Towards robust corridors: a validation framework to improve corridor modeling

IF 4 2区 环境科学与生态学 Q1 ECOLOGY Landscape Ecology Pub Date : 2024-09-16 DOI:10.1007/s10980-024-01971-4
Erin E. Poor, Brian Scheick, John J. Cox, Joseph M. Guthrie, Jennifer M. Mullinax
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Abstract

Context

Ecological corridors are one of the most recommended ways to mitigate biodiversity loss. With growing recognition of corridor importance, corridor modeling lags others in the development of robust, quantitative validation methods.

Objective

We propose a post-hoc corridor validation framework, considering the range of methods across data needs and statistical intensity. We demonstrate the importance of post-hoc corridor validation by testing several validation methods on different corridor model outputs.

Methods

We used three different transformations on a Florida black bear (Ursus americanus floidanus) habitat suitability model to create different resistance grids, independent GPS collar data from a case study population, and Circuitscape to create corridor models. We used several validation methods, including a novel method, to compare resulting corridors.

Results

Transformed resistance grids were all correlated, yet differing validation and resistance grids resulted in different recommended corridors. The use of one resistance surface and one validation type can result in the selection of inefficient or ineffective corridors. At a minimum, modelers should determine what proportion of an independent population falls within resulting corridors and should move towards more robust, documented methods as resources allow. The use of multiple validation methods can ensure greater confidence of modeling results.

Conclusions

We encourage the use and further development of the framework presented here to drive the corridor modeling field towards more effective corridor creation and improved conservation outcomes. If validation methods are not improved, the ecological and economic cost of poor corridor science will continue to increase with increasing biodiversity loss.

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实现稳健的走廊:改进走廊建模的验证框架
背景生态走廊是减缓生物多样性丧失的最值得推荐的方法之一。随着人们越来越认识到走廊的重要性,走廊建模在开发稳健的定量验证方法方面却落后于其他方法。目标我们提出了一个事后走廊验证框架,考虑到了数据需求和统计强度的方法范围。方法我们在佛罗里达黑熊(Ursus americanus floidanus)栖息地适宜性模型上使用了三种不同的转换来创建不同的阻力网格、来自案例研究种群的独立 GPS 项圈数据以及 Circuitscape 来创建走廊模型。我们使用了几种验证方法(包括一种新方法)来比较得出的走廊。结果转换后的阻力网格都是相关的,但不同的验证和阻力网格会产生不同的推荐走廊。使用一种阻力面和一种验证类型可能会导致选择低效或无效的走廊。至少,建模人员应确定独立群体中有多大比例属于由此产生的走廊,并应在资源允许的情况下采用更稳健、有据可查的方法。结论我们鼓励使用并进一步发展本文介绍的框架,以推动走廊建模领域更有效地创建走廊并改善保护结果。如果不改进验证方法,随着生物多样性损失的增加,走廊科学不完善所造成的生态和经济损失将继续增加。
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来源期刊
Landscape Ecology
Landscape Ecology 环境科学-地球科学综合
CiteScore
8.30
自引率
7.70%
发文量
164
审稿时长
8-16 weeks
期刊介绍: Landscape Ecology is the flagship journal of a well-established and rapidly developing interdisciplinary science that focuses explicitly on the ecological understanding of spatial heterogeneity. Landscape Ecology draws together expertise from both biophysical and socioeconomic sciences to explore basic and applied research questions concerning the ecology, conservation, management, design/planning, and sustainability of landscapes as coupled human-environment systems. Landscape ecology studies are characterized by spatially explicit methods in which spatial attributes and arrangements of landscape elements are directly analyzed and related to ecological processes.
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