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Siak Pelalawan Landscape Programme: How Companies Collaborate and Engage

Siak Pelalawan Landscape Programme: How Companies Collaborate and Engage

15 January 2021

This case study looks into private sector engagement in the Siak Pelalawan Landscape Programme (SPLP), which currently comprises eight palm oil producers, traders, and downstream buyers, facilitated by Proforest and Daemeter Consulting, in the Siak and Pelalawan districts in Riau province, Indonesia.

Sustainable Palm Oil: Trade and key players between Indonesia and China

8 October 2020

Part 1 of this report provides a baseline mapping study of Indonesia-China sustainable palm oil linkages. The linkages are investigated from several angles, from an overview of the trade relationship between Indonesia and China to...

Baseline studies of successful models for sustainable smallholder development

Baseline studies of successful models for sustainable smallholder development

30 May 2019

SHARP | 2015 | SHARP

There are many models of smallholder production, ranging from independent farmers or cooperatives to large-scale schemes funded by governments or the private sector.

The baseline studies listed here review...

PES incentives for smallholders to avoid deforestation: lessons learned and factors for success

PES incentives for smallholders to avoid deforestation: lessons learned and factors for success

29 May 2019

Helen Cross and Willie McGhee | 2015 | SHARP

Payments for ecosystem services, or PES, projects are designed to provide incentives for people and organisations to protect environmental services in an area. 

This report reviews a...

Malaysian National Interpretation for the Identification of High Conservation Values

Malaysian National Interpretation for the Identification of High Conservation Values

29 August 2018

2018 | HCV Malaysia Toolkit Steering Committee

HCVs (High Conservation Values) are biological, ecological, social or cultural values of outstanding significance or critical importance within a landscape. The HCV approach aims to...

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