scholarly journals Hunter estimates of game density as a simple and efficient source of information for population monitoring: A comparison to targeted survey methods

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256580
Author(s):  
Jan Hušek ◽  
Melanie R. Boudreau ◽  
Marek Panek
Keyword(s):  
Growth Rates ◽  
Red Fox ◽  
Roe Deer ◽  
Survey Methods ◽  
Population Data ◽  
Population Monitoring ◽  
Brown Hare ◽  
Game Species ◽  
Grey Partridge ◽  
Species Population

Hunters in Europe gather non-survey game species population estimates to inform wildlife management, however, the quality of such estimates remains unclear. We compared estimates of game density, realized annual intrinsic growth rates, and period mean growth rates between hunter obtained data and data obtained by targeted survey methods for four species in Poland from 1960 to 2014. Raw hunter estimates were strongly positively correlated to spotlight counts of red fox (18 years of monitoring), strip counts of brown hare (21 years) and grey partridge (25 years), male call counts of partridge (24 years), and complete counts of roe deer (49 years), and not related to spotlight counts of brown hare (15 years). Realized annual intrinsic growth rates derived from hunter estimates were strongly positively related to annual intrinsic growth rates derived from strip counts of grey partridge and complete counts of roe deer, but only weakly or not related to strip counts of brown hare, spotlight counts of red fox and brown hare, and male call counts of grey partridge. The period length at which the period mean growth rates derived from hunter estimates and estimates from other methods were strongly correlated was largely variable among methods and species. In the roe deer, correlation between these variables was strong across all years, while in smaller game species the period mean growth rates based on hunter estimates and other methods had the strongest association in period lengths of 6 to 11 years. We conclude that raw hunter estimates convey largely similar information to that provided by other targeted survey methods. Hunter estimates provide a source of population data for both the retrospective and prospective analysis of game population development when more robust estimates are unavailable.

scholarly journals La población rural en España: un enfoque a escala municipal

2011 ◽  
Vol 10 (1) ◽  
pp. 35 ◽  
Author(s):  
Ignacio Atance ◽  
María Teresa Martínez Jávega ◽  
Rogelio Pujol ◽  
Julio Urruela
Keyword(s):  
Population Growth ◽  
Growth Rates ◽  
Rural Areas ◽  
Rural Population ◽  
Population Data ◽  
Demographic Variables ◽  
Rural Depopulation ◽  
Demographic Growth

Population in Spain has grown significantly during the last decade; however, population growth has not increased evenly across the country. High demographic growth rates in costal and urbaninfluenced rural areas can lead to errors when considering added rural population data. This research depicts Spanish rural population’s evolution using a municipal scale approach and analyzes classic demographic variables and their explanatory capacity on rural population’s evolution. Results show that rural depopulation is still increasing in wide areas of the country. Classical demographic variables have been tested significant although they are not deciding factors in explaining rural population’s evolution

Biogenic amines and polyamines in liver, kidney and spleen of roe deer and European brown hare

2007 ◽  
Vol 227 (1) ◽  
pp. 209-213 ◽  
Author(s):  
Peter Paulsen ◽  
Zuzana Dicakova ◽  
Friedrich Bauer
Keyword(s):  
Biogenic Amines ◽  
Roe Deer ◽  
Brown Hare ◽  
European Brown Hare

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

2020 ◽  
Author(s):  
Heiko Wittmer ◽  
P Corti ◽  
C Saucedo ◽  
J Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

Considerable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data. © 2010 Fauna & Flora International.

scholarly journals Design and Covid-19: Monitoring Urban Data

2021 ◽  
Vol 14 (1) ◽  
pp. 289-298
Author(s):  
Maria Do Val da Fonseca ◽  
Virgínia Souza de Carvalho Borges Kistmann
Keyword(s):  
Urban Space ◽  
Data Privacy ◽  
Population Data ◽  
Population Monitoring ◽  
Systematic Research ◽  
Design Strategies ◽  
Telephone Companies ◽  
Statistical Surveys ◽  
Set Of Points ◽  
Monitoring Activity

