A., Munger, C.A., et al. 2008. A map analysis of patterned-ground along a North American Arctic Transect. Journal of Geophysical Research - Biogeosciences. 113:1-18

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Classification of patterned-ground vegetation along the NAAT

Summarized in three papers using the Braun-Blanquet approach.

Low Arctic: Kade, A., Walker, D.A., and Raynolds, M.K., 2005, Phytocoenologia, v. 35, p. 761-820.

High Arctic: Vonlanthen, C.M., Walker, D.A., Raynolds, M.K., Kade, A., Kuss, H.P., Daniëls, F.J.A., and Matveyeva, N.V., 2008, Phytocoenologia, v. 38, p. 23-63.

Synthesis: Donald A. Walker, Patrick Kuss, Howard E. Epstein, Anja N. Kade, Corinne M. Vonlanthen, Martha K. Raynolds & Fred J.A. Daniëls, 2011 (in revsion). Applied Vegeation Science

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Studied contrast in vegetation on and between frost features

Kade et al 2005

Deadhorse Subzone C

Braya purpurascens-Puccinellia angustata community

Dryas integrifolia-Salix arctica community

Nonsorted Circle Between Circles

Page 12: The North America and Eurasia Arctic transects:

Frost-boil plant communities, soil and site information

Kade et al. 2005, Plant communities and soils in cryoturbated tundraalong a bioclimate gradient in the Low Arctic, Alaska. Phytocoenologia, 35: 761-820.

Plant communities Soil and site data

Page 13: The North America and Eurasia Arctic transects:

Ordination of zonal patterned ground vegetation: controlling

environmental gradients

• NMDS ordination.

• Clear gradient of vegetation response to cryoturbation within each subzone and clear floristic separation between subzones.

• But no clear overall controlling factors for the whole data set.

• Floristic separation between Alaska and Canada portions of the gradient due to different floristic provinces, and substrate differences.

Patterned-ground features

Between patterned-ground features

Intermediate

Walker et al. 2011 in revision. Applied Vegetation Science.

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A few of the conclusions from the NAAT vegetation studies

1. Vegetation is the principal factor affecting thermal differentials between the centers and margins of small patterned-ground features and strongly affects the types of patterned ground features that are dominant within zonal Arctic landscapes.

2. Recognizing characterizing and classifying the small-scale plant communities within respective microhabitats was essential for understanding the biological and physical controls of patterned-ground morphology.

3. The zonal patterned-ground vegetation complexes (combined microhabitats) were useful for landscape and regional-level comparisons, such as comparison of floristic richness in zonal landscapes, or for extrapolation of information collected at plot scales (such as biomass and NDVI) to larger regions.

Page 15: The North America and Eurasia Arctic transects:

The Eurasian Arctic Transect:

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• Part of an IPY study to examine the linkages between changing Arctic sea-ice conditions, summer land temperatures, and vegetation

• 2010 expedition to Hayes Island, Franz Josef Land, completed parallel transect studies in North America and Eurasia.

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1. Extensive nutrient-poor surface sands with lichens that are easily overgrazed by reindeer.

2. Underlain by permafrost with massive pure ice.

3. Extensive landslides are rapidly eroding the landscape.

4. This exposes salt-rich and nutrient-rich clays.

5. Complex vegetation succession process that results in willow-shrub tundra and much greener vegetation in the eroded valleys.

High-ice Permafrost Landscapes of the Yamal Peninsula

Photos: D.A. Walker and M. Liebman (upper right)

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Reindeer effects on greenness patterns:

Photos: Bruce Forbes.

Overgrazing Trampling

Grassification Wind erosion

• Effects on reindeer on NDVI are unknown at present because of lack of control areas to study the effects (exclosures).

• Potential major effect in sandy areas.

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Typical layout of transects and plots at each EAT site

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• Sampled loamy and sandy sites within each subzone.

• Five 50-m transects

• Five 5 x 5-m plots (relevés)

• Biomass harvests in each plot (x)

• iButtons for n-factor in corner of each plot (•)

• Soil pit in SW cornerSoil pit

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NMDS Ordination of all EAT study plots based on floristic similarity

a, b, c, d, e: Bioclimate subzones

• Subzone A floristically distinct from the rest of the gradient.

• Plots organized along the Axis 1 by summer warmth, and along the second axis by soil texture, reflecting the sampling strategy.

