Donnelly, Alison (2024): Temperate deciduous shrub and tree In situ spring phenology 2017, 2018, 2020, 2021. Downer Woods, Milwaukee, Wisconsin, USA [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.967456
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Published: 2024-06-03 • DOI registered: 2024-06-03
Abstract:
This data set includes in situ observations (Day of year) of a range of spring (budburst, leaf-out and full leaf unfolded) and autumn (leaf color and leaf fall) phenology (2017-2021) of a range of co-occurring species of tree (Fraxinus spp. (ash), Tilia americana (American-basswood), Quercus rubra (red-oak), Quercus alba (white-oak) and Acer negundo (boxelder)) and shrub (Native species: Prunus virginiana (chokecherry), Cornus alternifolia (pagoda-dogwood), Viburnum lentago (nannyberry), Ribes americanum (American-wild-currant) and Euonymus atropurpureus (Eastern wahoo) and Non-native species: Rhamnus cathartica (buckthorn), Lonicera morrowii (honeysuckle), Ligustrum vulgare (European-privet) and Viburnum opulus (European-highbush-cranberry)) in an urban woodland fragment in Wisconsin, USA. Spring data span 2017, 2018, 2020 and 2021 whereas autumn data span 2018-2021. The reason data for spring 2019 are omitted is due to observer error which resulted in a number of inconsistencies so the entire season has been omitted.
Keyword(s):
Related to:
Donnelly, Alison; Yu, Rong; Rehberg, Chloe; Schwartz, Mark D (2024): Characterizing spring phenology in a temperate deciduous urban woodland fragment: trees and shrubs. International Journal of Biometeorology, https://doi.org/10.1007/s00484-024-02632-6
Donnelly, Alison; Yu, Rong; Rehberg, Chloe; Schwartz, Mark D (2024): Variation in the timing and duration of autumn leaf phenology among temperate deciduous trees, native shrubs and non-native shrubs. International Journal of Biometeorology, https://doi.org/10.1007/s00484-024-02693-7
Coverage:
Latitude: 43.080986 * Longitude: -87.881090
Event(s):
Comment:
Project:
Determining the contribution of the shrub layer to overall forest phenology using in situ observations and remote sensing, Web: University of Wisconsin-Milwaukee, Award: Research Growth Initiative 101x368
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Year of observation | Year obs | a AD | Donnelly, Alison | ||
2 | Species, common name | Species common | Donnelly, Alison | Forest observation (FORESTOBS) | ||
3 | Species | Species | Donnelly, Alison | Forest observation (FORESTOBS) | ||
4 | Vegetation category | Veg cat | Donnelly, Alison | Forest observation (FORESTOBS) | Species category as either shrub or tree | |
5 | Description | Description | Donnelly, Alison | |||
6 | Plot | Plot | Donnelly, Alison | |||
7 | Number | No | Donnelly, Alison | Plant number = the study area consisted of 56 tree plots with 4 trees at each. Only a subset of trees were monitored. The shrubs were scattered throughout the woodland and not on the same grid system as the trees. | ||
8 | Budburst, start, day of the year | Budburst start DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | <10% of buds with scales parted and tiny amount of leaf tip visible. |
9 | Budburst, end, day of the year | Budburst end DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | <10% of buds with scales parted and tiny amount of leaf tip visible. |
10 | Leaf-out, start, day of the year | Leaf-out start DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | <10% of buds with obvious leaf tips emerging from bud. |
11 | Leaf-out, end, day of the year | Leaf-out end DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | >90% of buds with obvious leaf tips emerging from bud. |
12 | Full-leaf out, start, day of the year | Full-leaf out start DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | <10% of leaves emerged and petiole clearly visible. |
13 | Full-leaf out, end, day of the year | Full-leaf out end DOY | day | Donnelly, Alison | Forest observation (FORESTOBS) | >90% of leaves emerged and petiole clearly visible. |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
4079 data points
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