Literature DB >> 24527888

Contribution of urban expansion and a changing climate to decline of a butterfly fauna.

Kayce L Casner1, Matthew L Forister, Joshua M O'Brien, James Thorne, David Waetjen, Arthur M Shapiro.   

Abstract

Butterfly populations are naturally patchy and undergo extinctions and recolonizations. Analyses based on more than 2 decades of data on California's Central Valley butterfly fauna show a net loss in species richness through time. We analyzed 22 years of phenological and faunistic data for butterflies to investigate patterns of species richness over time. We then used 18-22 years of data on changes in regional land use and 37 years of seasonal climate data to develop an explanatory model. The model related the effects of changes in land-use patterns, from working landscapes (farm and ranchland) to urban and suburban landscapes, and of a changing climate on butterfly species richness. Additionally, we investigated local trends in land use and climate. A decline in the area of farmland and ranchland, an increase in minimum temperatures during the summer and maximum temperatures in the fall negatively affected net species richness, whereas increased minimum temperatures in the spring and greater precipitation in the previous summer positively affected species richness. According to the model, there was a threshold between 30% and 40% working-landscape area below which further loss of working-landscape area had a proportionally greater effect on butterfly richness. Some of the isolated effects of a warming climate acted in opposition to affect butterfly richness. Three of the 4 climate variables that most affected richness showed systematic trends (spring and summer mean minimum and fall mean maximum temperatures). Higher spring minimum temperatures were associated with greater species richness, whereas higher summer temperatures in the previous year and lower rainfall were linked to lower richness. Patterns of land use contributed to declines in species richness (although the pattern was not linear), but the net effect of a changing climate on butterfly richness was more difficult to discern.
© 2014 Society for Conservation Biology.

Entities:  

Keywords:  Lepidoptera; biodiversidad; biodiversity; clima; climate; generalized additive model; land use; modelo aditivo generalizado; riqueza de especies; species richness; uso de suelo

Mesh:

Year:  2014        PMID: 24527888     DOI: 10.1111/cobi.12241

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  5 in total

1.  Insects and recent climate change.

Authors:  Christopher A Halsch; Arthur M Shapiro; James A Fordyce; Chris C Nice; James H Thorne; David P Waetjen; Matthew L Forister
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

2.  Increasing neonicotinoid use and the declining butterfly fauna of lowland California.

Authors:  Matthew L Forister; Bruce Cousens; Joshua G Harrison; Kayce Anderson; James H Thorne; Dave Waetjen; Chris C Nice; Matthew De Parsia; Michelle L Hladik; Robert Meese; Heidi van Vliet; Arthur M Shapiro
Journal:  Biol Lett       Date:  2016-08       Impact factor: 3.703

3.  Diversity and density of butterfly communities in urban green areas: an analytical approach using GIS.

Authors:  Cheol Min Lee; Jin Wook Park; Tae-Sung Kwon; Sung-Soo Kim; Jae Won Ryu; Seung Jae Jung; Sun Kyung Lee
Journal:  Zool Stud       Date:  2015-01-03       Impact factor: 2.058

4.  Understanding a migratory species in a changing world: climatic effects and demographic declines in the western monarch revealed by four decades of intensive monitoring.

Authors:  Anne E Espeset; Joshua G Harrison; Arthur M Shapiro; Chris C Nice; James H Thorne; David P Waetjen; James A Fordyce; Matthew L Forister
Journal:  Oecologia       Date:  2016-03-21       Impact factor: 3.225

5.  Synchronous population dynamics in California butterflies explained by climatic forcing.

Authors:  Nicholas A Pardikes; Joshua G Harrison; Arthur M Shapiro; Matthew L Forister
Journal:  R Soc Open Sci       Date:  2017-07-19       Impact factor: 2.963

  5 in total

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