Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand

Asanok, Lamthai; Kamyo, Torlarp; Marod, Dokrak

doi:10.13057/biodiv/d211027

Cited by 5 publications

(7 citation statements)

References 33 publications

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“…Following, land use, forest cover and soil variables showed to be consistent with previous studies suggesting that elevation was one of the most important environmental variables determining plant distribution such as Dipterocarpus alatus and Hopea odorata (Asanok et al 2020). On the one hand, topographical variables derived from DEM such as slope and aspect can show a positive correlation with the elevation variable (Evcin et al 2019).…”

Section: Evaluations Of the Model And Its Importancesupporting

confidence: 90%

Current and future predicting habitat suitability map of Cunninghamia konishii Hayata using MaxEnt model under climate change in Northern Vietnam

Nguyen

Gliottone²,

Pham³

2021

EuroJEcol

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Cunninghamia konishii Hayata is a rare and endangered plant species that plays a relevant role in ecological andcommercial systems of natural forests in Vietnam. In this research, we evaluated the potential geographic distribution ofC. konishii under current and future climatic conditions in Northern Vietnam using the ecological niche modelling approachbased on the largest available database of occurrence records for this species. C. konishii is mainly distributed inthe northern part of Vietnam at altitudes above 1000 m where the slopes range between 12 and 25 degrees, particularlyin special-use and protected forest. The optimal distribution area of C. konishii requires specific climatic conditions: anannual precipitation around 1200 mm, precipitation of the warmest quarter ranging from 600 to 800 mm, a precipitationseasonality of 90 to100 mm, an annual mean temperature ranging from 12°C to 19°C, and a temperature seasonalityranging from 300 to 350. Additionally, the species requires specific soil groups: humic acrisols, ferralic acrisols, andyellow-red humic soils. Considering these requirements, the results of our research show that the suitable regions for thegrowth of C. konishii are found in the provinces of Ha Giang, Son La, Thanh Hoa and Nghe An, covering a total area of1509.56 km2. However, analyzing the results under the Community Climate System Model version 4 (CCSM4) model, itis possible to observe that the area will decline to 504.39 km2 by 2090 according to RCP 2.6 scenario, to 406.25 km2 inthe RCP 4.5 scenario, and to 47.62 km2 in the RCP 8.5 scenario. The findings of this present research may be applied toseveral additional studies such as identifying current and future locations to establish conservation areas for C. konishii.

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Section: Evaluations Of the Model And Its Importancesupporting

confidence: 90%

Current and future predicting habitat suitability map of Cunninghamia konishii Hayata using MaxEnt model under climate change in Northern Vietnam

Nguyen

Gliottone²,

Pham³

2021

EuroJEcol

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“…Meanwhile, Zhang et al (2018) stated climatic factors are very important in affecting plant regeneration, growth, and spread. A study by Asanok et al (2020) reported habitat suitability modeling indeed helps to improve understanding of the relationship between plants and respective habitats through incorporating the current location, microclimate, topographical, and edaphic factor data.…”

Section: Model Performancesmentioning

confidence: 99%

“…This study is the first to create a map of the habitat suitability model for B. angulata in Kalimantan using MaxEnt. Species distribution modeling (SDM) provides highly significant information for cultivation as well as conservation management, and shows the relationship between species as well as habitat by combining data on presence, microclimate, topography, and edaphic factors (Asanok et al 2020). Furthermore, SDM also provides information on environmental factors with the most influence on species distribution.…”

