# Giralia Bay, Western Australia 90 Year Mangrove Wood Density Data #----------------------------------------------------------------------- # World Data Center for Paleoclimatology, Boulder # and # NOAA Paleoclimatology Program #----------------------------------------------------------------------- # NOTE: Please cite Publication, and Online_Resource and date accessed when using these data. # If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed. # # # Online_Resource: http://hurricane.ncdc.noaa.gov/pls/paleox/f?p=519:1:::::P1_STUDY_ID:14608 # # Original_Source_URL: ftp://ftp.ncdc.noaa.gov/pub/data/paleo/treering/measurements/australia/giralia4age.txt # # Description/Documentation lines begin with # # Data lines have no # # # Archive: Tree Rings #-------------------- # Contribution_Date # Date: 2013-06-22 #-------------------- # Title # Study_Name: Giralia Bay, Western Australia 90 Year Mangrove Wood Density Data #-------------------- # Investigators # Investigators: Santini, N.S.; Hua, Q.; Schmitz, N.; Lovelock, C.E. #-------------------- # Description_and_Notes # Description: Mangrove (Avicennia marina) wood density data from Giralia Bay, Exmouth Gulf, Western Australia. # Data are presented as 4 wood density (g/cm3) profiles per stem (stem 1, stem 2, stem 3, stem 4) and with x=distance # from pith (cm) and x=years (calendar year before 2008 AD determined by radiocarbon dating). #-------------------- # Publication # Authors: Nadia S. Santini, Quan Hua, Nele Schmitz, Catherine E. Lovelock # Published_Date_or_Year: 2013-11-12 # Published_Title: Radiocarbon Dating and Wood Density Chronologies of Mangrove Trees in Arid Western Australia # Journal_Name: PLOS One # Volume: 8 # Edition: e80116 # Issue: 11 # Pages: # DOI: 10.1371/journal.pone.0080116 # Online_Resource: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0080116 # Full_Citation: # Abstract: Mangrove trees tend to be larger and mangrove communities more diverse in tropical latitudes, particularly where there is high rainfall. Variation in the structure, growth and productivity of mangrove forests over climatic gradients suggests they are sensitive to variations in climate, but evidence of changes in the structure and growth of mangrove trees in response to climatic variation is scarce. Bomb-pulse radiocarbon dating provides accurate dates of recent wood formation and tree age of tropical and subtropical tree species. Here, we used radiocarbon techniques combined with X-ray densitometry to develop a wood density chronology for the mangrove Avicennia marina in the Exmouth Gulf, Western Australia (WA). We tested whether wood density chronologies of A. marina were sensitive to variation in the Pacific Decadal Oscillation Index, which reflects temperature fluctuations in the Pacific Ocean and is linked to the instrumental rainfall record in north WA. We also determined growth rates in mangrove trees from the Exmouth Gulf, WA. We found that seaward fringing A. marina trees (~10 cm diameter) were 48±1 to 89±23 years old (mean ± 1sigma) and that their growth rates ranged from 4.08±2.36 to 5.30±3.33 mm/yr (mean ±1sigma). The wood density of our studied mangrove trees decreased with increases in the Pacific Decadal Oscillation Index. Future predicted drying of the region will likely lead to further reductions in wood density and their associated growth rates in mangrove forests in the region. #------------------ # Funding_Agency # Funding_Agency_Name: Mexican Council of Science and Technology (CONACYT) # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: Mexican Secretary of Public Education (SEP) # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: Australian Institute of Nuclear Science and Engineering (AINSE) # Grant: 09047, 11114 #------------------ # Funding_Agency # Funding_Agency_Name: Australian Research Council (ARC) # Grant: DP1096749 #------------------ # Funding_Agency # Funding_Agency_Name: University of Queensland # Grant: #------------------ # Funding_Agency # Funding_Agency_Name: Research Foundation - Flanders (FWO) # Grant: #------------------ # Site_Information # Site_Name: Giralia Bay # Location: Australia/New Zealand>Australia # Country: