E. Prasetyo, F. Setiawan, Widiyatno, M. Na’iem, Haruka Ohashi, Y. Tsumura, Ikutaro Tsuyama, T. Matsui
{"title":"Predicting Tectona grandis Suitability to Evaluate Potential Plantation Areas under Future Climate on Java, Indonesia","authors":"E. Prasetyo, F. Setiawan, Widiyatno, M. Na’iem, Haruka Ohashi, Y. Tsumura, Ikutaro Tsuyama, T. Matsui","doi":"10.6090/jarq.56.269","DOIUrl":null,"url":null,"abstract":"Indonesia, mainly Java, is home to the second largest area of Tectona grandis (teak) plantations globally; however, despite their importance, little is known about the impact of climate change on this tree species. Here, species distribution models were developed using estimated site index values of T. grandis on Java as the response variable, with seven bioclimatic variables and three soil characteristics as predictor variables. Three statistical approaches—generalized linear, general additive, and random forest models—were examined. Two global climate models with two representative concentration pathways (2.6 and 8.5) and time periods (the 2050s and 2070s) were also used to compare the effect of predicted future changes in the site index. Of the three models, random forest model showed the best fit, with precipitation as the important predictor of T. grandis growth followed by temperature. The model predicted that 12.6% of Java Island would experience an increase in climatic suitability, with northeast of Banten Province, northeast and northwest of Central Java Province, and northwest of East Java Province becoming the most suitable for T. grandis growth in both the 2050s and 2070s. These findings suggest that certain areas should be prioritized for the development of future T. grandis plantations on Java.","PeriodicalId":14700,"journal":{"name":"Jarq-japan Agricultural Research Quarterly","volume":"1 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jarq-japan Agricultural Research Quarterly","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.6090/jarq.56.269","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Indonesia, mainly Java, is home to the second largest area of Tectona grandis (teak) plantations globally; however, despite their importance, little is known about the impact of climate change on this tree species. Here, species distribution models were developed using estimated site index values of T. grandis on Java as the response variable, with seven bioclimatic variables and three soil characteristics as predictor variables. Three statistical approaches—generalized linear, general additive, and random forest models—were examined. Two global climate models with two representative concentration pathways (2.6 and 8.5) and time periods (the 2050s and 2070s) were also used to compare the effect of predicted future changes in the site index. Of the three models, random forest model showed the best fit, with precipitation as the important predictor of T. grandis growth followed by temperature. The model predicted that 12.6% of Java Island would experience an increase in climatic suitability, with northeast of Banten Province, northeast and northwest of Central Java Province, and northwest of East Java Province becoming the most suitable for T. grandis growth in both the 2050s and 2070s. These findings suggest that certain areas should be prioritized for the development of future T. grandis plantations on Java.
期刊介绍:
The Japan Agricultural Research Quarterly (JARQ) is a publication of the Japan International Research Center for Agricultural Sciences (JIRCAS), which provides readers overseas with the latest information on key achievements and developments in agricultural research in Japan, with the expectation that this information would contribute to the agricultural development of countries in tropical and subtropical regions.