scholarly journals Spatial patterns of the Ryukyu Scops Owl’s Otus elegans breeding success and forest landscape factors on Amami-Ōshima Island

2019 ◽  
Vol 68 (1) ◽  
pp. 19-28
Author(s):  
Tohki INOUE ◽  
Mai MATSUMOTO ◽  
Takehito YOSHIDA ◽  
Izumi WASHITANI
2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Xanic J. Rondon ◽  
Graeme S. Cumming ◽  
Rosa E. Cossío ◽  
Jane Southworth

To study the impacts of selective logging behaviors on a forest landscape, we developed an intermediate-scale spatial model to link cross-scale interactions of timber harvesting, a fine-scale human activity, with coarse-scale landscape impacts. We used the Lotka-Volterra predator-prey model with Holling’s functional response II to simulate selective logging, coupled with a cellular automaton model to simulate logger mobility and forest fragmentation. Three logging scenarios were simulated, each varying in timber harvesting preference and logger mobility. We quantified forest resilience by evaluating (1) the spatial patterns of forest fragmentation, (2) the time until the system crossed a threshold into a deforested state, and (3) recovery time. Our simulations showed that logging behaviors involving decisions made about harvesting timber and mobility can lead to different spatial patterns of forest fragmentation. They can, together with forest management practices, significantly delay or accelerate the transition of a forest landscape to a deforested state and its return to a recovered state. Intermediate-scale models emerge as useful tools for understanding cross-scale interactions between human activities and the spatial patterns that are created by anthropogenic land use.


2016 ◽  
Vol 22 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Kimberly M. Fornace ◽  
Tommy Rowel Abidin ◽  
Neal Alexander ◽  
Paddy Brock ◽  
Matthew J. Grigg ◽  
...  

2020 ◽  
Vol 419 ◽  
pp. 108964
Author(s):  
Trevor D. Lata ◽  
Pierre A. Deymier ◽  
Keith Runge ◽  
François-Michel Le Tourneau ◽  
Régis Ferrière ◽  
...  

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Xinliang Shao ◽  
Qin Zhang ◽  
Xitian Yang

Abstract Background Insect herbivory has profound impacts on ecosystem processes and services. Although many efforts have been made to recognize the main drivers of insect herbivory at different scales, the results are inconsistent. One likely reason is that studies have insufficiently captured the spatially heterogeneous factors such as soil type and forest stratum within the stand that may significantly affect insect herbivory. In particular, there is a lack of studies that address the detailed spatial patterns of insect herbivory which are influenced by these factors. Methods We measured the detailed spatial patterns of insect herbivory on cork oak (Quercus variabilis Bl.) in response to soil type (gravel soil and loam) and forest stratum (the upper, lower, and sapling stratum), and correlated these patterns with a set of influencing factors (litter coverage, coverage of shrubs and herbs, soil nutrients, soil moisture, and leaf traits) in a forest landscape. Results Generally, insect herbivory was spatially heterogeneous within stands. Herbivory was significantly lower in gravel soil areas than in loam soil areas and the highest herbivory occurred in the lower stratum. However, there were also 41 individual plots in which the highest herbivory occurred in the upper stratum and 29 plots in which the highest herbivory occurred in the sapling stratum. There were significant differences in soil nutrient and water status between soil types, but no significant differences in leaf traits. The effects of forest stratum on leaf traits were also inconsistent with those on insect herbivory. Conclusions Leaf traits may not be the main factors influencing insect herbivory in the field. Soil type may have major effects on herbivory patterns by influencing litter coverage while higher coverage of shrubs and herbs may reduce herbivory in the sapling stratum. These findings may advance our understanding of tree-herbivore interactions in real-world situations and have important implications for the sustainable management of forest ecosystems.


2014 ◽  
Vol 28 (5) ◽  
pp. 1249-1259 ◽  
Author(s):  
JASON T. FISHER ◽  
MATTHEW WHEATLEY ◽  
DARRYL MACKENZIE

2016 ◽  
Vol 158 (2) ◽  
pp. 443-457 ◽  
Author(s):  
Steffen Oppel ◽  
Vladimir Dobrev ◽  
Volen Arkumarev ◽  
Victoria Saravia ◽  
Anastasios Bounas ◽  
...  

2020 ◽  
Vol 638 ◽  
pp. 177-190
Author(s):  
AB Olin ◽  
NS Banas ◽  
PJ Wright ◽  
MR Heath ◽  
RG Nager

Synchrony in demographic rates between spatially disjunct populations is a widespread phenomenon, although the underlying mechanisms are often not known. This synchrony and its spatial patterns can have important consequences for the long-term persistence of metapopulations and can also be used to infer drivers of population dynamics. Here, we examined spatial patterns of synchrony in the breeding success of black-legged kittiwakes Rissa tridactyla in the UK, using an extensive dataset on kittiwake breeding success and 2 different ways of measuring synchrony: one reflecting synchrony in inter-annual fluctuations only (rdiff) and one reflecting synchrony in both inter-annual fluctuations and long-term trends (r). We found that between-colony synchrony in breeding success decreased with distance up to just over 200 km but that some colony pairs showed stronger or weaker synchrony than expected based on distance. This was also reflected in the configuration of spatially coherent clusters of kittiwake colonies with synchronous breeding success. Further, we compared the support for different drivers of these spatial patterns, including trophic interactions and weather conditions. We found that the spatial dynamics of the kittiwakes’ main prey in this region, the lesser sandeel Ammodytes marinus, appeared to play some role in generating synchrony in long-term patterns, but their role in generating synchrony in inter-annual fluctuations was less clear. The study shows that examining spatial patterns in synchrony can provide useful information for inferring potential drivers and the spatial scale over which they are acting.


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