印度尼西亚帝汶岛森林和社区人工林中檀香再生的结构模型

Yoseph Nahak Seran, S. Sudarto, L. Hakim, E. Arisoesilaningsih
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引用次数: 2

摘要

陈永平,苏达托,李建平,李建平。2018。印度尼西亚帝汶岛森林和社区人工林中檀香再生的结构模型。热带旱地2:41 -47。檀香(Santalum album L.)是NTT地区重要的林产品,是世界特有树种,具有很高的经济价值。本研究旨在确定并建立东帝汶登加西拉丹县(TTS)和东帝汶登加乌塔拉县(TTU)森林和社区人工林中檀香再生的结构模型。本研究采用目的抽样法对8个观测站87个样地进行植被分析。样地面积为20 × 20 m2(树木)、10 × 10 m2(杆)、5 × 5 m2(树苗)和2 × 2 m2(幼苗)。野外观测数据包括檀香平均种群规模(以乔木、杆子、树苗和苗期为形式)、檀香生境植被数据(包括树木财富指数、多样性指数、个体数和檀香寄主多样性指数数据)。地理因子如海拔和坡度,非生物因子如土壤有机质、土壤pH和土壤电导率也被记录下来。气候数据包括干旱月数和降雨量。檀香再生资料包括檀香活力、病虫害和种子数量。次要资料包括NTT省在姑邦的BMKG气候资料(十年时间)。利用这些数据作为潜在变量(地理、土壤、气候、人口、植被和更新)的指标。使用Warp偏最小二乘法(WarpPLS 6.0)的结构建模对所得数据进行描述性分析和多元统计。结果表明,除寄主多样性外,大多数指标对编制的6个潜在变量均有显著影响。部分指标显著或极显著影响潜在变量,15项指标显著构成潜在变量。得到的结构模型相关性很强,Q2预测的相关值为96,65%,因此本研究提出的结构模型对影响檀香再生的因素具有很强的相关性和较高的预测价值。因此,这一模式是可行的或适当的,可以作为建议,在努沙登加拉帖木儿帝汶岛西部森林和社区种植园的檀香发展框架中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural model of sandalwood (Santalum album) regeneration in the forest and community plantation in Timor Island, Indonesia
Seran YN, Sudarto, Hakim L, Arisoesilaningsih E. 2018. Structural model of sandalwood (Santalum album) regeneration in the forest and community plantation in Timor Island, Indonesia. Trop Drylands 2: 41-47. Sandalwood (Santalum album L.) is a very important forest product in NTT, an endemic species in the world with a high economic value.. This study aimed to identify and produce a structural model of sandalwood regeneration in both the forests and the community plantation in the Regency of Timor Tengah Selatan (TTS) and Timor Tengah Utara (TTU). The method used in this research was vegetation analysis by purposive sampling method on 8 observation stations with 87 plots. The plot size was 20x20 m2 (trees), 10x10 m2 (poles), 5x5 m2 (saplings), and 2x2 m2 (seedlings). Data observed in the field included the mean sandalwood population size in the forms of trees, poles, saplings and seedlings phase, vegetation data in sandalwood habitat which included tree wealth index, diversity index, number of individuals and sandalwood host diversity index data. Geographical factors such as altitude and slope, and abiotic factors such as soil organic matter, soil pH and soil conductivity were also recorded. Climate data included the number of dry months and rainfall. Sandalwood regeneration data included sandalwood vitality, pests and diseases and the number of seeds. Secondary data included climate data (ten years time) obtained from BMKG of NTT Province in Kupang. These data were used as the indicators of the latent variables (six variables) which consisted of geography, soil, climate, population, vegetation, and regeneration. Obtained data were subjected to both descriptive analysis and multivariate statistics with structural modeling of Warp Partial Least Square (WarpPLS 6.0). The results showed that most of the proposed indicators significantly influenced the compiled six latent variables except the host diversity. Some indicators significantly or highly significantly affected the latent variable with 15 indicators that significantly composed the latent variable. The resulting structural model is very relevant and has a relevance value of Q2 prediction of 96,65% so that the structural model proposed in this study has very relevant and high predictive value on factors that influence sandalwood regeneration. Therefore, this model is feasible or appropriate to be used as recommendations in the framework of sandalwood development in the forest and the community plantation in the West part of Timor Island, Nusa Tenggara Timur.
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