Simple ecological indicators benchmark regeneration success of Amazonian forests

IF 8.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Communications Earth & Environment Pub Date : 2024-12-20 DOI:10.1038/s43247-024-01949-9
André L. Giles, Juliana Schietti, Milena F. Rosenfield, Rita C. Mesquita, Daniel Luis Mascia Vieira, Ima C. G. Vieira, Lourens Poorter, Pedro H. S. Brancalion, Marielos Peña-Claros, João Siqueira, Luis Oliveira Junior, Mário Marcos do Espírito-Santo, Priscila Sanjuan de Medeiros Sarmento, Joice N. Ferreira, Erika Berenguer, Jos Barlow, Fernando Elias, Henrique Luis Godinho Cassol, Richarlly C. Silva, Sabina Cerruto Ribeiro, Natália Medeiros, André B. Junqueira, Paulo Massoca, Marciel Jose Ferreira, Markus Gastauer, Leandro V. Ferreira, Danilo Roberti Alves de Almeida, Luiz E. O. C. Aragão, Catarina C. Jakovac
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Abstract

Natural regeneration of Amazon forests offers a promising strategy to mitigate forest loss and advance the goals of the UN Decade on Ecosystem Restoration. However, the vast variability in regeneration rates across environmental gradients and over time poses considerable challenges for assessing regeneration success and ecosystem services provision in human-modified landscapes. Here we compiled 448 plots from forest regeneration in the Amazon to investigate the drivers of regrowth capacity and identify robust ecological indicators. By modeling optimal successional trajectories, we estimated reference values for vegetation structure, diversity, and functioning. After 20 years, successful regeneration should reach a minimum basal area of 14 m². ha−¹, at least 34 tree species per 100 individuals, a structural heterogeneity index of 0.27, and 123 Mg.ha−¹ of aboveground biomass. These straightforward indicators and reference values provide a foundational framework for governments and practitioners to assess success and establish targets for Amazon restoration efforts. Optimal regeneration success in Amazonian forests is mapped by simple ecological indicators, providing reference values for measuring restoration success across successional stages based on a large compiled dataset on forest regeneration.

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亚马逊森林的自然再生为减少森林损失和推进联合国生态系统恢复十年的目标提供了一个前景广阔的战略。然而,不同环境梯度和不同时期的再生率差异巨大,这给评估人类改造景观中的再生成功率和生态系统服务提供情况带来了巨大挑战。在此,我们汇编了亚马逊森林再生的 448 个地块,以研究再生能力的驱动因素并确定可靠的生态指标。通过模拟最佳演替轨迹,我们估算出了植被结构、多样性和功能的参考值。20 年后,成功再生的植被基部面积至少应达到 14 m².ha-¹,每 100 个个体中至少有 34 个树种,结构异质性指数为 0.27,地上生物量为 123 Mg.ha-¹。这些简单明了的指标和参考值为政府和从业人员评估亚马逊恢复工作的成功与否并确定目标提供了一个基础框架。亚马逊森林的最佳再生成功率是通过简单的生态指标绘制出来的,并根据大量汇编的森林再生数据集为衡量各演替阶段的恢复成功率提供了参考值。
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来源期刊
Communications Earth & Environment
Communications Earth & Environment Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
8.60
自引率
2.50%
发文量
269
审稿时长
26 weeks
期刊介绍: Communications Earth & Environment is an open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of the Earth, environmental and planetary sciences. Research papers published by the journal represent significant advances that bring new insight to a specialized area in Earth science, planetary science or environmental science. Communications Earth & Environment has a 2-year impact factor of 7.9 (2022 Journal Citation Reports®). Articles published in the journal in 2022 were downloaded 1,412,858 times. Median time from submission to the first editorial decision is 8 days.
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