How effective are grid trapping, oil cards and track boards in monitoring bush rat populations?

2007 ◽  
Vol 29 (2) ◽  
pp. 149 ◽  
Author(s):  
C.L. Free ◽  
L.K-P. Leung
Keyword(s):  
Wildlife Conservation ◽  
Selection Procedure ◽  
Model Parameters ◽  
Significance Level ◽  
Abundance Indices ◽  
Capture Recapture ◽  
Card Index ◽  
Rattus Fuscipes ◽  
Trapping Grid ◽  
Conservation And Management

Monitoring populations is a key component of wildlife conservation and management. This study aimed to evaluate the effectiveness of abundance indices used for estimating populations of the bush rat Rattus fuscipes. The study was conducted on Fraser Island, Queensland, Australia. A trapping grid consisting of 5 x 5 trap stations, 20 m apart, was used because this configuration was typical of those used for small mammal trapping in Australia. Capture-recapture data were collected from trapping 18 grids over four consecutive nights, immediately followed by two consecutive nights of conducting oil card and track indices. On 11 grids, model Mb was selected by the CAPTURE model selection procedure, indicating increased capture probability after first capture (trap-happy). The estimated trappable population size (�) on these grids was not precise with the standard error on average being 28% of �. On the other seven grids, the number of animals caught was too small (<3) to estimate model parameters.. The main problem of the grid trapping was that some grids caught too few animals to estimate �. Our data suggest that the minimum grid area for estimating useful � is one that would catch more than 8 individuals. The minimum grid area varies depending on the density of rats and should be determined by a pilot trapping study. The number of trapping occasions can be increased until a specific precision of � is reached. The correlation between track index and � was near the 0.05 significance level indicating tracks are potentially a reliable index for monitoring bush rat populations. The oil card index was not significantly correlated with �.

scholarly journals Integrating telemetry data into spatial capture-recapture modifies inferences on multi-scale resource selection

2017 ◽  
Author(s):  
Daniel W. Linden ◽  
Alexej P. K. Sirén ◽  
Peter J. Pekins
Keyword(s):  
Resource Selection ◽  
Wildlife Conservation ◽  
Coniferous Forest ◽  
Space Use ◽  
Camera Traps ◽  
Telemetry Data ◽  
Multi Scale ◽  
Management Objectives ◽  
Capture Recapture ◽  
Conservation And Management

AbstractEstimating population size and resource selection functions (RSFs) are common approaches in applied ecology for addressing wildlife conservation and management objectives. Traditionally such approaches have been undertaken separately with different sources of data. Spatial capture-recapture (SCR) provides a framework for jointly estimating density and multi-scale resource selection, and data integration techniques provide opportunities for improving inferences from SCR models. Here we illustrate an application of integrated SCR-RSF modeling to a population of American marten (Martes americana) in alpine forests of northern New England. Spatial encounter data from camera traps were combined with telemetry locations from radio-collared individuals to examine how density and space use varied with spatial environmental features. We compared multi-model inferences between the integrated SCR-RSF model with telemetry and a standard SCR model with no telemetry. The integrated SCR-RSF model supported more complex relationships with spatial variation in third-order resource selection (i.e., individual space use), including selection for areas with shorter distances to mixed coniferous forest and rugged terrain. Both models indicated increased second-order selection (i.e., density) for areas close to mixed coniferous forest, while the integrated SCR-RSF model had a lower effect size due to modulation from spatial variability in space use. Our application of the integrated SCR-RSF model illustrates the improved inferences from spatial encounter data that can be achieved from integrating auxiliary telemetry data. Integrated modeling allows ecologists to join empirical data to ecological theory using a robust quantitative framework to better address conservation and management objectives.

scholarly journals Wildlife conservation and management in China: achievements, challenges and perspectives

2021 ◽  
Author(s):  
Guangping Huang ◽  
Xiaoge Ping ◽  
Weihua Xu ◽  
Yibo Hu ◽  
Jiang Chang ◽  
...  
Keyword(s):  
Wildlife Conservation ◽  
Conservation And Management

scholarly journals Population changes in rattail species on the Chatham Rise

2021 ◽  
Author(s):  
◽  
Kathleen Large
Keyword(s):  
Maximum Likelihood ◽  
Stock Assessment ◽  
Production Model ◽  
Likelihood Method ◽  
Model Parameters ◽  
Important Species ◽  
Surplus Production ◽  
Surplus Production Model ◽  
Abundance Indices ◽  
The Impact

