Degradation of Dryland Vegetation Patchiness Through the Lens of Power-Law Relationships

IF 3.7 2区 农林科学 Q2 ENVIRONMENTAL SCIENCES Land Degradation & Development Pub Date : 2025-02-27 DOI:10.1002/ldr.5534
P. A. Cipriotti, G. R. Oñatibia, S. Pütz, M. R. Aguiar, T. Wiegand
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Abstract

Vegetation patchiness is a key characteristic of drylands and closely linked with their functioning. Deviations from pure power-law distributions of patch sizes have been suggested as indicators of degradation and early warning signals of approaching desertification thresholds. The general objective of our study is to evaluate the usefulness of patch-size distributions as indicators of vegetation degradation caused by grazing and drought. To achieve this, we utilized field data and data generated by individual-based simulation models to examine how vegetation patchiness changes in Patagonian drylands under different rainfall scenarios and grazing conditions. First, we compared patch-size distributions predicted by two models for semi-arid grass steppes and for arid shrub steppes under current rainfall conditions with field data from two grazing scenarios (ungrazed and overgrazed). Second, we used the models to simulate the long-term effects of grazing on vegetation patchiness under both drier and wetter conditions. Our field data revealed that the impact of grazing depends on aridity, with stronger effects observed in the semi-arid steppes than in the arid steppes. Our simulation results indicate that changes in rainfall regimes have a stronger effect on patch-size distributions than grazing. Wetter conditions increased the number of medium-to-large-sized patches in both steppes, regardless of grazing. Deviations from power-law distributions were not directly related to overgrazing and degradation; however, grazing and changes in rainfall caused systematic changes in the parameters of the power-law patch-size distributions, supporting their usefulness as one indicator in the assessment of degradation.

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从幂律关系看旱地植被斑块的退化
植被斑块是旱地的一个关键特征,与旱地的功能密切相关。人们认为,斑块大小偏离纯幂律分布是退化的指标和接近沙漠化阈值的早期预警信号。我们研究的总体目标是评估斑块大小分布作为放牧和干旱引起的植被退化指标的有效性。为了实现这一目标,我们利用实地数据和基于个体的模拟模型生成的数据来研究不同降雨情景和放牧条件下巴塔哥尼亚旱地植被斑块的变化。首先,我们比较了当前降雨条件下半干旱草原区和干旱灌丛草原区两种模型预测的斑块大小分布与两种放牧情景(未放牧和过度放牧)的野外数据。其次,我们利用这些模型模拟了在干旱和湿润条件下放牧对植被斑块的长期影响。我们的野外数据显示,放牧的影响取决于干旱程度,半干旱草原的影响强于干旱草原。我们的模拟结果表明,降雨制度的变化比放牧对斑块大小分布的影响更大。无论放牧与否,湿润的环境都增加了这两个草原中大型斑块的数量。偏离幂律分布与过度放牧和退化没有直接关系;然而,放牧和降雨的变化引起了幂律斑块大小分布参数的系统变化,支持了它们作为退化评估指标的有效性。
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来源期刊
Land Degradation & Development
Land Degradation & Development 农林科学-环境科学
CiteScore
7.70
自引率
8.50%
发文量
379
审稿时长
5.5 months
期刊介绍: Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.
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