# 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/giralia2age.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: GiraliaStem2age # Earliest_Year: 1936 # Most_Recent_Year: 2008 # Time_Unit: AD # Core_Length: 0.047 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 2 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 0.856055749 0.847784679 0.843708791 0.839671907 2 0.878084346 0.909955556 0.917430919 0.90392936 3 0.896671533 0.914017857 0.906597786 0.898639356 4 0.909282013 0.91538003 0.938456837 0.894712309 5 0.890173913 0.881233859 0.899297218 0.866318759 6 0.964238619 0.949335394 0.95971875 0.932756264 7 0.958969555 0.970331754 0.986698795 0.939892884 8 0.983538831 0.907937916 0.911305638 0.993883495 9 0.926425339 0.944953846 0.97263658 0.901938326 10 0.883134436 0.91333829 0.937740458 0.956728972 11 0.890173913 1.007744053 1.043704333 0.868155477 12 0.851309771 0.975726767 1.028844221 0.953017843 13 0.991476998 0.931341926 0.961220657 0.967275591 14 0.924334086 0.92503012 0.975726767 0.933465046 15 0.920179775 0.910630096 0.942778204 0.967275591 16 0.937025172 0.927124528 0.892761628 0.966514555 17 0.922252252 0.918116592 0.912659733 0.908609467 18 0.897326516 0.935597867 0.950804954 0.847784679 19 0.856055749 0.883769784 0.927824773 0.796653696 20 0.788978805 0.794078862 0.773576826 0.923639098 21 0.887601156 0.792030948 0.859650105 0.862668539 22 0.867542373 0.895364431 0.928526077 0.813536424 23 0.908609467 0.912659733 0.920869565 0.7649066 24 0.807122208 0.862668539 0.868155477 0.902601029 25 0.920179775 0.877457143 0.953017843 0.864489796 26 0.911305638 0.886960289 0.856055749 0.853083333 27 0.876830835 0.858448637 0.827789757 0.841973955 28 0.820601202 0.885043228 0.919491018 0.923639098 29 0.871852378 0.905929204 0.92503012 0.908609467 30 0.924334086 0.895364431 0.91606264 0.901938326 31 0.91538003 0.971867089 0.884406048 0.857250523 32 0.933465046 0.876830835 0.865098592 0.896671533 33 0.872471591 0.898639356 0.934174905 0.839098361 34 0.911982183 0.859048951 0.853083333 0.850720222 35 0.856055749 0.787461538 0.891465893 0.85545961 36 0.881866475 0.865098592 0.897326516 0.857849162 37 0.828347943 0.905929204 0.862063158 0.8472 38 0.843708791 0.962727273 0.821698997 0.840246238 39 0.854864301 0.817325349 0.868155477 0.865098592 40 0.841973955 0.86085494 0.879341446 0.865708245 41 0.796653696 0.869384289 0.837382413 0.787461538 42 0.832276423 0.840821355 0.86085494 0.74996337 43 0.803427077 0.881233859 0.890819434 0.836811989 44 0.784444444 0.862063158 0.862063158 0.828347943 45 0.823903421 0.862063158 0.840246238 0.856055749 46 0.81896 0.875532895 0.860252101 0.813453545 47 0.834363636 0.860808538 0.869810458 0.824541512 48 0.868674935 0.853083333 0.8860253 0.815947272 49 0.803144237 0.853630532 0.868108284 0.780076202 50 0.811964613 0.81896 0.842818239 0.786530733 51 0.781450382 0.839098361 0.82250309 0.856377091 52 0.771484058 0.868108284 0.858587097 0.814449204 53 0.75872862 0.79214881 0.82301175 0.763955224 54 0.771931555 0.840157828 0.811964613 0.779162763 55 0.783751472 0.759594749 0.798805522 0.783290171 56 0.765713464 0.854727039 0.748908272 0.77103708 57 0.774627474 0.772828107 0.707501329 0.76220504 58 0.725632497 0.701164384 0.722480999 0.736067478 59 0.743884852 0.709765333 0.766154289 0.740573178 60 0.685984536 0.745134378 0.808511543 0.719356757 61 0.726821409 0.801692771 0.765713464 0.728014223 62 0.663745636 0.798805522 0.772379571 0.711282737 63 0.707501329 0.748908272 0.779619215 0.68704698 64 0.682466667 0.765273145 0.747226277 0.662094527 65 0.740985523 0.739338889 0.740985523 0.662753984 66 0.688825052 0.759161438 0.759161438 0.660779543 67 0.705625663 0.735254144 0.846033058 0.71703125 68 0.701904008 0.714337091 0.73484815 0.704878178 69 0.703759915 0.778706846 0.778706846 0.676568378 70 0.706749867 0.764833333 0.764833333 0.647596107 71 0.676912513 0.806551515 0.806551515 0.690254149 72 0.684291444 0.796653696 0.796653696 0.711396803