The Spatial Scale of a Species’ Response to the Landscape Context Depends on which Biological Response You Measure

2018 ◽  
Vol 3 (1) ◽  
pp. 23-33 ◽  
Author(s):  
Amanda E. Martin
2019 ◽  
Vol 34 (4) ◽  
pp. 703-715 ◽  
Author(s):  
Andrew D. Moraga ◽  
Amanda E. Martin ◽  
Lenore Fahrig

BioScience ◽  
2004 ◽  
Vol 54 (3) ◽  
pp. 227 ◽  
Author(s):  
JEFFREY D. HOLLAND ◽  
DANIEL G. BERT ◽  
LENORE FAHRIG

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Monika H. Egerer ◽  
Courtney Arel ◽  
Michelle D. Otoshi ◽  
Robyn D. Quistberg ◽  
Peter Bichier ◽  
...  

2021 ◽  
Author(s):  
Ken Tabuchi ◽  
Akihiko Takahashi ◽  
Ryuji Uesugi ◽  
Shigeru Okudera ◽  
Hideto Yoshimura

Abstract ContextInter-regional relationships between landscape factors and biological responses under natural conditions are important but difficult to predict because of the differences in each landscape context and local environment. ObjectivesTo examine the inter-regional variability in relation to landscape factors and the biological response of an insect pest, we extrapolated a damage prediction model (‘the original model’) for rice using land-use data. We hypothesized that the original model would be applicable to new regions, but the predictive accuracy would be reduced. We predicted that adjusting the parameter coefficients would improve model performance (‘the adjusted model’). MethodsA field experiment was conducted in two regions that had a similar landscape context with the original region, in different years for each region, for four years in total. The proportion of rice damage and surrounding land-use within a 300-m radius was investigated. ResultsWhen ‘the original model’ was assigned to combined data from the original and extrapolated regions, the relationship between observed and predicted values was statistically significant, suggesting that there was an inter-regional common relationship. The relationship was not statistically significant if the model was applied only to the new regions. The adjusted model improved by 14% compared with the original model.ConclusionsThese results imply that in this pest–crop system, a common inter-regional biological response to arthropods is likely because of landscape factors, although local environmental factors must be considered. Application of such relationships is needed to identify or prevent pest hazards by offering region-wide management options.


2021 ◽  
Author(s):  
Ken Tabuchi ◽  
Akihiko Takahashi ◽  
Ryuji Uesugi ◽  
Shigeru Okudera ◽  
Hideto Yoshimura

Abstract ContextInter-regional relationships between landscape factors and biological responses under natural conditions are important but difficult to predict because of the differences in each landscape context and local environment. ObjectivesTo examine the inter-regional variability in relation to landscape factors and the biological response of an insect pest, we extrapolated a damage prediction model (‘the original model’) for rice using land-use data. We hypothesized that the original model would be applicable to new regions, but the predictive accuracy would be reduced. We predicted that adjusting the parameter coefficients would improve model performance (‘the adjusted model’). MethodsA field experiment was conducted in two regions that had a similar landscape context with the original region, in different years for each region, for four years in total. The proportion of rice damage and surrounding land-use within a 300-m radius was investigated. ResultsWhen ‘the original model’ was assigned to combined data from the original and extrapolated regions, the relationship between observed and predicted values was statistically significant, suggesting that there was an inter-regional common relationship. The relationship was not statistically significant if the model was applied only to the new regions. The adjusted model improved by 14% compared with the original model.ConclusionsThese results imply that in this pest–crop system, a common inter-regional biological response to arthropods is likely because of landscape factors, although local environmental factors must be considered. Application of such relationships is needed to identify or prevent pest hazards by offering region-wide management options.


Author(s):  
PA Peres ◽  
AP Ferreira ◽  
GBO Machado ◽  
M Azevedo-Silva ◽  
SGL Siqueira ◽  
...  

2018 ◽  
Vol 3 (2) ◽  
pp. 207-216 ◽  
Author(s):  
David Fisher ◽  
Lionel Sims

Claims first made over half a century ago that certain prehistoric monuments utilised high-precision alignments on the horizon risings and settings of the Sun and the Moon have recently resurfaced. While archaeoastronomy early on retreated from these claims, as a way to preserve the discipline in an academic boundary dispute, it did so without a rigorous examination of Thom’s concept of a “lunar standstill”. Gough’s uncritical resurrection of Thom’s usage of the term provides a long-overdue opportunity for the discipline to correct this slippage. Gough (2013), in keeping with Thom (1971), claims that certain standing stones and short stone rows point to distant horizon features which allow high-precision alignments on the risings and settings of the Sun and the Moon dating from about 1700 BC. To assist archaeoastronomy in breaking out of its interpretive rut and from “going round in circles” (Ruggles 2011), this paper evaluates the validity of this claim. Through computer modelling, the celestial mechanics of horizon alignments are here explored in their landscape context with a view to testing the very possibility of high-precision alignments to the lunar extremes. It is found that, due to the motion of the Moon on the horizon, only low-precision alignments are feasible, which would seem to indicate that the properties of lunar standstills could not have included high-precision markers for prehistoric megalith builders.


Sign in / Sign up

Export Citation Format

Share Document