评估农场自然资本的状态和过渡模型框架

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Frederick W. Rainsford , Matthew Appleby , Angela Hawdon , Alex Maisey , Rachel Lawrence , Imogen Semmler , Daniel O'Brien , Sue Ogilvy , James Q. Radford
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引用次数: 0

摘要

背景自然资本核算是一种新兴方法,有助于应对防止生物多样性进一步丧失的挑战,同时可持续地为不断增长的人口提供资源。它需要一个有效而稳健的框架来量化农场的自然资本。状态和过渡模型 (STM) 已被广泛用于描述生态系统的各种可观测状态以及维持状态或驱动状态之间转变的过程。目前的 STM 框架在改良景观中的使用能力有限,因此目前不适合自然资本核算的许多应用。我们的目标是以 "澳大利亚东南部的桉树林地 "为例,开发一个扩展的 STM 框架,以高分辨率对整个农场的生态条件状态进行明确分类。结果与结论我们开发了一种生态状态模型,定义了澳大利亚东南部农场可观察到的 35 种生态状态,从经历最少干扰的 "参考 "状态林地到经过高度改造的衍生草地和作物,不一而足。这里描述的 STM 标志着农田生态学和自然资源管理的重大进步。使用该工具并调整状态和阈值以适应其他植被类型,可以根据生态状况对农场的所有生态系统进行分类,然后绘制整个农场的生态状况图。生态系统状态绘图可用于指导恢复行动、管理权衡以及跟踪生态状况随时间的变化。这些地图可用于量化农场的自然资本,形成自然资本账户的基础,并推断生态系统服务的提供情况。该框架将促进生物多样性证书认证,帮助农民获得价格溢价和进入受限市场,最终将加强农田生物多样性保护,同时还能就持续农艺用途做出适当决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A state-and-transition model framework to take stock of natural capital on farms

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.

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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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