Conservation Priority Assessment of Birds in Gilgit-Baltistan, Pakistan

1. Introduction

1.1 Study Area

Gilgit-Baltistan is the northernmost administrative territory of Pakistan, covering approximately 72,971 km² in the Western Himalayas. The region is characterized by extreme topographic relief, ranging from 1,000m to over 8,000m elevation, encompassing the confluence of three major mountain ranges: the Himalayas, Karakoram, and Hindu Kush. This diverse topography creates a mosaic of habitats supporting rich biodiversity.

The region experiences a continental climate with cold winters and mild summers. Vegetation zones range from subtropical scrublands at lower elevations to alpine meadows and permanent snow at higher elevations. These diverse habitats support a variety of bird species, including resident, migratory, and vagrant species.

1.2 Conservation Context

Despite its ecological significance, Gilgit-Baltistan remains under-studied compared to other Himalayan regions. Recent development pressures, including infrastructure expansion, climate change, and habitat modification, pose increasing threats to biodiversity. Comprehensive baseline data on species distributions and conservation priorities are essential for effective management.

1.3 Objectives

This study aims to:

• Document bird species diversity across Gilgit-Baltistan using open-access biodiversity databases
• Identify species of conservation concern based on rarity, range restriction, and population trends
• Determine priority geographic areas for conservation action
• Provide evidence-based recommendations for conservation planning and monitoring

2. Methodology

2.1 Data Collection

2.2 Conservation Priority Assessment

2.3 Analytical Tools

All analyses were conducted in R (version 4.5.1) using the following packages: rgbif, rinat, tidyverse, sf, rnaturalearth, ggplot2, and viridis. Spatial analysis employed a geographic coordinate system (WGS84, EPSG:4326).

3. Results

3.1 Dataset Overview

3.2 Temporal Patterns

Bird observations span 1981-2025, with a dramatic increase in recent years. Over 94% of all records were collected after 2020, reflecting increased citizen science participation and improved data accessibility. Summer months (June-August) showed the highest observation frequency, corresponding to the breeding season and peak accessibility to high-altitude areas.

3.3 Spatial Distribution

Bird observations were distributed across 574 grid cells, though coverage was highly uneven. Central Gilgit-Baltistan, particularly around Gilgit city (73.5°E, 34.6°N), showed the highest observation density and species richness. Northern and high-altitude regions remain significantly under-surveyed.

3.4 Species Frequency Distribution

Species frequency was highly skewed, with most species being rare or uncommon:

Frequency Category	Record Range	Number of Species	Percentage
Very Rare	1-4 records	294	66.7%
Rare	5-9 records	47	10.7%
Uncommon	10-19 records	35	7.9%
Moderate	20-49 records	28	6.3%
Common	50-99 records	13	2.9%
Very Common	100+ records	24	5.4%

This distribution indicates that the majority of species in Gilgit-Baltistan are either genuinely rare or remain poorly documented.

3.5 Conservation Priority Species

Top Critical Priority Species

The following species received the highest conservation priority scores:

Common Name	Scientific Name	Records	Grid Cells	Priority Score
Rosy Finch	Carpodacus rubicilloides	2	2	100
Red-necked Phalarope	Phalaropus lobatus	2	2	100
Little Owl	Athene noctua	1	2	100
Tibetan Snowcock	Tetraogallus tibetanus	1	1	100
Northern Lapwing	Vanellus vanellus	1	1	100

3.6 Priority Conservation Areas

Top Priority Locations

Rank	Coordinates	Priority Score	Total Species	Priority Species
1	73.5°E, 34.6°N	87.9	162	62
2	73.4°E, 34.1°N	65.0	138	45
3	73.7°E, 34.9°N	57.9	100	38
4	73.9°E, 35.1°N	56.8	91	35
5	74.8°E, 34.1°N	50.3	99	32

3.7 Most Recorded Species

The ten most frequently recorded species account for 29.6% of all observations, dominated by human-commensal and generalist species:

Rank	Common Name	Scientific Name	Total Records
1	Common Myna	Acridotheres tristis	1,365
2	House Crow	Corvus splendens	1,157
3	House Sparrow	Passer domesticus	1,040
4	Red-vented Bulbul	Pycnonotus cafer	807
5	Barn Swallow	Hirundo rustica	538
6	Large-billed Crow	Corvus macrorhynchos	317
7	Little Swift	Apus affinis	312
8	Eurasian Tree Sparrow	Passer montanus	289
9	Black Drongo	Dicrurus macrocercus	286
10	Long-tailed Shrike	Lanius schach	271

4. Discussion

4.1 Species Diversity and Rarity

Our dataset of 441 species exceeds the 380 species documented by Birds of Gilgit-Baltistan website, suggesting either broader geographic coverage or inclusion of vagrant species. The high proportion of rare species (77.4% with <10 records) may reflect genuine rarity, under-sampling, or both. Species such as Tibetan Snowcock and Rosy Finch are known high-altitude specialists with naturally restricted distributions, validating their critical priority status.

4.2 Sampling Bias and Data Limitations

Observation effort was highly concentrated around Gilgit city, creating potential biases in richness estimates. The top priority area (73.5°E, 34.6°N) had 1,410 observations—nearly 8% of the entire dataset. While this location genuinely harbors high diversity, its priority status is partly inflated by sampling intensity. Our effort-corrected richness metric partially addresses this bias by accounting for survey frequency.

The dramatic increase in records post-2020 reflects the rise of citizen science platforms (particularly iNaturalist) rather than actual population increases. This temporal bias limits our ability to assess long-term trends. Additionally, winter months and high-altitude areas remain significantly under-sampled.

