Using minnow traps to estimate fish population size: the importance of spatial distribution and relative species abundance

Hydrobiologia ◽  
1990 ◽  
Vol 190 (1) ◽  
pp. 9-14 ◽  
Author(s):  
Xi He ◽  
David M. Lodge
Keyword(s):  
Spatial Distribution ◽  
Population Size ◽  
Species Abundance ◽  
Fish Population

scholarly journals An integer-valued mathematical model of lake communities: Chaotic and long-period oscillations in the fish population size

2016 ◽  
Vol 8 (2) ◽  
pp. 229-239
Author(s):  
A. V. Rusakov ◽  
A. E. Bobyrev ◽  
V. A. Burmensky ◽  
E. A. Kriksunov ◽  
N. I. Nurieva ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Population Size ◽  
Fish Population ◽  
Long Period

Fish population size, and not density, as the determining factor of parasite infection: a case study

Parasitology ◽  
2004 ◽  
Vol 128 (3) ◽  
pp. 305-313 ◽  
Author(s):  
A. M. BAGGE ◽  
R. POULIN ◽  
E. T. VALTONEN
Keyword(s):  
Species Richness ◽  
Population Density ◽  
Population Size ◽  
Fish Population ◽  
Host Population ◽  
Fish Length ◽  
Total Fish ◽  
Infection Parameters ◽  
The Mean

The diversity and abundance of parasites vary widely among populations of the same host species. These infection parameters are, to some extent, determined by characteristics of the host population or of its habitat. Recent studies have supported predictions derived from epidemiological models regarding the influence of host population density: parasite abundance and parasite species richness are expected to increase with increasing host population density, at least for directly transmitted parasites. Here, we test this prediction using a natural system in which populations of the crucian carp, Carassius carassius (L.), occur alone, with no other fish species, in a series of 9 isolated ponds in Finland. The ectoparasite communities in these fish populations consist of only 4 species of monogeneans (Dactylogyrus formosus, D. wegeneri, D. intermedius and Gyrodactylus carassii); the total and relative abundance of these 4 species varies among ponds, with one or two of the species missing from certain ponds. Across ponds, only one factor, total fish population size, explained a significant portion of the variance in both the mean number of monogenean species per fish and the mean total abundance of monogenean individual per fish. In contrast, fish population density did not influence either monogenean abundance or species richness, and neither did any of the other variables investigated (mean fish length per pond, number of fish examined per pond, distance to the nearest lake, and several water quality measures). In our system, proximity among fish individuals (i.e. host population density) may not be relevant to the proliferation of monogeneans; instead, the overall availability of host individuals in the host population appeared to be the main constraint limiting parasite population growth.

scholarly journals Challenges of ecological monitoring: estimating population abundance from sparse trap counts

2011 ◽  
Vol 9 (68) ◽  
pp. 420-435 ◽  
Author(s):  
Natalia Petrovskaya ◽  
Sergei Petrovskii ◽  
Archie K. Murchie
Keyword(s):  
Population Size ◽  
Numerical Integration ◽  
Spatial Data ◽  
Population Distribution ◽  
Species Abundance ◽  
Ecological Monitoring ◽  
Field Studies ◽  
Pest Species ◽  
Population Size Estimates ◽  
Size Estimates

