Optimising future rhino population management strategies using insights from genetic health assessments across India Article Swipe
Tista Ghosh
,
Parikshit Kakati
,
Amit Sharma
,
Samrat Mondol
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.08.09.607316
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.08.09.607316
Various species conservation paradigms are facing enormous challenges during the ongoing Anthropocene. While the widely-used reintroduction/translocation-based approaches have supported many endangered species population recoveries, they seldom use detailed genetic information during initial planning. The Indian greater one-horned rhino typifies such assisted migration-driven species recovery, but currently facing long-term survival concerns due to their mostly small, isolated populations reaching respective carrying capacities. We assessed nation-wide rhino genetic health, identified suitable source populations and provided future translocation scenarios for all extant and proposed rhino habitats. Analyses with 504 unique rhino genotypes across all seven Indian rhino-bearing parks revealed six genetically-isolated populations with overall moderately low genetic diversity. Our results showed that Kaziranga and Manas NPs (Assam) to have the best rhino genetic health, whereas Jaldapara and Gorumara NPs (West Bengal) undergoing strong genetic erosions. Forward genetic simulations suggested that annual supplementation efforts from only few Assam rhino populations (Kaziranga NP, Orang NP and Pobitora WLS) are best suited for genetic rescue of most of the extant populations. Overall, the genetic diversity and differentiation patterns mimics the complex evolutionary history and individual recovery histories. We suggest park-specific management solutions (ranging from protection measures, grassland restoration, livestock and conflict management, regular supplementation events etc.) to ensure the species’ long-term persistence and prevent the alarming loss of grassland habitats and its associate biodiversity. We insist on utilising such genetic health indices-driven population management solutions to identify targeted mitigative measures in other species.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.08.09.607316
- https://www.biorxiv.org/content/biorxiv/early/2024/08/09/2024.08.09.607316.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 85
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.1101/2024.08.09.607316Digital Object Identifier
- Title
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Optimising future rhino population management strategies using insights from genetic health assessments across IndiaWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-08-09Full publication date if available
- Authors
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Tista Ghosh, Parikshit Kakati, Amit Sharma, Samrat MondolList of authors in order
- Landing page
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https://doi.org/10.1101/2024.08.09.607316Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2024/08/09/2024.08.09.607316.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2024/08/09/2024.08.09.607316.full.pdfDirect OA link when available
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Population health, Population, Geography, Environmental planning, Environmental resource management, Business, Environmental health, Medicine, Environmental scienceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Assam | 144 |
| abstract_inverted_index.Manas | 112 |
| abstract_inverted_index.Orang | 149 |
| abstract_inverted_index.While | 13 |
| abstract_inverted_index.etc.) | 200 |
| abstract_inverted_index.other | 236 |
| abstract_inverted_index.parks | 95 |
| abstract_inverted_index.rhino | 38, 65, 82, 88, 119, 145 |
| abstract_inverted_index.seven | 92 |
| abstract_inverted_index.their | 53 |
| abstract_inverted_index.Indian | 35, 93 |
| abstract_inverted_index.across | 90 |
| abstract_inverted_index.annual | 138 |
| abstract_inverted_index.during | 9, 31 |
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| abstract_inverted_index.events | 199 |
| abstract_inverted_index.extant | 79, 164 |
| abstract_inverted_index.facing | 6, 47 |
| abstract_inverted_index.future | 74 |
| abstract_inverted_index.health | 225 |
| abstract_inverted_index.insist | 220 |
| abstract_inverted_index.mimics | 173 |
| abstract_inverted_index.mostly | 54 |
| abstract_inverted_index.rescue | 159 |
| abstract_inverted_index.seldom | 26 |
| abstract_inverted_index.showed | 108 |
| abstract_inverted_index.small, | 55 |
| abstract_inverted_index.source | 70 |
| abstract_inverted_index.strong | 130 |
| abstract_inverted_index.suited | 156 |
| abstract_inverted_index.unique | 87 |
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| abstract_inverted_index.Bengal) | 128 |
| abstract_inverted_index.Forward | 133 |
| abstract_inverted_index.Various | 1 |
