Identifying climate‐resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change. Issue 5 (4th October 2021)
- Record Type:
- Journal Article
- Title:
- Identifying climate‐resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change. Issue 5 (4th October 2021)
- Main Title:
- Identifying climate‐resistant vernal pools: Hydrologic refugia for amphibian reproduction under droughts and climate change
- Authors:
- Cartwright, Jennifer
Morelli, Toni Lyn
Grant, Evan H. Campbell - Other Names:
- Klaus Julian guestEditor.
Monk Wendy A. guestEditor.
Zhang Lu guestEditor.
Hannah David M. guestEditor. - Abstract:
- Abstract: Vernal pools of the northeastern United States provide important breeding habitat for amphibians but may be sensitive to droughts and climate change. These seasonal wetlands typically fill by early spring and dry by mid‐to‐late summer. Because climate change may produce earlier and stronger growing‐season evapotranspiration combined with increasing droughts and shifts in precipitation timing, management concerns include the possibility that some pools will increasingly become dry earlier in the year, potentially interfering with amphibian life‐cycle completion. In this context, a subset of pools that continues to provide wetland habitat later into the year under relatively dry conditions might function as ecohydrologic refugia, potentially supporting species persistence even as summer conditions become warmer and droughts more frequent. We used approximately 3000 field observations of inundation from 449 pools to train machine‐learning models that predict the likelihood of pool inundation based on pool size, day of the year, climate conditions, short‐term weather patterns, and soil, geologic and landcover attributes. Models were then used to generate predictions of pool wetness across five seasonal time points, three short‐term weather scenarios and four sets of downscaled climate projections. Model outputs are available through a website allowing users to choose the inundation thresholds, time points, weather scenarios and future climate projections most relevantAbstract: Vernal pools of the northeastern United States provide important breeding habitat for amphibians but may be sensitive to droughts and climate change. These seasonal wetlands typically fill by early spring and dry by mid‐to‐late summer. Because climate change may produce earlier and stronger growing‐season evapotranspiration combined with increasing droughts and shifts in precipitation timing, management concerns include the possibility that some pools will increasingly become dry earlier in the year, potentially interfering with amphibian life‐cycle completion. In this context, a subset of pools that continues to provide wetland habitat later into the year under relatively dry conditions might function as ecohydrologic refugia, potentially supporting species persistence even as summer conditions become warmer and droughts more frequent. We used approximately 3000 field observations of inundation from 449 pools to train machine‐learning models that predict the likelihood of pool inundation based on pool size, day of the year, climate conditions, short‐term weather patterns, and soil, geologic and landcover attributes. Models were then used to generate predictions of pool wetness across five seasonal time points, three short‐term weather scenarios and four sets of downscaled climate projections. Model outputs are available through a website allowing users to choose the inundation thresholds, time points, weather scenarios and future climate projections most relevant to their management needs. Together with long‐term monitoring of individual pools at the site scale, this regional‐scale study can support amphibian conservation by helping to identify which pools may be most likely to function as ecohydrologic refugia from droughts and climate change. … (more)
- Is Part Of:
- Ecohydrology. Volume 15:Issue 5(2022)
- Journal:
- Ecohydrology
- Issue:
- Volume 15:Issue 5(2022)
- Issue Display:
- Volume 15, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 15
- Issue:
- 5
- Issue Sort Value:
- 2022-0015-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-10-04
- Subjects:
- amphibians -- climate change -- drought -- machine learning -- refugia -- vernal pools
Ecohydrology -- Periodicals
Hydrology -- Periodicals
Water -- Environmental aspects -- Periodicals
577.6 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1936-0592 ↗
http://www3.interscience.wiley.com/cgi-bin/jhome/114209870 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/eco.2354 ↗
- Languages:
- English
- ISSNs:
- 1936-0584
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.627375
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British Library HMNTS - ELD Digital store - Ingest File:
- 22757.xml