Temporally robust models for predicting seed yield of moist‐soil plants
ABSTRACT Rapid assessment of food production and subsequent availability is fundamental to evaluating wetland management practices and general habitat quality for waterfowl. Traditional methods of estimating food biomass (e.g., plot and core sampling) require considerable time, expertise, and cost....
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| Format: | Article |
| Language: | English |
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Wiley
2017-03-01
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| Series: | Wildlife Society Bulletin |
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| Online Access: | https://doi.org/10.1002/wsb.735 |
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| author | Joshua M. Osborn Heath M. Hagy Matthew D. McClanahan Matthew J. Gray |
| author_facet | Joshua M. Osborn Heath M. Hagy Matthew D. McClanahan Matthew J. Gray |
| author_sort | Joshua M. Osborn |
| collection | DOAJ |
| description | ABSTRACT Rapid assessment of food production and subsequent availability is fundamental to evaluating wetland management practices and general habitat quality for waterfowl. Traditional methods of estimating food biomass (e.g., plot and core sampling) require considerable time, expertise, and cost. Rapid assessment models using plant measurements or scanned seed‐head area have recently been adapted to predict seed production in moist‐soil wetlands. We evaluated existing models of seed production and estimated benthic seed density with data collected during autumn 2011 in western Tennessee, USA, to improve prediction capability of seed availability for waterfowl. Generally, all models explained significant variation (r2 = 0.85–0.98) and accurately predicted seed production in moist‐soil plants (r2 = 0.84–0.97). Belowground proportions of seed biomass and duck energy days differed across species relative to previously reported biomass estimates in moist‐soil wetlands (x¯ = 0.4–9.1%); thus, production estimates from models should be adjusted on a species‐specific basis and the effect of belowground seeds on overall energetic carrying capacity estimates will vary with species composition of wetlands. We recommend use of updated most‐soil rapid‐assessment models incorporating seed bank estimates to predict waterfowl food availability and evaluate management practices. © 2017 The Wildlife Society. |
| format | Article |
| id | doaj-art-8a166a03d8c14b4e9d6bab444fe95320 |
| institution | DOAJ |
| issn | 2328-5540 |
| language | English |
| publishDate | 2017-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wildlife Society Bulletin |
| spelling | doaj-art-8a166a03d8c14b4e9d6bab444fe953202025-08-20T02:49:15ZengWileyWildlife Society Bulletin2328-55402017-03-0141115716110.1002/wsb.735Temporally robust models for predicting seed yield of moist‐soil plantsJoshua M. Osborn0Heath M. Hagy1Matthew D. McClanahan2Matthew J. Gray3Illinois Natural History SurveyForbes Biological Station−Bellrose Waterfowl Research CenterUniversity of Illinois at Urbana−ChampaignP.O. Box 590HavanaIL62644USAIllinois Natural History SurveyForbes Biological Station−Bellrose Waterfowl Research CenterUniversity of Illinois at Urbana−ChampaignP.O. Box 590HavanaIL62644USAConservation Districts of IowaLe MarsIA51031USADepartment of Forestry, Wildlife, and FisheriesUniversity of TennesseeKnoxvilleTN37996USAABSTRACT Rapid assessment of food production and subsequent availability is fundamental to evaluating wetland management practices and general habitat quality for waterfowl. Traditional methods of estimating food biomass (e.g., plot and core sampling) require considerable time, expertise, and cost. Rapid assessment models using plant measurements or scanned seed‐head area have recently been adapted to predict seed production in moist‐soil wetlands. We evaluated existing models of seed production and estimated benthic seed density with data collected during autumn 2011 in western Tennessee, USA, to improve prediction capability of seed availability for waterfowl. Generally, all models explained significant variation (r2 = 0.85–0.98) and accurately predicted seed production in moist‐soil plants (r2 = 0.84–0.97). Belowground proportions of seed biomass and duck energy days differed across species relative to previously reported biomass estimates in moist‐soil wetlands (x¯ = 0.4–9.1%); thus, production estimates from models should be adjusted on a species‐specific basis and the effect of belowground seeds on overall energetic carrying capacity estimates will vary with species composition of wetlands. We recommend use of updated most‐soil rapid‐assessment models incorporating seed bank estimates to predict waterfowl food availability and evaluate management practices. © 2017 The Wildlife Society.https://doi.org/10.1002/wsb.735carrying capacitydabbling duckTennessee National Wildlife Refugewaterfowlwetlands |
| spellingShingle | Joshua M. Osborn Heath M. Hagy Matthew D. McClanahan Matthew J. Gray Temporally robust models for predicting seed yield of moist‐soil plants Wildlife Society Bulletin carrying capacity dabbling duck Tennessee National Wildlife Refuge waterfowl wetlands |
| title | Temporally robust models for predicting seed yield of moist‐soil plants |
| title_full | Temporally robust models for predicting seed yield of moist‐soil plants |
| title_fullStr | Temporally robust models for predicting seed yield of moist‐soil plants |
| title_full_unstemmed | Temporally robust models for predicting seed yield of moist‐soil plants |
| title_short | Temporally robust models for predicting seed yield of moist‐soil plants |
| title_sort | temporally robust models for predicting seed yield of moist soil plants |
| topic | carrying capacity dabbling duck Tennessee National Wildlife Refuge waterfowl wetlands |
| url | https://doi.org/10.1002/wsb.735 |
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