Background: Taxonomic descriptions are traditionally composed in natural language and published in a format that cannot be directly used by computers. The Exploring Taxon Concepts (ETC) project has been developing a set of web-based software tools that convert morphological descriptions published in telegraphic style to character data that can be reused and repurposed. This paper introduces the first semi-automated pipeline, to our knowledge, that converts morphological descriptions into taxon-character matrices to support systematics and evolutionary biology research. We then demonstrate and evaluate the use of the ETC Input Creation - Text Capture - Matrix Generation pipeline to generate body part measurement matrices from a set of 188 spider morphological descriptions and report the findings. Results: From the given set of spider taxonomic publications, two versions of input (original and normalized) were generated and used by the ETC Text Capture and ETC Matrix Generation tools. The tools produced two corresponding spider body part measurement matrices, and the matrix from the normalized input was found to be much more similar to a gold standard matrix hand-curated by the scientist co-authors. Special conventions utilized in the original descriptions (e.g., the omission of measurement units) were attributed to the lower performance of using the original input. The results show that simple normalization of the description text greatly increased the quality of the machine-generated matrix and reduced edit effort. The machine-generated matrix also helped identify issues in the gold standard matrix. Conclusions: ETC Text Capture and ETC Matrix Generation are low-barrier and effective tools for extracting measurement values from spider taxonomic descriptions and are more effective when the descriptions are self-contained. Special conventions that make the description text less self contained challenge automated extraction of data from biodiversity descriptions and hinder the automated reuse of the published knowledge. The tools will be updated to support new requirements revealed in this case study.

Post-mining land use potentials are greatly influenced by mine soil properties. I analyzed and classified coal mine soils in SW VA and mineral sands mine soils in SE VA to aid development of appropriate post-mining land use interpretations. For coal mine soils, long-term pedogenesis was assessed in sandstone (SS) and/or siltstone (SiS) spoils with and without surface amendments. For mineral sands mined lands, I evaluated their spatial variability with respect to underlying relic mining influences and rowcrop productivity. Coal mine subsoils densified as root-limiting layers formed that were not observed initially and all soils had weak pedogenic development (^Bw; cambic horizons), particularly SS derived soils. Initial rock spoil type strongly influenced coal mine soils over time (i.e., SS had coarser textures and lower subsoil pH vs. SiS). However, most soil chemical properties (e.g., pH, EC, CEC) became similar in ^A horizons over time. Fe-oxides increased, and extractable-P decreased with weathering, raising concerns for long-term P-availability. Organic amendments applied to rock spoil surfaces sustained higher total-N (sawdust and biosolids) and extractable P (biosolids). Soil carbon sequestration rates did not differ among rock types or amendments (0.16 to 0.28 Mg ha yr-1). Further, mineral sands mine soils were limited by densic contacts and short-range variability of important properties (texture) appeared related to underlying relic mining features (pits and berms). Yields in reclaimed soils were more variable than in adjacent undisturbed farmland, but mean yields were only slightly reduced for soybean in 2020. Coloration and Fe-oxide spectral indices had weak to moderate negative correlations with yield. Berm positions supported better soybean growth (three out of five sites), while pit positions were redder/darker (one out of five sites). Current Soil Taxonomy conveys anthropogenic origins at the family (e.g., spolic) and subgroup (e.g., Anthroportic) levels. Existing taxa and proposed Artesols order criteria both acknowledge effective soil depth x compaction limitations (Anthrodensic subgroup), but Artesols more effectively recognizes pedogenesis (Inceptic subgroup) and acknowledges mine soils at the highest level. The biggest management limitation for both mine soil types is root-limiting compaction; thus, future efforts should focus on defining depth ranges and taxonomic interpretations for densic contacts. / Doctor of Philosophy / Surface mining results in drastic disturbances to the original soil, land, and water features. Actual impacts vary due to local site conditions and methods used for mineral extraction and reclamation. Advancing reclamation science requires an understanding of the resulting mine soil properties and how they vary spatially and develop over time. This research program involved two very different mining scenarios and resultant mine soil types in Virginia that were both evaluated in terms of soil properties, taxonomic placements, and land use interpretations. First, I assessed Appalachian coal mine soils in southwestern Virginia following 34 years of soil development in sandstone (SS) and/or siltstone (SiS) derived overburden with and without surface amendments. Over time, rocky mine spoils transformed into weakly developed soil profiles, commonly with four to five total distinct layers (horizons), along with apparent "self-compacted" layers at depth. SS soils were coarser textured with somewhat better subsoil structure, while SiS soils were finer textured and had higher subsoil pH. However, many chemical properties were similar in the soil surface. Organic amendments and topsoil return imparted only subtle differences over time. A secondary objective was to assess mineral sands mine soils, which originate from recombined Coastal Plain sediments. Due to the nature of their wet deposition during final reclamation, these mine soils exhibited high variability across local landforms. Soil profiles over former berm positions were composed mostly of sandier materials, while pit positions had more variable materials and features. Reclaimed rowcrop yields were moderately correlated with bare soil remotely sensed variables. Soils in pit positions were redder in color due to higher clay. While yields were variable, especially in drier years, berms appeared to support better soybean growth, but results were inconsistent across fields. For both mine soil types, root-limiting compaction is their biggest impediment to productive use. Forestry is the predominant post-mining land use on former coal mines, while rowcrop production is becoming more common on former minerals sands mines. Since these two different post-mining environments present unique challenges for correctly interpreting their post-disturbance land-uses, it is important to convey their special properties (e.g., densic contacts) and limitations in their classification.

<p> Chapter 1 is the first revision of the New World species of the genus <em>Rhipidandrus</em> LeConte, 1862 (Coleoptera: Tenebrionidae). All previously described species except <em>R. fungicola</em> Friedenreich, 1883 are redescribed, including a diagnosis and distribution information. <em>Rhipidandrus punctatus</em> <strong>n. sp.</strong> is described from Peru, Panama, and Chiapas, Mexico. New synonymies (junior synonyms first) include: <em>R. mexicanus</em> Sharp, 1905 = <em>R. paradoxus</em> (Palisot de Beauvois, 1818); <em>R. cornutus</em> (Arrow, 1904) = <em>R. panamaensis </em>(Barber, 1914) = <em>R. peruvianus</em> (Laporte, 1840); <em>R. peninsularis</em> Horn, 1894 = <em>R. micrographus</em> (Lacordiare, 1865). <em>Eledona peruviana </em>Laporte, 1840 is recognized as <em>nomen nudum</em> according to ICZN 1999: Article 12. A revised species checklist, a dichotomous key, an interactive key, and distribution maps are also presented.  </p> <p>Chapter 2 represents the first phylogenetic insight into the relationships within Bolitophagini in relation to Toxicini with more than three taxa sampled. For analyses, 34 taxa were sampled, with representatives from nine bolitophagine genera and seven toxicine genera with 3 outgroup taxa. Six gene regions from nuclear, ribosomal, and mitochondrial DNA were amplified using polymerase chain reactions and sequenced. Bayesian and maximum likelihood analyses were run on the 4049 bp concatenated dataset via the CIPRES Science Gateway. In both resulting trees, the monophyly of Bolitophagini is recovered with high support (BS = 100, PP = 100). The monophyly of Toxicini was recovered, but with poor support (BS = 60, PP = 70). The monophyletic clade containing both Bolitophagini and Toxicini was also recovered with high support (BS = 100, PP = 100).  </p> <p><br></p>