RESTORE+
  • About
    • The Project
    • Partners
    • Team
    • Advisors
    • Contact us
  • Resources
    • News & Events
    • Mid-term update
    • Publications
    • Newsletter
    • Datasets
    • Licensing
  • Highlights
    • Productivity

Biophysical
productivity

Crop yield and biomass are crucial elements that need to be considered in the achievement of objectives and potential trade-offs of restoration interventions.
Generating lasting positive impact requires interventions that address socioeconomic and ecological challenges of the restored landscape. These interventions could range from improving management system in agriculture areas to re-vegetating degraded land with native species.
RESTORE+ performed biophysical productivity modelling to estimate yield and carbon sequestration information of restoration options in Indonesia.
The generated biophysical productivity datasets aim to inform stakeholders or future investigations on the ecological and economic trade-offs of restoration interventions.
EXPLORE PRODUCTIVITY DATASETS

The restoration "staircase"

Restoration approaches vary. Suitability of restoration intervention is related to the state of degradation of the restored landscape. As biodiversity and ecosystem services improve, the suitable approach can "elevate" along the restoration staircase.
Picture
Modified from "Beyond deforestation: restoring forests and ecosystem services on degraded lands" (Chazdon, R. L., 2008, Science 320:1458-1460)

An array of biophysical productivity estimation

Picture
MONOCULTURE
TREECROPS

Picture
AGROFORESTRY
Picture
FOREST
RESTORATION
RESTORE+ modelled multiple systems that depict various landscapes and restoration approaches. This covers monoculture forest and agriculture plantations, as well as agroforestry, native tree species planting and natural forest growth. See Publications and Datasets for more information about the productivity estimation

about

About RESTORE+
Partners
Team
Advisors

Contact us

resources

News & Events
Publications
Newsletter
Datasets
Licensing
Picture
© COPYRIGHT 2017. Licensed under Creative Commons..
  • About
    • The Project
    • Partners
    • Team
    • Advisors
    • Contact us
  • Resources
    • News & Events
    • Mid-term update
    • Publications
    • Newsletter
    • Datasets
    • Licensing
  • Highlights
    • Productivity