Frederick W. Rainsford , Matthew Appleby , Angela Hawdon , Alex Maisey , Rachel Lawrence , Imogen Semmler , Daniel O'Brien , Sue Ogilvy , James Q. Radford
{"title":"评估农场自然资本的状态和过渡模型框架","authors":"Frederick W. Rainsford , Matthew Appleby , Angela Hawdon , Alex Maisey , Rachel Lawrence , Imogen Semmler , Daniel O'Brien , Sue Ogilvy , James Q. Radford","doi":"10.1016/j.agsy.2024.104104","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Natural capital accounting is an emerging approach to help address the challenge of preventing further biodiversity loss while sustainably providing resources for a growing human population. It requires an effective and robust framework for quantifying natural capital on farms. State and transition models (STMs) have been used extensively to describe the range of observable condition states for an ecosystem and the processes that maintain states or drive shifts between them. Current STM frameworks have limited capacity for use in modified landscapes and therefore are currently unsuitable for many applications of natural capital accounting.</p></div><div><h3>Objective</h3><p>We aimed to develop an extended STM framework, using ‘Eucalyptus woodlands of south-eastern Australia’ as an example, to categorise ecological condition states unambiguously in high-resolution across whole farms.</p></div><div><h3>Methods</h3><p>We used synthesised current literature, consulted experts, and conducted field visits to develop and refine the STM.</p></div><div><h3>Results and conclusions</h3><p>We developed an STM that defines 35 condition states observable on farms in south-eastern Australia, ranging from ‘reference’ condition woodlands that have experienced minimal disturbance to highly modified derived grasslands and crops. The STM framework can be used to assign an ecological condition state to all areas on a farm.</p></div><div><h3>Significance</h3><p>The STM described here marks a significant advancement in farmland ecology and natural resource management. Using this tool and adapting the states and thresholds to fit other vegetation types, all ecosystems on a farm can be categorized based on ecological condition, which can then be mapped across whole farms. Ecosystem state mapping can be used to guide restoration actions, management trade-offs and track changes in ecological condition over time. These maps can be used to quantify natural capital on farms to form the basis of natural capital accounts and infer ecosystem service provision. This framework will facilitate biodiversity credential certification and help enable farmers to access price premiums and restricted markets, and ultimately, will enhance biodiversity conservation in farmlands while also enabling appropriate decisions regarding continuing agronomic use.</p></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"220 ","pages":"Article 104104"},"PeriodicalIF":6.1000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0308521X24002543/pdfft?md5=467f10a3c98dde1dd7ed95a30b76206e&pid=1-s2.0-S0308521X24002543-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A state-and-transition model framework to take stock of natural capital on farms\",\"authors\":\"Frederick W. Rainsford , Matthew Appleby , Angela Hawdon , Alex Maisey , Rachel Lawrence , Imogen Semmler , Daniel O'Brien , Sue Ogilvy , James Q. Radford\",\"doi\":\"10.1016/j.agsy.2024.104104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>Natural capital accounting is an emerging approach to help address the challenge of preventing further biodiversity loss while sustainably providing resources for a growing human population. It requires an effective and robust framework for quantifying natural capital on farms. State and transition models (STMs) have been used extensively to describe the range of observable condition states for an ecosystem and the processes that maintain states or drive shifts between them. Current STM frameworks have limited capacity for use in modified landscapes and therefore are currently unsuitable for many applications of natural capital accounting.</p></div><div><h3>Objective</h3><p>We aimed to develop an extended STM framework, using ‘Eucalyptus woodlands of south-eastern Australia’ as an example, to categorise ecological condition states unambiguously in high-resolution across whole farms.</p></div><div><h3>Methods</h3><p>We used synthesised current literature, consulted experts, and conducted field visits to develop and refine the STM.</p></div><div><h3>Results and conclusions</h3><p>We developed an STM that defines 35 condition states observable on farms in south-eastern Australia, ranging from ‘reference’ condition woodlands that have experienced minimal disturbance to highly modified derived grasslands and crops. The STM framework can be used to assign an ecological condition state to all areas on a farm.</p></div><div><h3>Significance</h3><p>The STM described here marks a significant advancement in farmland ecology and natural resource management. Using this tool and adapting the states and thresholds to fit other vegetation types, all ecosystems on a farm can be categorized based on ecological condition, which can then be mapped across whole farms. Ecosystem state mapping can be used to guide restoration actions, management trade-offs and track changes in ecological condition over time. These maps can be used to quantify natural capital on farms to form the basis of natural capital accounts and infer ecosystem service provision. 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A state-and-transition model framework to take stock of natural capital on farms
Context
Natural capital accounting is an emerging approach to help address the challenge of preventing further biodiversity loss while sustainably providing resources for a growing human population. It requires an effective and robust framework for quantifying natural capital on farms. State and transition models (STMs) have been used extensively to describe the range of observable condition states for an ecosystem and the processes that maintain states or drive shifts between them. Current STM frameworks have limited capacity for use in modified landscapes and therefore are currently unsuitable for many applications of natural capital accounting.
Objective
We aimed to develop an extended STM framework, using ‘Eucalyptus woodlands of south-eastern Australia’ as an example, to categorise ecological condition states unambiguously in high-resolution across whole farms.
Methods
We used synthesised current literature, consulted experts, and conducted field visits to develop and refine the STM.
Results and conclusions
We developed an STM that defines 35 condition states observable on farms in south-eastern Australia, ranging from ‘reference’ condition woodlands that have experienced minimal disturbance to highly modified derived grasslands and crops. The STM framework can be used to assign an ecological condition state to all areas on a farm.
Significance
The STM described here marks a significant advancement in farmland ecology and natural resource management. Using this tool and adapting the states and thresholds to fit other vegetation types, all ecosystems on a farm can be categorized based on ecological condition, which can then be mapped across whole farms. Ecosystem state mapping can be used to guide restoration actions, management trade-offs and track changes in ecological condition over time. These maps can be used to quantify natural capital on farms to form the basis of natural capital accounts and infer ecosystem service provision. This framework will facilitate biodiversity credential certification and help enable farmers to access price premiums and restricted markets, and ultimately, will enhance biodiversity conservation in farmlands while also enabling appropriate decisions regarding continuing agronomic use.
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.