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Buds, Leaves and Global Warming John OKeefe Harvard Forest - PowerPoint PPT Presentation

Buds, Leaves and Global Warming John OKeefe Harvard Forest jokeefe@fas.harvard.edu www.harvardforest.harvard.edu/schoolyard-lter-program www.harvardforest.harvard.edu/buds-leaves-global- warming


  1. Buds, Leaves and Global Warming John O’Keefe Harvard Forest jokeefe@fas.harvard.edu • www.harvardforest.harvard.edu/schoolyard-lter-program • www.harvardforest.harvard.edu/buds-leaves-global- warming • www.harvardforest.harvard.edu/autumn-foliage-color

  2. What is phenology ? The science of the relations between climate and periodic biological phenomena (i.e. leaf emergence, flowering, leaf senescence/drop, animal migration, hibernation etc.)

  3. Why study phenology? • Data provide markers to track mass and energy interactions between the atmosphere and biosphere. • Long-term data sets are records of the biosphere’s responses to global change . • Individual plant observations, ‘ phenocam ” images and satellite data document the timing and pattern of annual ‘green - up’ and ‘green - down’. • Native species and inter-regional indicator plant (clones) observations can be used to calibrate satellite and ‘ phenocam ’ digital data. • Leafout and leaf senescence in temperate regions influence meteorological (cloud cover/type) and hydrological (stream flow) phenomena.

  4. What are the main factors affecting the timing of woody species leaf phenology? • Spring leafout – Cold treatment – Cumulative heat sum (growing degree days) – Day length • Fall leaf drop – Temperature and frosts – Day length – Drought – Wind

  5. Harvard Forest Study • Started in 1990 (spring) and 1991 (fall, but fall 1992 not done). • Originally 33 species of trees and shrubs (3-5 individuals per species), but in 2002 decreased to 15 species in fall and 9 species in spring to reduce the time needed for the study. • I observe about weekly, but more often in late April-early May and early October when events are progressing most rapidly. • I observe and estimate % values (leaf emergence, leaf development, leaf color, leaf drop) over the entire tree (rather than a set number of tagged leaves/bids), which is in fact easier than labeling and counting individual leaves, but doesn’t work with younger students.

  6. % leaves emerged by tree - 4 species 2012 100 Series1 90 Series2 80 Series3 Series4 70 % leaves emerged Series5 60 Series6 Series7 50 Series8 40 Series9 30 Series10 Series11 20 Series12 10 Series13 Series14 0 Series15 90 100 110 120 130 140 150 Day of year

  7. % leaf emergence by tree - 4 spp 2013 100 RM-1 90 RM-2 80 RM-3 70 RM-4 % leaves emerged RM-5 60 YB-1 50 YB-2 YB-3 40 WO-1 30 WO-2 WO-3 20 RO-1 10 RO-2 RO-3 0 110 115 120 125 130 135 140 145 RO-4 Day of year

  8. % leaf emergence by tree - 4spp 2014 100 90 RM-1 RM-2 80 RM-3 70 RM-4 % leaves emerged RM-5 60 YB-1 YB-2 50 YB-3 40 WO-1 WO-2 30 WO-3 20 RO-1 RO-2 10 RO-3 0 RO-4 120 125 130 135 140 145 150 155 160 Day of year

  9. % leaf emergence by tree 4 spp -2015 100 90 RM-1 80 RM-2 RM-3 70 RM-4 % leaves emerged RM-5 60 YB-1 YB-2 50 YB-3 WO-1 40 WO-2 WO-3 30 RO-1 RO-2 20 R0-3 10 RO-4 0 110 115 120 125 130 135 140 145 150 Day of year

  10. 50% budbreak date for 5 red maples 1990-2015 145 140 135 130 ACRU1BB 125 ACRU2BB ACRU3BB 120 ACRU4BB 115 ACRU5BB 110 105 100

  11. Mean 50% bud break(BB), 75% leaf development(75) and 50% leaf fall(L50) for 4 species (Acer rubrum-ACRU n=5, Betula alleghaniensis-BEAL n=3, Quercus rubra-QURU n=4 and Q. alba- QUAL n=3) 320 ACRUBB 300 BEALBB 280 QURUBB 260 QUALBB DAY OF YEAR 240 ACRU75 220 BEAL75 200 QURU75 180 QUAL75 ACRUL50 160 BEALL50 140 QURUL50 120 QUALL50 100 YEAR

  12. Mean 50% budbreak dates for four species 1990-2015 150 ACRUBB 145 BEALBB 140 QURUBB 135 QUALBB 130 Linear (ACRUBB) 125 Linear (BEALBB) 120 Linear (QURUBB) R² = 0.0002 115 Linear (QUALBB) 110 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014

  13. MEAN BB50 (4 SPP, N=15) 140 135 DAY OF YEAR 130 125 MEANBB 120 R 2 = 0.0738 Linear (MEANBB) 115 Linear (MEANBB) 110 105 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 YEAR

  14. MEAN BB50 (4 SPP, N=15) 140 DAY OF YEAR 135 130 MEANBB 125 Linear (MEANBB) 120 R² = 0.0745 Linear (MEANBB) 115 110 YEAR

