生态系统:研究生态系统分类学的新方法

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Bruno Senterre , Porter P. Lowry II , Ehoarn Bidault , Tariq Stévart
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引用次数: 2

摘要

在过去几年中,世界自然保护联盟评估物种灭绝风险的红色名录方法已被改编为生态系统红色名录方法。这一努力面临着几个重要的挑战,包括如何定义适用红色名录标准的生态系统类型,以及如何以开放、透明和标准化的方式管理生态系统地理分布的信息,将制图、类型学和实地研究联系起来。我们提出了一种全新的方法,它与现有的生态系统类型学在三个重要方面有所不同:(1)提供了一种概念化生态系统类型的新方法;(2)提供了一种明确的方法来交流概念化生态系统及其如何被限制;(3)开发管理由此产生的概念模型的技术工具。首先,生态系统类型是通过使用模块化(在给定尺度上研究生态因子的组合)和分层(涉及相对时空尺度,其中局部/站点梯度依赖于生物气候/区域梯度)的方法来研究生物地理气候梯度来定义的。这样就避免了不相互排斥的分类问题,并使所有类型的生态系统能够分类,例如包括在超潮湿的热带山区的岩石露头上的沼泽。其次,生态系统物种的名称与由“类型地点”或“生物类型”定义的命名类型相关联,采用一种原则,即使随附的名称和描述是部分或不完整的,或者根据另一位作者的解释,生态系统类型的界限过于宽泛,也能明确给定作者对生态系统类型的概念。生态系统名称的结构是基于一组标准化的字符和字符状态的描述性诊断。因此,这种便于命名和比较生态系统界限的类型学方法在本质上是真正的分类学方法。第三,为了促进这里提出的概念方法的使用和应用,我们将其转化为一个实用的工具,通过开发一个基于智能手机的系统来收集数据,用于观察和描述野外的虚拟生态系统标本,以及“生物”数据库,该数据库管理生态系统数据,并使用一个开放的系统来跟踪同义词,该系统需要为生物类型分配决定性因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecosystemology: A new approach toward a taxonomy of ecosystems

Over the last several years, the IUCN Red List approach for assessing the risk of extinction faced by species has been adapted into a Red List of Ecosystems methodology. This endeavor faces several important challenges, including how to define the types of ecosystems to which the Red List criteria are applied, and how to manage information on the geographic distribution of ecosystems in an open, transparent, and standardized manner linking mapping, typology, and field studies. We propose a fundamentally novel approach that differs from currently available ecosystem typologies in three important aspects by (1) offering a new way of conceptualizing types of ecosystems, (2) providing an explicit method for communicating the conceptualized ecosystems and how they are circumscribed, and (3) developing technical tools for managing the resulting conceptual model. Firstly, ecosystem types are defined by studying biogeoclimatic gradients using an approach that is both modular (in which combinations of ecological factors are studied at a given scale) and hierarchical (involving relative spatial and temporal scales in which local/site gradients are dependent on bioclimatic/regional gradients). This avoids the problem of classes that are not mutually exclusive and enables the classification of all types of ecosystems, including for example marshes on rocky outcrops in superhumid tropical montane areas. Secondly, the names of ecosystem species are linked to a nomenclatural type defined by a ‘type site’ or ‘biotype’, adopting a principle that makes clear a given author's notion of an ecosystem type even if the accompanying name and description are partial or imperfect, or when the ecosystem type is delimited too broadly according to the interpretation of another author. Ecosystem names are structured as a descriptive diagnosis based on a standardized set of characters and character states. This typological approach for facilitating the naming and comparison of ecosystem circumscriptions is thus truly taxonomic in nature. Thirdly, in order to facilitate the use and application of the conceptual approach presented here, we translate it into a practical tool by developing a smartphone-based system to collect data for observing and describing virtual ecosystem specimens in the field, along with the "Bio" database, which manages ecosystem data and also enables tracking synonymies using an open system that entails assigning determinavits to biotypes.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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