Ecological monitoring aims to provide estimates of pest species abundance—this information being then used for making decisions about means of control. For invertebrate species, population size estimates are often based on trap counts which provide the value of the population density at the traps' location. However, the use of traps in large numbers is problematic as it is costly and may also be disruptive to agricultural procedures. Therefore, the challenge is to obtain a reliable population size estimate from sparse spatial data. The approach we develop in this paper is based on the ideas of numerical integration on a coarse grid. We investigate several methods of numerical integration in order to understand how badly the lack of spatial data can affect the accuracy of results. We first test our approach on simulation data mimicking spatial population distributions of different complexity. We show that, rather counterintuitively, a robust estimate of the population size can be obtained from just a few traps, even when the population distribution has a highly complicated spatial structure. We obtain an estimate of the minimum number of traps required to calculate the population size with good accuracy. We then apply our approach to field data to confirm that the number of trap/sampling locations can be much fewer than has been used in many monitoring programmes. We also show that the accuracy of our approach is greater that that of the statistical method commonly used in field studies. Finally, we discuss the implications of our findings for ecological monitoring practice and show that the use of trap numbers ‘smaller than minimum’ may still be possible but it would result in a paradigm shift: the population size estimates should be treated probabilistically and the arising uncertainty may introduce additional risk in decision-making.

The geographical distribution of passenger railway hubs in Russia

2020 ◽  
pp. 121-130
Author(s):  
K. V. Samburov
Keyword(s):  
Spatial Distribution ◽  
Population Size ◽  
Geographical Distribution ◽  
Saint Petersburg ◽  
Economic Regions

The geographical distribution of 550 passenger railway nodes that are serving longer distance trains were studied. It’s containing 622 stations, which encompass more than 97% of passenger departures total number on the railway in 2016 were selected and grouped according to its size and the main nodes’characteristics were analyzed. Studying dependence of node’s rank and size from number of people, which live in its area, revealed that the less population size center is, the more other factors influence. The factual and ideal Zipf’s curve for the hierarchy of railway nodes were analyzed and its discrepancy was identified. An excessive role of Moscow as a main node and of Saint Petersburg as the second center is a feature in the hierarchy of nodes. This research also represents the analysis of nodes’ upper groups (more than 250 000 passenger departures per year). Spatial distribution of passenger railway nodes on the territory of Russia is descripted and the similarity of it with area of main resettlement was found. However, the density of relatively large nodes increases in Central and Central Black Earth economic regions and in Circum-Pontic region

scholarly journals Population size dynamics and spatial distribution of Tundra Swan Cygnus columbianus wintering in Poyang Lake

2018 ◽  
Vol 30 (6) ◽  
pp. 1646-1654
Author(s):  
WEI Zhenhua ◽  
◽  
LI Yankuo ◽  
SHAN Jihong ◽  
WANG Lingfeng ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Population Size ◽  
Poyang Lake ◽  
Cygnus Columbianus ◽  
Tundra Swan

scholarly journals Historical Analysis of Genetic Variation Reveals Low Effective Population Size in a Northern Pike (Esox lucius) Population

Genetics ◽  
1997 ◽  
Vol 147 (3) ◽  
pp. 1249-1258 ◽  
Author(s):  
Loren M Miller ◽  
Anne R Kapuscinski
Keyword(s):  
Population Size ◽  
Effective Population Size ◽  
Microsatellite Loci ◽  
Natural Populations ◽  
Historical Analysis ◽  
Fish Population ◽  
Time Interval ◽  
Effective Population ◽  
Entire Interval ◽  
Census Size

Effective population size (Ne) of a natural fish population was estimated from temporal changes in allele frequencies at seven microsatellite loci. Use of a historical collection of fish scales made it possible to increase the precision of estimates by increasing the time interval between samples and to use an equation developed for discrete generations without correcting for demographic parameters. Estimates of Ne for the time intervals 1961–1977 and 1977–1993 were 35 and 72, respectively. For the entire interval, 1961–1993, the estimate of Ne was 48 when based on a weighted mean derived from the above two estimates or 125 when calculated from 1961 and 1993 samples only. Corresponding ratios of effective size to adult census size ranged from 0.03 to 0.14. An Ne of 48 over a 32-year period would imply that this population lost as much as 8% of its heterozygosity in that time. Results suggest the potential for using genetic methods based on microsatellite loci data to compare historical trends in Ne with population dynamic parameters. Such comparisons will help to evaluate the relationship between genetic diversity and long-term persistence of natural populations.

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