Published July 27, 2023 | Version v1
Dataset Open

RapidEye and Landsat remote sensing measures for Sabah Biodiversity Experiment plots

  • 1. University of Oxford
  • 2. China Geological Survey
  • 3. Estacion Experimental de Zonas Aridas
  • 4. Sabah Forestry Department
  • 5. University of New England
  • 6. University of Aberdeen
  • 7. University of Hong Kong
  • 8. Dendra Systems*
  • 9. Universiti of Malaysia Sabah
  • 10. University of Maryland, College Park
  • 11. Rhino and Forest Fund*
  • 12. University of Zurich
  • 13. Yayasan Sabah Group*
  • 14. University of Hull
  • 15. South East Asia Rainforest Research Partnership*

Description

Experiments under controlled conditions have established that ecosystem functioning is generally positively related to levels of biodiversity but it is unclear how widespread these effects are in real-world settings and whether they can be harnessed for ecosystem restoration. We used a long-term, field-scale tropical restoration experiment to test how the diversity of planted trees affected recovery of a 500-ha area of selectively logged forest measured using multiple sources of satellite data. Replanting using species-rich mixtures of tree seedlings with higher phylogenetic and functional diversity accelerated restoration of remote sensing estimates of aboveground biomass, canopy cover and Leaf Area Index. Our results are consistent with a positive relationship between biodiversity and ecosystem functioning in the lowland dipterocarp rainforests of SE Asia and demonstrate that using diverse mixtures of species can enhance their initial recovery after logging.

Notes

R and RStudio are recommended to access this data, both of which are open source. No other programmes are required to access this data. Any CSV viewer would also give access to this dataset.

Funding provided by: Natural Environment Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000270
Award Number: D4T003300

Funding provided by: Natural Environment Research Council
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000270
Award Number: NE/K016253/1

Funding provided by: Comunidad de Madrid Atracción de Talento Modalidad*
Crossref Funder Registry ID:
Award Number: 2018-T1/AMB-11095

Funding provided by: Universität Zürich
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100006447
Award Number: Research Priority Program on Global Change and Biodiversity

Funding provided by: National Key Research and Development Program of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166
Award Number: 2016YFA0600101

Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 42101407

Funding provided by: Agencia Estatal de Investigación
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100011033
Award Number: RYC2021-032049-I

Files

README.md

Files (14.6 kB)

Name Size Download all
md5:8c7eb5275f2441201778aa65afa0e311
6.0 kB Preview Download
md5:caca590ec35eb31db31c4e725d49ff95
8.6 kB Download

Additional details

Related works

Is cited by
10.1101/2022.09.09.507141 (DOI)