2019
DOI: 10.1002/ece3.5795
|View full text |Cite
|
Sign up to set email alerts
|

Climatic and vegetational drivers of insect beta diversity at the continental scale

Abstract: Aim We construct a framework for mapping pattern and drivers of insect diversity at the continental scale and use it to test whether and which environmental gradients drive insect beta diversity. Location Global; North and Central America; Western Europe. Time period 21st century. Major taxa studied Insects. Methods An informatics system was developed to integrate terrestrial data on insects with environmental parameters. We mined repositories of data for distribution, climatic data were retrieved (WorldClim),… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

3
11
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 18 publications
(15 citation statements)
references
References 70 publications
3
11
1
Order By: Relevance
“…The ability of our model to capture the β-diversity patterns of Chilean wild bee assemblages measured as the percentage of explained deviance in our compositional model is 34%, which is lower than some other studies on insect groups (Chesters et al, 2019), but it is in line with results from areas with considerable turnover and limited well-sampled sites (Laidlaw et al, 2016). Stochastic, historical and evolutionary processes, which were not captured by our models, might also drive compositional dissimilarity (Wiens and Donoghue 2004, Ricklefs 2008, Warren et al, 2014).…”
Section: Discussionsupporting
confidence: 80%
“…The ability of our model to capture the β-diversity patterns of Chilean wild bee assemblages measured as the percentage of explained deviance in our compositional model is 34%, which is lower than some other studies on insect groups (Chesters et al, 2019), but it is in line with results from areas with considerable turnover and limited well-sampled sites (Laidlaw et al, 2016). Stochastic, historical and evolutionary processes, which were not captured by our models, might also drive compositional dissimilarity (Wiens and Donoghue 2004, Ricklefs 2008, Warren et al, 2014).…”
Section: Discussionsupporting
confidence: 80%
“…Although the effects of horizontal distance on species turnover have been examined at large spatial scales (kilometers; Chesters et al, 2019 ), it is often considered to be negligible at small scales (metres), and therefore has rarely been incorporated into studies on vertical stratification patterns (Roisin et al, 2006 ; Weiss et al, 2016 ). However, in complex ecosystems with high three‐dimensional structural heterogeneity, such as coral reefs and tropical rainforests, abiotic and biotic factors can vary greatly both horizontally and vertically across short distances (Reaka‐Kudla, 1997 ), driving small‐scale variation in community composition (Davies & Asner, 2014 ).…”
Section: Introductionmentioning
confidence: 99%
“…Although the effects of horizontal distance on species turnover have been examined at large spatial scales (kilometers; Chesters et al, 2019), it is often considered to be negligible at small scales (metres), and therefore has rarely been incorporated into studies on vertical stratification patterns (Roisin et al, 2006;Weiss et al, 2016).…”
mentioning
confidence: 99%
“…Hence, additive heterogenization and subtractive homogenization cannot be found, when communities within one region are compared, as higher turnover mathematically is based on smaller species subsets. For insect communities, there are only a few β-diversity studies, mainly focusing on aquatic (Hepp et al 2012 ; McCreadie and Adler 2018 ) and tropical insect communities (Beck et al 2012 ; Kitching et al 2013 ; Novotny et al 2007 ) or conducted at much larger geographical scales (Chesters et al 2019 ). Smaller-scale variation in β-diversity, especially in fragmented conservation areas, however, is until today only poorly understood.…”
Section: Discussionmentioning
confidence: 99%