Inbreeding in the field: an experiment on root vole populations

2001 ◽  
Vol 79 (10) ◽  
pp. 1901-1905 ◽  
Author(s):  
Gry Gundersen ◽  
Jon Aars ◽  
Harry P Andreassen ◽  
Rolf A Ims
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Field Experiment ◽  
Inbreeding Depression ◽  
Population Growth Rate ◽  
Demographic Parameters ◽  
Demographic Parameter ◽  
Microtus Oeconomus ◽  
Geographic Race ◽  
Reproductive Rates

We used a field experiment with replicate populations of a particular geographic race of root voles (Microtus oeconomus) with different degrees of inbreeding to test whether inbreeding effects were expressed in demographic parameters. This geographic race had been shown to exhibit reduced reproductive rates in the laboratory resulting from inbreeding depression. There were no effects of inbreeding on population growth rate or any demographic parameter. Inbred animals grew less than outbred animals early in the summer, but this had no demographic consequences. Our study is one of the few to compare the performance of the same species in the laboratory and in the field with respect to the extent of inbreeding depression. More such comparisons will be needed to determine whether inbreeding is detrimental more often in the field than in the laboratory.

Diagnosing declining grassland wader populations using simple matrix models

2009 ◽  
Vol 59 (1) ◽  
pp. 127-144 ◽  
Author(s):  
Lia Hemerik ◽  
Chris Klok ◽  
Maja Roodbergen
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Matrix Models ◽  
Population Growth Rate ◽  
Adult Stage ◽  
Demographic Data ◽  
Leslie Matrix ◽  
Adult Survival ◽  
Demographic Parameters ◽  
Survival And Reproduction

AbstractMany populations of wader species have shown a strong decline in number in Western-Europe in recent years. The use of simple population models such as matrix models can contribute to conserve these populations by identifying the most profitable management measures. Parameterization of such models is often hampered by the availability of demographic data (survival and reproduction). In particular, data on survival in the pre-adult (immature) stage of wader species that remain in wintering areas outside Europe are notoriously difficult to obtain, and are therefore virtually absent in the literature. To diagnose population decline in the wader species; Black-tailed Godwit, Curlew, Lapwing, Oystercatcher, and Redshank, we extended an existing modelling framework in which incomplete demographic data can be analysed, developed for species with a pre-adult stage of one year. The framework is based on a Leslie matrix model with three parameters: yearly reproduction (number of fledglings per pair), yearly pre-adult (immature) and yearly adult (mature) survival. The yearly population growth rate of these populations and the relative sensitivity of this rate to changes in survival and reproduction parameters (the elasticity) were calculated numerically and, if possible, analytically. The results showed a decrease in dependence on reproduction and an increase in pre-adult survival of the population growth rate with an increase in the duration of the pre-adult stage. In general, adult survival had the highest elasticity, but elasticity of pre-adult survival increased with time to first reproduction, a result not reported earlier. Model results showed that adult survival and reproduction estimates reported for populations of Redshank and Curlew were too low to maintain viable populations. Based on the elasticity patterns and the scope for increase in actual demographic parameters we inferred that conservation of the Redshank and both Curlew populations should focus on reproduction. For one Oystercatcher and the Black-tailed Godwit populations we suggested a focus on both reproduction and pre-adult survival. For the second Oystercatcher population pre-adult survival seemed the most promising target for conservation. And for the Lapwing populations all demographic parameters should be considered.

Elasticity: The Relative Contribution of Demographic Parameters to Population Growth Rate

Ecology ◽  
1986 ◽  
Vol 67 (5) ◽  
pp. 1427-1431 ◽  
Author(s):  
Hans de Kroon ◽  
Anton Plaisier ◽  
Jan van Groenendael ◽  
Hal Caswell
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Demographic Parameters ◽  
Relative Contribution

scholarly journals Concerning demographic limitations on the population growth rate of West Australian (Breeding Stock D) humpback whales

2020 ◽  
pp. 201-208
Author(s):  
A. Brandão ◽  
D.S. Butterworth
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Age Structure ◽  
Population Growth Rate ◽  
Extreme Values ◽  
Humpback Whales ◽  
Demographic Parameters ◽  
Natural Mortality ◽  
Transient Effects ◽  
Rate Of Increase

The upper bound of 0.126 on the maximum demographically possible annual growth rate for humpback whales that has standardly been imposedon recent applications of age-aggregated assessment models for this species in the IWC Scientific Committee, is based on an analysis that assumessteady age structure. It is conceivable that transient age-structure effects could admit greater population growth rates for short periods than suggestedby such a bound. This possibility is addressed by developing an age-structured population model in which possible density dependent changes inpregnancy rate, age at first parturition and natural mortality are modelled explicitly, and allowance is made for the possibility of natural mortalityincreasing at older ages. The model is applied to the case of the west Australian humpback whale population (Breeding Stock D), for which breedingground surveys over the 1982–1994 period provide a point estimate of 0.10 for the annual population growth rate. Results based upon the breedingpopulation survey estimate of abundance of 10,032 in 1999 suggest that 0.12 is the maximum demographically feasible annual rate of increase forthis stock over 1982–1994 if it is a closed population. This result is based on essentially the same parameter choices as led to the earlier r = 0.126bound, i.e. that in the limit of low population size the age at first parturition approaches five years from above, the annual pregnancy rate 0.5 frombelow, and the annual natural mortality rate 0.01 from above. Transient effects do not appear able to reconcile the observed rate of increase withless extreme values of demographic parameters than led to the previously imposed upper bound of 0.126 on the maximum possible annual growthrate. Although use of extreme values reported for demographic parameters for Northern Hemisphere humpback whale populations, rather than thoseconsidered here, would reduce this suggested maximum rate of 0.12, the conclusion that transient effects have a very limited impact on observedpopulation growth rates would be unlikely to change.

