Fire mitigates bark beetle outbreaks in serotinous forests.

IF 1.2 4区环境科学与生态学 Q4 ECOLOGY

Theoretical Ecology Pub Date : 2021-01-01 Epub Date: 2021-07-08 DOI:10.1007/s12080-021-00520-y

Peter C Jentsch, Chris T Bauch, Madhur Anand

引用次数: 5

Abstract

Bark beetle outbreaks and forest fires have imposed severe ecological damage and caused billions of dollars in lost resources in recent decades. The impact of such combined disturbances is projected to become more severe, especially as climate change takes its toll on forest ecosystems in the coming years. Here, we investigate the impact of multiple disturbances in a demographically heterogeneous tree population, using an age-structured difference equation model of bark beetle outbreaks and forest fires. We identify two dynamical regimes for beetle and fire dynamics. The model predicts that fire helps dampen beetle outbreaks not only by removing host trees but also by altering the demographic structure of forest stands. We show that a stand thinning protocol, which reduces the population size of the largest few juvenile classes by a small percentage, is able to significantly reduce beetle-induced tree mortality. Our research demonstrates one approach to capturing compound disturbances in a mathematical model.

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火可以减轻树皮甲虫在森林中的爆发。

近几十年来，树皮甲虫的爆发和森林火灾造成了严重的生态破坏，并造成了数十亿美元的资源损失。预计这些综合干扰的影响将变得更加严重，特别是在未来几年气候变化对森林生态系统造成损害的情况下。在这里，我们使用树皮甲虫爆发和森林火灾的年龄结构差分方程模型，研究了多种干扰对人口异质性树木种群的影响。我们确定了甲虫和火动力学的两种动力机制。该模型预测，火灾不仅通过清除宿主树木，而且通过改变森林林分的人口结构，有助于抑制甲虫的爆发。我们表明，林分间伐方案，将最大的几个幼类的种群大小减少一小部分，能够显著降低甲虫引起的树木死亡率。我们的研究展示了一种在数学模型中捕获复合干扰的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Theoretical Ecology 环境科学-生态学

CiteScore

3.30

自引率

6.20%

发文量

审稿时长

>12 weeks

期刊介绍： Theoretical Ecology publishes innovative research in theoretical ecology, broadly defined. Papers should use theoretical approaches to answer questions of ecological interest and appeal to and be readable by a broad audience of ecologists. Work that uses mathematical, statistical, computational, or conceptual approaches is all welcomed, provided that the goal is to increase ecological understanding. Papers that only use existing approaches to analyze data, or are only mathematical analyses that do not further ecological understanding, are not appropriate. Work that bridges disciplinary boundaries, such as the intersection between quantitative social sciences and ecology, or physical influences on ecological processes, will also be particularly welcome. All areas of theoretical ecology, including ecophysiology, population ecology, behavioral ecology, evolutionary ecology, ecosystem ecology, community ecology, and ecosystem and landscape ecology are all appropriate. Theoretical papers that focus on applied ecological questions are also of particular interest.