植物生态学报

• •    下一篇

海南岛异速生长模型建立与泛热带通用异速生长模型适用性评价

邓钰栎, 谭雪莲, 许涵   

  1. 中国林业科学研究院热带林业研究所, 广东 510520 中国
    南京林业大学, 江苏 210037 中国
  • 收稿日期:2026-01-19 修回日期:2026-03-04
  • 基金资助:
    中国林业科学研究院基本科研业务费专项资金“海南热带雨林国家公园生态保护功能提升技术集成与示范”项目(CAFYBB2025ZA014-3)

Regional allometric models for Hainan Island and assessment of the applicability of the pantropical allometric model

Deng Yuyue, Tan Xuelian   

  1. Institute of Tropical Forestry, Chinese Academy of Forestry 510520, China
    , Nanjing Forestry University 210037, China
  • Received:2026-01-19 Revised:2026-03-04
  • Supported by:
    supported by National Non-profit Institute Research Grant of Chinese Academy of Forestry(CAFYBB2025ZA014-3)

摘要: 改进版的泛热带通用异速生长模型已广泛用于地上生物量估算,但在其构建过程中并未纳入中国典型热带地区——海南岛的热带雨林树木数据。为构建海南岛区域专用异速生长模型,并检验通用模型在研究区的适用性。本研究基于海南岛现存332株解析木(117种)地上及枝条、叶和主干生物量数据,采用主轴回归分别以胸径(D)、树高(H)及D²H为预测变量建立区域异速生长模型;结合物种水平或同属替代的木材密度,使用通用模型估算地上生物量,并在完整样本集(332株)和物种水平精确匹配样本集(92株)中比较实测与估算生物量的差异,以及分析生物量估算偏差随树木体型变化的规律;同时比较由实测与估算生物量拟合得到的区域模型特征。结果表明:(1)各区域模型拟合效果良好(R² > 0.5),其中地上与主干生物量模型拟合表现更佳(R² = 0.749–0.796),叶生物量模型拟合表现相对较弱(R² = 0.508–0.672)。(2)两类样本集中实测与估算地上生物量差异均不显著,但估算偏差与 D、H和D²H均呈显著负相关;且在同一预测变量下,物种水平样本集的回归斜率绝对值更大,表明大体型个体上存在生物量低估,且同属替代可能掩盖种间差异。(3)基于实测与估算生物量拟合的区域模型在斜率与截距上均无显著差异,模拟模型预测和外推能力优于实测模型。综上,泛热带通用模型在海南地区总体适用,但在实际应用中木材密度缺失与同属替代较为常见,且大体型普遍存在,现阶段应将本研究构建的海南岛区域专用异速生长模型作为生物量估算的优先参考。

关键词: 异速生长模型, 生物量估算, 通用模型, 适用性评估, 海南岛

Abstract: Aims To develop regional allometric models for Hainan Island and assess the applicability of the widely used pantropical allometric model in estimating aboveground biomass (AGB, kg) for Hainan rainforests. Methods We used a dataset of 332 trees (117 species) from Hainan Island, with biomass data from aboveground, foliage, branch, and trunk. Standardized major axis regression was applied using diameter at breast height (D), tree height (H), and D²H as predictors to develop the regional model. We also estimated AGB using the pantropical model with wood density values matched at the species or genus level. The differences between observed and simulated AGB were compared for both the full dataset (332 trees) and a species-matched subset (92 trees), and the relationship between estimation bias and tree size was analyzed. Important findings (1) The regional models showed good fit (R² > 0.5), with better performance for AGB and trunk biomass (R² = 0.749–0.796), and weaker performance for foliage biomass (R² = 0.508–0.672). (2) No significant differences were found between observed and simulated AGB in both sample sets. However, estimation bias was negatively correlated with D, H, and D²H. In the species-matched sample set, the regression slopes were steeper, indicating that the AGB of larger trees was underestimated and that genus-level wood density substitution masked interspecific differences. (3) The regional model fitted to both observed and simulated AGB showed no significant differences in slope and intercept, the model developed based on observed AGB showed better prediction and extrapolation capabilities compared to the model developed using simulated data. The pantropical allometric model is applicable in Hainan; however, its reliability is limited by missing wood density data and the prevalence of large trees. Therefore, the regional model developed here should be the preferred approach for AGB estimation in Hainan under the current data constraints.

Key words: Allometric model, biomass estimation, pantropical allometric model, applicability assessment, Hainan Island