Phytodiversity Analysis : a Geospatial Approach Article Swipe
Sarnam Singh
,
Priyom Roy
,
M. B. Chandrashekhar
,
Dheeraj K. Singh
,
Surendra P. Singh
,
B. P. Uniyal
,
P. K. Joshi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.20324/nelumbo/v46/2004/74116
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.20324/nelumbo/v46/2004/74116
Stratified random sampling with probability proportion to the size (PPS) is adopted for analyzing vegetation composition of all types. Vegetation cover type map derived using satellite remote sensing data have been considered as prime input for phytodiversity analysis of forest ecosystem. Geographic Information System (GIS) has been used to derive landscape indices such as fragmentation, porosity, patchiness, patch density, interspersion and juxtaposition, which depict landscape characteristics. Phytodiversity richness map generated for the Shiwalik hills of Punjab state is based on the disturbance index, terrain complexity, species richness, biological value and ecosystem uniqueness. The resultant maps highlight areas that are rich in phytodiversity. Forests of Shiwalik hills of Punjab state are moderately rich in some fragmented pockets. Deciduous forest showed high degree of richness (55.09% and 12.86% in high and very high categories respectively) followed by moist deciduous forest (17.92% in high and 16.19% in very high categories). Deciduous scrub shows least richness (13.96 % in high and 1.61 % in very high categories) as compared to pine forest (16.72% in high and 4.55% in very high categories). Phytosociological data collected from field sampling was analyzed to derive species richness, biodiversity value and importance value of various forest types.
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- https://doi.org/10.20324/nelumbo/v46/2004/74116
- OA Status
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All OpenAlex metadata
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https://doi.org/10.20324/nelumbo/v46/2004/74116Digital Object Identifier
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Phytodiversity Analysis : a Geospatial ApproachWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-05-22Full publication date if available
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Sarnam Singh, Priyom Roy, M. B. Chandrashekhar, Dheeraj K. Singh, Surendra P. Singh, B. P. Uniyal, P. K. JoshiList of authors in order
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https://doi.org/10.20324/nelumbo/v46/2004/74116Publisher landing page
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diamondOpen access status per OpenAlex
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https://doi.org/10.20324/nelumbo/v46/2004/74116Direct OA link when available
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Geospatial analysis, Geography, Computer science, Data science, CartographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.various | 195 |
| abstract_inverted_index.Shiwalik | 72, 104 |
| abstract_inverted_index.analysis | 37 |
| abstract_inverted_index.analyzed | 184 |
| abstract_inverted_index.compared | 164 |
| abstract_inverted_index.density, | 58 |
| abstract_inverted_index.followed | 133 |
| abstract_inverted_index.pockets. | 115 |
| abstract_inverted_index.richness | 67, 122, 151 |
| abstract_inverted_index.sampling | 2, 182 |
| abstract_inverted_index.Deciduous | 116, 147 |
| abstract_inverted_index.analyzing | 13 |
| abstract_inverted_index.collected | 179 |
| abstract_inverted_index.deciduous | 136 |
| abstract_inverted_index.ecosystem | 90 |
| abstract_inverted_index.generated | 69 |
| abstract_inverted_index.highlight | 95 |
| abstract_inverted_index.landscape | 50, 64 |
| abstract_inverted_index.porosity, | 55 |
| abstract_inverted_index.resultant | 93 |
| abstract_inverted_index.richness, | 86, 188 |
| abstract_inverted_index.satellite | 25 |
| abstract_inverted_index.Geographic | 41 |
| abstract_inverted_index.Stratified | 0 |
| abstract_inverted_index.Vegetation | 19 |
| abstract_inverted_index.biological | 87 |
| abstract_inverted_index.categories | 131 |
| abstract_inverted_index.considered | 31 |
| abstract_inverted_index.ecosystem. | 40 |
| abstract_inverted_index.fragmented | 114 |
| abstract_inverted_index.importance | 192 |
| abstract_inverted_index.moderately | 110 |
| abstract_inverted_index.proportion | 5 |
| abstract_inverted_index.vegetation | 14 |
| abstract_inverted_index.Information | 42 |
| abstract_inverted_index.categories) | 162 |
| abstract_inverted_index.complexity, | 84 |
| abstract_inverted_index.composition | 15 |
| abstract_inverted_index.disturbance | 81 |
| abstract_inverted_index.patchiness, | 56 |
| abstract_inverted_index.probability | 4 |
| abstract_inverted_index.uniqueness. | 91 |
| abstract_inverted_index.biodiversity | 189 |
| abstract_inverted_index.categories). | 146, 176 |
| abstract_inverted_index.interspersion | 59 |
| abstract_inverted_index.respectively) | 132 |
| abstract_inverted_index.Phytodiversity | 66 |
| abstract_inverted_index.fragmentation, | 54 |
| abstract_inverted_index.juxtaposition, | 61 |
| abstract_inverted_index.phytodiversity | 36 |
| abstract_inverted_index.phytodiversity. | 101 |
| abstract_inverted_index.characteristics. | 65 |
| abstract_inverted_index.Phytosociological | 177 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.08395627 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |