Using human-dimensions research to reduce implementation uncertainty for wildlife management: a case of moose (Alces alces) hunting in northern Ontario, Canada

2013 ◽  
Vol 40 (1) ◽  
pp. 61 ◽  
Author(s):  
Len M. Hunt

Context Wildlife managers frequently use regulations to alter the preferred hunting strategies and outcomes of hunters. However, hunters can respond to changing social and resource conditions resulting from regulations in ways that can surprise wildlife managers. Aims The specific research questions were (1) how does the availability of licences (tags) required to harvest adult moose (Alces alces) relate to the success of hunters at filling these tags and (2) how do hunting pressure and the density of calf moose relate to the harvest rate of the calf population. Methods Information about hunters, harvest-related outcomes and moose abundance were estimated from social surveys and aerial inventories in 46 wildlife management units (WMUs) in northern Ontario, Canada. An information-theoretic approach was used to select regression models that predicted the average annual filling rate of tags for adult moose and for the average annual proportion of calf population harvested by hunters in the WMUs. Key results Tag filling rates were negatively and strongly associated with the availability of tags to hunters in the WMUs. The proportion of calf population harvested was positively related to hunting pressure and negatively related to the density of calf populations in the WMUs. Conclusions As tags became more scarce, hunters appeared to become more skilled at harvesting adult moose. As calf density declined, hunters harvested larger proportions of the population, indicating a possible inverse density-dependent relationship between abundance and harvest. Implications Understanding hunters and their actions and role within a larger social-ecological system are critical for helping to reduce the uncertainty of implementing regulations for managing wildlife. Without having this understanding, it is easy for managers to become trapped in situations where the intent of management actions is undermined by the abilities of hunters who respond to both changing social and resource conditions.

2021 ◽  
Author(s):  
Gianpasquale Chiatante ◽  
Michele Panuccio

AbstractThe species–habitat relationships can change during the year because of the seasonality of resources. Therefore, the investigation of habitat use by animals in each season plays a fundamental role in their conservation. The main aim of this research was to investigate the raptor community that spends the winter in Armenia, southern Caucasus, and to explore its relationship with environmental features, such as land use and topography. During January 2012, we collected data by carrying out 15 roadside counts along which we calculated three community parameters: the relative abundance, the species richness, and the species diversity. Then, we carried out a multiple linear regression with the Information-Theoretic Approach, to explain the relationship between the parameters and environmental variables. Besides, we computed a Canonical Correspondence Analysis (CCA) between the species and the environment around their observations. As a general pattern, the community was associated with permanent crops, maybe because of their heterogeneity, which in turn allows them to support higher densities of prey during the winter. The most abundant species was the Black Kite (Milvus migrans), followed by the Common Kestrel (Falco tinnunculus) and the Griffon Vulture (Gyps fulvus). To our knowledge, this is one of the first studies investigating the wintering raptor community in the Caucasus, with raptors generally studied in this area during the breeding season and migration.


Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 390
Author(s):  
Pouya Manshour ◽  
Georgios Balasis ◽  
Giuseppe Consolini ◽  
Constantinos Papadimitriou ◽  
Milan Paluš

An information-theoretic approach for detecting causality and information transfer is used to identify interactions of solar activity and interplanetary medium conditions with the Earth’s magnetosphere–ionosphere systems. A causal information transfer from the solar wind parameters to geomagnetic indices is detected. The vertical component of the interplanetary magnetic field (Bz) influences the auroral electrojet (AE) index with an information transfer delay of 10 min and the geomagnetic disturbances at mid-latitudes measured by the symmetric field in the H component (SYM-H) index with a delay of about 30 min. Using a properly conditioned causality measure, no causal link between AE and SYM-H, or between magnetospheric substorms and magnetic storms can be detected. The observed causal relations can be described as linear time-delayed information transfer.


Author(s):  
R. V. Prasad ◽  
R. Muralishankar ◽  
S. Vijay ◽  
H. N. Shankar ◽  
Przemyslaw Pawelczak ◽  
...  

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