Stand composition and structure of Rubroshorea curtisii in a lowland Dipterocarp remnant forest of Bukit Tiban, Riau Islands, Indonesia

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Abstract. Susilowati A, Rachmat HH, Anna N, Elfiati D, Dwiyanti FG, Kamiya K, Alawi F, Wijaya K, Ginting IM. 2025. Stand composition and structure of Rubroshorea curtisii in a lowland Dipterocarp remnant forest of Bukit Tiban, Riau Islands, Indonesia. Biodiversitas 26: 4793-4804. Rubroshorea curtisii is an ecologically and commercially valuable Dipterocarpaceae species native to the Malay Peninsula, Peninsular Thailand, and northern Borneo, but in Indonesia its distribution is restricted to the Riau Islands. Habitat disturbances in this area directly threaten the species’ persistence. This study assessed the stand composition, structure, and floristic diversity of R. curtisii in Bukit Tiban Protected Forest, Batam Island, Riau Islands. Vegetation data were collected from 25 nested plots (20×20 m for trees, 10×10 m for poles, 5×5 m for saplings, and 2×2 m for seedlings) along five transects purposefully located in areas where R. curtisii occurs. All individuals were identified and measured to calculate relative density, frequency, basal area, and Importance Value Index (IVI), along with Shannon–Wiener diversity (H?), evenness (E), and species richness (R). A total of 44 species from 13 families were recorded, including seven Dipterocarpaceae species. Rubroshorea curtisii dominated all strata with the highest IVI values in seedlings (21.38%), poles (30.83%), and trees (34.00%), indicating its keystone ecological role. The stand exhibited an inverted J-shaped diameter distribution, characterized by a predominance of small-diameter trees (10-19.9 cm) and a scarcity of large individuals, reflecting regeneration imbalance. Diversity was highest in tree strata (H? = 3.10) and lowest in saplings (H? = 1.70), while evenness remained high (E = 0.91-0.97). Tree strata showed the highest richness (R = 7.05), whereas saplings had the lowest (R = 1.25). Despite ongoing regeneration, reduced mature individuals and disrupted recruitment suggest vulnerability to fragmentation, logging, and limited reproductive events. Conservation priorities should include protection of mature trees, enrichment planting, canopy restoration, and long-term monitoring of reproductive ecology. Integrating community participation and habitat rehabilitation is essential to ensure sustainable management of R. curtisii and the ecological resilience of remnant dipterocarp forests in the Riau Islands.

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  • International Journal of Engineering & Technology
  • Edi Indera + 3 more

Batam Island is built into the Free Trade since 1970 by the Batam Authority, but in 2000 stood Batam City Government, to 2016 the economy grew 6,5%, but since 2017 dropped to 2%, this phenomenon should be a study. The population is employee environment Batam Area Concession Agency, APINDO, BKPM, Batam City Government Employees, the Chamber of Commerce, Community and students. Total respondents 190 respondents sampled (census method). Data Analysis was perfomed using Structural Equation Model (SEM). The software used for the structural analysis is AMOS 22, descriptive analysis using SPSS version 22.0. Geographical Utilization variable determination to variable investmenthas standardized estimate of 0,121<0,50 with CR identical to the value t-tes) CR = 1,749<2,00 on probability = 0,080 > 0,05 is negative not significant. Determination variable to variable Infrastructure Investmenthas standardized estimate 0f -0,816<0,50 with CR identical to the value t-test = -2,013<2,00 on probability = 0,044 < 0,05 is significantly negative. Determination of laten variable to variable organizations Resource investment has standardized estimate of 0,972>0,50 with CR identical to the value t count = 7,336>2,00 on probability = ***<0,05 is a significant positive. Utilization variable determination to variable Geographical Area Developmenthas standardized estimate of 0,020<0,50 with CR idential to value t count = 0,257<2,00 on probability = 0,797> 0,50 is negative not significant. Determination variable to variable Regional Development Infrastructure is has standardized estimate of 0,247<0,50 with CR idential to value t count = 2,248>2,00 on probability = 0,025<0,50 significantly positive. Organization Resource variable determinan variable is the Regional Developmenthas standardized estimate amounted to -0,224<0,50 with CR identical to the value t –test = -1,100<2,00 on probability = 0,272>0,50 not significant. Determination variable to variable investment Regional Developmenthas standardized estimate 0,927>0,50 with CR identical to the value t count = 4,900>2,00 on probability = ***<0,05 is a significant positive.

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