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The accuracy of the territory-mapping technique for estimating the abundance of densely breeding Hawfinches was tested in an old and unfragmented lime-oak-hombeam forest in the Białowieża National Park, E Poland. Hawfinch numbers estimated from counts of the whole bird community carried out with the application of the standards of the improved mapping technique were compared with seven-year data on the bird's true numbers, which are known from parallel intensive nest searches and persistent tracking of the movements of pairs. In a forest with a dense population of Hawfinches the mapping technique underestimated their numbers by 20% in years of moderate density and by 35% during high-density years. Even though the underestimation was negatively correlated with the true density of Hawfinches, the figures obtained by both methods reflected year-to-year changes in a similar way. An improvement in mapping data is achievable either by closer attention being paid to the species during standard visits (the best ones for surveying it), or post factum by the introduction of a correction factor into the mapping-technique figures.
In 1990-1995,12-15 pairs of Sparrowhawks (9.1/100 km²) and 7-9 pairs of Hobbies (5.6 pairs/100 km²) inhabited the forest-lakeland area of the Wigry National Park (NE Poland). The diet composition of the two species was studied by the analysis of pellets and prey remains. Sparrowhawks fed on birds (97% of prey items, 99% of food biomass), especially Turdus spp., Parus spp. and Fringilla coelebs. Hobbies consumed birds (52% of prey, 94% of biomass) and insects (43% of prey, 1% of biomass). Sparrowhawks specialized in forest birds, positively selecting Parus spp., Turdus spp., Picidae and Ficedula spp. Hobbies hunted mainly birds of open habitats (Alauda arvensis) and woodland (Anthus trivialis).
In the breeding season of 2004 in sewage sedimentation basins overgrown with semi-natural reedbeds (n = 63, total area = 113.3 ha, mean area = 1.80 (± 3.90) ha, range: 0.018 do 26.54 ha) on a sewage farm (total study area 14.22 km²) in the northern part of Wrocław city (640 000 inhabitants, SW Poland) 45 territories of Bluethroat Luscinia svecica cyanecula were found. Territorial birds were detected in 38% of all controlled reedbeds. Up to eight territories were localized in a single reedbed. In at least ten territories (22% of all) the presence of breeding pairs was also recorded. The smallest reedbed occupied by a single male had 0.081 ha and by a pair – 0.204 ha. A high statistically significant correlation was found between the reedbed area, the length of its border and the number of territories it contained. The probability of Bluethroat occurrence in a reedbed was closely related to its size. Even in small reedbeds (<2 ha) it amounted to ca. 35% and it reached 100% at 10 ha. Within particular occupied reedbeds (n = 24) the densities ranged from 1.5 to 49.5 (exceptionally 123.4) territories 10 ha⁻¹. The average density (± SD) for all reedbeds (n = 63) was 7.6 (± 19.2) territories 10 ha⁻¹, while within the occupied reedbeds (n = 24) it amounted to 20.0 (± 27.1) territories 10 ha⁻¹. The Wrocław population of Bluethroat is one of the biggest known breeding concentration of this species not only in western Poland, but probably also in large part of central Europe. So far reports of marked increases of Bluethroat abundance in anthropogenic habitats (after a dramatic decline observed since the end of XIX century) have come mainly from western Europe.
The breeding populations of the Skylark Alauda arvensis, Yellowhammer Emberiza citrinella, Corn Bunting Miliaria calandra, Yellow Wagtail Motacilla flava, Whinchat Saxicola rubetra, and Red-backed Shrike Lanius collurio were censused by the mapping method on 315 ha of intensive farmland in W Poland. Results obtained in 2006 and 2007 were compared with previously published data from 1987 to 1997. Changes in habitat structure, mainly the decline of margin habitats, and the intensification of agricultural production, which both occurred between the two study periods, affected breeding bird populations; M. flava showed drastic long-term decreasing trends, and M. calandra increased significantly in number. The other four species showed year-to-year variation rather than directional trends. Numbers of A. arvensis declined from 1987 to the late 1990s and subsequently increased. Generally, population trends of the studied species were similar to those in other long-term study plots in Poland but differed from trends in Western Europe.
A Pied Flycatcher population breeding in nest-boxes in a Karelia forest was studied from 1981 to 2007. Breeding density varied between 47.3 and 94.6 pairs/km2. The density of the breeding population was influenced by three demographic factors: maximum summer population density in the previous season, male return rate and immigration rate. Three relatively independent processes play a significant part in the population dynamics of the study area: 1) initial abundance and reproductive intensity, 2) survival rate between breeding seasons, and 3) redistribution of birds across their range. The weather in spring, when the birds arrive and settle, was found to be equally important. The population density, nest site fidelity of adults and yearlings, and immigration rate were related to temperature patterns in May. It may be assumed that the spring weather influences the birds' survival and their distribution across the northern part of their range, as well as the participation of one-year old birds in breeding.
The results of plant breeding trials with populations of fodder pea strains and broad bean hybrids were the basis of consideration on the interrelationship between some traits - the yield structure elements. Developed by Eaton, a relatively new method of yield component analysis called the two-dimensional partitioning method (TDP) was applied to analyse the data. The method, which combines multiple regression and ANOVA, allows for concise tabular presentation and simple interpretation of the distribution of traits in one direction and the sources of variance according to ANOVA model in the other direction. Additionally, the interpretation of the results was supported by such standard statistical techniques as ANOVA, simple and multiple regression and path analysis. The main components of pea yielding were plant height and the number of pods per plant. Among the analysed characters of broad bean the number of nodes with pods on the main stem, which turned out to be the determinant of broad bean yielding, might be strongly affected by environmental conditions. The number of nodes with pods might be considered a selecting character of high potential yielding of broad bean genotypes.
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