Research Center for Applied Botany, National Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.
Research Center for Ecology and Ethnobiology, National Research and Innovation Agency, Republic of Indonesia, Bogor, West Java, Indonesia.
PeerJ. 2024 Apr 1;12:e17210. doi: 10.7717/peerj.17210. eCollection 2024.
Essential oils are natural products of aromatic plants with numerous uses. Essential oils have been traded worldwide and utilized in various industries. Indonesia is the sixth largest essential oil producing country, but land degradation is a risk to the continuing extraction and utilization of natural products. Production of essential oil plants on degraded lands is a potential strategy to mitigate this risk. This study aimed to identify degraded lands in Indonesia that could be suitable habitats for five wild native essential oil producing plants, namely (L.) Miq., L., L., (Blume) Figlar, and var. (Blume) Figlar & Noot using various species distribution models.
The habitat suitability of these species was predicted by comparing ten species distribution models, including Bioclim, classification and regression trees (CART), flexible discriminant analysis (FDA), Maxlike, boosted regression trees (BRT), multivariate adaptive regression splines (MARS), generalized linear models (GLM), Ranger, support vector machine (SVM), and Random Forests (RF). Bioclimatic, topographic and soil variables were used as the predictors of the model habitat suitability. The models were evaluated according to their AUC and TSS metrics. Model selection was based on ranking performance. The total suitable area for five native essential oil producing plants in Indonesia's degraded lands was derived by overlaying the models with degraded land locations.
The habitat suitability model for these species was well predicted with an AUC value >0.8 and a TSS value >0.7. The most important predictor variables affecting the habitat suitability of these species are mean temperature of wettest quarter, precipitation seasonality, precipitation of warmest quarter, precipitation of coldest quarter, cation exchange capacity, nitrogen, sand, and soil organic carbon. has the largest predicted suitable area, followed by , , var. , and . The overlapping area between predictive habitat suitability and degraded lands indicates that the majority of degraded lands in Indonesia's forest areas are suitable for those species.
The degraded lands predicted as suitable habitats for five native essential oil producing plants were widely spread throughout Indonesia, mostly in its main islands. These findings can be used by the Indonesian Government for evaluating policies for degraded land utilization and restorations that can enhance the lands' productivity.
精油是芳香植物的天然产物,具有多种用途。精油已在全球范围内交易,并在各个行业中得到利用。印度尼西亚是第六大精油生产国,但土地退化对继续提取和利用天然产品构成了风险。在退化土地上生产精油植物是减轻这种风险的一种潜在策略。本研究旨在利用各种物种分布模型,确定印度尼西亚退化土地中适合五种野生原生精油生产植物生长的适宜栖息地,这五种植物分别为 (L.)Miq.、 L.、 L.、 (Blume)Figlar 和 var. (Blume)Figlar & Noot。
通过比较十种物种分布模型,包括生物气候、分类和回归树(CART)、灵活判别分析(FDA)、Maxlike、增强回归树(BRT)、多元自适应回归样条(MARS)、广义线性模型(GLM)、Ranger、支持向量机(SVM)和随机森林(RF),来预测这些物种的栖息地适宜性。生物气候、地形和土壤变量被用作模型栖息地适宜性的预测因子。根据 AUC 和 TSS 指标对模型进行评估。根据排名表现进行模型选择。通过将模型与退化土地位置叠加,得出印度尼西亚退化土地上五种原生精油生产植物的总适宜面积。
这些物种的栖息地适宜性模型预测效果良好,AUC 值>0.8,TSS 值>0.7。影响这些物种栖息地适宜性的最重要预测变量是最温暖季度的平均温度、降水季节性、最温暖季度的降水、最寒冷季度的降水、阳离子交换能力、氮、砂和土壤有机碳。 具有最大的预测适宜面积,其次是 、 、 var. 、和 。预测栖息地适宜性与退化土地的重叠区域表明,印度尼西亚森林地区的大部分退化土地都适合这些物种。
预测为五种原生精油生产植物适宜栖息地的退化土地在印度尼西亚广泛分布,主要在其主要岛屿上。印度尼西亚政府可以利用这些发现来评估退化土地利用和恢复政策,以提高土地的生产力。