DOI: 10.22215/etd/2022-15076
|View full text |Cite
|
Sign up to set email alerts
|

The Independent Effects of Forest Amount, Fragmentation and Structural Connectivity on Small Mammals' Diversity, Abundance and Occurrence

Abstract: Although habitat amount, fragmentation, and connectivity are thought to be important drivers of biodiversity, their independent effects have not been evaluated. We selected 70 forested sites in Ontario, Canada, such that forest amount, fragmentation (number of patches), and structural connectivity (treed corridors) in the surrounding x within multiple spatial extents around 70 sampling sites. All relative abundances were standardized. A: relative abundance (number of papers with presence) of P. leucopus per si… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 106 publications
0
1
0
Order By: Relevance
“…To accurately delineate LWFs, we used two geospatial data sets: (1) a 10‐m‐resolution land cover map derived from Sentinel 2 satellite imagery in 2016, which classified noncrop land covers and natural or seminatural patches, such as LWFs, and (2) a manually digitized map of all woody features (wooded patches and LWFs) from high‐resolution satellite imagery in 2019 (Daly, 2022; Gabriel, 2022; Hajdasz, 2023). We combined these two data sets and validated map accuracy with 302 random samples extracted from high‐resolution orthophotos in the Digital Raster Acquisition Project Eastern Ontario (DRAPE).…”
Section: Methodsmentioning
confidence: 99%
“…To accurately delineate LWFs, we used two geospatial data sets: (1) a 10‐m‐resolution land cover map derived from Sentinel 2 satellite imagery in 2016, which classified noncrop land covers and natural or seminatural patches, such as LWFs, and (2) a manually digitized map of all woody features (wooded patches and LWFs) from high‐resolution satellite imagery in 2019 (Daly, 2022; Gabriel, 2022; Hajdasz, 2023). We combined these two data sets and validated map accuracy with 302 random samples extracted from high‐resolution orthophotos in the Digital Raster Acquisition Project Eastern Ontario (DRAPE).…”
Section: Methodsmentioning
confidence: 99%