Guiding oil palm intensification through a spatial extrapolation domain framework

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2023-10-20 DOI:10.1016/j.agsy.2023.103778
Fahmuddin Agus , Fatima A. Tenorio , Shofia Saleh , Dwi Kuntjoro G. Purwantomo , Rahmah D. Yustika , Setiari Marwanto , Suratman , Manjit Singh Sidhu , James Cock , Suan Pheng Kam , Thomas Fairhurst , Juan I. Rattalino Edreira , Christopher Donough , Patricio Grassini
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引用次数: 2

Abstract

CONTEXT

Palm oil production has increased mostly via area expansion rather than yield increase. Increasing yields on existing plantation area, together with the proper regulatory and policy settings, can help meet future oil demand whilst reducing the requirement to convert natural ecosystems to agricultural production.

OBJECTIVE

To develop a spatial framework delineating extrapolation domain (EDs) for oil palm that can be used to evaluate and extrapolate yield-enhancing technologies.

METHODS

We developed the EDs based on climate, soil, and topographic factors that govern oil palm yields on mineral soils in Indonesia. We validated our framework using field-level yield data collected from 207 commercial blocks. We provided proof of concept by using the framework to identify areas suitable for yield intensification among independent smallholder farmers while possibly reducing encroachment on fragile ecosystems.

RESULTS AND CONCLUSIONS

Our framework consists of a combination of climate, soil, and topographic factors. Most of the oil palm area was located within a relatively narrow range of biophysical conditions, with three EDs accounting for 74% of oil palm area. Validation of the spatial framework showed that EDs portrayed well spatial variation in yield across production areas. Application of the ED framework allowed identification of 1.1 M ha of oil palm managed by independent smallholders that can be targeted for sustainable intensification.

SIGNIFICANCE

Our ED framework can facilitate evaluation and extrapolation of yield-improving technologies, increasing return to AR&D programs. In turn, intensification could help increase production on existing plantation area while avoiding conversion of fragile ecosystems. Our framework can be complemented with spatial socio-economic and environmental data to answer a wide range of questions at the intersection of agronomy, economy, and environment.

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通过空间外推领域框架指导油棕榈强化
CONTEXTPalm石油产量的增加主要是通过面积的扩大而不是产量的增加。提高现有种植区的产量,再加上适当的监管和政策设置,有助于满足未来的石油需求,同时减少将自然生态系统转化为农业生产的需求。目的开发一个描绘油棕外推域(ED)的空间框架,用于评估和外推增产技术。方法我们根据气候、土壤和地形因素开发了ED,这些因素决定了印尼矿物土壤上油棕的产量。我们使用从207个商业区块收集的现场产量数据验证了我们的框架。我们利用该框架确定了适合独立小农户提高产量的地区,同时可能减少对脆弱生态系统的侵蚀,从而提供了概念证明。结果和结论我们的框架由气候、土壤和地形因素组成。大部分油棕榈区域位于相对狭窄的生物物理条件范围内,三个ED占油棕榈区域的74%。空间框架的验证表明,ED很好地描述了不同生产区产量的空间变化。ED框架的应用使得能够确定110万公顷由独立小农户管理的油棕榈,这些油棕榈可以作为可持续集约化的目标。重要的是,我们的ED框架可以促进产量提高技术的评估和推断,增加AR&;D程序。反过来,集约化可以帮助增加现有种植区的产量,同时避免脆弱生态系统的转变。我们的框架可以得到空间社会经济和环境数据的补充,以回答农学、经济和环境交叉点的一系列问题。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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