Sandy

Loamy

Increasing summer warmth

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Full data set: Axis 1: Complex biomass / summer-warmth gradient

Subzone C

Subzone D

Subzone B

Subzone E

• Axis 1 most strongly correlated with total biomass.

• Also, summer warmth, NDVI, LAI, disturbance, active layer thickness, species richness.

Subzone A

Total Biomass (g m-2)Summer warmth (˚C mo)

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Vo

l. s

oil

mo

istu

re (

g c

m-3)

Full data set: Axis 2: Complex soil moisture, soil texture, N, organic matter

gradient

Soil moisture

Total N

Total C

Pct. sand

N a

nd

C (

%)

Sa

nd

(%

)

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Biomass space: Yamal plots only (excluding FJL)

Total Biomass (g m-2)

Total shrub biomass

Total graminoid biomass

Field NDVI

Bryophyte biomass Lichen biomass Field LAI

• Field NDVI is most strongly correlated to total biomass.

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Toward a synthesis of the two transectsAlthough the research along the two transects had different objectives. There is a common primary data set from both transects:

1. Vegetation, soils, and site factors from zonal vegetation along the complete Arctic bioclimate gradient.

2. Ground measurements of key plant productivity variables: biomass, LAI, and NDVI.

3. A circumpolar remote-sensing data set that contains vegetation, land temperatures, and NDVI data for both transects and changes in NDVI since 1982.

This allows us to compare the spatial and temporal trends in vegetation, biomass, and NDVI between the two transects in response to ongoing changes in climate and land-use.

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Synoptic tables for NAAT and EAT

NAAT EAT

Only a few taxa were diagnostic for the same subzone along both transects:

Subzone A:Cerastium arcticumDraba subcapitataSaxifraga cernua

Subzone E:Betula nana/exilisEmpetrum nigrumSalix phylicifolia/pulchra

But many more for the broader High Arctic, Low Arctic groups of subzones.

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Compared to NAAT, EAT has:

• Less biomass in subzone A (Wetter, much colder).

• More biomass in subzone C, (Wetter, unglaciated landscape along the EAT.)

• Much more biomass in subzone E.

• Fewer evergreen shrubs and lichens. (Reindeer?)

Plot-level biomass trends along EAT and

NAAT

NAAT

EAT

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Comparison of EAT and NAATLeaf Area Index vs. Biomass

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• An equivalent amount of biomass has consistently much higher LAI values along the NAAT than along the EAT and the difference increases at higher biomass values.

• Reflects the different structure of the vegetation along the two transects. Higher proportion of the total biomass is non-green along the NAAT (more wood, standing dead, hairy leaves, brown moss, evergreen shrubs and lichens).

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Almost identical correlation between AVHRR NDVI and biomass along the two transects

27Raynolds et al. 2011 submitted. Geophysical Research Letters.

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Circumpolar aboveground biomass derived from NDVI

Raynolds et al. 2011 submitted, Geophysical Research Letters

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Conclusions

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1. There are broad similarities in community composition and structure between North America and Eurasia transects, but also major differences related to different disturbance regimes, geology, and precipitation patterns.

2. The Eurasia transect is much more homogeneous in the middle part of the transect (subzones B, C, D) than the NAAT.

3. Based on these data, it is not possible to define distinct zonal plant communities, except at the ends of the gradient in Subzones A and E, which are similar on both transects. The middle parts of the gradients have few good diagnostic taxa.

4. Ordination analysis reveals strong relationships between field-NDVI and total live biomass.

5. There is also a very strong correlation between AVHRR NDVI and zonal landscape-level biomass, that is nearly identical along both transects, which gives us good confidence in the biomass of zonal sites as depicted on our biomass map of the Arctic.

6. This study has shown the feasibility of studying and monitoring zonal landscape-level biomass and NDVI across the full Arctic bioclimate gradient.

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CollaborationsInstitutions:

University of Alaska University of Virginia Earth Cryosphere Institute (RAS), Arctic Centre, Rovaniemi Agriculture and Agri-Foods, Canada University of Münster Masaryk University, Brno

Funding U.S.: NSF, NASA Finland: ENSINOR Russian Academy of

Science

Synthesis data analysts: Patrick Kuss, Martin Kopecky and JJ Frost