| abstract_inverted_index.complex | 175 |
| abstract_inverted_index.efforts | 140 |
| abstract_inverted_index.genetic | 29, 66, 104, 120, 131, 134, 158, 168, 224 |
| abstract_inverted_index.greater | 36 |
| abstract_inverted_index.health, | 67, 121 |
| abstract_inverted_index.history | 177 |
| abstract_inverted_index.initial | 32 |
| abstract_inverted_index.ongoing | 11 |
| abstract_inverted_index.overall | 101 |
| abstract_inverted_index.prevent | 208 |
| abstract_inverted_index.regular | 197 |
| abstract_inverted_index.results | 107 |
| abstract_inverted_index.species | 2, 22, 43 |
| abstract_inverted_index.suggest | 183 |
| abstract_inverted_index.whereas | 122 |
| abstract_inverted_index.(ranging | 187 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Analyses | 84 |
| abstract_inverted_index.Gorumara | 125 |
| abstract_inverted_index.Overall, | 166 |
| abstract_inverted_index.Pobitora | 152 |
| abstract_inverted_index.alarming | 210 |
| abstract_inverted_index.assessed | 63 |
| abstract_inverted_index.assisted | 41 |
| abstract_inverted_index.carrying | 60 |
| abstract_inverted_index.concerns | 50 |
| abstract_inverted_index.conflict | 195 |
| abstract_inverted_index.detailed | 28 |
| abstract_inverted_index.enormous | 7 |
| abstract_inverted_index.habitats | 214 |
| abstract_inverted_index.identify | 231 |
| abstract_inverted_index.isolated | 56 |
| abstract_inverted_index.measures | 234 |
| abstract_inverted_index.patterns | 172 |
| abstract_inverted_index.proposed | 81 |
| abstract_inverted_index.provided | 73 |
| abstract_inverted_index.reaching | 58 |
| abstract_inverted_index.recovery | 180 |
| abstract_inverted_index.revealed | 96 |
| abstract_inverted_index.species. | 237 |
| abstract_inverted_index.suitable | 69 |
| abstract_inverted_index.survival | 49 |
| abstract_inverted_index.targeted | 232 |
| abstract_inverted_index.typifies | 39 |
| abstract_inverted_index.Jaldapara | 123 |
| abstract_inverted_index.Kaziranga | 110 |
| abstract_inverted_index.associate | 217 |
| abstract_inverted_index.currently | 46 |
| abstract_inverted_index.diversity | 169 |
| abstract_inverted_index.erosions. | 132 |
| abstract_inverted_index.genotypes | 89 |
| abstract_inverted_index.grassland | 191, 213 |
| abstract_inverted_index.habitats. | 83 |
| abstract_inverted_index.livestock | 193 |
| abstract_inverted_index.long-term | 48, 205 |
| abstract_inverted_index.measures, | 190 |
| abstract_inverted_index.paradigms | 4 |
| abstract_inverted_index.planning. | 33 |
| abstract_inverted_index.recovery, | 44 |
| abstract_inverted_index.scenarios | 76 |
| abstract_inverted_index.solutions | 186, 229 |
| abstract_inverted_index.suggested | 136 |
| abstract_inverted_index.supported | 19 |
| abstract_inverted_index.utilising | 222 |
| abstract_inverted_index.(Kaziranga | 147 |
| abstract_inverted_index.approaches | 17 |
| abstract_inverted_index.challenges | 8 |
| abstract_inverted_index.diversity. | 105 |
| abstract_inverted_index.endangered | 21 |
| abstract_inverted_index.histories. | 181 |
| abstract_inverted_index.identified | 68 |
| abstract_inverted_index.individual | 179 |
| abstract_inverted_index.management | 185, 228 |
| abstract_inverted_index.mitigative | 233 |
| abstract_inverted_index.moderately | 102 |
| abstract_inverted_index.one-horned | 37 |
| abstract_inverted_index.population | 23, 227 |
| abstract_inverted_index.protection | 189 |
| abstract_inverted_index.respective | 59 |
| abstract_inverted_index.species’ | 204 |
| abstract_inverted_index.undergoing | 129 |
| abstract_inverted_index.capacities. | 61 |
| abstract_inverted_index.information | 30 |
| abstract_inverted_index.management, | 196 |
| abstract_inverted_index.nation-wide | 64 |
| abstract_inverted_index.persistence | 206 |
| abstract_inverted_index.populations | 57, 71, 99, 146 |
| abstract_inverted_index.recoveries, | 24 |
| abstract_inverted_index.simulations | 135 |
| abstract_inverted_index.widely-used | 15 |
| abstract_inverted_index.conservation | 3 |
| abstract_inverted_index.evolutionary | 176 |
| abstract_inverted_index.populations. | 165 |
| abstract_inverted_index.restoration, | 192 |
| abstract_inverted_index.Anthropocene. | 12 |
| abstract_inverted_index.biodiversity. | 218 |
| abstract_inverted_index.park-specific | 184 |
| abstract_inverted_index.rhino-bearing | 94 |
| abstract_inverted_index.translocation | 75 |
| abstract_inverted_index.indices-driven | 226 |
| abstract_inverted_index.differentiation | 171 |
| abstract_inverted_index.supplementation | 139, 198 |
| abstract_inverted_index.migration-driven | 42 |
| abstract_inverted_index.genetically-isolated | 98 |
| abstract_inverted_index.reintroduction/translocation-based | 16 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5087183585 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I31888360 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.82422349 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |