Flora naczyniowa doliny Olszowki [Kotlina Sandomierska] - walory i zagadnienia ochrony

The study area was a small lowland river valley within a range of 4750 m length and approx. 150 m width (about 62 ha), situated in the south-east of Poland, in the middle of Sandomierz Basin (Fig. 1). Flora and the chosen most valuable plant communities of the river bed with adjacent ecotone zone were investigated in 2007. During the study 291 species of vascular plants were found. Among them 10 are protected: Batrachium peltatum, Convallaria majalis, Dactylorhiza majalis, Daphne mezereum, Frangula alnus, Hedera helix, Lycopodium annotium, Nuphar lutea, Utricularia vulgaris, and Viburnum opulus. Other species were considered to be value-raising, e.g. Achillea ptarmica, Batrachium circinatum, Calla palustris, Crepis paludosa, Hottonia palustris, Hypochoeris glabra, Senecio ovatus or Valeriana dioica. The number of antropophytes with the amount of 10% is relatively low. Most valuable plant communities represent 3 types of Nature 2000 habitats: natural eutrophic lakes with Magnopotamion or Hydrocharition – code 3150, transition and quaking bogs – code 7140-1, and alluvial forests with Alnus glutinosa and Fraxinus excelsior – code 91E0-3. Human activities brought about the emergence of 3 different areas within the valley: channeled river site (K), natural river bed site (N) and agricultural field site (P). Those areas differ significantly in terms of the composition of flora, vegetation and biological diversity. Most valuable is (P) and the least is (K). The greatest potential source of danger for biodiversity is the wrong forester’s management, especially interference in the natural processes (the planned building of the extra pond) and preventing wooden biomass accumulation

A Frequentist Solution to Lindley & Phillips’ Stopping Rule Problem in Ecological Realm

In this paper I provide a frequentist philosophical-methodological solution for the stopping rule problem presented by Lindley & Phillips in 1976, which is settled in the ecological realm of testing koalas’ sex ratio. I deliver criteria for discerning a stopping rule, an evidence and a model that are epistemically more appropriate for testing the hypothesis of the case studied, by appealing to physical notion of probability and by analyzing the content of possible formulations of evidence, assumptions of models and meaning of the ecological hypothesis. First, I show the difference in the evidence taken into account in different frequentist sampling procedures presented in the problem. Next, I discuss the inapplicability of the Carnapian principle of total evidence in deciding which formulation of evidence associated with a given sampling procedure and statistical model is epistemically more appropriate for testing the hypothesis in question. Then I propose a double-perspective (evidence and model) frequentist solution based on the choice of evidence which better corresponds to the investigated ecological hypothesis, as well as on the choice of a model that embraces less unrealistic ontological assumptions. Finally, I discuss two perspectives of the stopping rule dependence

Getting Straight on How Russell Underestimated Frege

Bertrand Russell in his essay On Denoting [1905] presented a theory of description developed in response to the one proposed by Gottlob Frege in his paper Über Sinn und Bedeutung [1892]. The aim of our work will be to show that Russell underestimated Frege three times over in presenting the latter’s work: in relation to the Gray’s Elegy argument, to the Ferdinand argument, and to puzzles discussed by Russell. First, we will discuss two claims of Russell’s which do not do justice to Frege: that we speak of a sense by means of quotation marks, and that all Frege does to cope with phrases that might denote nothing is define an arbitrary object as their reference. Second, we will show that Russell omitted the fact that Frege’s theory provided some answers for the puzzles presented by Russell in his essay

Applying Perspectival Realism to Frequentist Statistics: The Case of Jerzy Neyman’s Methodology and Philosophy

I investigate the extent to which perspectival realism (PR) agrees with frequentist statistical methodology and philosophy, with an emphasis on J. Neyman’s views. Based on the example of the stopping rule problem I argue that PR can naturally be associated with frequentist statistics. Then I analyze Neyman’s conception of statistical inference to conclude that PR and Neyman’s conception are incongruent. Additionally, I show that Neyman’s philosophy is internally inconsistent. I conclude that Neyman’s frequentism weakens the philosophical validity and universality of PR as analyzed from the point of view of statistical methodology

Perspectival Realism and Frequentist Statistics: The Case of Jerzy Neyman’s Methodology and Philosophy

I investigate the extent to which perspectival realism (PR) agrees with frequentist statistical methodology and philosophy, with an emphasis on J. Neyman’s views. Based on the example of the stopping rule problem, I show how PR can naturally be associated with frequentist statistics in general. I also show that there are some aspects of Neyman’s thought that seem to confirm PR and others that disconfirm it. I argue that epistemic PR is consistent with Neyman’s frequentism to a satisfactory degree and that on the grounds of Neyman’s frequentist methodology one is dealing with genuine and non-trivial perspectives. I also argue that universality and normativity of PR are weakened when analysed from the point of view of Neyman’s statistical methodology

Prior Information in Frequentist Study Designs: The Case of Neyman’s Sampling Theory

We analyse the issue of using prior information in frequentist statistical inference. For that purpose, we scrutinise different kinds of sampling designs in Jerzy Neyman’s theory to reveal a variety of ways to explicitly and objectively engage with prior information. Further, we turn to the debate on sampling paradigms (design-based vs. model-based approach) to argue that Neyman’s theory provides an argument for the conciliatory approach in the frequentism vs. Bayesianism debate. We also demonstrate that while Neyman’s theory, by allowing non-epistemic values to influence evidence collection and formulation of statistical conclusions, does not compromise the epistemic reliability of the procedures and may improve it. This undermines the value-free ideal of scientific inference

The Epistemic Consequences of Pragmatic Value-Laden Scientific Inference

In this work, we explore the epistemic import of the value-ladenness of Neyman-Pearson’s Theory of Testing Hypotheses (N-P) by reconstructing and extending Daniel Steel’s argument for the legitimate influence of pragmatic values on scientific inference. We focus on how to properly understand N-P’s pragmatic value-ladenness and the epistemic reliability of N-P. We develop an account of the twofold influence of pragmatic values on N-P’s epistemic reliability and replicability. We refer to these two distinguished aspects as “direct” and “indirect”. We discuss the replicability of experiments in terms of the indirect aspect and the replicability of outcomes in terms of the direct aspect. We argue that the influence of pragmatic values is beneficial to N-P’s epistemic reliability and replicability indirectly. We show that while the direct influence of pragmatic values can be beneficial, its negative effects on reliability and replicability are also unavoidable in some cases, with the direct and indirect aspects possibly being incongruent