2010
DOI: 10.1007/s10144-010-0227-4
|View full text |Cite
|
Sign up to set email alerts
|

Does landscape composition alter the spatiotemporal distribution of the pine processionary moth in a pine plantation forest?

Abstract: Landscape composition and physiognomy affect community structure and species distribution across space and time. The pine processionary moth (PPM) (Thaumetopoea pityocampa Den. & Schiff., Lepidoptera, Notodontidae) is a common pine defoliator throughout southern Europe and Mediterranean countries. We surveyed the spatiotemporal distribution of the PPM in a pine plantation forest in southwestern France and used the density of the winter nests as a proxy for population density. The study spanned 4 years (2005)(2… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

6
22
0

Year Published

2012
2012
2019
2019

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 26 publications
(29 citation statements)
references
References 46 publications
6
22
0
Order By: Relevance
“…All the correlograms are interpreted for distances ≤15,000 m. None of the tests highlights any significant autocorrelation (probability level equal to 0.01) of and between PPM pest abundance. The obtained results partially agree with Samalens and Rossi (2011) who, unlike us, considered a spatially homogeneous landscape. Fig.…”
Section: Sensitivity Analysissupporting
confidence: 90%
“…All the correlograms are interpreted for distances ≤15,000 m. None of the tests highlights any significant autocorrelation (probability level equal to 0.01) of and between PPM pest abundance. The obtained results partially agree with Samalens and Rossi (2011) who, unlike us, considered a spatially homogeneous landscape. Fig.…”
Section: Sensitivity Analysissupporting
confidence: 90%
“…This finding questions the host concentration hypothesis, according to which insect load should be greater in stands containing a larger number of host trees (Root, 1973). By contrast, it is consistent with the long-range dispersal capacities (several km) of the PPM (Robinet et al, 2012) and with the observation of spatial autocorrelations of PPM densities of the order of several kilometers (Samalens and Rossi, 2011). In our study area, maritime pine plantations account for more than 90% of the land cover (Samalens, 2009).…”
Section: Discussionsupporting
confidence: 78%
“…In addition, we used the edge density metric (ED) to quantify the shape and complexity of the habitat patches (Turner et al 2001). This index appeared of interest given that the PPM is known to preferentially colonize forest stand edges (Samalens and Rossi 2011). Computations were done under R with the package SDMTools (VanDerWal et al 2014).…”
Section: Landscape Configuration From the Ppm Viewpointmentioning
confidence: 99%