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Internet-Based Development of Medicinal Plants Geospatial System in Phu Phan Forest Complex: Northeastern Thailand

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Internet-Based Development of Medicinal Plants Geospatial System in Phu Phan Forest Complex: Northeastern Thailand Kasetsart J. (Nat. Sci.) 48 : 227 - 240 (2014) Internet-Based Development of Medicinal Plants Geospatial System in Phu Phan Forest Complex: Northeastern Thailand Rutchanee Chantraket1,2,*, Pornchai Uttaruk3, Usa Klinhom3, David L. Skole4, Jay H. Samek4 and Oscar Castaneda4 ABSTRACT This new work developed tools for the management and protection of medicinal plants or herbs in their native habitat in the Phu Phan forest complex, northeastern Thailand. The biological diversity of medical plants was analyzed as well as their distribution and status, and a geoinformatics database was developed including distribution maps to be used for the management of medicinal plants in the Phu Phan forest complex, based on the Local Biodiversity Survey and Data Collection Project conducted by the Ministry of Natural Resources and Environment from July 2006 to January 2009. The 49 permanent sampling plots were established in four provinces. The survey data were used to develop a database for plant management and the ArcGIS 10 Desktop and ArcGIS 10 for Server software packages developed by ESRI were used to develop the geoinformatics database. As a result, the Internet-based Geoinformatics Database of Thai Medicinal Plants has been established as a reference center covering 429 medicinal plant species belonging to 102 families. Of these species, 50 were in the family Leguminosae and Shorea obtusa Wall. ex Blume was the most dominant species with the highest importance value index. The Shannon-Wiener species index, species diversity index and evenness index were 3.8377, 46.42 and 0.7390, respectively, with 16 species classified on the International Union for Conservation of Nature Red List of Threatened Species. The geospatial database consisted of 32 layers of basic, environmental and survey data, which can be accessed via the Internet to search for large trees and medicinal plants. The database details of plants include scientific names, common names, local names, morphological characteristics, ethno-medicinal properties, other uses, references, images and distribution maps. The results of this study can be used as basic information and as a model for developing other tools for further planning and management of medicinal plants including their habitat in other regions of Thailand. Keywords: geoinformatics; medicinal plant; biodiversity; Red List; threatened species 1 Doctor of Philosophy in Biology Program, Faculty of Science, Mahasarakham University, Maha Sarakham 44150, Thailand. 2 Bureau of Technical Services, Department for Development of Thai Traditional and Alternative Medicine, Ministry of Public Health, Nonthaburi 11000, Thailand. 3 Faculty of Science, Mahasarakham University, Maha Sarakham 44150, Thailand. 4 Department of Forestry, Michigan State University, East Lansing, MI 48823, USA. * Corresponding author, e-mail: [email protected] Received date : 05/06/13 Accepted date : 23/12/13 228 Kasetsart J. (Nat. Sci.) 48(2) INTRODUCTION species) and the Protection and Promotion of Thai Traditional Medicine Wisdom Act (1999) for the Over the last four decades, biodiversity preparation of plans for medicinal plant protection has been declining rapidly and has continued to as well as the preservation of natural ecosystems affect business growth with 34% of Asia-Pacific and biological diversity of native medicinal plants Chief Executive Officers (CEOs) and 53% of so that they are not affected by human activities. Latin American CEOs expressing concern about Over the past half decade, many Thai the impacts of biodiversity loss on their business government agencies responsible for biodiversity growth prospects (WWF International, 2010). have developed database systems to increase Approximately 1 acre (0.40 ha) of tropical the efficiency of information management, rainforest has been reported to be lost per second conservation and sustainable use of biological due to human activities (Orr, 1991). A total of resources, in compliance with the Convention on 40,177 species of plants and animals have been Biological Diversity. For example, a geospatial reported to be threatened worldwide of which database system has been developed for managing 16,119 species in tropical rainforests were local biodiversity (Ministry of Natural Resources likely to become extinct (International Union and Environment, 2008; 2009), as well as the for Conservation of Nature, 2006). Tropical implementation of biological resources and rainforests with a rich variety of species form 90% traditional knowledge for the management and of all species found in the world, on about 7% of use of biodiversity and a networking system of the the world's total land area and Thailand is among national biodiversity database and network-centric the top 20 countries in the world with the highest data links with other agencies (Biodiversity-Based biodiversity (Ministry of Natural