{"query_echo":{"q":"","filters":{"analysis_type":["genetic analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'genetic analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=genetic+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwf-000407","url":"https://climateinsightsdirectory.org/document/wwf-000407","title":"RED PANDA STATUS IN BHUTAN","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2023","source_url":"https://www.worldwildlife.org/documents/692/3duh1dztfc_red_panda_report_2_.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A 2023 national survey in Bhutan identified 302 unique red pandas across 15 districts using non-invasive genetic analysis of 482 fecal samples. The study revealed a population structure consisting of three distinct genetic clusters (western, central, and eastern), with evidence of significant inbreeding (mean Fis = 0.55) and a historical population bottleneck approximately 5,000 years ago. While the population is currently in demographic equilibrium, the report emphasizes the need for habitat protection and the enhancement of biological corridors to facilitate gene flow and reduce genetic isolation.","ai_generated":true,"unit":"wwf-000407#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The national survey identified 302 unique red panda individuals from 482 collected fecal samples, with the highest concentrations found in Jigme Khesar Strict Nature Reserve (42 individuals) and Jigme Dorji National Park (39 individuals).","ai_generated":true,"unit":"wwf-000407#insight-1","date_modified":"2026-10-23"},{"text":"Red pandas were detected in 19 of Bhutan's 20 districts, with the only exception being Pemagatshel. The estimated Area of Occupancy (AOO) is 1,436 km², while the Extent of Occurrence (EOO) is 28,651.364 km².","ai_generated":true,"unit":"wwf-000407#insight-2","date_modified":"2026-10-23"},{"text":"Genetic analysis using microsatellites revealed a significant level of inbreeding within the Bhutanese red panda population, with a mean inbreeding coefficient (Fis) of 0.55 ± 0.044.","ai_generated":true,"unit":"wwf-000407#insight-3","date_modified":"2026-10-23"},{"text":"The population is structured into three distinct genetic clusters corresponding to western, central, and eastern Bhutan. The central population shows an admixed pattern, suggesting it may act as a mixing zone for gene flow between the western and eastern groups.","ai_generated":true,"unit":"wwf-000407#insight-4","date_modified":"2026-10-23"},{"text":"Mitochondrial DNA analysis identified 21 haplotypes in Bhutan, with Haplotype H3 being the most common across 13 districts. Haplotype sharing was also observed between red panda populations in Bhutan and India, indicating ancestral gene flow.","ai_generated":true,"unit":"wwf-000407#insight-5","date_modified":"2026-10-23"},{"text":"Demographic analysis suggests the population is currently in equilibrium, but a Bayesian skyline plot indicates a sharp decline in effective population size approximately 5,000 years ago, followed by a more recent expansion.","ai_generated":true,"unit":"wwf-000407#insight-6","date_modified":"2026-10-23"},{"text":"The study identifies several critical threats to red pandas in Bhutan, specifically free-roaming dogs used for livestock protection, habitat degradation caused by climate change, and a lack of ecological awareness among local communities.","ai_generated":true,"unit":"wwf-000407#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change","biodiversity conservation"],"geography_discussed":["India","People's Republic of China","Tibet"],"frame_perspective":[],"analysis_type":["population survey","genetic analysis","habitat suitability modelling"]},{"id":"wwf-000751","url":"https://climateinsightsdirectory.org/document/wwf-000751","title":"SNOW LEOPARD STATUS IN BHUTAN","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2023","source_url":"https://www.worldwildlife.org/documents/737/7r1onvdokp_NSLS_Report_B5.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The National Snow Leopard Survey 2022-2023 estimated a population of 134 snow leopards in Bhutan, representing a 39.5% increase from the 2016 baseline of 96 individuals. Using camera traps across 310 stations and non-invasive genetic analysis of scat, the study found higher population densities and habitat suitability in western Bhutan. The report reaffirms Bhutan as a conservation stronghold, noting the presence of breeding individuals and abundant prey, specifically blue sheep, while recommending strengthened patrolling, livestock insurance schemes, and periodic national surveys to maintain population viability.","ai_generated":true,"unit":"wwf-000751#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Bayesian Spatially Explicit Capture Recapture (SECR) model estimated the snow leopard population in Bhutan at 