2017-01-20T16:04:30 n13874

The ten most important explanatory variables for the direct health benefits, ecosystem services, advantages small scale clearing, advantages large scale clearing, and disadvantages large scale clearing indices from a BRT analysis

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The dataset presents the ten most important explanatory variables for the direct health benefits, ecosystem services, advantages small scale clearing, and disadvantages large scale clearing indicies in the Boosted Regression Tree or BRT analysis. Explanatory variables are shown in order down each column with their relative importance.  

The data was gathered by interview survey. Two interview surveys were completed.

A survey was conducted in Kalimantan, the Indonesian part of the island of Borneo. The survey was conducted by 19 local non-governmental organizations (NGOs) over a period of 15 months from April 2008 to September 2009, and involved interviews with 6,983 people in 687 villages within the general distribution range of orangutan in Kalimantan. The original dataset of 6,983 interviews was reduced to 4,973 because of doubts about the reliability of some of the responses. A further 56 interviews were performed in six villages in the Malaysian State of Sabah.

The survey questionnaire comprised 32 questions and 34 optional sub-questions that were divided into a number of sections focusing on basic socio-demographic information, assessment of interviewee reliability, and questions on perceptions of forest values and wildlife.

Geographical area of data collection

kmlPolyCoords
119.269362,7.037204 108.840673,7.037204 108.840673,-4.178475 119.269362,-4.178475 119.269362,7.037204

Publications

Meijaard, Erik, Abram, Nicola K., Wells, Jessie A., Pellier, Anne-Sophie, Ancrenaz, Marc, Gaveau, David L. A., et al. (2013) People’s perceptions about the importance of forests on Borneo. PLoS ONE, 8(9) http://dx.doi.org/10.1371/journal.pone.0073008

Research areas

Land use
Variables
Culture
Environmental health
Biological sciences
Ecology
Forests
Health economics
Earth and Environmental Sciences
Science policy
Timber
Surveys
Explanatory
Plant communities

Cite this collection

Meijaard, Erik; Abram, Nicola K.; Wells, Jessie A.; Pellier, Anne-Sophie; Ancrenaz, Marc; Gaveau, David L. A.; Runting, Rebecca K.; Mengersen, Kerrie (2013): The ten most important explanatory variables for the Direct health benefits, Ecosystem services, Advantages small scale clearing, Advantages large scale clearing, and Disadvantages large scale clearing indices in the BRT analysis, showing the explanatory variables in order down each column with their relative importance. Table_5.xls. PLOS ONE. 10.1371/journal.pone.0073008.t005
Meijaard,Erik; Abram,Nicola ; Wells,Jessie ; Pellier,Anne-Sophie; Ancrenaz,Marc; Gaveau,David ; Runting,Rebecca ; Mengersen,Kerrie . (2014): The ten most important explanatory variables for the direct health benefits, ecosystem services, advantages small scale clearing, advantages large scale clearing, and disadvantages large scale clearing indices from a BRT analysis. [Queensland University of Technology]. http://dx.doi.org/10.4225/09/5881a8147f76c

Related information

Rebecca K. Runting, Research collaborator http://goo.gl/CYjHgW
Anne-Sophie Pellier, Research collaborator http://goo.gl/CYjHgW
Jessie A. Wells, Research collaborator http://goo.gl/CYjHgW
Erik Meijaard, Research collaborator http://goo.gl/CYjHgW
Nicola K. Abram, Research collaborator http://goo.gl/CYjHgW
Marc Ancrenaz, Research collaborator http://goo.gl/CYjHgW

Access the data

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© 2013 Meijaard et al.

Dates of data collection

From 2008-04-01 to 2010-01-01

Connections

Was collected by
Kerrie Mengersen  (Researcher)

Contacts

Name: Professor Kerrie Mengersen

Other

Date record created:
2014-07-02T12:52:07
Date record modified:
2017-01-20T16:04:30
Record status:
Published - Open Access