Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010
Abstract Berry‐producing shrubs are culturally, economically, and ecologically important for both people and animals in the Pacific Northwest of the United States. We examined huckleberry (Vaccinium membranaceum) and serviceberry (Amelanchier alnifolia) productivity across the Cabinet–Yaak grizzly b...
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| Format: | Article |
| Language: | English |
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Wiley
2012-06-01
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| Series: | Wildlife Society Bulletin |
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| Online Access: | https://doi.org/10.1002/wsb.128 |
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| author | Zachary A. Holden Wayne F. Kasworm Christopher Servheen Beth Hahn Solomon Dobrowski |
| author_facet | Zachary A. Holden Wayne F. Kasworm Christopher Servheen Beth Hahn Solomon Dobrowski |
| author_sort | Zachary A. Holden |
| collection | DOAJ |
| description | Abstract Berry‐producing shrubs are culturally, economically, and ecologically important for both people and animals in the Pacific Northwest of the United States. We examined huckleberry (Vaccinium membranaceum) and serviceberry (Amelanchier alnifolia) productivity across the Cabinet–Yaak grizzly bear recovery zone in Northern Idaho and Western Montana. An index of annual berry productivity was measured at field plots from 1989 to 2010. Temperature, precipitation, and snow indices were derived from nearby Snowpack Telemetry (SNOTEL) stations. Huckleberry production was highest during cool springs with high July diurnal temperature ranges. April–June growing‐degree days and July temperature range explain 70% of the inter‐annual variability in huckleberry productivity. Serviceberry production was correlated with maximum snow‐water equivalent and April–June growing‐degree days, which explained 86% of the variance in annual serviceberry production. These models show potential to forecast annual berry production and to anticipate potential bear–human interactions. Further development of models is essential to better predict the potential changes in important wildlife resources in the context of climate change. Published 2012. This article is a U.S. Government work and is in the public domain in the USA. |
| format | Article |
| id | doaj-art-dee4640bc5fd4babab090087bbe5d5b7 |
| institution | OA Journals |
| issn | 2328-5540 |
| language | English |
| publishDate | 2012-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wildlife Society Bulletin |
| spelling | doaj-art-dee4640bc5fd4babab090087bbe5d5b72025-08-20T01:56:32ZengWileyWildlife Society Bulletin2328-55402012-06-0136222623110.1002/wsb.128Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010Zachary A. Holden0Wayne F. Kasworm1Christopher Servheen2Beth Hahn3Solomon Dobrowski4United States Department of Agriculture Forest Service, 200 E Broadway Street, Missoula, MT 59807, USAUnited States Fish and Wildlife Service, 385 Fish Hatchery Road, Libby, MT 59923, USAUnited States Fish and Wildlife Service, University of Montana, University Hall Room 309, Missoula, MT 59812, USAUnited States Department of Agriculture Forest Service, 200 E Broadway Street, Missoula, MT 59807, USAUniversity of Montana College of Forestry and Conservation, 32 Campus Drive, Missoula, MT 59812, USAAbstract Berry‐producing shrubs are culturally, economically, and ecologically important for both people and animals in the Pacific Northwest of the United States. We examined huckleberry (Vaccinium membranaceum) and serviceberry (Amelanchier alnifolia) productivity across the Cabinet–Yaak grizzly bear recovery zone in Northern Idaho and Western Montana. An index of annual berry productivity was measured at field plots from 1989 to 2010. Temperature, precipitation, and snow indices were derived from nearby Snowpack Telemetry (SNOTEL) stations. Huckleberry production was highest during cool springs with high July diurnal temperature ranges. April–June growing‐degree days and July temperature range explain 70% of the inter‐annual variability in huckleberry productivity. Serviceberry production was correlated with maximum snow‐water equivalent and April–June growing‐degree days, which explained 86% of the variance in annual serviceberry production. These models show potential to forecast annual berry production and to anticipate potential bear–human interactions. Further development of models is essential to better predict the potential changes in important wildlife resources in the context of climate change. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.https://doi.org/10.1002/wsb.128climate changegrizzly bearhuckleberrysnowmelttemperature rangevapor pressure deficit |
| spellingShingle | Zachary A. Holden Wayne F. Kasworm Christopher Servheen Beth Hahn Solomon Dobrowski Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 Wildlife Society Bulletin climate change grizzly bear huckleberry snowmelt temperature range vapor pressure deficit |
| title | Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 |
| title_full | Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 |
| title_fullStr | Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 |
| title_full_unstemmed | Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 |
| title_short | Sensitivity of berry productivity to climatic variation in the Cabinet–Yaak grizzly bear recovery zone, Northwest United States, 1989–2010 |
| title_sort | sensitivity of berry productivity to climatic variation in the cabinet yaak grizzly bear recovery zone northwest united states 1989 2010 |
| topic | climate change grizzly bear huckleberry snowmelt temperature range vapor pressure deficit |
| url | https://doi.org/10.1002/wsb.128 |
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