Human-modified Tropical Forest Programme Management
Lead Research Organisation:
University of Oxford
Department Name: Geography - SoGE
Organisations
Publications
Aragão LEOC
(2018)
21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions.
in Nature communications
Barlow J
(2020)
Clarifying Amazonia's burning crisis.
in Global change biology
Barreto JR
(2021)
Assessing invertebrate herbivory in human-modified tropical forest canopies.
in Ecology and evolution
Berenguer E
(2021)
Tracking the impacts of El Niño drought and fire in human-modified Amazonian forests.
in Proceedings of the National Academy of Sciences of the United States of America
Berenguer E
(2018)
Tree growth and stem carbon accumulation in human-modified Amazonian forests following drought and fire.
in Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Blonder B
(2020)
Linking functional traits to multiscale statistics of leaf venation networks.
in The New phytologist
Correa D
(2022)
Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates
in Global Ecology and Biogeography
Doughty C
(2020)
Predicting tropical tree mortality with leaf spectroscopy
in Biotropica
Esquivel-Muelbert A
(2019)
Compositional response of Amazon forests to climate change.
in Global change biology
| Description | We have discovered that logged forests can have amplified ecological functions and energetics (Malhi et al 2022 Nature) but be larger carbon sources (and longer lived) than expected )Mills et al 2023 PNAS) |
| Exploitation Route | It opens up a new way of thinking about the ecological value of human-modified ecosystems, and questions the use of the term degradation. |
| Sectors | Environment |
| 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. |