Incorporating biodiversity impacts in land use decisions

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Cindy G. Azuero-Pedraza , Valerie M. Thomas
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引用次数: 0

Abstract

We develop a framework for incorporating biodiversity impacts into land use optimization models. Using the countryside species–area relationship, six approaches to incorporating biodiversity are evaluated: constraint versus objective function, and with characterization factors, piecewise linear, or non-linear implementation. We also consider the underlying ethical assumptions of different options for biodiversity evaluation considering taxa and ecoregions. To explore the six approaches, we use a case study that considers both climate change mitigation and the biodiversity impact due to habitat loss. We find that the characterization factor approach underestimates biodiversity loss, while the piecewise linear approach somewhat overestimates. Utilizing two approaches: biodiversity protection as the objective, and biodiversity as a constraint allows the construction of a Pareto frontier for cost versus loss of species. In addition to minimum cost solutions and minimum biodiversity loss solutions, the integrated model allows to identify (1) solutions with improved outcomes, those better for biodiversity and with small changes on costs, (2) mechanisms the model uses to achieve the improved solutions, (3) trade-offs and (4) challenges.

Abstract Image

将生物多样性影响纳入土地使用决策
我们建立了一个将生物多样性影响纳入土地利用优化模型的框架。利用乡村物种与面积的关系,评估了纳入生物多样性的六种方法:约束与目标函数,以及特征因素、片断线性或非线性实施。我们还考虑了生物多样性评估不同方案的基本伦理假设,包括分类群和生态区。为了探讨这六种方法,我们使用了一个案例研究,该案例同时考虑了减缓气候变化和栖息地丧失对生物多样性的影响。我们发现,特征因子法低估了生物多样性损失,而片断线性法在一定程度上高估了生物多样性损失。利用两种方法:将保护生物多样性作为目标,将生物多样性作为约束条件,可以构建出成本与物种损失的帕累托边界。除了最小成本解决方案和最小生物多样性损失解决方案外,综合模型还可以确定:(1)结果更好的解决方案,即对生物多样性更好且成本变化较小的解决方案;(2)模型用于实现改进解决方案的机制;(3)权衡;(4)挑战。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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