Simple analysis of biodiversity response functions and multipliers for biodiversity offsetting and other applications

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-01-18 DOI:10.1016/j.envsoft.2025.106322
Atte Moilanen, Pauli Lehtinen
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引用次数: 0

Abstract

Biodiversity offsets mean compensation for ecological losses caused by construction, development, land use or other human activities. They are commonly implemented via protection, restoration, or maintenance of habitats. The goal of offsetting is usually no net loss (NNL), which means that all net losses to biodiversity are fully compensated by commensurate net gains achieved via said offset actions. Here we collate and develop simple calculations for the determination of offset size (area) in the context of so-called multiplier approaches to offsets. We focus on the analysis of the response of habitat condition to action, which is a critical component of multiplier calculations, because the effectiveness and speed of different conservation actions and interventions can vary significantly. An excel application and R-code are included that implement calculations on offset response functions. The proposed methods are also relevant for other applications, including the generation of biodiversity credits for biodiversity credit markets.
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生物多样性响应函数和乘数在生物多样性补偿和其他应用中的简单分析
生物多样性补偿是指补偿因建设、开发、土地利用或其他人类活动造成的生态损失。它们通常通过保护、恢复或维护栖息地来实现。抵消的目标通常是无净损失(NNL),这意味着生物多样性的所有净损失都可以通过上述抵消行动获得相应的净收益来充分补偿。在这里,我们整理和开发简单的计算,以确定所谓的乘数方法的偏移量大小(面积)的背景下。我们重点分析生境条件对行动的响应,这是乘数计算的关键组成部分,因为不同的保护行动和干预措施的有效性和速度可能会有很大差异。包括一个excel应用程序和r -代码,实现对偏移响应函数的计算。所提出的方法也适用于其他应用,包括为生物多样性信用市场生成生物多样性信用。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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