从物种分布模型预测当前和未来自然对人类贡献的空间格局

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
P.L. Rey , A. Adde , N. Külling , B. Petitpierre , V. Vittoz , A. Lehmann , A. Guisan
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引用次数: 0

摘要

气候和生物多样性的退化是人类面临的两大危机,需要迅速采取行动。这两种危机在一定程度上相互关联,并容易威胁到大自然对人类的贡献。因此,为实现可持续的未来,必须找到有效的战略来保护生物多样性和非传染性生物的关键地区。各种尺度的研究已经使用物种分布和NCP地图来确定保护这两个组成部分的最佳区域。然而,关于物种分布变化如何影响ncp的评估仍然缺乏。在此,基于最近建立的2000多种本地脊椎动物和气管植物物种与17种ncp之间的关系表,我们提出并说明了一种新的方法,可以通过单个物种预测当前和未来四种时间情景来预测瑞士西部阿尔卑斯地区ncp的空间分布。对不同ncp及其类别的预测显示出不同程度的空间相关性,一些ncp在不同的时间情景中显示出非常不同的模式。预计未来每种时间情景的NCP值都将总体下降。结果表明,亚高山和高寒带的ncp在高海拔地区不会增加,而在沿河谷的山地带中海拔地区则保持较高的ncp。我们的研究强调了在生物多样性评估中直接通过物种预测来预测NCP的潜力,从而更好地理解和预测物种对NCP和人类福祉的贡献方式。我们提出的基于物种的NCP预测方法是改善空间保护规划的重要新资产,但这种物种-NCP表的开发应继续进行,并编制更大的数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predicting current and future spatial patterns of nature’s contributions to people from species distribution models

Predicting current and future spatial patterns of nature’s contributions to people from species distribution models
The degradation of climate and biodiversity are two major crises humans are facing and for which rapid action is needed. Both crises are partially linked and susceptible to threaten nature’s contribution to peoples (NCPs). Hence, it is essential to find efficient strategies for protecting key areas for both biodiversity and NCPs for a sustainable future. Studies at various scales have already used species distributions and NCP maps to identify the most optimal areas for safeguarding both components. Yet, an evaluation of how changes in species distributions could affect NCPs was still lacking. Here, based on a recently established table of relationships between more than 2,000 native vertebrate and tracheophyte species and 17 NCPs, we propose and illustrate a novel approach to predict the spatial distribution of NCPs from individual species predictions for the current period and four future time-scenarios in the Western Swiss Alps. Predictions of the different NCPs and their categories show varying degrees of spatial correlation, with some NCPs revealing very distinct patterns across time-scenarios. An overall decrease of NCP value is predicted for each future time-scenario. According to our results, NCPs would not increase at higher elevations in the subalpine and alpine belts and would remain high at mid-elevations in the montane belt along river valleys. Our study highlights the potential to predict NCPs directly from species predictions in biodiversity assessments, allowing a better understanding and a better anticipation of the way species contribute to NCP and human well-being. The species-based NCP prediction approach we propose constitutes a major new asset to improve spatial conservation planning, but the development of such species-NCP tables should continue, and larger databases be compiled.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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