Patterns in bird and pollinator occupancy and richness in a mosaic of urban office parks across scales and seasons

Author:

Iknayan Kelly J.1ORCID,Heath Sacha K.1ORCID,Terrill Scott B.2,Wenny Daniel G.3,Panlasigui Stephanie1,Wang Yiwei3ORCID,Beller Erin E.4,Spotswood Erica N.15ORCID

Affiliation:

1. San Francisco Estuary Institute Richmond California USA

2. H. T. Harvey & Associates Los Gatos California USA

3. San Francisco Bay Bird Observatory Milpitas California USA

4. Real Estate and Workplace Services Sustainability Team, Google Inc. Mountain View California USA

5. Second Nature Oakland California USA

Abstract

AbstractUrbanization is a leading cause of global biodiversity loss, yet cities can provide resources required by many species throughout the year. In recognition of this, cities around the world are adopting strategies to increase biodiversity. These efforts would benefit from a robust understanding of how natural and enhanced features in urbanized areas influence various taxa. We explored seasonal and spatial patterns in occupancy and taxonomic richness of birds and pollinators among office parks in Santa Clara County, California, USA, where natural features and commercial landscaping have generated variation in conditions across scales. We surveyed birds and insect pollinators, estimated multi‐species occupancy and species richness, and found that spatial scale (local, neighborhood, and landscape scale), season, and urban sensitivity were all important for understanding how communities occupied sites. Features at the landscape (distance to streams or baylands) and local scale (tree canopy, shrub, or impervious cover) were the strongest predictors of avian occupancy in all seasons. Pollinator richness was influenced by local tree canopy and impervious cover in spring, and distance to baylands in early and late summer. We then predicted the relative contributions of different spatial scales to annual bird species richness by simulating “good” and “poor” quality sites based on influential covariates returned by the previous models. Shifting from poor to good quality conditions locally increased annual avian richness by up to 6.8 species with no predicted effect on the quality of the neighborhood. Conversely, sites of poor local and neighborhood scale quality in good‐quality landscapes were predicted to harbor 11.5 more species than sites of good local‐ and neighborhood‐scale quality in poor‐quality landscapes. Finally, more urban‐sensitive bird species were gained at good quality sites relative to urban tolerant species, suggesting that urban natural features at the local and landscape scales disproportionately benefited them.

Publisher

Wiley

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