Human-modified Tropical Forest Programme Management
Lead Research Organisation:
University of Oxford
Department Name: Geography - SoGE
Organisations
Publications
Hawes J
(2020)
A large-scale assessment of plant dispersal mode and seed traits across human-modified Amazonian forests
in Journal of Ecology
Blonder B
(2020)
Linking functional traits to multiscale statistics of leaf venation networks.
in The New phytologist
Swinfield T
(2020)
Imaging spectroscopy reveals the effects of topography and logging on the leaf chemistry of tropical forest canopy trees.
in Global change biology
Doughty C
(2020)
Predicting tropical tree mortality with leaf spectroscopy
in Biotropica
Milodowski D
(2021)
The impact of logging on vertical canopy structure across a gradient of tropical forest degradation intensity in Borneo
in Journal of Applied Ecology
Riutta T
(2021)
Major and persistent shifts in below-ground carbon dynamics and soil respiration following logging in tropical forests.
in Global change biology
Barreto J
(2021)
Assessing invertebrate herbivory in human-modified tropical forest canopies
in Ecology and Evolution
Title | HMTF Programme dataset documentation database |
Description | The HMTF data manager has developed a MS Access relational database that details over 200 researchers and collaborators within the three consortia making up the HMTF programme (BALI, LOMBOK and ECOFOR). All researchers producing field data have been identified and basic information about the datasets they are producing (metadata) has been entered into the database. Metadata information required by the NERC EIDC is also being entered for each dataset. The database is currently being expanded to indicate which datasets contain environmental information (including temporal and spatial details) that could be shared across consortia. |
Type Of Material | Database/Collection of data |
Provided To Others? | No |
Impact | Tracking system will ensure that all datasets have been properly documented. Tracking of all datasets produced by researchers in three consortia in large programme provides an overview of research which is of benefit to PI's and HMTF management team. Storage of metadata for each dataset as it becomes available will allow direct upload of metadata information to NERC datacentre when data is archived at the end of the Award. Detailed metadata records (e.g. environmental data) will allow modellers and researchers to review what other consortia datasets may be available for collaborations. Dataset and researcher information has been provided to NERC Knowledge Exchange Fellow, Dr Jennifer Lucey. |