机构:
Univ Utah, Dept Geog, Salt Lake City, UT USAUniv Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland
Macharia, Anthony N.
[2
]
Brunelle, Andrea
论文数: 0引用数: 0
h-index: 0
机构:
Univ Utah, Dept Geog, Salt Lake City, UT USAUniv Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland
Brunelle, Andrea
[2
]
Hebertson, Elizabeth G.
论文数: 0引用数: 0
h-index: 0
机构:
USDA, Forest Serv, Forest Hlth Protect Ogden Field Off, Ogden, UT 84403 USAUniv Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland
Hebertson, Elizabeth G.
[3
]
Lundeen, Zachary J.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Utah, Dept Geog, Salt Lake City, UT USA
Univ Utah, Rio Mesa Ctr, Salt Lake City, UT 84112 USAUniv Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland
Lundeen, Zachary J.
[2
,4
]
机构:
[1] Univ Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland
[2] Univ Utah, Dept Geog, Salt Lake City, UT USA
[3] USDA, Forest Serv, Forest Hlth Protect Ogden Field Off, Ogden, UT 84403 USA
[4] Univ Utah, Rio Mesa Ctr, Salt Lake City, UT 84112 USA
Recent outbreaks of native bark beetles are unprecedented during the historical period. The aim of this manuscript is to develop a proxy-based methodology to infer past bark beetle outbreaks using lake sediments to provide long-term context for recent outbreaks. We test three hypotheses to determine how the ecological impacts of severe spruce beetle (Dendroctonus rufipennis Kirby) disturbances are recorded in lake sediment deposits. The resulting mortality and defoliation of Engelmann spruce is hypothesized to: (1) decrease the ratio of spruce to fir pollen; (2) reduce canopy interception of precipitation leading to an increase in soil erosion and/or enhanced mobilization of terrestrial carbon; and (3) leach foliar nitrogen and enhance algal productivity resulting in increased nitrogen values in lake sediments. To test these hypotheses, we analyzed sediment cores from six spruce beetle-affected basins in Utah for spruce/fir pollen ratio (hypothesis 1), loss-on-ignition, magnetic susceptibility of sediments (hypothesis 2), and 8(13)C(BOM), 8(15)N(TN), elemental C and N, and the C/N ratio of bulk organic material (hypotheses 2 and 3). The dataset was statistically tested using general linear mixed models (GLMMs) to determine if the response variables differed significantly between outbreak and non-outbreak period. The spruce/fir pollen ratio responded significantly to outbreaks at all sites suggesting that this metric may be the most suitable for identifying past spruce beetle outbreaks. For our second hypothesis we found little support for an influx of terrestrial C due to strongly individualist responses of the basins. For our third hypotheses we found little support for increased sedimentary nitrogen, likely due to alterations to nutrient cycling from human activities. Therefore the host/non-host pollen ratio provides the most promising metric for detecting past outbreaks. (C) 2012 Elsevier B.V. All rights reserved.