木本植物入侵的空间显式模型：2013年至2022年发布的模型综述

IF 2.6 3区环境科学与生态学 Q2 ECOLOGY

Ecological Modelling Pub Date : 2025-03-19 DOI:10.1016/j.ecolmodel.2025.111095

Miranda R. Peterson, Hsiao-Hsuan Wang, William E. Grant

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引用次数: 0

摘要

草原约占地球陆地面积的三分之一，许多草原因木本植物的入侵而退化。各种空间显式模拟模型已被开发用于研究木本植物入侵的不同方面。在这项研究中，我们回顾了2013年至2022年发表的木本植物入侵的空间显式模型。我们描述了这些模型的命名法、重点地理区域、时空尺度、目的、起源和关键过程。然后，我们总结了我们的研究结果，并就空间显式模型在代表木本植物入侵的关键因素和过程中的重要性提出了一些看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Spatially explicit modelling of woody plant encroachment: A review of models published from 2013 through 2022

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Spatially explicit modelling of woody plant encroachment: A review of models published from 2013 through 2022

Grasslands cover approximately one-third-of the earth's land area, and many have been degraded by woody plant encroachment. A variety of spatially explicit simulation models have been developed to investigate different aspects of woody plant encroachment. In this study, we review the spatially explicit models of woody plant encroachment published from 2013 through 2022. We characterize the models regarding their nomenclature, focal geographical area, spatial and temporal scales, purpose, origin, and key processes. We then summarize our findings and provide some observations regarding the importance of spatially explicit models for representing the key factors and processes influencing woody plant encroachment.

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来源期刊

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/).