An indirect method of estimating leaf area index in a tropical deciduous forest of India

Behera, Soumit K.; Tuli, Rakesh

doi:10.1016/j.ecolind.2015.05.038

Cited by 23 publications

(8 citation statements)

References 37 publications

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“…Meanwhile, the carrying capacity of Cikamal was threatened by invasive vegetation growth, especially teak (Tectona grandis) planted in 1932 and 1936 (Nakazono 2012). Broad teak leaves prevent sunlight from reaching the forest floor, limiting shade-intolerant plants' growth and the grassland's dominant population (Behera et al 2015). Changes in pasture land cover by succession have also occurred in various conservation areas in Indonesia, including the Bekol Savana in Baluran National Park which was threatened by the invasion of Acacia nilotica (Istomo & Farida 2017;Muis et al 2018) and the succession of the Cigenter Grassland in Ujung Kulon National Park Arenga obtusifolia (Febriana et al 2019).…”

Section: Potency Of Javan Deer Habitatmentioning

confidence: 99%

Alternative Strategy to Improve the Conservation of Javan Deer in Pangandaran Nature Reserve, West Java, Indonesia

Firdaus

Irwanto²,

Sumarga³

2023

J.Tropical Biodiversity Biotechnology

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The habitat of Javan deer in Pangandaran Nature Reserve (PNR) faced natural changes, particularly due to the succession process of vegetation community in grazing areas, and inadequate infrastructures that affected the deer to roam outside PNR. This study aimed to formulate strategies for the conservation of Javan deer in PNR, focusing on ecological aspects and conservation management. The methods were encountering Javan deer individuals; scan sampling and continuous recording to observe the behaviour of Javan deer; calculating the productivity of grazing area by defoliation experiment and vegetation analysis; reviewing documents, reports and interviews; and analysing strategy using SWOT-QSPM. Results showed there were 43 Javan deer encountered roaming in PNR and outside the conservation area, and nine individuals gathered in Cikamal grassland. The productivity of the grazing areas (5.61 ha) was 93,826 kg of feed annually and was only sufficient for 23 individuals. The grazing areas were dominated by Cynodon dactylon. Javan deer spent their time feeding. Javan deer herd in Cikamal is more intolerant to humans compared to the herd in Pangandaran Nature Tourist Park (PNTP). This study recommends: considering the management status of Javan deer in the conservation management of PNR and PNTP; improving the conservation management of Javan deer and its habitat; improving facilities and the management system of those facilities and conservation-supporting infrastructures; collaboration with researchers to perform some research and innovations for Javan deer conservation; improving the capability of PNR staff theoretically and practically; and educating and empowering the local people in terms of Javan deer conservation.

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Section: Potency Of Javan Deer Habitatmentioning

confidence: 99%

Alternative Strategy to Improve the Conservation of Javan Deer in Pangandaran Nature Reserve, West Java, Indonesia

Firdaus

Irwanto²,

Sumarga³

2023

J.Tropical Biodiversity Biotechnology

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“…Therefore, LAI is used as an essential input in a variety of climate and ecosystem models [2][3][4][5]. As an important indicator describing the energy and carbon exchange between vegetation and the atmosphere, the quantitative retrieval of this biophysical parameter is necessary for understanding the changes in energy and carbon cycling in response to climate change [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods

Wang

Tang

et al. 2016

Remote Sensing

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Leaf area index (LAI) is a key parameter used to describe vegetation structures and is widely used in ecosystem biophysical process and vegetation productivity models. Many algorithms have been developed for the estimation of LAI based on remote sensing images. Our goal was to produce accurate and timely predictions of grassland LAI for the meadow steppes of northern China. Here, we compare the predictive power of regression approaches and hybrid geostatistical methods using Chinese Huanjing (HJ) satellite charge coupled device (CCD) data. The regression methods evaluated include partial least squares regression (PLSR), artificial neural networks (ANNs) and random forests (RFs). The two hybrid geostatistical methods were regression kriging (RK) and random forests residuals kriging (RFRK). The predictions were validated for different grassland types and different growing stages, and their performances were also examined by adding several groups of vegetation indices (VIs). The two hybrid geostatistical models (RK and RFRK) yielded the most accurate predictions (root mean squared error (RMSE) = 0.21 m 2 /m 2 and 0.23 m 2 /m 2 for RK and RFRK, respectively), followed by the RF model (RMSE = 0.27 m 2 /m 2 ), which was the most accurate among the regression models. These three models also exhibited the best temporal performance across the duration of the growing season. The PLSR and ANN models were less accurate (RMSE = 0.33 m 2 /m 2 and 0.35 m 2 /m 2 for ANN and PLSR, respectively), and the PLSR model performed the worst (exhibiting varied temporal performance and unreliable prediction accuracy that was susceptible to ground conditions). By adding VIs to the predictor variables, the predictions of the PLSR and ANN models were obviously improved (RMSE improved from 0.35 m 2 /m 2 to 0.28 m 2 /m 2 for PLSR and from 0.33 m 2 /m 2 to 0.28 m 2 /m 2 for ANN); the RF and RFRK models did not generate more accurate predictions and the performance of the RK model declined (RMSE decreased from 0.21 m 2 /m 2 to 0.32 m 2 /m 2 ).

