气候变化领域集成服务门户(CCPortal): Spatial habitat suitability prediction of essential oil wild plants on Indonesia's degraded lands

CCPortal

DOI	10.7717/peerj.17210
	Spatial habitat suitability prediction of essential oil wild plants on Indonesia's degraded lands
	Renjana, Elga; Firdiana, Elok Rifqi; Angio, Melisnawati H.; Ningrum, Linda Wige; Lailaty, Intani Quarta; Rahadiantoro, Apriyono; Martiansyah, Irfan; Zulkarnaen, Rizmoon; Rahayu, Ayyu; Raharjo, Puguh Dwi; Abywijaya, Ilham Kurnia; Usmadi, Didi; Risna, Rosniati Apriani; Cropper, Wendell P., Jr.; Yudaputra, Angga
发表日期	2024
ISSN	2167-8359
起始页码	12
卷号	12
英文摘要	Background. 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 Acronychia pedunculata (L.) Miq., Baeckea frutescens L., Cynometra cauliflora L., Magnolia montana (Blume) Figlar, and Magnolia sumatrana var. glauca (Blume) Figlar & Noot using various species distribution models. Methods. 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. Results. 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. C. cauliflora has the largest predicted suitable area, followed by M. montana, B. frutescens, M. sumatrana var. glauca, and A. pedunculata. 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. Conclusion. 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.
英文关键词	Degraded lands; Essential oils; Habitat suitability; Native plants; Species distribution models
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001196015400001
来源期刊	PEERJ
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/305845
作者单位	University Brunei Darussalam; Bogor Agricultural University; State University System of Florida; University of Florida
推荐引用方式 GB/T 7714	Renjana, Elga,Firdiana, Elok Rifqi,Angio, Melisnawati H.,et al. Spatial habitat suitability prediction of essential oil wild plants on Indonesia's degraded lands[J],2024,12.
APA	Renjana, Elga.,Firdiana, Elok Rifqi.,Angio, Melisnawati H..,Ningrum, Linda Wige.,Lailaty, Intani Quarta.,...&Yudaputra, Angga.(2024).Spatial habitat suitability prediction of essential oil wild plants on Indonesia's degraded lands.PEERJ,12.
MLA	Renjana, Elga,et al."Spatial habitat suitability prediction of essential oil wild plants on Indonesia's degraded lands".PEERJ 12(2024).