scholarly journals Approximating Variance of Demographic Parameters Using the Delta Method: A Reference for Avian Biologists

The Condor ◽  
2007 ◽  
Vol 109 (4) ◽  
pp. 949-954 ◽  
Author(s):  
Larkin A. Powell
Keyword(s):  
Growth Rate ◽  
Population Growth Rate ◽  
Survival Rates ◽  
Delta Method ◽  
Parameter Estimates ◽  
Demographic Parameters ◽  
Sampling Variance ◽  
Demographic Parameter ◽  
Daily Nest Survival ◽  
Combine Parameter

Abstract Avian biologists routinely estimate sampling variance for parameter estimates such as daily nest survival, fecundity, annual survival, and density. However, many biologists are not certain of methods to derive sampling variance for parameters when survival rates change temporal scales. Similar methods are needed to obtain sampling variance when biologists combine parameter estimates to calculate an indirect demographic parameter, such as population growth rate. The delta method is a useful technique for approximating sampling variance when the desired demographic parameter is a function of at least one other demographic parameter. However, the delta method is rarely taught in most graduate-level biology or ecology courses, and application of this method may be discouraged by seemingly daunting formulas in reference books. Here, I provide five examples of sampling variance approximations for common situations encountered by avian ecologists, with step-by-step explanations of the equations involved.

Effects of harvest and climate on population dynamics of northern bobwhites in south Florida

2011 ◽  
Vol 38 (5) ◽  
pp. 396 ◽  
Author(s):  
Virginie Rolland ◽  
Jeffrey A. Hostetler ◽  
Tommy C. Hines ◽  
Fred A. Johnson ◽  
H. Franklin Percival ◽  
...  
Keyword(s):  
Growth Rate ◽  
Population Dynamics ◽  
Population Growth ◽  
Population Growth Rate ◽  
Population Decline ◽  
South Florida ◽  
Winter Survival ◽  
Demographic Parameters ◽  
Population Growth Rates ◽  
Annual Changes

Context Hunting-related (hereafter harvest) mortality is assumed to be compensatory in many exploited species. However, when harvest mortality is additive, hunting can lead to population declines, especially on public land where hunting pressure can be intense. Recent studies indicate that excessive hunting may have contributed to the decline of a northern bobwhite (Colinus virginianus) population in south Florida. Aims This study aimed to estimate population growth rates to determine potential and actual contribution of vital rates to annual changes in population growth rates, and to evaluate the role of harvest and climatic variables on bobwhite population decline. Methods We used demographic parameters estimated from a six-year study to parameterise population matrix models and conduct prospective and retrospective perturbation analyses. Key results The stochastic population growth rate (λS = 0.144) was proportionally more sensitive to adult winter survival and survival of fledglings, nests and broods from first nesting attempts; the same variables were primarily responsible for annual changes in population growth rate. Demographic parameters associated with second nesting attempts made virtually no contribution to population growth rate. All harvest scenarios consistently revealed a substantial impact of harvest on bobwhite population dynamics. If the lowest harvest level recorded in the study period (i.e. 0.08 birds harvested per day per km2 in 2008) was applied, λS would increase by 32.1%. Winter temperatures and precipitation negatively affected winter survival, and precipitation acted synergistically with harvest in affecting winter survival. Conclusions Our results suggest that reduction in winter survival due to overharvest has been an important cause of the decline in our study population, but that climatic factors might have also played a role. Thus, for management actions to be effective, assessing the contribution of primary (e.g. harvesting) but also secondary factors (e.g. climate) to population decline may be necessary. Implications Reducing hunting pressure would be necessary for the recovery of the bobwhite population at our study site. In addition, an adaptive harvest management strategy that considers weather conditions in setting harvest quota would help reverse the population decline further.

scholarly journals Biological scaling in green algae: the role of cell size and geometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Helena Bestová ◽  
Jules Segrestin ◽  
Klaus von Schwartzenberg ◽  
Pavel Škaloud ◽  
Thomas Lenormand ◽  
...  
Keyword(s):  
Growth Rate ◽  
Population Growth ◽  
Population Growth Rate ◽  
Internal Diffusion ◽  
Scaling Exponent ◽  
Power Scaling ◽  
Nutrient Distribution ◽  
Metabolic Scaling ◽  
Key Factor ◽  
Size And Morphology

AbstractThe Metabolic Scaling Theory (MST), hypothesizes limitations of resource-transport networks in organisms and predicts their optimization into fractal-like structures. As a result, the relationship between population growth rate and body size should follow a cross-species universal quarter-power scaling. However, the universality of metabolic scaling has been challenged, particularly across transitions from bacteria to protists to multicellulars. The population growth rate of unicellulars should be constrained by external diffusion, ruling nutrient uptake, and internal diffusion, operating nutrient distribution. Both constraints intensify with increasing size possibly leading to shifting in the scaling exponent. We focused on unicellular algae Micrasterias. Large size and fractal-like morphology make this species a transitional group between unicellular and multicellular organisms in the evolution of allometry. We tested MST predictions using measurements of growth rate, size, and morphology-related traits. We showed that growth scaling of Micrasterias follows MST predictions, reflecting constraints by internal diffusion transport. Cell fractality and density decrease led to a proportional increase in surface area with body mass relaxing external constraints. Complex allometric optimization enables to maintain quarter-power scaling of population growth rate even with a large unicellular plan. Overall, our findings support fractality as a key factor in the evolution of biological scaling.

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