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Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand

I.  INTRODUCTION Changes  of  plant  community  in  a  forest  involves  species  richness,  composition,  diversity  and  ecological  roles  by  measuring  these  parameters  during  a  period  of  time.  It  is  assumed  that  either  local  environment  or  climate  change  have  influenced  these  changes.  The  DDF  covers  dry  sites  in  northern,  northeastern  and  central  Thailand.  The  forest  vegetation  has  a  major  role  on  the  hydrologic  cycle  in  a  watershed.  The  rate  at  which  water  infiltrates  into  soil,  surface  runoff  and  percolates  into  water  table  is  affected  by  density  and  depth  of  roots  and  soil  organic  matter.  Theories  of  forest  hydrologic  cycle  have  been  described  by  Landberg  and  Gower  (1997), Waring  and  Running  (1998),  Kimmins  (2004)  and  Chang  (2006).  Most  contents  focus  on  water   input  and  movement  such  as  interception-evaporation  by  forest  canopy,  throughfall,  stemflow,  plant  use,  transpiration,  water  flow  through  vegetation,  evaporation  from  soil,  infiltration  into  soil,  drainage  and  runoff  and  stream  flow. This  research  aims  at  monitoring  plant  species  diversity  and  its  role  on  water  storage  in  plant  biomass  of  a  dry  dipterocarp  forest  (DDF)  at  the  HHKRDS  Center.  The  data  provides  useful  information  for  forest  and  watershed  management. II. MATERIALS  AND  METHODS 1.  Study  area The  research  was  conducted  in  the  HHKRDS  Center,  Chiang  Mai  province,  about  27  km  to  the  north  of  Chiang  Mai  city.  The  Center  covers  an  area  of  about  1,360  ha  with  an  altitude  range  between  350  and  591  meters  above  sea  level.  2 2.  nPlant  community  study A  method  of  plant  community  analysis was  used  for  plant  study  in  2010  and  2015  using  12  plots,  each  of  size  40  x  40  m2.  All  tree  stems  were  numbered  in  sequence,  and  measured  for  stem  girths  at  1.3  m  above  ground  (gbh)  and  tree  heights.  Plant  data  were  calculated  for  frequency,  density,  importance  value  index  and  Shannon-Wiener  Index  (Krebs, 1985).  Forest  condition  index  (FCI)  was  based  on  an  equation  given  by  Seeloy-ounkeaw  et.  al. (2014). FCI  =  Ʃ  n.10-4  +  n.10-3  +  n.10-2  +  123n.10-1  +  1(n)  +  2(n)  + …… 456Where n1  =  number  of  tree  individuals  having  GBH<25  cm   =  number  of  individuals  having  GBH  25  to  <50  cm n3   =  number  of  individuals  having  GBH 50  to  <75  cm n4   =  number  of  individuals  having  GBH 75  to  <100  cm n5   =  number  of  individuals  having  GBH  100  to  <  200  cm n6   =  number  of  individuals  having  GBH  200  to  <  300  cm S W3.  Plant  biomass  estimation  Plant  biomass  was  measured  using  allometric  equations  Ogino  et.  al.  (1967). = 189  (D2H)0.902 WB = 0.125Ws1.204 R W 1/WL = (11.4/ws0.90)  +  0.172 Where WS = stem  biomass  in  kilogram WB = branch  biomass  in  kilogram WL = leaf  biomass  in  kilogram The  unit  of  stem  diameter  (D)  and  tree  height  (H)  was  in  meters.  The  root  biomass  was  calculated  using  an  equation  of  Ogawa  et.  al.  (1965).   =  0.026  (D2H)0.775 The  unit  was  in  kilogram  for  WR,  centimeter  for  D  and  meter  for  H. 24 Proceedings  of  the  International  Conference  on  Climate  Change,  Biodiversity  and  Ecosystem  Services  for  the Sustainable  Development  Goals  (SDGs):  Policy  and  Practice  27-29  June  2016,  Cha-am,  Phetchaburi,  Thailand


Proceedings of International Conference on Climate Change, Biodiversity and Ecosystem Services for the Sustainable Development Goals : Policy and Practice 27-29 June 2016 at the Sirindhorn International Environmental Park, Cha-am, Phetchaburi, Thailand
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