<p>The aim of this project was to conduct a stock assessment to determine the population dynamic characteristics of rattail species taken as bycatch in the hoki, hake and ling fishery on the Chatham Rise. No quantitative assessment of the current size of rattail populations , and how these may have changed over time, has been carried out before. There is interest in the need to quantify the impact of commercial fishing on the rattail populations, as rattails (Macrouridae family) are considered to be an ecologically important species complex in the deep ocean, and there may be the potential for the development of a commercial fishery based on their value as processed fishmeal. The minimum data required for a stock assessment are an abundance index and a catch history. Abundance indices are available for over 20 species of rattail produced from scientific surveys conducted annually on the Chatham Rise since 1992. Catch histories for individual rattail species in the same area are not available. A method was developed to reconstruct commercial catches of rattails from commercial effort data and survey catch and effort data. A surplus production model was fitted to the reconstructed catch data and survey abundance indices, using maximum likelihood and Bayesian methods to estimate model parameters and uncertainty. A surplus production model has two components: an observation model for abundance indices and a process model for population dynamics. Maximum likelihood estimation was applied to a model that specified errors for the observations only, and this produced estimates that had wide confidence intervals. A Bayesian approach was then taken to fit a statespace version of the model that incorporates errors associated with the observation and process models. While the Bayesian method produced more plausible parameter estimates (in comparison to the maximum likelihood method) and parameter uncertainty was reduced, our analysis indicated the posterior estimates were highly sensitive to the specification of different priors. There may be several reasons for these results, including: the small number of observations, lack of contrast in the data and mis-specification of the model. Meaningful estimates of the absolute size of rattail populations are not possible with these results, where estimates can vary by orders of magnitude depending on prior specification. This implies that more work needs to be done to develop more effective methods that can be used to help inform decisions regarding the management of these fish populations. Improving data collection, investigating informative priors and extending/respecifying the model are considered worthwhile avenues of future work to improve stock assessments of rattails.</p>

Hunting Hype

Eating Earth ◽  
2014 ◽  
Author(s):  
Lisa Kemmerer
Keyword(s):  
Wildlife Conservation ◽  
Environmentally Friendly ◽  
The United States ◽  
Small Population ◽  
Government Agencies ◽  
Late 19Th Century ◽  
The People ◽  
The U.S ◽  
Conservation And Management ◽  
Hunting Ground

When faced with the ecological horrors of animal agriculture, some look to hunting as an escape—as the environmentally friendly way to put meat on the table. This chapter explores the environmental effects of hunting, exposing a handful of myths that help to make this sport appear to be environmentally friendly, animal friendly, socially acceptable—even morally exemplary. As noted, this book is written specifically for those who have a choice as to what they eat. This book is not a criticism of those who truly have few dietary options (for example, due to affordability or lack of availability). . . .For millennia men dreamed of acquiring absolute mastery over nature, of converting the cosmos into one immense hunting ground. . . . . . .—HORKHEIMER AND ADORNO 2 4 8 . . . In the United States, wildlife conservation was established by hunters for hunters because of hunters. In the late 19th century, Theodore Roosevelt complained that commercial hunters had decimated wildlife—that a comparatively small population of “market” hunters profited while the nation was stripped of hunter-target species (S. Fox 123). To address these concerns, he founded the Boone and Crockett Club (BCC) in 1897, with the following mission: “[T] o promote the conservation and management of wildlife, especially big game, and its habitat, to preserve and encourage hunting and to maintain the highest ethical standards of fair chase and sportsmanship in North America” (“About the B & C Club”). “Conservation” is a utilitarian, human-centered term promoting the protection of wildlife and wilderness for human use. Accordingly, the BCC promoted laws protecting “every citizen’s freedom to hunt and fish,” and established wildlife as “owned by the people and managed in trust for the people by government agencies” (“About the B & C Club”). As a result of the BCC, the U.S. government was placed in charge of managing wildlife on behalf of hunters.

scholarly journals Local community participation in wildlife conservation and management in Rungwa Game Reserve, Tanzania

2020 ◽  
Vol 8 (2) ◽  
pp. 21-31
Author(s):  
Kileti V. Tarimo ◽  
Moses I. Olotu
Keyword(s):  
Natural Resources ◽  
Community Participation ◽  
Wildlife Conservation ◽  
Local Community ◽  
Single Point ◽  
Local Communities ◽  
Design Data ◽  
Cross Sectional ◽  
Game Reserve ◽  
Conservation And Management

AbstractLocal community participation in wildlife conservation and management is known to have existed for many years. However, the socio-economic activities regarding community participation remain questionable. Incorporating the views of the local community in the process of decision-making and providing alternative livelihood solutions are important steps towards sustainable conservation. The main aim of this study was to investigate the effects of community participation in sustainable wildlife management in Rungwa Game Reserve. A survey was conducted of the households in Rungwa and Mwamagembe villages with a sample size of 98 respondents. The study used a cross-sectional research design. Data were collected from different respondents at a single point in time. The main research methods used for data collection included: questionnaire surveys, key informant interviews, field observations, focus group discussions and a review of documents. Descriptive data were summarised and presented in frequency tables and charts. Content analysis was also used to determine relationships between the variables measured. The findings revealed both positive and negative effects of wildlife conservation and management. The results revealed that local communities provided confidential information pertaining to illegal activities. The findings further indicated that there was a failure of the game reserve authorities to allow meaningful local participation and equitable sharing of the benefits, which could be attributed to hatred, resentment, and illegal harvesting of natural resources from the game reserve, resulting in poor wildlife conservation. This study recommends the encouragement and a strengthening of the involvement of local communities in wildlife conservation for the sustainable utilisation of natural resources.

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