Presentation is loading. Please wait.

Presentation is loading. Please wait.

Biological Calendars: Using Degree-Days and Plant Phenology to Predict Pest Activity Dan Herms Department of Entomology The Ohio State University Ohio.

Similar presentations

Presentation on theme: "Biological Calendars: Using Degree-Days and Plant Phenology to Predict Pest Activity Dan Herms Department of Entomology The Ohio State University Ohio."— Presentation transcript:

1 Biological Calendars: Using Degree-Days and Plant Phenology to Predict Pest Activity Dan Herms Department of Entomology The Ohio State University Ohio Agricultural Research and Development Center Wooster

2 Landscapes and nurseries are diverse ecosystems

3 Objectives: 1. Degree-days 2. Phenology and biological calendars 3. OSU Phenology Garden Network 4. National Phenology Network

4 Development rate of plants and insects is temperature dependent.

5 Daily temperature readings can be used to calculate growing degree-days, which is a measure of accumulated heat.

6 Degree - Day: Amount of heat accumulated over a specified base temperature during a 24 hour day.

7 Base Temperature: Temperature above which degree-day accumulation is calculated. Ideally, the lower temperature threshold.

8 Lower Temperature Threshold: Temperature below which no growth or development occurs in the species of interest.

9 Cumulative Degree - Days: Number of degree-days accumulated during a specified time interval (i.e. since the beginning of the year).

10 Key Point: Degree-days only have meaning if base temperature and starting date are specified.

11 Calculating Degree-Days Average method Modified average method Modified sine wave

12 70 + 40 2 = - 50 5 DD Average Method: DD = Avg Temp – Base Temp Max = 70, Min = 40

13 Modified Average Method: When minimum temperature drops below base temperature, set minimum = base temp. More accurate when minimum drops below base.

14 70 + 40 2 Modified Average Method: = - 50 5 DD 70 + 50 2 = - 50 10 DD Average Method: Max = 70, Min = 40

15 Modified Sine Wave Method:

16 Limitations of Degree-Day Models: Insect response to temperature is not linear. Lower temperature threshold known for very few species. Measured temperatures not the same as those experienced by the pest. Degree-days are cumbersome to track.

17 Since plant development is temperature-dependent, phenological events of plants can also be used to track degree-days… and predict pest development.

18 Phenology: The study of recurring biological events. “The oldest science.”

19 Hypothesis: the flowering sequence of ornamental plants can be used as a biological calendar to predict pest activity and schedule pest management appointments.

20 The hypothesis was tested in Secrest Arboretum by monitoring over the past 7 years: 1.The phenology of 45 key arthropod pests of ornamental plants (e.g. egg hatch, adult emergence). 2. The flowering sequence of 75 taxa of woody ornamental plants.

21 First bloom: date first flower on the plant opens to reveal pistils and / or stamens. Full bloom: date 95% of flowers have opened (e.g. 1 out of 20 buds remains closed). Key Phenological Events

22 The flowering sequence of plants can be used as a biological calendar to track degree-days and schedule pest management appointments. S. Gage, Michigan State Univ. D.G. Nielsen, Ohio State Univ.

23 Phenological Sequence for Secrest Arboretum Species Event Degree-Days Red Maplefirst bloom 45 Eastern Tent Caterpillaregg hatch 92 Eastern Redbudfirst bloom197 Gypsy Mothegg hatch203 Snowdrift Crabapplefirst bloom214 Birch Leafmineradult emergence231 Common Lilacfirst bloom238 Pine Needle Scaleegg hatch301 Vanhoutte Spireafirst bloom309 Lilac Boreradult emergence336 Black Cherryfirst bloom376 Euonymus Scaleegg hatch463 Black Locustfirst bloom503 Bronze Birch Boreradult emergence519 Mountain-laurelfirst bloom565 Juniper Scaleegg hatch579 Littleleaf Lindenfirst bloom878 Japanese Beetleadult emergence966

