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Titlebook: Spatial Modeling in Forest Resources Management; Rural Livelihood and Pravat Kumar Shit,Hamid Reza Pourghasemi,Gouri San Book 2021 The Edit

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Sambhunath Roy,Sujoy Mudi,Pulakesh Das,Sujit Ghosh,Pravat Kumar Shit,Gouri Shankar Bhunia,John Kimvade other organs throughout the body. This concise and up-to-date Brief is geared towards cancer researchers and scientists, as well as physicians interested in the basic science and the translational potential of vitamin C in cancer therapeutics.978-1-4939-1889-8978-1-4939-1890-4Series ISSN 2194-1173 Series E-ISSN 2194-1181
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1863-5520 onals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications... .978-3-030-56544-2978-3-030-56542-8Series ISSN 1863-5520 Series E-ISSN 1863-5539
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Estimation of Net Primary Productivity: An Introduction to Different Approachesnt biophysical relations such as the light use efficiency model etc. However the accuracy of these products varies geospatially and largely depends on the retrieval of input parameters and representativeness of underlying model parameterization. There are two major modelling approaches to estimate t
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Ecological Determinants of Woody Plant Species Richness in the Indian Himalayan Forestnt species (233 genera and 53 families) were recorded from the field inventory. The woody plant species richness was found to range from 1 to 54 per ha at transect level. Structural Equation Model (SEM) evaluated different combinations of ecological determinants for woody plant species richness. The
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Multivariate Analysis of Soil-Vegetation Interaction and Species Diversity in a Natural Environment habitat with control area (without the presence of . L.). According to the Shannon-Weiner diversity index, Sumac habitat was more diverse and based on the evenness index of 0.717, it showed more uniform distribution compared to control area. The student’s t-test of independent samples in two areas d
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Comparative Assessment of Forest Deterioration through Remotely Sensed Indices—A Case Study in Korbaat4,5 Thematic Mapper (TM) and Landsat8 Operational Land Imager (OLI) sensor data. To identify the best vegetation index for sparsely vegetated semi-arid and arid region of Chhattisgarh state using four vegetation indexes; Normalized Difference vegetation index (NDVI), transformed normalized differe
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