toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author (up) Bastin, J.-F.; Rutishauser, E.; Kellner, J.R.; Saatchi, S.; Pélissier, R.; Hérault, B.; Slik, F.; Bogaert, J.; De Cannière, C.; Marshall, A.R.; Poulsen, J.; Alvarez-Loyayza, P.; Andrade, A.; Angbonga-Basia, A.; Araujo-Murakami, A.; Arroyo, L.; Ayyappan, N.; de Azevedo, C.P.; Banki, O.; Barbier, N.; Barroso, J.G.; Beeckman, H.; Bitariho, R.; Boeckx, P.; Boehning-Gaese, K.; Brandão, H.; Brearley, F.Q.; Breuer Ndoundou Hockemba, M.; Brienen, R.; Camargo, J.L.C.; Campos-Arceiz, A.; Cassart, B.; Chave, J.; Chazdon, R.; Chuyong, G.; Clark, D.B.; Clark, C.J.; Condit, R.; Honorio Coronado, E.N.; Davidar, P.; de Haulleville, T.; Descroix, L.; Doucet, J.-L.; Dourdain, A.; Droissart, V.; Duncan, T.; Silva Espejo, J.; Espinosa, S.; Farwig, N.; Fayolle, A.; Feldpausch, T.R.; Ferraz, A.; Fletcher, C.; Gajapersad, K.; Gillet, J.-F.; Amaral, I.L. do; Gonmadje, C.; Grogan, J.; Harris, D.; Herzog, S.K.; Homeier, J.; Hubau, W.; Hubbell, S.P.; Hufkens, K.; Hurtado, J.; Kamdem, N.G.; Kearsley, E.; Kenfack, D.; Kessler, M.; Labrière, N.; Laumonier, Y.; Laurance, S.; Laurance, W.F.; Lewis, S.L.; Libalah, M.B.; Ligot, G.; Lloyd, J.; Lovejoy, T.E.; Malhi, Y.; Marimon, B.S.; Marimon Junior, B.H.; Martin, E.H.; Matius, P.; Meyer, V.; Mendoza Bautista, C.; Monteagudo-Mendoza, A.; Mtui, A.; Neill, D.; Parada Gutierrez, G.A.; Pardo, G.; Parren, M.; Parthasarathy, N.; Phillips, O.L.; Pitman, N.C.A.; Ploton, P.; Ponette, Q.; Ramesh, B.R.; Razafimahaimodison, J.-C.; Réjou-Méchain, M.; Rolim, S.G.; Saltos, H.R.; Rossi, L.M.B.; Spironello, W.R.; Rovero, F.; Saner, P.; Sasaki, D.; Schulze, M.; Silveira, M.; Singh, J.; Sist, P.; Sonke, B.; Soto, J.D.; de Souza, C.R.; Stropp, J.; Sullivan, M.J.P.; Swanepoel, B.; Steege, H. ter; Terborgh, J.; Texier, N.; Toma, T.; Valencia, R.; Valenzuela, L.; Ferreira, L.V.; Valverde, F.C.; Van Andel, T.R.; Vasque, R.; Verbeeck, H.; Vivek, P.; Vleminckx, J.; Vos, V.A.; Wagner, F.H.; Warsudi, P.P.; Wortel, V.; Zagt, R.J.; Zebaze, D. doi  openurl
  Title Pan-tropical prediction of forest structure from the largest trees Type Journal Article
  Year 2018 Publication Global Ecology and Biogeography Abbreviated Journal Global Ecol Biogeogr  
  Volume 27 Issue 11 Pages 1366-1383  
  Keywords carbon; climate change; forest structure; large trees; pan-tropical; Redd+; tropical forest ecology  
  Abstract Abstract Aim Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan-tropical model to predict plot-level forest structure properties and biomass from only the largest trees. Location Pan-tropical. Time period Early 21st century. Major taxa studied Woody plants. Methods Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey's height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results Measuring the largest trees in tropical forests enables unbiased predictions of plot- and site-level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey's height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium-sized trees (50?70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate-diameter classes relative to other continents. Main conclusions Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change.  
  Address  
  Corporate Author Thesis  
  Publisher John Wiley & Sons, Ltd (10.1111) Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1466-822x ISBN Medium  
  Area Expedition Conference  
  Notes doi: 10.1111/geb.12803 Approved no  
  Call Number EcoFoG @ webmaster @ Serial 845  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: