2013-06-30 NRMI: NATURAL RESOURCE MONITORING ITEMS OF INTEREST
This Issue: Small Biomass Green Weight Conversion to Dry Weight and Some Other Good Things
BUT FIRST WON’T YOU PLEASE HELP? Inventorying stands during a project analysis – Davis Mounger is seeking Any directives, cases, etc. about FS (US Forest Service) needs to update and ground truth stands in analysis before an EA (Environmental Analysis). He also needs anything about projects as time for updating forest inventory. Davis is m pretty sure there's some language in the FSM (Forest Service Manual) on this, but he cannot find it. He writes, mistakes in forest type, BA (basal area) age are all common down here. If you can assist, please contact Davis at email@example.com
SMALL BIOMASS GREEN WEIGHT TO DRY WEIGHT CONVERSION – Last February, Shiva Shankar Pandey wrote, I am wondering to find conversion factors to estimate dry biomass from the fresh Biomass of the trees (less than 5 cm Diameter at breast height). If you have idea and information about research reports, articles, thesis related to some regression models or conversion factors applicable to the mixed species forest stand of Nepal, please kindly inform me. Here are some sites that may be of interest. If you know of others, please contact Shiva at firstname.lastname@example.org
AFC. N.,d, How much carbon have your trees stored? Alabama Forestry Commission.
Baumgras, John E. 1980. Biomass Yields from Allegheny Hardwood Thinning. Forest Service Research Paper NE-466. 10 p.
Bédard, J.; Lapointe, G. 1987. The estimation of dry green biomass in hayfields from canopy spectroreflectance measurements. Grass and Forage Science, 42: 73–78. Abstract.
Biomass/Production. 5 p.
Brown, Sandra. 1997. Estimating Biomass and Biomass Change of Tropical Forests: a Primer. .FAO Forestry Paper – 134.
Chojnacky, David C.; Jenkins, Jennifer. 2010. Literature synthesis and meta-analysis of tree and shrub biomass equations in North America. Final Report: JFSP Project No. 07-3-1-05. 23 p.
Clark, Joshua; Murphy, Glen. 2011. Estimating forest biomass components with hemispherical photography for Douglas-fir stands in northwest Oregon. Canadian Journal of Forest Research, 41(5): 1060-1074. Abstract
Deo, Ram Kumar. 2008. Modelling and Mapping of above-ground Biomass and Carbon Sequestration in the Cool Temperate Forest of North-east China. Thesis. 88 p.
Eckert, Sandra. 2012. Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data. Remote Sens. 2012, 4, 810-829.
Franks. C.D.1998? Above-Ground Biomass (Plant) Determinations. USDA NRCS. 2 p.
Heath, Linda S. et al. 2009. Investigation into Calculating Tree Biomass and Carbon in the FIADB Using a Biomass Expansion Factor Approach. In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. 2009. 2008 Forest Inventory and Analysis (FIA) Symposium; October 21-23, 2008: Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station.
Jenkins, Jennifer C. et al. 2004. Comprehensive Database of Diameter-based Biomass Regressions for North American Tree Species. USDA Forest Service, Gen Tech. Report. NE-319. 48 p.
Kale, M.P. 2002. Biomass and productivity estimation using aerospace data and Geographic Information System. Tropical Ecology 43(1): 123-136.
Lopes, Domingos et al. 2005? The Adjustment of Global and Partial Dry Biomass Models for Pinus pinaster in the North-East of Portugal. 7 p.
Mani, S.; Parthasarathy, N. 2009. Tree population and above-ground biomass changes in two disturbed tropical dry evergreen forests of peninsular India. Tropical Ecology 50(2): 249-258.
Namayanga, Lemmy Nenge. 2002. Estimating terrestrial carbon sequestered in aboveground woody biomass from remotely sensed data Thesis. 64 p.
Peper, Paula J.; McPherson, E. Gregory. 1998. Comparision of four foliar and woody biomass estimation methods applied to open-grown deciduous trees. Journal of Arboriculture 24(4): 191-200.
