Network dynamics revealed from eDNA highlight seasonal variation in urban mammal communities
Data files
Jun 19, 2025 version files 2.58 MB
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Detroit_eDNA_master_dataJH.csv
2.57 MB
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README.md
2.74 KB
Abstract
Urban ecosystems are expanding rapidly, significantly altering natural landscapes and impacting biodiversity. Here we explore seasonal variation in mammal diversity using environmental DNA (eDNA) from soil samples collected during winter and summer across 21 urban parks in Detroit, Michigan. We estimated gamma (regional), alpha (local), and beta (compositional change) diversity to determine if seasonal shifts, reflecting winter scarcity and summer abundance in mammal community composition and human activity, could be detected using eDNA. We expected that larger parks would exhibit greater diversity and higher seasonal turnover, consistent with the species-area relationship (SAR), and hypothesised that increased summer resource availability would lead to decreased network density as species disperse more broadly. We found that urban parks show subtle, park-specific changes in community composition influenced by both ecological and anthropogenic factors, with species including striped skunk, brown rat, and groundhog responsible for the observed seasonal variation. Consistent with the SAR, larger parks supported higher species richness and diversity. Ecological network analysis, focusing on metrics such as clustering coefficient and network density, revealed a decrease in the overall connectivity and cohesiveness of species interactions from winter to summer, supporting our hypothesis of broader species dispersal during resource-rich periods. Notably, human DNA was prevalent in all parks, alongside detections of pig and cow eDNA, potentially reflecting human disturbance and anthropogenic food inputs. Our findings underscore the efficacy of eDNA analysis in capturing urban mammal community dynamics, the impact of human activities on biodiversity, and its potential as a valuable tool for urban ecological research. Ultimately, enhancing monitoring capacity aids in conservation and urban planning efforts that will promote human-wildlife coexistence and preserve the socio-ecological benefits stemming from biodiversity across cityscapes.
Dataset DOI: 10.5061/dryad.905qfttvb
Description of the data and file structure
This dataset contains environmental DNA (eDNA) metabarcoding results from soil samples collected across 21 urban parks in Detroit, Michigan. The data represent vertebrate species detections across two seasons (Winter and Summer), aimed at evaluating spatial and seasonal variation in mammal community composition and biodiversity in urban green spaces.
Files and variables
File: Detroit_eDNA_master_dataJH.csv
Description:
Variables
- Park: Name of the Detroit urban park
- Sample_ID: Unique identifier for each DNA sample (camera trap-season-extraction replicate)
- ID: Park sublocation (camera trap)
- Season: Sampling winter or summer
- Extraction_replicate: Three extraction replicates were made from each soil sample
- Identity: Best match taxonomic assignment from BLAST
- ASV: Amplicon Sequence Variant ID assigned via DADA2 pipeline
- Common: Common name of detected species from
- Readcount: Number of reads assigned to the ASV in the sample after removal of contamination
- Extraction_date_dmy: Date of DNA extraction (day-month-year format)
- final.weight..g.: Weight of sample used in extraction (grams)
- Nanodrop_conc_ng.uL: DNA concentration measured with Nanodrop (ng/μL) for quality control
- Nanodrop_260.280: Nanodrop purity ratio (260/280) for quality control
- Sequence: DNA sequence of the ASV
- sseqid: Subject sequence ID from the BLAST reference database
- pident: Percent identity from sequence alignment
- length: Alignment length
- mismatch: Number of mismatches in alignment
- gapopen: Number of gap openings in alignment
- qstart: Query start position
- qend: Query end position
- sstart: Subject sequence start
- send: Subject sequence end
- evalue: BLAST statistics for alignment confidence. Estimates the number of matches expected by chance; lower values indicate more significant hits.
- bitscore: BLAST statistics for alignment confidence. Reflects the alignment quality; higher scores indicate better sequence similarity.
- superkingdom: Taxonomic classification
- phylum: Taxonomic classification
- class: Taxonomic classification
- order: Taxonomic classification
- family: Taxonomic classification
- genus: Taxonomic classification
- species: Taxonomic classification
Access information
Other publicly accessible locations of the data:
- NA
Data was derived from the following sources:
- Sequencing was conducted at the Yale Center for Genomic Analysis and prepared using cutadapt, DADA2, and BLAST as stated in Methods.
