R code to reproduce analyses of aboveground carbon stocks and associated plant diversity in fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017
The R code "carbon_stock_calculations.R" estimates aboveground carbon stocks for 49 plots in 14 fragmented forest sites and 4 continuous forest sites in Sabah, Malaysian Borneo, using the vegetation dataset ‘Vegetation and habitat data for fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017’. The 14 fragmented sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations, and are hereafter termed 'conservation set-asides'. The code also estimates the aboveground carbon stocks of oil palm plantations for comparison. The R code "analyses_and_figures.R" runs analyses and makes figures of aboveground carbon stocks and associated plant diversity for these sites, as presented in Fleiss et al. (2020) This R code was created in order to investigate the following: (1) to establish the value of conservation set-asides for increasing oil palm plantation aboveground carbon stocks; (2) to establish whether set-asides with high aboveground carbon stocks can have co-benefits for plant diversity; (3) to compare the carbon stocks and vegetation structure of conservation set-asides with that of continuous forest, including assessing tree regeneration potential by examining variation in seedling density; (4) to examine potential drivers of variation in aboveground carbon stocks of conservation set-asides (topography, degree of fragmentation, and soil parameters); (5) to scale-up the estimates of the aboveground carbon stocks of conservation set-asides, in order to predict average carbon stocks of oil palm plantations with and without set-asides, and for varying coverage of set-asides across the plantation. Full details about this dataset can be found at https://doi.org/10.5285/9ff5cdca-b504-4994-8b07-5912ee6aff47
dataset
https://data-package.ceh.ac.uk/data/9ff5cdca-b504-4994-8b07-5912ee6aff47
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https://data-package.ceh.ac.uk/sd/9ff5cdca-b504-4994-8b07-5912ee6aff47.zip
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description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/9ff5cdca-b504-4994-8b07-5912ee6aff47
doi:
eng
biota
environment
farming
planningCadastre
Borneo
Forest fragmentation
Oil palm
Tropical rainforest
Conservation set-aside
Sustainable agriculture
Agricultural landscapes
Plant biodiversity
Flora
Carbon storage
Climate mitigation
Roundtable on Sustainable Palm Oil
Plantae
117.095
118.49
6.339
4.965
2017-07-21
2017-10-28
publication
2020-06-15
creation
2020-06-02
The data used in these analyses were collected in July - October 2017. The 14 fragmented sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations; and they varied from isolated forest fragments to sites connected to forest reserves outside the oil palm plantation. The four continuous forest sites were located in Danum Valley and Malua Forest Reserves, and include both primary and logged forest sites. At each site, vegetation was surveyed in 2-3 circular plots spaced 100 m apart along a transect (the smallest fragmented sites had only 2 plots and all other sites had 3). In each plot, living trees and palms, saplings, seedlings, deadwood, and lianas on trees were surveyed in a nested plot design. All living trees, saplings and seedlings were identified to genus, and to species where possible. Field data were collected in collaboration with experienced local botanists. In addition, eight soil parameters were measured from topsoil samples in each plot. Metrics relating to the degree of forest fragmentation in the surrounding landscape were calculated for each plot, using drone (UAV) imagery from an oil palm company. Note that additional measurements (e.g. ground vegetation) are available in the full dataset, which were not included in these analyses (see https://doi.org/10.5285/c67b06b7-c3f6-49a3-baf2-9fc3a72cb98a ).
publication
2010-12-08
Comma-separated values (CSV)
If you reuse this data, you should cite: Fleiss, S. (2020). R code to reproduce analyses of aboveground carbon stocks and associated plant diversity in fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017. NERC Environmental Information Data Centre https://doi.org/10.5285/9ff5cdca-b504-4994-8b07-5912ee6aff47
University of York
author
University of York
biol-research-office@york.ac.uk
owner
Environmental Information Data Centre
custodian
NERC Environmental Information Data Centre
publisher
University of York
pointOfContact
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2020-06-16T09:05:00