Rosillo-Calle, Frank; Woods, Jeremy. 2012. The Biomass Assessment Handbook. Earthscan. 296 p. Abstract.
Roy, P.S.; Ravan, Shirish A.1996. Biomass estimation using satellite remote sensing data—An investigation on possible approaches for natural forest. J. Biosci.21(4): 535-561.
Schubert, Thomas H. 1988. Equations for predicting biomass of six introduced subtropical tree species, Island of Hawaii. 6 p. Abstract.
UIdaho. 1987? Measuring Rangeland Production. 12 p.
VanderSchaaf, Curtis L.; Barber, Brad L. 2010. Spatially Quantifying Woody Biomass in Central and West Texas. Texas Forest Service. 12 p.
Vieilledent, Ghislain et al.2011. A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models. Article for Ecological Applications. 48 p.
Waller, S.S. et al. 1981. Factors Involved in Estimating Green Biomass by Canopy Spectroreflectance Measurements. Journal of Range Management 34(2): 105-08.
Zhang, Xiaoyang; Kondraguta, Shobha. 2006. Estimating forest biomass in the USA using generalized allometric models and MODIS land products. Geophysical Research Letters, Vol. 33. 5 p.
SOME OTHER PUBLICATIONS/URLS OF INTEREST
Geenberg, J.A. et al. 2009. Limitations on maximum tree density using hyperspatial remote sensing and environmental gradient analysis. Remote Sensing of Environment 113: 94-101
Hauglin, Marius et al. 2013. Estimating single-tree branch biomass of Norway spruce by airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing 79: 147-156, Abstract.
Hayashi, Masato et al. 2013.Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan. ISPRS Journal of Photogrammetry and Remote Sensing 81: 12-18. Abstract.
Hebel, I., et al. 2012. Early knowledge of Antarctica's vegetation: expanding past and current evidence. Rev. Chil. Hist. Nat. 85(4):409-418.
Huang, Shengli, et al. 2013. Reconstructing satellite images to quantify spatially explicit land surface change caused by fires and succession: A demonstration in the Yukon River Basin of interior Alaska. ISPRS Journal of Photogrammetry and Remote Sensing 79:94-105. Abstract.
Hulme, M.F., et al. 2013. Conserving the birds of Uganda's banana-coffee arc: land sparing and land sharing compared. PLoS ONE 8(2):e54597.
Hussain, Masroor et al. 2013. Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS Journal of Photogrammetry and Remote Sensing 80: 91-106. Abstract.
Jones JE, et al. 2012.Avian Species Richness in Relation to Intensive Forest Management Practices in Early Seral Tree Plantations. PLoS ONE 7(8): e43290. doi:10.1371/journal.pone.0043290
Jung, Jaehoon et al. 2013. Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm . ISPRS Journal of Photogrammetry and Remote Sensing 81: 82-92. Abstract.
Kane, Van R. et al. 2008. Interpretation and topographic compensation of conifer canopy self-shadowing. Remote Sensing of Environment 112: 3820–3832
Legault, A., et al. 2013. Standardising distance sampling surveys of parrots in New Caledonia. J. Ornithol. 154(1):19-33.
Loss, S.R., et al.. 2013. The impact of free-ranging domestic cats on wildlife of the United States. Nat. Commun. 4:1396. Abstract.
Loyd, Charie. 2012. Putting Landsat 8’s Bands to Work. Map Box. From Artur Gil, Applied GIS RS List.
Loyola, R.D., et al. 2013. A straightforward conceptual approach for evaluating spatial conservation priorities under climate change. Biodivers. Conserv. 22(2):483-495. Page 1.
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-- H. Gyde Lund Forest Information Services 6238 Settlers Trail Place Gainesville, VA 20155-1374 USA Tel: +1-703-743-1755 Email: gyde<at>comcast.net URL: http://www.forestinfoservices.com CV: http://home.comcast.net/~gyde/cv.html. Publications: http://home.comcast.net/~gyde/lundpub.htm. Skype: forestgyde