134 individuals (95% CI: 121 to 148), which is a 39.5% increase from the 2016 baseline of 96 individuals.","ai_generated":true,"unit":"wwf-000751#insight-1","date_modified":"2026-10-23"},{"text":"The mean density of snow leopards was estimated at 1.34 individuals per 100 km2 (95% CI: 1.2 to 1.48), with higher densities and more suitable habitats predicted in western Bhutan compared to central and eastern regions.","ai_generated":true,"unit":"wwf-000751#insight-2","date_modified":"2026-10-23"},{"text":"Camera trap data identified 96 adult individuals (45 male, 51 female) and 10 cubs, with the highest number of individuals captured in Jigme Dorji National Park (53).","ai_generated":true,"unit":"wwf-000751#insight-3","date_modified":"2026-10-23"},{"text":"Non-invasive genetic analysis of 184 carnivore fecal samples resulted in 71 positive detections for snow leopards, with 31 successfully genotyped to identify 22 unique individuals.","ai_generated":true,"unit":"wwf-000751#insight-4","date_modified":"2026-10-23"},{"text":"The survey recorded a high abundance of blue sheep, the primary prey of the snow leopard, across 185 camera stations, which supports the viability of the carnivore population.","ai_generated":true,"unit":"wwf-000751#insight-5","date_modified":"2026-10-23"},{"text":"The survey documented habitat overlap between snow leopards and other large carnivores, including tigers and common leopards, with some camera stations capturing both species.","ai_generated":true,"unit":"wwf-000751#insight-6","date_modified":"2026-10-23"},{"text":"The survey provided the first record of Thorold's deer (Cervus albirostris) in Bhutan, captured at a station in DFO Paro.","ai_generated":true,"unit":"wwf-000751#insight-7","date_modified":"2026-10-23"},{"text":"Human-snow leopard conflict persists due to livestock predation, particularly yak calves, with higher reported incidences in JKSNR, DFO Paro, and JDNP.","ai_generated":true,"unit":"wwf-000751#insight-8","date_modified":"2026-10-23"},{"text":"To ensure long-term survival, the report recommends establishing livestock insurance schemes, providing coral fencing to yak herders, and introducing community-based wildlife tourism in high-density areas.","ai_generated":true,"unit":"wwf-000751#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate change"],"geography_discussed":["Wangchuck Centennial National Park","Jigme Khesar Strict Nature Reserve","Bumdeling Wildlife Sanctuary","Jigme Singye Wangchuck National Park","Paro","Thimphu"],"frame_perspective":[],"analysis_type":["population survey","genetic analysis","habitat modelling"]},{"id":"wwf-001069","url":"https://climateinsightsdirectory.org/document/wwf-001069","title":"CRACKING THE CODE","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2019-08","source_url":"https://www.worldwildlife.org/documents/1635/wwf_a4_dna_report_digital_9082019_embargoed_copy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report details a successful pilot study to extract high-quality mitochondrial DNA (mtDNA) from hawksbill turtle carapace samples, enabling the tracing of illegal tortoiseshell products back to their source populations. By comparing DNA from market products in Papua New Guinea and the Solomon Islands against a nesting baseline, the study demonstrated that most products likely originated from the Solomon Islands stock. The authors emphasize the need for a comprehensive regional genetic database (the 'Shell Bank') to reduce the number of 'orphan' haplotypes and improve the accuracy of forensic investigations into the illegal wildlife trade.","ai_generated":true,"unit":"wwf-001069#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study successfully developed a reliable protocol for extracting and sequencing mtDNA from hawksbill turtle carapace, achieving high-quality sequences of more than 770 base-pairs for 20 turtle products.","ai_generated":true,"unit":"wwf-001069#insight-1","date_modified":"2026-10-23"},{"text":"Validation tests using live turtles from the Howick Group foraging ground showed that DNA sequences obtained from shell samples were identical to those from soft tissue samples of the same individual, confirming the method's accuracy.","ai_generated":true,"unit":"wwf-001069#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of tortoiseshell products collected from markets in Papua New Guinea and the Solomon Islands suggests they most likely originated from the Solomon Islands genetic stock rather than from Southeast Asia or Australia.","ai_generated":true,"unit":"wwf-001069#insight-3","date_modified":"2026-10-23"},{"text":"A significant portion of the market samples (33%) resulted in 'orphan' haplotypes, which are genetic signatures not yet identified in any known nesting population, highlighting a critical gap in the current regional baseline