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The Biodiversity Forecasting Toolkit: Answering the 'how much', 'what', and 'where' of planning for biodiversity persistence

机译:生物多样性预测工具包:回答生物多样性持久性规划的“多少”,“什么”和“何处”

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摘要

This research reports on a new approach to conservation assessment that seeks to extend the target-based model traditionally underpinning systematic conservation planning. The Biodiversity Forecasting Tool(BFT) helps answer three important questions relating to regional biodiversity persistence: 'how much' biodiversity can persist for a given land-management scenario; 'what' habitats to focus conservation effort on; and 'where' in the landscape to undertake conservation action. The tool integrates fine-scaled variability in vegetation composition and structure with spatial context, which is critical for ensuring the viability of populations. Thus, a raster data framework is employed which deems each location or gridcell in a landscape as contributing to biodiversity benefits to various degrees. At its simplest, just two spatial inputs, vegetation community types and vegetation condition, are needed. Drawing on, as a case-study, a broad-scale biodiversity assessment for NSW, Australia, this paper reports on the successful application of the BFT tool for a variety of functions ranging from interactive scenario evaluation through to conservation benefits mapping.
机译:这项研究报告了一种新的养护评估方法,该方法旨在扩展传统上支持系统养护规划的基于目标的模型。生物多样性预测工具(BFT)有助于回答与区域生物多样性持久性有关的三个重要问题:在给定的土地管理情况下,生物多样性可以“维持”多少; “什么”栖息地以保护工作为重点;以及在景观中的“何处”采取保护行动。该工具将植被组成和结构的细微变化与空间环境进行了整合,这对于确保种群的生存能力至关重要。因此,采用了栅格数据框架,该栅格数据框架将景观中的每个位置或网格单元视为对生物多样性带来不同程度的贡献。简单来说,只需要两个空间输入,植被群落类型和植被状况。作为案例研究,本文以澳大利亚新南威尔士州的大规模生物多样性评估为基础,报告了BFT工具在各种功能中的成功应用,这些功能从交互式情景评估到保护效益图绘制。

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