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

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).本数据集基于世界农林业中心（ICRAF）开发的WaNuLCAS模型，针对矿质土壤上涉及油棕、橡胶、可可、咖啡与椰子的生产系统开展生物物理生产力分析。WaNuLCAS模型（van Noordwijk与Lusiana，1999；van Noordwijk等，2011）是一款适用于多类农林业系统的通用林木-作物生长模型，可同时考量地上（光照）与地下（土壤、水分与养分）过程。针对泥炭地上对应生产系统的产量与固碳量核算，本研究采用混合方法完成：通过文献综述识别生产力缺口，对矿质土壤生产系统的模拟结果进行调整。最后，本研究通过土地适宜性分析与统计数据分析，估算了西谷椰与菠萝的生产力。本数据集涵盖了林木作物种植的现行实践与潜在管理优化方案，可在提升民生福祉的同时助力气候变化减缓与生物多样性保护。本研究结果结合其他林木生长与森林恢复相关信息，可全面阐明从精细化管理到生态修复的各类修复干预措施的生态与经济影响。本数据集作为RESTORE+项目的一部分创建，详细信息见独立文档（详见https://doi.org/10.5281/zenodo.7937135）。