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首页> 外文期刊>Forest Ecology and Management >Modeling below-ground biomass to improve sustainable management of Actaea racemosa, a globally important medicinal forest product
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Modeling below-ground biomass to improve sustainable management of Actaea racemosa, a globally important medicinal forest product

机译：对地下生物质进行建模以改善全球重要药用林产品Actaea racemosa的可持续管理

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Non-timber forest products, particularly herbaceous understory plants, support a multi-billion dollar industry and are extracted from forests worldwide for their therapeutic value. Tens of thousands of kilograms of rhizomes and roots of Actaea racemosa L., a native Appalachian forest perennial, are harvested every year and used for the treatment of menopausal conditions. Sustainable management of this and other wild-harvested non-timber forest products requires the ability to effectively and reliably inventory marketable plant components. However, few methods exist to estimate below-ground biomass (rhizomes and roots) based on above-ground metrics. To estimate the relationship of above-ground vegetation components to below-ground biomass, data from a long-term sustainable harvest study of A. racemosa was used to develop a predictive model for rhizome mass. Over 1000 plants were extracted from two sites in the Central Appalachian Mountains of Virginia. Measurements of plant height and canopy dimensions were matched with corresponding green weights of rhizomes and roots. A multi-staged process was used to fit a mixed effects model. A random effects structure was selected using Akaike's Information Criterion, while the fixed effects structure was simplified through backward selection using likelihood ratio tests. Over 500 plants were harvested from three neighboring sites to evaluate the effectiveness of the model in predicting below-ground biomass based on above-ground metrics. The relationships between above and below-ground biomass of plants from the sustainability study sites and the validation study sites were similar, indicating effectiveness of the model. Predicted values for the validation data were, on average, slightly larger than the observed values, indicating a small bias. The 95% prediction intervals computed from the model, however, covered the true values more than 95% of the time. This study demonstrates that estimating marketable rhizome biomass of native medicinal plants is feasible at a stand level. The model will serve as a valuable tool for inventorying forest products, allowing estimation of below-ground biomass based on above-ground metrics. Use of this tool will aid in developing effective inventory and management strategies for wild-harvested medicinal plants. Adaptation of this model to other species will encourage efforts toward sustainable use of non-timber forest products worldwide
机译：非木材林产品，特别是草本林下植物，支撑着数十亿美元的产业，并因其治疗价值而从全球森林中提取。每年收割成千上万公斤的Actaea racemosa L.（多年生的阿巴拉契亚森林）的根茎和根，用于治疗绝经。对这种和其他野生非木材林产品的可持续管理要求具备有效和可靠地库存可销售植物成分的能力。但是，很少有方法可以根据地上指标来估算地下生物量（根茎和根）。为了估计地上植被成分与地下生物量之间的关系，使用了来自总长青蒿的长期可持续收获研究的数据来建立根茎质量的预测模型。从弗吉尼亚中部阿巴拉契亚山脉的两个地点提取了1000多种植物。将植物高度和冠层尺寸的测量值与根茎和根的相应绿色重量相匹配。使用多阶段过程来拟合混合效果模型。使用Akaike的信息准则选择了随机效应结构，而使用似然比检验通过向后选择简化了固定效应结构。从三个相邻的地点收获了500多株植物，以评估该模型基于地上指标预测地下生物量的有效性。来自可持续性研究地点和验证研究地点的植物地上和地下生物量之间的关系相似，表明该模型的有效性。验证数据的预测值平均比观察值稍大，表明偏差很小。然而，根据模型计算出的95％预测间隔覆盖了超过95％的时间的真实值。这项研究表明，从标准立场上估计天然药用植物的可销售根茎生物量是可行的。该模型将作为库存林产品的宝贵工具，允许根据地上指标估算地下生物量。使用该工具将有助于为野生药用植物开发有效的库存和管理策略。将该模式适应其他物种将鼓励全世界为可持续利用非木材林产品而努力

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