  15. MEAN BB50 (4 SPP, N=15) 140 135 DAY OF YEAR 130 MEANBB 125 Linear (MEANBB) R² = 0.0193 120 Linear (MEANBB) 115 110 YEAR

  16. MEAN BB50 (4 SPP, N=15) 140 DAY OF YEAR 135 130 MEANBB 125 Linear (MEANBB) R² = 0.0154 120 Linear (MEANBB) 115 110 YEAR

  17. MEAN LF50 (4 SPP, N=15) 300 DAY OF YEAR 295 290 MEANLF50 285 Linear (MEANLF50) R 2 = 0.1496 Linear (MEANLF50) 280 275 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 YEAR

  18. MEAN LF50 (4 SPP, N=15) 300 DAY OF YEAR 295 290 MEANLF50 Linear (MEANLF50) Linear (MEANLF50) 285 R² = 0.0735 280 YEAR

  19. MEAN LF50 (4 SPP, N=15) 300 DAY OF YEAR 295 290 MEANLF50 Linear (MEANLF50) 285 Linear (MEANLF50) R² = 0.0602 280 YEAR

  20. MEAN LF50 (4 SPP, N=15) 300 DAY OF YEAR 295 290 MEANLF50 Linear (MEANLF50) 285 Linear (MEANLF50) R² = 0.1251 280 YEAR

  21. LEAVES ON DAYS (4 SPP, N=15) 175 LEAVES ON DAYS 170 # OF DAYS 165 160 Linear (LEAVES ON 155 DAYS) R 2 = 0.1505 150 Linear (LEAVES ON 145 DAYS) 140 1991 1994 1997 2000 2003 2006 2009 2012 YEAR

  22. LEAVES ON DAYS (4 SPP, N=15) 175 170 LEAVES ON DAYS # OF DAYS 165 160 Linear (LEAVES ON DAYS) 155 R² = 0.1108 Linear (LEAVES ON DAYS) 150 145 YEAR

  23. LEAVES ON DAYS (4 SPP, N=15) 175 170 LEAVES ON DAYS # OF DAYS 165 160 Linear (LEAVES ON DAYS) 155 R² = 0.0328 150 Linear (LEAVES ON DAYS) 145 140 YEAR

  24. LEAVES ON DAYS (4 SPP, N=15) 175 170 # OF DAYS LEAVES ON DAYS 165 160 Linear (LEAVES ON DAYS) 155 R² = 0.057 150 Linear (LEAVES ON DAYS) 145 140 YEAR

  25. Mean Annual Temperature at Harvard Forest Meteorological Station Mean annual temperature has increased 0.3C per decade , though with large interannual variability, and seasons independently of annual mean

  26. Choosing a Site and Trees • Sites with a variety of native trees with branches in easy reach of students, located in an easily monitored area, are best. • Trees in reach -each study tree should have two or more branches on which students can reach and monitor 6 leaves. • Trees that will last -try to pick trees that will have a low chance of being cut for maintenance or vandalized. This can be a challenge/ • Tree variety -a variety of native tree species is best, especially for comparing results across the region. • Tree branches -try to use two or more branches on each tree (for replication), with one branch for each student research team.

  27. Tree ID tips • The first thing to look at is the arrangement of leaves, buds and branches. Are they opposite each other or staggered alternately along the branch or stem. • Only a few native trees (maples, ashes, dogwoods – MAD ) have opposite leaves/branches. The rest are alternate. • Are the leaves simple (each leaf has a bud at the base of its stem or petiole) or compound (the leaf stem that is attached to the woody twig next to the bud has many leaflets along it)? The ashes, hickories, walnut, butternut and sumacs are the main compound leaf species in this region. • Then look at leaf shape, edges and vein pattern, bud shape and check for twig smell and bark characteristics.

  28. Site preparation • You will need one branch with 6 leaves/buds for each student team participating in the study. • Label (with flagging) each tree in your study, 1 through X ( X= total number of trees) and record the species of each tree. Plan to observe at least two branches on each study tree. • Label (with flagging) each branch being studied on each tree with a letter, A, B, C,…etc. So each study branch will be identified with a tree number and branch letter (i.e. 1A, 1B, 1C, 2A etc.) • If a branch (or tree) dies, not that unusual, try to pick another branch on that tree and use the next letter, pick a branch on another study tree of the same species and use the next letter, or try to find another tree of that species and add it to your study with new tree and branch labels.

  29. Labeling leaves/buds • This is probably the hardest part of this study, but it is necessary to ensure consistency in data collection. The teacher should choose and label trees and branches (6 leaves/buds per branch) before bringing students to the site. • Branches are labeled by tying a piece of flagging (with the tree and branch number/letter) just behind the 6 study leaves/buds on the branch. • When choosing and labeling leaves/buds do not use the terminal/tip leaf/bud, but start counting at the next leaf from the tip as #1, then the next as #2, etc. On opposite leaved trees #1 and #2 will be paired across from each other. If there is a side branch on your main branch before you reach #6, use the tip bud on the side branch as the next # and continue using buds down the side branch until you reach #6 or, if necessary, return to leaves on the main branch. Note, you do use the tip bud on side branches, just not on the main branch.

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