Non-Destructive Lichen Biomass Estimation in Northwestern Alaska: A Comparison of Methods

被引:9
|
作者
Rosso, Abbey [1 ]
Neitlich, Peter [1 ]
Smith, Robert J. [2 ]
机构
[1] Natl Pk Serv, Winthrop, WA 98862 USA
[2] Oregon State Univ, Dept Bot & Plant Pathol, Corvallis, OR 97331 USA
来源
PLOS ONE | 2014年 / 9卷 / 07期
关键词
MACROLICHEN COMMUNITIES; ABUNDANCE; CARIBOU; BRYOPHYTES; VEGETATION;
D O I
10.1371/journal.pone.0103739
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Terrestrial lichen biomass is an important indicator of forage availability for caribou in northern regions, and can indicate vegetation shifts due to climate change, air pollution or changes in vascular plant community structure. Techniques for estimating lichen biomass have traditionally required destructive harvesting that is painstaking and impractical, so we developed models to estimate biomass from relatively simple cover and height measurements. We measured cover and height of forage lichens (including single-taxon and multi-taxa "community" samples, n = 144) at 73 sites on the Seward Peninsula of northwestern Alaska, and harvested lichen biomass from the same plots. We assessed biomass-to-volume relationships using zero-intercept regressions, and compared differences among two non-destructive cover estimation methods (ocular vs. point count), among four landcover types in two ecoregions, and among single-taxon vs. multi-taxa samples. Additionally, we explored the feasibility of using lichen height (instead of volume) as a predictor of stand-level biomass. Although lichen taxa exhibited unique biomass and bulk density responses that varied significantly by growth form, we found that single-taxon sampling consistently under-estimated true biomass and was constrained by the need for taxonomic experts. We also found that the point count method provided little to no improvement over ocular methods, despite increased effort. Estimated biomass of lichen-dominated communities (mean lichen cover: 84.9 +/- 1.4%) using multi-taxa, ocular methods differed only nominally among landcover types within ecoregions (range: 822 to 1418 g m(-2)). Height alone was a poor predictor of lichen biomass and should always be weighted by cover abundance. We conclude that the multi-taxa (whole-community) approach, when paired with ocular estimates, is the most reasonable and practical method for estimating lichen biomass at landscape scales in northwest Alaska.
引用
收藏
页数:10
相关论文
共 50 条
  • [11] Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR
    Stovall, Atticus E. L.
    Vorster, Anthony G.
    Anderson, Ryan S.
    Evangelista, Paul H.
    Shugart, Herman H.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2017, 200 : 31 - 42
  • [12] A software tool for standardised non-destructive biomass estimation in short rotation forestry
    Telenius, BF
    [J]. BIORESOURCE TECHNOLOGY, 1997, 60 (03) : 267 - 268
  • [13] Non-destructive estimation of tree biomass by using wood specific gravity in the estimator
    Chaturvedi, R. K.
    Raghubanshi, A. S.
    Singh, J. S.
    [J]. NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2010, 33 (5-6): : 133 - 138
  • [14] The measurement of current distribution in superconducting tape.: Comparison of destructive and non-destructive methods
    Usák, P
    [J]. PHYSICA C-SUPERCONDUCTIVITY AND ITS APPLICATIONS, 2003, 384 (1-2): : 93 - 101
  • [15] NON-DESTRUCTIVE METHODS FOR ESTIMATION OF FLOWER INITIATION IN SUBTERRANEAN CLOVER AND CEREALS
    AITKEN, Y
    [J]. JOURNAL OF THE AUSTRALIAN INSTITUTE OF AGRICULTURAL SCIENCE, 1971, 37 (01): : 57 - &
  • [16] Comparing the accuracy of three non-destructive methods in estimating aboveground plant biomass
    Onodi, G.
    Kroeel-Dulay, Gy.
    Kovacs-Lang, E.
    Odor, P.
    Botta-Dukat, Z.
    Lhotsky, B.
    Barabas, S.
    Garadnai, J.
    Kertesz, M.
    [J]. COMMUNITY ECOLOGY, 2017, 18 (01) : 56 - 62
  • [17] Comparing the accuracy of three non-destructive methods in estimating aboveground plant biomass
    G. Ónodi
    Gy. Kröel-Dulay
    E. Kovács-Láng
    P. Ódor
    Z. Botta-Dukat
    B. Lhotsky
    S. Barabás
    J. Garadnai
    M. Kertész
    [J]. Community Ecology, 2017, 18 : 56 - 62
  • [18] Estimation of spatial variability in pearl millet growth with non-destructive methods
    Gérard, B
    Buerkert, A
    [J]. EXPERIMENTAL AGRICULTURE, 2001, 37 (03) : 373 - 389
  • [19] NON-DESTRUCTIVE SAMPLING FOR YIELD ESTIMATION
    李坚
    [J]. Journal of Forestry Research, 1994, (03) : 42 - 48
  • [20] Determination of concrete quality with destructive and non-destructive methods
    Kibar, Hakan
    Ozturk, Turgut
    [J]. COMPUTERS AND CONCRETE, 2015, 15 (03): : 473 - 484