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“…LAI is a key variable in driving the biological processes of the plants, thus is a necessary input variable in many ecological models studying canopy structure and productivity (BEHERAA et al 2015). Leaf area index drives both the within-and the belowcanopy microclimate, determines and controls canopy water interception, radiation extinction, water and carbon gas exchange and is, therefore, a key component of biogeochemical cycles in ecosystems (ESPAÑA et al 2008).…”

Section: Introductionmentioning

confidence: 99%

“…The LAI is defined as the projected leaf area per unit ground area (GOWER; NORMAN, 1991;BEHERAA ET AL., 2015), which means one half of the total leaf area per unit ground surface area CIHLAR, 1995). According to Chen and Black (1992), this definition is clear for flat broad leaves but for coniferous leaves, (which may be cylindrical or close to hemicylindrical), or foliage clumps (which may be spherical, ellipsoidal and other shapes) the meaning one-sided area is not so clear.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Methodology for the Correction of the Leaf Area Index Measured With a Ceptometer for Pinus and Eucalyptus Forests

Lopes¹,

Walford

Viana

et al. 2016

Rev. Árvore

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-Leaf area index (LAI) is an important parameter controlling many biological and physiological processes associated with vegetation on the Earth's surface, such as photosynthesis, respiration, transpiration, carbon and nutrient cycle and rainfall interception. LAI can be measured indirectly by sunfleck ceptometers in an easy and non-destructive way but this practical methodology tends to underestimated when measured by these instruments. Trying to correct this underestimation, some previous studies heave proposed the multiplication of the observed LAI value by a constant correction factor. The assumption of this work is LAI obtained from the allometric equations are not so problematic and can be used as a reference LAI to develop a new methodology to correct the ceptometer one. This new methodology indicates that the bias (the difference between the ceptometer and the reference LAI) is estimated as a function of the basal area per unit ground area and that bias is summed to the measured value. This study has proved that while the measured Pinus LAI needs a correction, there is no need for that correction for the Eucalyptus LAI. However, even for this last specie the proposed methodology gives closer estimations to the real LAI values.Keywords: LAI; Underestimation; Clumping. PROPOSTA DE UMA METODOLOGIA PARA A CORREÇÃO DO ÍNDICE DE ÁREA FOLIAR MEDIDO PELO CEPTÓMETRO EM POVOAMENTOS DE PINUS E EUCALYPTUSRESUMO -O índice de área foliar (IAF) é um parâmetro importante que controla muitos processos biológicos e fisiológicos associados à vegetação, entre as quais a fotossíntese, a respiração, a transpiração e o ciclo do carbono. O IAF pode ser medido indiretamente, de uma maneira fácil e não destrutiva, como pelo uso de ceptometros sunfleck. Contudo, esta metodologia, apesar de prática, tende a subestimar o IAF em grande parte devido à forma como as folhas se organizam nas copas, em especial o agrupamento das acículas em coníferas. Na tentativa de corrigir esta deficiência, propõe-se a multiplicação do valor de IAF medido por um fator de correção constante. Em contrapartida, assume-se que o IAF obtido a partir das equações alométricas não é tão problemático e pode ser usado como uma referência para estimar o IAF e desenvolver uma nova metodologia para corrigir as médias obtidas pelo ceptometro. Esta nova metodologia assume que o erro (a diferença entre o IAF do ceptometro e o IAF de referência) é estimado como uma função da área basal por hectare. O erro obtido deve então ser somado ao IAF do ceptometro, para se obter um valor corrigido. Este estudo mostrou ainda que, embora o IAF da Pinus necessite da aplicação desta correção, não há necessidade de aplicar no casa do IAF para a Eucalyptus. No entanto, mesmo para esta última espécie a metodologia proposta dá estimativas mais próximas dos valores reais de IAF.

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An indirect method of estimating leaf area index in a tropical deciduous forest of India

Cited by 23 publications

References 37 publications

Alternative Strategy to Improve the Conservation of Javan Deer in Pangandaran Nature Reserve, West Java, Indonesia

Alternative Strategy to Improve the Conservation of Javan Deer in Pangandaran Nature Reserve, West Java, Indonesia

Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods

A Proposed Methodology for the Correction of the Leaf Area Index Measured With a Ceptometer for Pinus and Eucalyptus Forests

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