Partitioning Rainfall into Throughfall, Stemflow, and Interception Loss in Clove (Syzygium Aromaticum) Plantation in Upstream Saba River Basin, Bali

Limin, Sanz Grifrio; Oue, Hiroki; Sato, Yoshinobu; Budiasa, I Wayan; Setiawan, Budi Indra

doi:10.1016/j.proenv.2015.07.036

Cited by 14 publications

(10 citation statements)

References 11 publications

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“…Rainfall probably could be a crucial factor in breaking high dormancy levels of the S. elaeagnifolium seeds, by washing the mucus coat off the seeds. Under a dense forest canopy, rain drops do not fall with high intensity and the stem flow conveys a high amount of water intercepted by the forests canopy and bark (Van Dijk & Bruijnzeel 2001, Levia & Herwitz 2005, Limin et al 2015. Moreover, the forest terrain, which is usually covered by low vegetation and a thick litter layer, prevents water from entering soil with high intensity (Owens et al 2006).…”

Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 99%

Are Mediterranean forest ecosystems under the threat of invasive species Solanum elaeagnifolium?

Formozis¹,

Tsakaldimi²,

Ganatsas³

2021

iForest

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Biogeosciences and Forestry Biogeosciences and ForestryAre Mediterranean forest ecosystems under the threat of invasive species Solanum elaeagnifolium? Georgios Formozis, Marianthi Tsakaldimi, Petros Ganatsas Solanum elaeagnifolium Cav. is one of the most invasive plant species worldwide that colonizes crops and human disturbed lands, while it appears at the edge of forest ecosystems. Its control still remains an unsolved problem around the world. Understanding its distribution under predicted climate change, could contribute to an effective management and conservation of ecosystems in the future. This research was conducted in order to investigate the capacity of this species to invade Mediterranean forest ecosystems, and if the allelopathy effects of forest tree species could control its regeneration, thus contributing to a natural and biological management practice aimed to prevent the species from pervading into Mediterranean forest ecosystems. Results showed that S. elaeagnifolium can establish itself outside and along the forest edges, but not in a typical forest environment. The leaf extracts of Pinus brutia, Cupressus sempervirens, Quercus coccifera and Quercus pubescens significantly inhibited the germination of S. elaeagnifolium. Root regenerative ability of the cuttings was also significantly affected by the leaf extract treatments. P. brutia leaf extract had significantly the highest inhibitory activity on root regenerative ability of the species. Despite the promising findings of this study, absence of S. elaeagnifolium in Mediterranean forest ecosystems can be attributed to a combination of factors. In the context of climate change, especially in hot and dry Mediterranean areas, and the expected increase of forest disturbances (e.g., fires), the findings of the study could contribute towards the restriction of this invasive alien species by an appropriate management of forest ecosystems.

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Section: Iforest -Biogeosciences and Forestrymentioning

confidence: 99%

Are Mediterranean forest ecosystems under the threat of invasive species Solanum elaeagnifolium?

Formozis¹,

Tsakaldimi²,

Ganatsas³

2021

iForest

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“…However, a high residual error (> 0.80) was observed in this analysis (greater than the termination coefficient, <0.35), indicating that other factors influence the partition of the rainfall in the Caatinga more than the structural characteristics of the vegetation species (e.g. meteorological variables, rainfall intensity, leaf angle, leaf hydrophobicity, and water droplet retention) (Limin et al, 2015;Zhang et al, 2015;Zhang et al, 2016).…”

Section: Seasonality Of Plant Area Indexmentioning

confidence: 65%

“…In their study, the largest species generated the highest SF. By contrast, Limin et al (2015) studied a clove plantation in Saba River Basin, Bali, Indonesia, and did not find a significant correlation between TF and canopy opening, with low r 2 values.…”

Section: Association Between Structural Characteristics and Hydrological Variables Of The Vegetationmentioning

confidence: 83%

Composition of Caatinga Species Under Anthropic Disturbance and Its Correlation With Rainfall Partitioning

et al. 2021

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The vegetation structure is a good indicator of the conservation condition of an ecosystem, since it reflects alterations caused by anthropic action. This study proposes to analyze the phytosociological aspects of the Caatinga domain under anthropic disturbance and their correlations with hydrological variables. Twenty-five 400 m 2 plots were sampled in the municipality of Floresta -PE, Brazil. Phytosociological parameters such as density, frequency and dominance were calculated. The seasonality of plant area index was analyzed for six species. The association between structural characteristics and hydrological variables (throughfall, stemflow and interception loss) in the species was evaluated by multivariate analysis. A total of 930 individuals, six families and 10 species were recorded. The abundance of the species Cenostigma pyramidale in the area may be an indicator of the degree of change in the vegetation. The structural characteristics of the species revealed little association with rainfall partitioning.

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“…The difference from the second to third quarters is the largest value is 4.205% and the smallest is 0.054%, while from the third to fourth quarters the largest value is 4.531% and the smallest is 0.673%. The dynamics of the average value of the spectral reflectance at each quarterly change indicates that there has been a change in the physical condition of the clove vegetation which can be interpreted as the clove vegetation being in the vegetative phase or the generative phase (Roth et al, 2019;Limin et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Temporal analysis on spectral reflectance of clove vegetation based on landsat 8 imagery

Yuliara

Ratini

Kasmawan

2022

ijpse

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This study aims to analyze temporally the spectral reflectance of clove vegetation using Landsat 8 multitemporal imagery data in Buleleng district, Bali. The analysis method uses the conversion of raw data from Landsat 8 images to the spectral reflectance value at the Top of Atmosphere (TOA). This conversion scales back the pixel values ??of the Landsat 8 image in the visible spectrum, namely bands 2, 3, 4 and infrared bands 5, 6, and 7 into percentage units. The temporal analysis technique is carried out by grouping the time series of Landsat 8 image data for 1 period, in 2015, into 4 quarterly groups based on the acquisition time, namely Quarter I (January, February, March), Quarter II (April, May, June), Quarter III (July, August, September) and Quarter IV (October, November, December). The results showed that the graph pattern of the average percentage of spectral reflectance in each quarter was the same and in the infrared spectrum was greater than the visible spectrum. The average value of the largest spectral reflectance was found in the second Quarter which was acquired by band 5 of 28.143%, while the smallest in the first Quarter which was acquired by band 2 was 2.503%.

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Partitioning Rainfall into Throughfall, Stemflow, and Interception Loss in Clove (Syzygium Aromaticum) Plantation in Upstream Saba River Basin, Bali

Cited by 14 publications

References 11 publications

Are Mediterranean forest ecosystems under the threat of invasive species Solanum elaeagnifolium?

Are Mediterranean forest ecosystems under the threat of invasive species Solanum elaeagnifolium?

Composition of Caatinga Species Under Anthropic Disturbance and Its Correlation With Rainfall Partitioning

Temporal analysis on spectral reflectance of clove vegetation based on landsat 8 imagery

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