24 Red maple, Acer rubrum

25 Corneliancherry Dogwood, Cornus mas

26 Star Magnolia, Magnolia stellata Border Forsythia, Forsythia x intermedia

27 Eastern tent caterpillar egg hatch

28 Saucer Magnolia, Magnolia soulangiana Bradford Callery Pear, Pyrus calleryana ‘Bradford’

29 European pine sawfly egg hatch

30 PJM Rhododendron, Rhododendron x ‘PJM’ Serviceberry, Amelanchier grandiflora

31 Spruce spider mite egg hatch

32 Redbud, Cercis canadensis

33 Gypsy moth egg hatch

34 Crabapple, Malus spp.

35 Common lilac, Syringa vulgaris

36 Pine needle scale egg hatch

37 When red buckeye (Aesculus pavia) blooms: Hummingbirds return

38 Black cherry, Prunus serotina

39 Optimal timing for aerial Bt applications for gypsy moth

40 Miss Kim Lilac, Syringa patula ‘ Miss Kim’

41 Oystershell scale egg hatch

42 Black locust, Robinia pseudoacacia

43 Bronze birch borer adult emergence

44 Littleleaf Linden, Tilia cordata

45 Egg hatch of soft scales

46 Key premise: phenological sequence remains constant from year-to-year.



49 How accurate is a biological calendar developed in one region when it is used in another? We’ll soon find out.

50 The OSU Phenology Garden Network Coordinators: Denise Ellsworth Summit County Extension Dan Herms OARDC

51 The concept: a state-wide network of identical gardens to quantify geographic patterns of phenological and climatic variation across Ohio.

52 Objective: create a standardized biological calendar Research: document short-term phenological and weather variation; long-term climate change. Outreach: predict pest emergence / fine-tune timing recommendations. Science Literacy: increase public awareness / involvement with “the world’s oldest science”. Education: provide infrastructure for experimentation and demonstration projects.

53 The Biological Calendar Species First Bloom (DD50) Star Magnolia 83 Forsythia 86 PJM Rhododendron 147 Koreanspice Viburnum 185 Coralburst Crabapple 217 Common Lilac 234 Vanhoutte Spirea 309 Redosier Dogwood 326 Miss Kim Lilac 423 Bush Cinquefoil 445 Red Prince Weigela 446 Arrowwood Viburnum 534 Bumald Spirea 624 Elderberry 707 Oakleaf Hydrangea 835 Rose-of-Sharon1347

54 Additional applications: Butterfly garden and phenology (when do monarchs return?) Bird / wildflower / mushroom phenology (when should I look for trilliums; hunt for morels?) Weed phenology (forsythia and crabgrass?) Frost-free dates (Vanhoutte Spirea?) Planting dates (forsythia and radish; lilac and beans?) Plant propagation (when to take cuttings?) Others?

55 Protocols: 1. Monitor plants regularly to record date of first and full (95%) bloom, and number of cumulative degree-days. 2. Enter data promptly at website. 3. Record and share your experiences. 4. Be creative. 5. Have fun!

56 Cooperating Nurseries: Cottage Gardens Herman Losely & Son Klyn Nurseries Roemer Nursery Studebaker Nurseries Sunleaf Nursery Willoway Nurseries

57 The National Phenology Network Coordinator: Dr. Mark Schwartz University of Wisconsin Milwaukee

58 Facilitate collection and dissemination of plant phenological data across the US Support research on interactions between plants and lower atmosphere, and long- term impacts of climate change. National Phenology Network Mission

59 NPN: Lilac Observations Syringa chinensis 'Red Rothomagensis'

60 Lilac Phenological Observations: 1. First leaf 2. 95% leaf 3. First bloom 4. Full bloom 5. End bloom









69 First Leaf widest part of leaf past tips of brown bud scales Full Leaf 95% of buds open

70 First Bloom at least 50% of flower clusters on the plant have at least one open bud at least 50% of flower clusters have all buds open Full Bloom

71 End of Bloom 95% of flowers have withered or dried and floral display has ended.

72 End of Talk 95% of attention spans have withered or dried and PowerPoint display has ended.


Download ppt "Biological Calendars: Using Degree-Days and Plant Phenology to Predict Pest Activity Dan Herms Department of Entomology The Ohio State University Ohio."

Similar presentations

Ads by Google