Bird Abundance Surveys in Australian Arid Zone Over Six Years
by Susan F. Gould·Updated 16d ago
61.4 KB2files
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Description
Bird assemblage surveys conducted on two conservation reserves in north-western NSW over six years, covering a sequence of dry, wet, and dry conditions. The study recorded species richness and total abundance, noting peak abundance during driest years driven by nomadic woodswallows. The dataset likely contains records of bird species, their abundances, movement behaviors, and correlations with vegetation and rainfall.
Use Cases
Analyze bird-habitat associations based on survey data from two adjoining conservation reserves.
Model the relationship between bird abundance and rainfall conditions over a six-year period.
Study the movement behavior of nomadic bird species, such as Masked and White-browed Woodswallows, in relation to flowering events.
Correlate bird assemblage variation with remotely sensed Normalized Difference Vegetation Index (NDVI) data.
Identify patterns of species abundance and composition changes driven by inter-annual climatic differences.
Strengths
Six-year temporal coverage through a sequence of dry-wet-dry conditions, including Australia's driest and warmest year on record.
Surveys aimed to identify bird-habitat associations and assess changing abundances, providing a longitudinal ecological study.
Analysis includes correlation with remotely sensed NDVI, linking ground observations to satellite data.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data size is 61.4 KB, indicating a very limited scope and likely small number of records.
Provenance
Source
figshare
Collection Method
Bird assemblages were surveyed on two adjoining conservation reserves.
Time Range
Six years through a sequence of dry – wet – dry conditions.
Freshness
Last updated 2026-05-22 00:16:31; freshness should be verified.
Geography
North-western NSW, Australia.
License is CC-BY-4.0. File format is DOCX, which may require specific tools for data extraction.