2019
DOI: 10.1016/j.foreco.2019.02.028
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Climbing the mountain fast but smart: Modelling rubber tree growth and latex yield under climate change

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Cited by 18 publications
(13 citation statements)
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“…To this end, we collected data from the literature that performed modeling simulations. We found modeled data on net ecosystem exchange and latent heat flux from CRRI, Cambodia (11.6 • N, 103.3 • E; 57 m elevation) (SVAT-rubber model; [15]) and modeled latex harvest yield data from Neban Reserve (NR), China (22 • N, 100 • E; 680 m elevation) (LUCIA-rubber model; [16]). We performed CLM-rubber simulations at these two sites by essentially following a similar scheme as mentioned above and compared our results with the SVAT-rubber and LUCIA-rubber models.…”
Section: Comparing Clm-rubber Model With Other Modelsmentioning
confidence: 99%
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“…To this end, we collected data from the literature that performed modeling simulations. We found modeled data on net ecosystem exchange and latent heat flux from CRRI, Cambodia (11.6 • N, 103.3 • E; 57 m elevation) (SVAT-rubber model; [15]) and modeled latex harvest yield data from Neban Reserve (NR), China (22 • N, 100 • E; 680 m elevation) (LUCIA-rubber model; [16]). We performed CLM-rubber simulations at these two sites by essentially following a similar scheme as mentioned above and compared our results with the SVAT-rubber and LUCIA-rubber models.…”
Section: Comparing Clm-rubber Model With Other Modelsmentioning
confidence: 99%
“…For example, Kumagai et al [15] developed a soil-vegetation-atmosphere transfer model for rubber plantations (SVAT-rubber). They examined how canopy structure in the model affected carbon and water fluxes in central Cambodia, while Yang et al [16] used the Land Use Change Impact Assessment model to simulate rubber (LUCIA) and investigated how high altitudes and planting densities influenced the modeled biomass and latex yield of rubber plantations. It is worth noting that the former study considered only one site, and therefore their results could be site-specific.…”
Section: Introductionmentioning
confidence: 99%
“…Maximum consumption of natural rubber has been reported in the tires of automobiles, which utilizes ~70% of the total production, and its demand has been predicted to increase by 30 megatons per year by the year 2030 (Cornish, 2017). The para rubber planting area is rapidly expanding into the Montane Mainland Southeast Asia including Grate Mekong Subregion (China, Vietnam, Thailand, Laos, Myanmar and Cambodia) (Golbon et al, 2018;Yang et al, 2019) and Peninsular Malaysia (Hazir et al, 2020).…”
Section: Academicpresmentioning
confidence: 99%
“…Para rubber cv. 'RRIM600' is a good candidate for plantation in Thailand and China with adaptation to drought, chilling and frost injuries and moderate yield (Priyadarshan et al, 2005;Gonçalves et al, 2011;Pethin et al, 2015;Yang et al, 2019). Elite clones of para rubber with high yield of latex, rapid growth, longlifetime tapping (20-30 years) and disease-resistant traits being developed through breeding programs (Supriya et al, 2019).…”
Section: Academicpresmentioning
confidence: 99%
“…Hasil simulasi yang dilakukan Thomas et al (2000) menunjukkan pada ketinggian tempat 810 m dpl di Lampung, matang sadap tanaman karet dicapai pada umur 7,9 tahun, lebih lama dibanding normal yang berkisar antara 5,0-5,5 tahun. Namun berdasarkan skenario perubahan iklim global, Yang et al (2019) memperkirakan karet yang ditanam pada ketinggian tempat > 900 m dpl akan mengalami peningkatan biomassa sekitar 28% dan hasil 48%. Hal ini membuka peluang bagi perbaikan pertumbuhan karet di daerah dengan ketinggian > 400 mdpl.…”
Section: Adaptabilitas Karet Pada Lahan Suboptimalunclassified