This article discusses the use of population monitoring within urban space by designers. It considers its use to define design strategies aiming at mitigating the Covid-19. Some governments have used identified citizens data as well as stored population data through telephone companies. In search to establish new strategies to mitigate the pandemic consolidation, data collected are used for communication, considering among other aspects statistical surveys of the population. With this, new services are offering digital applications in the pandemic context, having designers as part of the group of people involved in this new process. On population monitoring activity, issues such as data privacy, surveillance capitalism and doubts about the use of these data and activities after the pandemic are points to be considered. In this context, how and what should designers consider in this scenario is a question that arises. This work presents a discussion about the theme based upon a systematic research on the related literature. Literature was analysed resulting in a set of points that shows the importance of design strategy in the use of these projects.

scholarly journals Seasonal and multiannual dynamics of sedentary species populations of hunting interest

2021 ◽  
Author(s):  
Anatol Savin ◽  
◽  
Oleg Ciocoi ◽  
Mihail Scerbliuc ◽  
Gheorghe Grosu ◽  
...  
Keyword(s):  
Reproductive Period ◽  
Climatic Conditions ◽  
Cold Period ◽  
Game Species ◽  
Vegetative Period ◽  
Grey Partridge ◽  
Small Game ◽  
Arid Conditions ◽  
Offspring Growth ◽  
Number Dynamics

The aim of the research was to study the number dynamics of the populations of dominant sedentary species of hunting interest as a theoretical context in arguing sustainable measures for the management of economic interest fauna. The studies between 2000-2021 shows that after a period of depression in the populations of sedentary species of hunting interest in 2004-2012 there is an increase from 2016-2017 till present of reproductive stocks in all studied species on average by 95%. The losses in the cold period of the year varied depending on the climatic conditions of the cold period of the year, as well as the age structure at the end of the reproductive period: for the hare between 14% and 30%, with an average of 23%; in grey partridge from 56% to 71% and in pheasant they fluctuate between 48% and 56% of the autumn number, being lower in warm winters (37%). Analyzing the dynamics of annual increases in sedentary small game species in different climatic conditions, it was found that arid conditions during nesting and offspring growth, decrease annual increases by 143% in pheasants, 122% in hares, and only 74% in partridges, which is a species less dependent on aridizations in the vegetative period.

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

2020 ◽  
Author(s):  
Heiko Wittmer ◽  
P Corti ◽  
C Saucedo ◽  
J Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

Considerable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data. © 2010 Fauna & Flora International.

scholarly journals Human–Wildlife Conflicts in Krakow City, Southern Poland

Animals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 1014
Author(s):  
Sayantani M. Basak ◽  
Izabela A. Wierzbowska ◽  
Agnieszka Gajda ◽  
Marcin Czarnoleski ◽  
Maciej Lesiak ◽  
...  
Keyword(s):  
Wild Boar ◽  
Wildlife Management ◽  
Hot Spots ◽  
Urban Areas ◽  
Red Fox ◽  
Roe Deer ◽  
Hot Spot ◽  
Spatial Association ◽  
Mitigation Strategies ◽  
Potential Conflict

Efforts to reduce human-wildlife-conflict are integral to wildlife management and conservation in urban habitats. In our study, we identified the HWC situations in urban areas of Krakow city, based on animal-vehicle collisions, intrusion to property, and damages. Hot spot analysis and Moran’s Index were used to identify the location of maximum potential conflict. We analysed 2512 incidents in which animals (of which 85% included mammals and 15% birds) were involved in conflict situations between 2007 and 2013. A significant seasonal variation was observed among the animals. We also identified roe deer (50.23%), red fox (22.80%) and wild boar (11.40%), as the three prominent conflicted animals. Getis–Ord Gi* analysis was used to identify spatial clusters of conflict. A significant spatial association was found in the location of clusters of hot spots in specific land-use based on Moran’s Index. Hot spots of roe deer and wild boar were high in grasslands and in forest and for red fox in built-up area. The results underscore the notion that conservation and wildlife management efforts must take into account differences in the seasonality of HWC among species. This information can be used to inform mitigation strategies.

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

Oryx ◽  
2010 ◽  
Vol 44 (4) ◽  
pp. 516-522 ◽  
Author(s):  
Heiko U. Wittmer ◽  
Paulo Corti ◽  
Cristián Saucedo ◽  
José Luis Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

AbstractConsiderable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data.

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