Allometric relationships for the linear dimensions and biomass of Puerto Rican mangroves

IF 3.7 2区 农林科学 Q1 FORESTRY
Charles A. Price , Todd A. Schroeder , Benjamin Branoff , Skip J. Van Bloem , Nicole Pillot-Torres , Morgan H. Chaudry , Monica Papeş , Humfredo Marcano-Vega
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引用次数: 0

Abstract

Accurate biomass estimation is essential for carbon stock assessment and coastal ecosystem management. Despite decades of research and interest in Puerto Rican mangroves, we lack species specific allometric models with only 10 Rhizophora mangle individuals having been collected previously. To address this gap, we developed allometric equations for four mangrove species (Avicennia germinans, Laguncularia racemosa, Rhizophora mangle, and Conocarpus erectus) by harvesting and analyzing 152 individuals. Biomass estimation models were developed using standardized major axis (SMA) regression, incorporating DBH, tree height, crown diameter, and wet mass. Analysis of bivariate relationships between the linear dimensions and mass reveal common allometric slopes between species in 5 out of the 6 relationships. Local equations had a lower RMSE than global models, with DBH-based equations achieving the highest predictive accuracy (R² = 0.94), while crown diameter showed the weakest correlation (R² = 0.74). At the species level, DBH was the best predictor of both wet and dry mass in all cases examined. These results enhance biomass estimation accuracy for Puerto Rican mangroves, providing a critical tool for carbon stock assessments, conservation planning, and regional ecosystem management strategies.
  • Future allometric harvesting efforts should focus on filling gaps in existing data by sampling new areas and by increasing sample sizes to capture more variability.
  • When collecting allometric data, researchers should collect trees across the entire range of available sizes.
  • Collecting allometric data from a broad range of forest types and environments will help to understand the extent of morphological and allometric variability.
波多黎各红树林线性维数与生物量的异速生长关系
准确的生物量估算对碳储量评估和沿海生态系统管理至关重要。尽管对波多黎各红树林进行了数十年的研究和兴趣,但我们缺乏物种特定的异速生长模型,以前只收集了10个 Rhizophora mangle个体。为了解决这一差距,我们通过采集和分析152个个体,建立了四种红树林物种(Avicennia germinans, Laguncularia racemosa, Rhizophora mangle和Conocarpus erectus)的异速生长方程。采用标准化长轴(SMA)回归方法,结合胸径、树高、树冠直径和湿质量建立生物量估算模型。对线性维数和质量之间的二元关系进行分析,发现6种关系中有5种存在共同的异速生长斜率。局部方程的RMSE低于全局模型,其中基于dbh的方程的预测精度最高(R²= 0.94),而冠径的相关性最弱(R²= 0.74)。在物种水平上,胸径是所有情况下干湿质量的最佳预测因子。这些结果提高了波多黎各红树林生物量估算的准确性,为碳储量评估、保护规划和区域生态系统管理策略提供了重要工具。•未来异速生长收集工作应侧重于通过采样新区域和增加样本量来填补现有数据的空白,以捕获更多的可变性。•在收集异速生长数据时,研究人员应该收集整个可用尺寸范围内的树木。•从广泛的森林类型和环境中收集异速生长数据将有助于了解形态和异速生长变异的程度。
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来源期刊
Forest Ecology and Management
Forest Ecology and Management 农林科学-林学
CiteScore
7.50
自引率
10.80%
发文量
665
审稿时长
39 days
期刊介绍: Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world. A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers. We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include: 1. Clear connections between the ecology and management of forests; 2. Novel ideas or approaches to important challenges in forest ecology and management; 3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023); 4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript. The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.
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