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
{"title":"通过空间外推领域框架指导油棕榈强化","authors":"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","doi":"10.1016/j.agsy.2023.103778","DOIUrl":null,"url":null,"abstract":"<div><h3>CONTEXT</h3><p>Palm oil production has increased mostly <em>via</em> 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.</p></div><div><h3>OBJECTIVE</h3><p>To develop a spatial framework delineating extrapolation domain (EDs) for oil palm that can be used to evaluate and extrapolate yield-enhancing technologies.</p></div><div><h3>METHODS</h3><p>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.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>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.</p></div><div><h3>SIGNIFICANCE</h3><p>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.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"213 ","pages":"Article 103778"},"PeriodicalIF":6.1000,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Guiding oil palm intensification through a spatial extrapolation domain framework\",\"authors\":\"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\",\"doi\":\"10.1016/j.agsy.2023.103778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>CONTEXT</h3><p>Palm oil production has increased mostly <em>via</em> 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.</p></div><div><h3>OBJECTIVE</h3><p>To develop a spatial framework delineating extrapolation domain (EDs) for oil palm that can be used to evaluate and extrapolate yield-enhancing technologies.</p></div><div><h3>METHODS</h3><p>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.</p></div><div><h3>RESULTS AND CONCLUSIONS</h3><p>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.</p></div><div><h3>SIGNIFICANCE</h3><p>Our ED framework can facilitate evaluation and extrapolation of yield-improving technologies, increasing return to AR&D programs. 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Guiding oil palm intensification through a spatial extrapolation domain framework
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.
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.