Resources and Economy Development Office, 2007). From 2006 Environment, 2008). Over the last four decades, to 2008, the Ministry of Natural Resources and in Asia, Thailand has had the second highest loss Environment of Thailand implemented the Local of biological resources (Napompeth, 2000); the Biodiversity Survey and Data Collection (LBSDC) total forest area has declined from 27.36 million Project to collect data on the biodiversity of animals ha in 1961 (53.3%) to 1.29 million ha (25.3%) in and plants in 19 major forests in 317 subdistricts 1998 (Rueanpanit, 2005; Suntisuk, 2006), as a in all four regions of the country; while the result of national economic development, which Government of the Philippines also launched the represents an average drop of 0.38 million ha per Community-Based Forest Management (CBFM) year (Department of Forestry, 2001). Project to promote the assessment of biodiversity As a result of the loss of tropical rainforest (Pasa, 2011). However for Thailand, there has been ecosystems, plants and animals are likely to be a lack of data analysis and the mapping of at-risk threatened and endangered. Thailand has realized medicinal plants for use in tracking changes in the importance of the rapid loss of biological vegetation with geographic information systems diversity as its plant registration program reported for the specific risk management of such plants. that 1,131 species of plants were under threat in Such information is important for the preparation 2005 (Pooma et al., 2005), while in China, 302 of a management plan to protect endangered or plant species were threatened (Zhang and Ma, threatened plant species. 2008). Consequently, Thailand has enacted two Therefore, the current study selected the laws with unique (sui generis) principles: the Plant Phu Phan forest complex as the prototype because Variety Protection Act (1999) for the protection its area is minimal compared to the other forest of significant plant species including three main groups in Northeastern Thailand. The Phu Phan groups (new species, native species and wild forest covers an area of approximately 168,834 Kasetsart J. (Nat. Sci.) 48(2) 229 km2 (Rueanpanit, 2005), can be accessed and in Figure 1. The climate of the Phu Phan forest used by local residents in 89 subdistricts of seven complex contrasts between rainy and dry seasons. provinces (Ministry of Natural Resources and On average, the annual rainfall is 1,050–1,470 mm Environment, 2008; 2009) and is considered to be with 75–97 rainy days from May through October vulnerable. Thus, a geoinformatics database was and the average temperature is 25–33 °C in the developed for the analysis of the biodiversity status rainy season, 10–25 °C in winter and 30–45 °C in of medicinal plants as well as the distribution of summer (Suntisuk, 2006). The weather is dry in medicinal plants, for use as a tool for preparing winter, but humid in the rainy season and summer plant management, monitoring and conservation (Rueanpanit, 2005). Topographically, there is a plans, including the protection of medicinal plants plateau with mountains to the west and south with and habitats. It will also help to detect changes slopes of 0% to over 35% with an altitudinal range that threaten the country’s biodiversity. In the long of 50 to 1,300 m above mean sea level (Rueanpanit, term, the geospatial database is a powerful tool for 2005; Geoinformatics Center to Develop the the analysis and management of spatial data and Northeast, 2006). Generally, the forests are dry for planning as well as for tracking changes in the evergreen, mixed deciduous and dry dipterocarp area (Choowaew, 1999). as classified in Table 1 (Chantaranothai, 2007). MATERIALS AND METHODS System architecture design and development of geospatial databases via the Internet The study area Design of the system architecture The study data were derived from the A geographic information system LBSDC project, which was undertaken in the Phu (GIS) accessed via the Internet was designed on Phan forest complex in northeastern Thailand, the server center at the Global Observatory for covering parts of four provinces: Nakhon Phanom, Ecosystem Services, Department of Forestry, Mukdahan, Kalasin and Sakon Nakhon (18° 27′ Michigan State University, MI, USA to provide N, 14° 7′ S, 105° 37′ E, 100° 54′ W) as shown data for decision-making on the management and Table 1 Data on provinces, districts, subdistricts, villages, forest plots, forest types in the area studied. Number Number Number Number Area Province of of of of Forest type (ha) districts subdistricts villages plots Kalasin 2 3 8 12 Dry dipterocarp 6,505.12 Nakhon Phanom 1 1 4 4 Dry dipterocarp 17.60 Mukdahan 4 5 21 17 Dry dipterocarp 3,010.40 3 Dry evergreen 174.88 1 Mixed deciduous 161.28 1 Mixed plantation 221.92 Sakon Nakhon 3 3 12 7 Dry dipterocarp 69.44 3 Dry evergreen 43.36 Source: Modified from the final report of the survey on biodiversity at the local level, Phu Phan forest, 2008. 230 Kasetsart J. (Nat. Sci.) 48(2) Figure 1 Map of the study area, including the location of the 49 Phu Phan forest plots in the four provinces of northeastern Thailand.
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