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1. Stratigraphy and vertebrate paleoecology of Upper Cretaceous–?lowest Paleogene strata on Vega Island, Antarctica

   https://doi.org/10.1016/j.palaeo.2014.03.005  

   Roberts, Eric M. ; Lamanna, Matthew C. ; Clarke, Julia A. ; Meng, Jin ; Gorscak, Eric ; Sertich, Joseph J.W. ; O'Connor, Patrick M. ; Claeson, Kerin M. ; MacPhee, Ross D.E. ( May 2014 , Palaeogeography, Palaeoclimatology, Palaeoecology)
2. SHALLOW MARINE PALEOECOLOGY OF HALOBIA OF THE NORIAN (LATE TRIASSIC) IN OWAKA, NEW ZEALAND

   https://doi.org/10.1130/abs/2019AM-340530  

   Nelson, Emily P. ; Tackett, Lydia S. ; Clement, Annaka M. ; Gibbs Schnucker, Sara ( January 2019 , Geological Society of America Abstracts with Programs)
3. Phylogenetic paleoecology: macroecology within an evolutionary framework

   https://doi.org/10.1017/pab.2020.61  

   Lamsdell, James C. ; Congreve, Curtis R. ( March 2021 , Paleobiology)

   The burgeoning field of phylogenetic paleoecology (Lamsdell et al. 2017) represents a synthesis of the related but differently focused fields of macroecology (Brown 1995) and macroevolution (Stanley 1975). Through a combination of the data and methods of both disciplines, phylogenetic paleoecology leverages phylogenetic theory and quantitative paleoecology to explain the temporal and spatial variation in species diversity, distribution, and disparity. Phylogenetic paleoecology is ideally situated to elucidate many fundamental issues in evolutionary biology, including the generation of new phenotypes and occupation of previously unexploited environments; the nature of relationships among character change, ecology, and evolutionary rates; determinants of the geographic distribution of species and clades; and the underlying phylogenetic signal of ecological selectivity in extinctions and radiations. This is because phylogenetic paleoecology explicitly recognizes and incorporates the quasi-independent nature of evolutionary and ecological data as expressed in the dual biological hierarchies (Eldredge and Salthe 1984; Congreve et al. 2018; Fig. 1), incorporating both as covarying factors rather than focusing on one and treating the other as error within the dataset.
4. Impacts of Paleoecology on the TEX ₈₆ Sea Surface Temperature Proxy in the Pliocene-Pleistocene Mediterranean Sea

   https://doi.org/10.1029/2018PA003494  

   Polik, Catherine A. ; Elling, Felix J. ; Pearson, Ann ( December 2018 , Paleoceanography and Paleoclimatology)
5. What plant is that? Chemotaxonomy from n-alkane molecular distributions of East African plants with implications for paleoecology

   Shi, S. C. ; Cerling, T. E. ; Uno, K. T. ( December 2018 , American Geophysical Union, Fall Meeting 2018, abstract #PP31D-1701)

   Plant wax n-alkanes serve as reliable biomarkers given their abundance, stability, and distribution in the sedimentary record. As a result, their utility as isotopic indicators of vegetation and hydroclimate is well-established. A less well studied aspect of plant n-alkanes is the use of their molecular distributions, or differences in the relative abundances of homologues, for chemotaxonomy. Limited plant n-alkane datasets from southern and western Africa suggest molecular distributions can differentiate C4 grasses from C3 woody vegetation. Here we examine a suite of plants from East Africa, where almost no plant biomarkers data exists from modern plants. In this study, over 100 samples of 19 species of plants were collected monthly from the Samburu National Reserve in Kenya from October 2001 to March 2003, across multiple growing seasons; n-alkane distributions and concentrations from both individual species and designated plant functional types (PFTs) - based on both photosynthetic pathway and growth form - were investigated. Previously published n-alkane data from western and southern Africa, or the "All Africa" dataset, were examined to further understand potential spatial differences in biomarker distributions. n-alkane distributions in both datasets vary in both individual species and within PFTs. Principal Components Analysis (PCA) was used to analyze distributionsmore »of n-alkanes in individual species and in PFTs, to determine the primary sources of variability. Results indicate that n-alkane distributions can be used to separate some individual species - namely, C4 grasses - and can be used to separate PFTs. C4 grasses and C3 woody vegetation were successfully separated in both datasets. Additionally, we found that n-alkane concentrations vary by four orders of magnitude across homologues and PFTs. A compiled African plant data set shows that C31 concentration is the most representative of the plant community for C4 grasses, C3 shrubs, and C3 trees and thus, is most ideal for stable isotope vegetation reconstructions. These data suggest that an organic geochemical approach to plant taxonomy is crucial to future biomarker applications for reconstructing vegetation distribution and structure in past ecosystems.« less