Effects of systemic insecticides on the population dynamics of the dragonfly Sympetrum frequens in Japan: Statistical analyses using field census data from 2009 to 2016

Statistical analyses were applied to data from a series of 38 samples collected in an aerobic treatment plant from November 1989 to December 1990. Relationships between microfauna structure and plant operating conditions were found. Amount and quality of microfauna groups and species found in activated sludge proved useful to suggest the possible causes of disfunctions.

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Alternative Scenario Simulation for Urban Sprawl Based on Population Dynamics: A Methodological Proposal

Fronteiras Journal of Social Technological and Environmental Science ◽

10.21664/2238-8869.2019v8i1.p265-281 ◽

2019 ◽

Vol 8 (1) ◽

pp. 265-281

Author(s):

Adriano Bressane ◽

Maurício Tavares da Mota ◽

Felipe Hashimoto Fengler ◽

José Arnaldo Frutuoso Roveda ◽

Sandra Regina Monteiro Masalskiene Roveda ◽

...

Keyword(s):

Population Dynamics ◽

Urban Sprawl ◽

Census Data ◽

Local Politics ◽

Metropolitan Region ◽

Strategic Decisions ◽

Applicable Law ◽

Proposed Model ◽

Production Areas ◽

Sanitary Conditions

The urban sprawl implies in the reduction of rural production areas and increases the pressure on the natural spaces. Hence, if the urbanization does not occur properly, it can compromise sanitary conditions, biodiversity, resources and environmental services. This paper aims at presenting a mathematical model to support urban sprawl based on population dynamics, applied as a case study in the Economic Hub of the Metropolitan Region of Sorocaba - MRS. The materials corresponded to census data and urban planning parameters of the applicable law. As a result, it was found that the urban extension of Sorocaba is oversized, and that the maintenance of the current conditions and guidelines will have critical consequences, requiring a change in local politics. We conclude that the proposed model can support strategic decisions, preventing problems related to disordered growth.

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Population dynamics of two beaver species in Finland inferred from citizen-science census data

Ecosphere ◽

10.1002/ecs2.1947 ◽

2017 ◽

Vol 8 (9) ◽

pp. e01947 ◽

Cited By ~ 5

Author(s):

J. E. Brommer ◽

R. Alakoski ◽

V. Selonen ◽

K. Kauhala

Keyword(s):

Population Dynamics ◽

Citizen Science ◽

Census Data

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A Micro-Level Data-Calibrated Agent-Based Model: The Synergy between Microsimulation and Agent-Based Modeling

Artificial Life ◽

10.1162/artl_a_00260 ◽

2018 ◽

Vol 24 (2) ◽

pp. 128-148

Author(s):

Karandeep Singh ◽

Chang-Won Ahn ◽

Euihyun Paik ◽

Jang Won Bae ◽

Chun-Hee Lee

Keyword(s):

Population Dynamics ◽

Census Data ◽

Social Issues ◽

Real Data ◽

Agent Based Modeling ◽

Population Census ◽

Agent Based ◽

Artificial Society ◽

Level Data ◽

The Future

Artificial life (ALife) examines systems related to natural life, its processes, and its evolution, using simulations with computer models, robotics, and biochemistry. In this article, we focus on the computer modeling, or “soft,” aspects of ALife and prepare a framework for scientists and modelers to be able to support such experiments. The framework is designed and built to be a parallel as well as distributed agent-based modeling environment, and does not require end users to have expertise in parallel or distributed computing. Furthermore, we use this framework to implement a hybrid model using microsimulation and agent-based modeling techniques to generate an artificial society. We leverage this artificial society to simulate and analyze population dynamics using Korean population census data. The agents in this model derive their decisional behaviors from real data (microsimulation feature) and interact among themselves (agent-based modeling feature) to proceed in the simulation. The behaviors, interactions, and social scenarios of the agents are varied to perform an analysis of population dynamics. We also estimate the future cost of pension policies based on the future population structure of the artificial society. The proposed framework and model demonstrates how ALife techniques can be used by researchers in relation to social issues and policies.

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Density, snow, and seasonality lead to variation in muskox (Ovibos moschatus) habitat selection during summer

Canadian Journal of Zoology ◽

10.1139/cjz-2018-0292 ◽

2019 ◽

Vol 97 (11) ◽

pp. 997-1003

Author(s):

Orlando Tomassini ◽

Floris M. van Beest ◽

Niels M. Schmidt

Keyword(s):

Population Dynamics ◽

Habitat Selection ◽

Environmental Conditions ◽

Census Data ◽

High Arctic ◽

Early Summer ◽

The Arctic ◽

Selection Strategy ◽

Ovibos Moschatus ◽

Arctic Summer

Understanding how environmental conditions influence habitat selection and suitability of free-ranging animals is critical, as the outcome may have implications for individual fitness and population dynamics. Density and snow are among the most influential environmental conditions driving habitat-selection patterns of northern ungulates. We used two decades of census data from high Arctic Greenland to quantify inter- and intra-annual variations in muskox (Ovibos moschatus (Zimmermann, 1780)) habitat selection and suitability during the Arctic summer (July through October). Across years, habitat selection varied considerably, and the strength of habitat selection appeared negatively related to both muskox density and spring snow cover. In early summer, habitat suitability was high and spatially rather uniform. Towards the autumn, suitable habitats contracted to just the lower elevations, when muskoxen exhibited increasingly stronger habitat selection towards low elevations and dense vegetation. This selection strategy clearly reflects the need to build up fat reserves for the upcoming winter, highlighting the energetic importance of the Arctic summer. Extreme climatic events such as freezing rain in autumn are increasing in frequency in Greenland and limit muskox access to high-quality forage in fens. Such events may therefore negatively affect the energy acquisition process of muskox with potential cascading consequences on population dynamics.