Section: Predicted Current Potential Distributionmentioning

confidence: 99%

Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia using Maxent modelling

et al. 2021

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Abstract. Gunawan, Sulistijorini, Chikmawati T, Sobir. 2021. Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia Using MaxEnt Modelling. Biodiversitas 22: 2646-2653. Baccaurea angulata Merr. or ‘Belimbing Dayak’ is an underutilized fruit indigenous in Kalimantan. This species potentially used as edible fruit and medicinal plant. Unfortunately, the forest conversion to oil palm and rubber plantations causes decreasing the habitat of B. angulata. However, little is known about the occurrences and suitable habitat of B. angulata in Kalimantan. This investigation is might be the first study report on predicting the distribution of B. angulata in Kalimantan using MaxEnt (Maximum Entropy). The results show that four variables namely solar radiation in October, altitude, precipitation of warmest quarter, and gloslope are significant factors determining B.angulata’s suitable habitat. The location of suitable habitat for B. angulata is accordant with the real present distribution. The extent of potentially suitable area was significantly larger than the present occurrence of B. angulata in Kalimantan. The highest suitable areas identified in this study covered West Kalimantan and South Kalimantan. They included parts of SB (Sambas), LD (Landak), SG (Sanggau), SK (Sekadau) and BK (Bengkayang) of West Kalimantan Provinces, and TL (Tanah Laut), BN (Banjar) of South Kalimantan Provinces. The MaxEnt model performed better than random method with an Area Under Curve (AUC) value of 0.937 and it was statistically significant. It indicated that MaxEnt model was highly accurate and informative for habitat suitability of B. angulata. The predicted model of suitable areas can be used for management, monitoring, cultivation and future conservation of B. angulata.

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“…Moreover, both species are dipterocarps (Dipterocarpaceae) that dominate the floodplain forests along the Chao Phraya River [14]. The distribution of these two species is determined by precipitation [45,46], as they are often dominant in tropical forests in Southeast Asia where high rainfall is a limiting factor [47]. Historically, both species were severely reduced by urbanization and were once only found in small forest patches and as isolated individuals along the Chao Phraya River [14].…”

Section: Species Composition Of Large Treesmentioning

confidence: 99%

“…Dominant species, such as Dipterocarpus alatus and Hopea odorata, were found in all cities, particularly in Lop Buri and Prathum Thani, respectively. A previous study reported that the upper and lower parts of the Chao Phraya River are suitable environments for populations of Dipterocarpus alatus and Hopea odorata, respectively [45,46]. The key limiting factors for these two species are distance from the sea, urbanized areas, and rainfall [14].…”

Section: Unique Speciesmentioning

confidence: 99%

Assessment of the Diversity of Large Tree Species in Rapidly Urbanizing Areas along the Chao Phraya River Rim, Central Thailand

et al. 2021

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Urban trees provide numerous ecosystem services in cities such as pollution absorption and reduced urban heat island intensity, energy use, and mental fatigue. Understanding urban tree species diversity can enhance tree planning and management in rapidly urbanizing areas. However, few studies have examined the effects of urbanization on urban tree diversity in Thailand. This study assessed the diversity of large trees in urban landscapes including 11 cities along the 372 km Chao Phraya River Rim in central Thailand. Species diversity, importance value, and distribution were evaluated in each city. Our survey documented 987 large trees belonging to 65 species, 48 genera, and 31 families. The dominant species of Dipterocarpus alatus and Hopea odorata had the highest importance and relative abundance. The highest abundance of large trees was seen in the rural city of Sing Buri, while large urban cities such as Ayutthaya and Bangkok exhibited the highest species diversity. Detrended correspondence analysis indicated that the diversity of unique species was high in large urban cities, while dominant and common species were ubiquitous in rural cities. These findings suggest that large trees are few in number but exhibit high species diversity in large rapidly urbanizing cities. Therefore, preserving good site conditions is critical for the survival of large trees in urban cities. Heritage tree registration may aid preservation efforts and enhance the benefits of these large trees in rapidly urbanizing areas.

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Maximum entropy modeling for the conservation of Hopea odorata in riparian forests, central Thailand

Cited by 5 publications

References 33 publications

Current and future predicting habitat suitability map of Cunninghamia konishii Hayata using MaxEnt model under climate change in Northern Vietnam

Current and future predicting habitat suitability map of Cunninghamia konishii Hayata using MaxEnt model under climate change in Northern Vietnam

Predicting suitable areas for Baccaurea angulata in Kalimantan, Indonesia using Maxent modelling

Assessment of the Diversity of Large Tree Species in Rapidly Urbanizing Areas along the Chao Phraya River Rim, Central Thailand

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