Australia # Northernmost_Latitude: -22.45 # Southernmost_Latitude: -22.45 # Easternmost_Longitude: 114.3167 # Westernmost_Longitude: 114.3167 # Elevation: 0 m #------------------ # Data_Collection # Collection_Name: GiraliaStem4age # Earliest_Year: 1945 # Most_Recent_Year: 2008 # Time_Unit: AD # Core_Length: 0.051 m # Notes: #------------------ # Chronology: # # # # # # # # #---------------- # Variables # # Data variables follow (have no #) # Data line variables format: Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data) # Wood density profiles Giralia Bay Avicennia marina Stem 4 age_calBP2008 age, , , calendar years before 2008AD, , , , ,N dens Density, wood, , g/cm3, , , Profile 1, ,N dens Density, wood, , g/cm3, , , Profile 2, ,N dens Density, wood, , g/cm3, , , Profile 3, ,N dens Density, wood, , g/cm3, , , Profile 4, ,N #---------------- # Data: # Data lines follow (have no #) # Data line format - tab-delimited text, variable short name as header # Missing Values: age_calBP2008 dens dens dens dens 1 0.892986558 0.895079086 0.896129032 0.888830716 2 0.860304054 0.857407407 0.86664776 0.857407407 3 0.841818182 0.863220339 0.832643052 0.858370787 4 0.88728223 0.929945222 0.84089158 0.919314079 5 0.924319419 0.921531966 0.900884434 0.924319419 6 0.913815789 0.911091234 0.905690575 0.907843137 7 0.912724014 0.931646341 0.912724014 0.918761275 8 0.899293702 0.901415929 0.908382878 0.905690575 9 0.903548196 0.900353565 0.905690575 0.907304038 10 0.90408284 0.894555035 0.90408284 0.911634845 11 0.895603751 0.878103448 0.884713376 0.906765579 12 0.882159353 0.865665722 0.865665722 0.867139614 13 0.854530201 0.851197772 0.865665722 0.869607285 14 0.862732919 0.839044481 0.829929386 0.845545102 15 0.833097056 0.834918033 0.825445705 0.846013289 16 0.841354626 0.841354626 0.832189542 0.837205479 17 0.833551555 0.839967015 0.810987261 0.844610282 18 0.825891892 0.846481994 0.82101021 0.840429043 19 0.827233351 0.839967015 0.815750133 0.837205479 20 0.825891892 0.847420965 0.828579176 0.843211921 21 0.827233351 0.841354626 0.82056928 0.850250417 22 0.847420965 0.830380435 0.81141795 0.850250417 23 0.858853288 0.818371719 0.800366684 0.824554776 24 0.830380435 0.815750133 0.810557029 0.810557029 25 0.81488 0.823221983 0.833097056 0.797026604 26 0.789612403 0.810987261 0.817058824 0.801206083 27 0.754518519 0.803312303 0.773228745 0.754891304 28 0.755264459 0.784342916 0.756760773 0.751549434 29 0.728959924 0.755264459 0.70087156 0.743142023 30 0.739187228 0.751549434 0.739903148 0.734920635 31 0.72584323 0.752289513 0.711312849 0.739187228 32 0.734567308 0.769722922 0.722753075 0.76242515 33 0.725154248 0.758639523 0.714974263 0.732805755 34 0.759393638 0.748603626 0.733861671 0.740979631 35 0.701515152 0.726879163 0.681185912 0.739903148 36 0.719689119 0.781534527 0.713305322 0.740261628 37 0.724123223 0.769335347 0.708016682 0.720367751 38 0.709660938 0.749337911 0.717660874 0.744227959 39 0.715644028 0.759016393 0.707033781 0.760149254 40 0.71799812 0.71430575 0.709660938 0.747139364 41 0.699908383 0.749705594 0.696716826 0.768948163 42 0.720707547 0.742419825 0.708344924 0.71430575 43 0.73562831 0.748603626 0.663151042 0.748970588 44 0.698568367 0.77020794 0.666295993 0.737447964 45 0.667788462 0.711975769 0.647141042 0.739545015 46 0.696478632 0.677654886 0.65610306 0.731490126 47 0.689991533 0.718272367 0.668482363 0.712307692 48 0.709825784 0.673454545 0.657957206 0.694697357 49 0.683624161 0.70308887 0.639372303 0.68448551 50 0.703392318 0.680200334 0.666841244 0.697074423 51 0.648789809 0.6469869 0.640628931 0.706135182 52 0.661965881 0.661965881 0.65531162 0.651643343 53 0.677936772 0.677936772 0.624429119 0.687082631 54 0.636128025 0.636128025 0.619209726 0.683051132 55 0.647500993 0.647500993 0.647500993 0.647500993 56 0.668756668 0.668756668 0.668756668 0.668756668 57 0.663583062 0.663583062 0.663583062 0.663583062 58 0.68448551 0.68448551 0.68448551 0.68448551 59 0.68448551 0.68448551 0.68448551 0.68448551 60 0.63120062 0.63120062 0.63120062 0.63120062 61 0.647758347 0.647758347 0.647758347 0.647758347 62 0.633901206 0.633901206 0.633901206 0.633901206 63 0.631600902 0.631600902 0.631600902 0.631600902