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Transition in Population Dynamics of the Intertidal Barnacle Balanus glandula after Invasion: Causes and Consequences of Change in Larval Supply

Journal of Marine Science and Engineering ◽

10.3390/jmse8110915 ◽

2020 ◽

Vol 8 (11) ◽

pp. 915

Author(s):

Takashi Noda ◽

Masashi Ohira

Keyword(s):

Population Dynamics ◽

Census Data ◽

Spatial Scales ◽

Local Population ◽

Regional Scale ◽

Population Census ◽

Larval Supply ◽

Balanus Glandula ◽

Invasion Front ◽

Larval Recruitment

To elucidate how the population dynamics of the acorn barnacle Balanus glandula transitioned after its invasion in 2000 along the Pacific coast of Japan, a population census was conducted from 2004 to 2014 at five shores along 49 km of coastline 144–193 km east outside of the invasion front. Survey areas at each shore consisted of five paired plots (cleared recruitment plots and control plots). Larval recruitment was first detected in 2004 but benthic individuals were not detected until 2 years later. The abundance and occurrence of B. glandula increased until around 2010; abundance then decreased but occurrence remained high (70%) until 2014, suggesting that the metapopulation of this barnacle approached a maximum around 2011. From 2011, the population dynamics of B. glandula changed considerably at two contrasting spatial scales: at a regional scale, the dependency of the number of larvae on stock size decreased, whereas at a local scale, the relative contribution of larval supply as a determinant of local population dynamics decreased. These findings suggest that the major driving force of population dynamics of the introduced barnacle changed in just a few years after invasion; therefore, population census data from just after an invasion, including larval recruitment monitoring just outside the invasion front, is essential to understanding invasion dynamics by sessile marine organisms.

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Ecological role of hunting in population dynamics and its implications for co-management of the Porcupine caribou herd

Rangifer ◽

10.7557/2.20.5.1631 ◽

2000 ◽

Vol 20 (5) ◽

pp. 71 ◽

Cited By ~ 1

Author(s):

Thomas A. Hanley ◽

Donald E. Russell

Keyword(s):

Population Dynamics ◽

Monitoring System ◽

Body Condition ◽

Population Model ◽

Census Data ◽

Herd Size ◽

The Past ◽

Adult Females ◽

Herd Dynamics

At a present population size of 160 000 animals, the Porcupine caribou herd has been subjected to an annual harvest rate of 2% for the past couple of decades. We modeled potential sensitivity of herd population dynamics to hunting and used that relation as a basis for a herd monitoring system. Maximum number of adult cows that could be harvested without causing a subsequent decline in herd size was calculated as a function of total number of adult cows in the herd and recruitment of calves to yearling age-class. Maximum cow harvest, therefore, is a threshold above which hunting has destabilizing effects on herd dynamics. Actual harvest in relation to theoretical maximum harvest provides a basis for prediction of herd sensitivity to hunting. Maximum harvest is a linear function of recruitment. Herd dynamics are especially sensitive to low recruitment, however, when combined with low herd size. The two relations involving recruitment and herd size provide the basis for predicting herd dynamics and sensitivity to hunting. Herd size is best estimated by aerial census, while an index of recruitment can be predicted by monitoring autumn body condition of adult females. Body condition can be estimated on the basis of a few simple metrics measured by hunters in the field. The hunters' data on body composition, combined with aerial census data on herd size, provide a useful tool for managers and co-management boards to devise policies and regulations to manage the herd. The population model and monitoring system can operate on the Internet and be accessible to all users in villages within the range of the Porcupine caribou herd.

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Economic convergence in ageing Europe

10.31219/osf.io/uy8dn ◽

2017 ◽

Cited By ~ 1

Author(s):

Ilya Kashnitsky ◽

Joop de Beer ◽

Leo van Wissen

Keyword(s):

Population Dynamics ◽

Census Data ◽

Regional Level ◽

Accurate Information ◽

Economic Convergence ◽

Cohort Size ◽

Administrative Division ◽

Intercensal Period ◽

Regional Population ◽

Youth Migration

This paper investigates youth migration in Russia at the sub-regional level of administrative division. The aim of the research is to assess the volume of internal youth migration in cohort perspective. The task is only doable with the use of census data, which not only makes it possible to conduct research at the sub-regional level, but also provides much more accurate information on youth migration than the current migration record. I utilize cohort-component analysis to study sub-regional population dynamics. As mortality is quite insignificant at young ages, most of the change in cohort size is caused by migration. My estimates show that during the last intercensal period, 2003-2010, up to 70 percent of youth cohorts have left the regional periphery after graduating from school, and there was no substantial return to the demographically depleted periphery in the young working ages.

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