4.3 Conservation Implications

4.4 Methodological Considerations

Our multi-criteria priority assessment provides a transparent, replicable framework for conservation planning. The weighting scheme (40% rarity, 30% range restriction, 30% trend) can be adjusted based on local management priorities. Alternative approaches might incorporate additional criteria such as:

• Phylogenetic distinctiveness
• Ecological roles (pollinators, seed dispersers)
• Cultural or economic value
• Threat sensitivity (habitat specialists vs. generalists)

4.5 Comparison with Other Studies

Limited published research on Gilgit-Baltistan birds restricts comparative analysis. However, our findings align with regional patterns showing:

• High diversity in mid-elevation zones (2,000-3,500m)
• Concentration of endemic and range-restricted species in Himalayan regions
• Dominance of human-commensal species in urban areas
• Under-representation of cryptic and nocturnal species in citizen science data

5. Recommendations

5.1 Immediate Actions

5.2 Long-term Monitoring

• Establish baseline monitoring: Systematic surveys in priority grid cells (quarterly visits)
• Citizen science expansion: Train local observers and promote iNaturalist usage
• Seasonal coverage: Prioritize winter and migration period surveys
• High-altitude surveys: Target under-sampled areas above 3,500m elevation
• Annual assessments: Update priority rankings as new data accumulates

5.3 Research Priorities

• Species distribution modeling for range-restricted species
• Climate change vulnerability assessment for high-altitude species
• Breeding ecology and phenology studies
• Comparison with historical records to detect long-term trends
• Integration with eBird data for improved temporal coverage

5.4 Policy Recommendations

• Incorporate priority areas into regional land-use planning
• Develop species-specific conservation action plans for critical priority species
• Strengthen environmental impact assessment requirements in priority areas
• Support community-based conservation initiatives
• Enhance collaboration between Forest Department and research institutions

6. Limitations

6.1 Data Limitations

• Sampling bias: Heavy concentration around accessible urban areas (Gilgit city)
• Temporal gaps: 94% of records from 2020-2025; limited historical baseline
• Seasonal bias: Under-representation of winter months and migration periods
• Geographic gaps: Northern regions and high-altitude areas poorly surveyed
• Taxonomic verification: Citizen science records may include identification errors
• Detection probability: Cryptic, nocturnal, and rare species likely under-detected

6.2 Analytical Limitations

• Absence of true population data: Occurrence records do not quantify abundance
• Limited trend analysis: Short time series prevents robust temporal trend assessment
• No habitat data: Analysis lacks vegetation, land-use, or environmental covariates
• Pseudo-absence issues: Cannot distinguish true absence from lack of survey effort
• Arbitrary thresholds: Priority score categories based on expert judgment rather than empirical criteria

6.3 Conservation Assessment Limitations

• Local rarity may not reflect global conservation status
• No integration with IUCN Red List categories due to API constraints
• Missing information on population trends, threats, and ecological requirements
• Priority rankings sensitive to weighting scheme choices
• Does not account for phylogenetic diversity or functional roles

7. Conclusions

This study provides the first comprehensive, data-driven conservation priority assessment for birds of Gilgit-Baltistan. Analysis of 17,685 observations representing 441 species revealed that 84% of species warrant conservation attention due to rarity, range restriction, or population concerns. We identified 162 critical priority species requiring immediate monitoring and five geographic priority areas for protection.

Key findings include:

• High proportion of rare species (77% with <10 records) suggests either genuine rarity or significant under-sampling
• Species diversity concentrated in central Gilgit-Baltistan, particularly around Gilgit city
• Critical priority species include high-altitude specialists vulnerable to climate change
• Large geographic and temporal data gaps limit comprehensive assessment
• Citizen science contributions (iNaturalist) dramatically increased recent data availability

Our priority framework provides a foundation for evidence-based conservation planning in this under-studied region. However, field verification of rare species, expansion of survey coverage, and long-term monitoring programs are essential next steps. Integration of this analysis with habitat data, climate projections, and socioeconomic factors will strengthen conservation strategies.

As development pressures intensify in Gilgit-Baltistan, timely conservation action for priority species and areas is critical. This assessment offers decision-makers a scientifically defensible roadmap for allocating limited conservation resources to maximize biodiversity protection in this globally significant Himalayan region.

8. Acknowledgments

This study relied entirely on open-access biodiversity data generously shared by the global research community. We acknowledge:

• GBIF network: Museums, herbaria, research institutions, and individual observers who contributed occurrence records
• iNaturalist community: Citizen scientists who documented and verified observations
• Birds of Gilgit-Baltistan initiative: For raising awareness and documenting regional avifauna
• Forest, Parks and Wildlife Department, Gilgit-Baltistan: For ongoing conservation efforts
• R Core Team and package developers: For providing open-source analytical tools

9. References

10. Data Availability Statement

All data and code supporting this study are publicly available:

• GitHub Repository: https://github.com/Syedinzimam/gb_birds_conservation
• Raw occurrence data: Downloaded from GBIF (https://www.gbif.org) and iNaturalist (https://www.inaturalist.org)
• Processed datasets: Available in repository under data/processed/
• Analysis scripts: Fully documented R code in repository under scripts/
• Figures and tables: Available in repository under outputs/

Data are released under CC-BY 4.0 license. Researchers are encouraged to use and build upon this work with appropriate citation.

11. Author Contributions

Syed Inzimam Ali Shah: Conceptualization, data collection, analysis, visualization, writing, and project administration.

12. Funding

This research received no specific grant from any funding agency. All analyses were conducted using freely available data and open-source software.

13. Conflict of Interest

The author declares no conflicts of interest.

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