dataset.","ai_generated":true,"unit":"wwf-001069#insight-4","date_modified":"2026-10-23"},{"text":"New sampling at Milman Island (Queensland) and the Arnavon Islands (Solomon Islands) confirmed that these two rookeries are significantly differentiated and represent demographically independent stocks.","ai_generated":true,"unit":"wwf-001069#insight-5","date_modified":"2026-10-23"},{"text":"The report identifies a need to better define the geographical boundaries of genetic stocks, noting that the 'Solomon Islands' stock likely extends across the broader Bismarck-Solomon sea region rather than being limited to a single nesting beach.","ai_generated":true,"unit":"wwf-001069#insight-6","date_modified":"2026-10-23"}],"climate_tags":["biodiversity conservation"],"geography_discussed":["Australia","Solomon Islands","Papua New Guinea","United States"],"frame_perspective":[],"analysis_type":["pilot study","methodological development","genetic analysis"]},{"id":"wwf-000798","url":"https://climateinsightsdirectory.org/document/wwf-000798","title":"International Snow Leopard and Ecosystem Forum Science Symposium and Exposition Presentation Abstracts","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2017-08-24","source_url":"https://www.worldwildlife.org/documents/565/8cqkaq17cl_GSLEP_Compiled_Abstracts_2017.09.25_Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document provides a collection of research abstracts focusing on the intersection of climate change and snow leopard conservation. Key themes include the loss of potential habitat due to rising temperatures, the importance of ecosystem-based adaptation for mountain communities, and the role of community-led initiatives in reducing poaching and human-wildlife conflict. It also details genetic research identifying three snow leopard subspecies and explores the economic valuation of ecosystem services in high-mountain landscapes to incentivize conservation.","ai_generated":true,"unit":"wwf-000798#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is causing significant glacier loss in Nepal; from 1977 to 2010, the glacier area decreased by 24% and the volume of ice reserves decreased by 29%.","ai_generated":true,"unit":"wwf-000798#insight-1","date_modified":"2026-10-23"},{"text":"Modeling of potential snow leopard habitat under different climate scenarios predicts substantial losses by 2070: a 54% loss under the stabilizing RCP 4.5 scenario and a 61% loss under the worst-case RCP 8.5 scenario.","ai_generated":true,"unit":"wwf-000798#insight-2","date_modified":"2026-10-23"},{"text":"Certain mountain ranges—specifically Altai, Qilian, and Tian Shan-Pamir-Hindu Kush-Karakoram—have remained stable habitats since the last ice age and are expected to remain so until the late 21st century, serving as critical refugia.","ai_generated":true,"unit":"wwf-000798#insight-3","date_modified":"2026-10-23"},{"text":"Genetic analysis of snow leopards across their range supports the recognition of three distinct subspecies: Panthera uncia irbis (Northern), Panthera uncia uncia (Western), and Panthera uncia uncioides (Central).","ai_generated":true,"unit":"wwf-000798#insight-4","date_modified":"2026-10-23"},{"text":"The economic value of provisioning ecosystem services in snow leopard landscapes is high, estimated to be between 1.8 and nearly 40 times the local annual household incomes.","ai_generated":true,"unit":"wwf-000798#insight-5","date_modified":"2026-10-23"},{"text":"Poaching data from 2003 to mid-2016 indicates that the majority of snow leopards are killed in retaliation for livestock attacks (55%) or by non-targeted methods like snares (18%), while only 21% are poached specifically for illegal trade.","ai_generated":true,"unit":"wwf-000798#insight-6","date_modified":"2026-10-23"},{"text":"In Mongolia, a student-led campaign in Khovd Province resulted in the collection of 234 jaw traps through an exchange program, leading the province to become the first in Mongolia to ban jaw traps and snares for hunting.","ai_generated":true,"unit":"wwf-000798#insight-7","date_modified":"2026-10-23"},{"text":"The Tost-Tosonbumba Mountain area in Mongolia was approved as a Nature Reserve on April 14, 2016, marking the first park in the world dedicated specifically to snow leopards.","ai_generated":true,"unit":"wwf-000798#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change","glacial melting","ecosystem-based adaptation","biodiversity conservation","ecosystem service","sustainable development"],"geography_discussed":["Nepal","Bhutan","India","Pakistan","Kyrgyzstan","Mongolia","People's Republic of China","Tajikistan","Russia","Kazakhstan","Afghanistan","Uzbekistan","Turkmenistan","Tibetan Plateau","Ladakh","Khovd Province"],"frame_perspective":[],"analysis_type":["literature review","modeling","case study","genetic analysis","economic valuation"]}]}