Dataset for yield and carbon sequestration of main tree crops in Indonesia

Lusiana, B., Pambudi, S., Khasanah, N., Dewi, S., & Yowargana, P. (2023). Dataset for yield and carbon sequestration of main tree crops in Indonesia. 10.5281/zenodo.7937084.

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Abstract

Biophysical productivity of production systems involving oil palm, rubber, cacao, coffee and coconut on mineral soil using the WaNuLCAS model developed by ICRAF. The WaNuLCAS model (van Noordwijk and Lusiana 1999; van Noordwijk et al., 2011) is a generic tree-crop growth model for a wide range of agroforestry systems that considers both aboveground (light) and belowground (soil, water, and nutrients). Yield and carbon sequestration calculation of the corresponding production systems in peatland were developed using a hybrid approach through adjusting results for mineral soil production system with productivity gaps identified through literature review. Finally, land suitability and statistical data analyses were conducted to estimate productivity of sago and pineapple.

The dataset cover current practices and potential management improvements of tree crops cultivation that can increase the benefits to people’s livelihood while contributing to climate change mitigation and biodiversity. Results from this study, in combination with other tree-growth and forest regrowth related information, will provide a comprehensive overview on ecological and economic impact of restoration interventions ranging from improved management to ecological restoration. This dataset was created as a part of the RESTORE+ project. The details are described in a separate document (see https://doi.org/10.5281/zenodo.7937135).

Item Type:	Data
Additional Information:	Creative Commons Attribution 4.0 International
Research Programs:	Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Agriculture, Forestry, and Ecosystem Services (AFE)
Depositing User:	Luke Kirwan
Date Deposited:	18 Dec 2023 15:42
Last Modified:	18 Dec 2023 15:42
URI:	https://pure.iiasa.ac.at/19332

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