Assessing the environmental factors that influence the ability of a threatened species to move through a landscape can be used to identify conservation actions that connect isolated populations. However, direct observations of species' movement are often limited, making the development of alternate approaches necessary. Here we use landscape genetic analyses to assess the impact of landscape features on the movement of individuals between local populations of a threatened snake, the eastern massasauga rattlesnake (
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Abstract Sistrurus catenatus ). We linked connectivity data with habitat information from two landscapes of similar size: a large region of unfragmented habitat and a previously studied fragmented landscape consisting of isolated patches of habitat. We used this analysis to identify features of the landscape where modification or acquisition would enhance population connectivity in the fragmented region. We found evidence that current connectivity was impacted by both contemporary land‐cover features, especially roads, and inherent landscape features such as elevation. Next, we derived estimates of expected movement ability using a recently developed pedigree‐based approach and least‐cost paths through the unfragmented landscape. We then used our pedigree and resistance map to estimate resistance polygons of the potential extent forS. catenatus movement in the fragmented landscape. These polygons identify possible sites for future corridors connecting currently isolated populations in this landscape by linking the impact of future habitat modification or land acquisition to dispersal ability in this species. Overall, our study shows how modeling landscape resistance across differently fragmented landscapes can identify habitat features that affect contemporary movement in threatened species in fragmented landscapes and how this information can be used to guide mitigation actions whose goal is to connect isolated populations. -
Summary Plant small
RNA s (sRNA s) modulate key physiological mechanisms through post‐transcriptional and transcriptional silencing of gene expression. SmallRNA s fall into two major categories: those are reliant onRNA ‐dependentRNA polymerases ( s) for biogenesis and those that are not. KnownRDR /RDR 12 /6 ‐dependentsRNA s include phased and repeat‐associated short interferingRNA s, while known /RDR 12 /6 ‐independentsRNA s are primarily microRNA s (miRNA ) and other hairpin‐derivedsRNA s. In this study we produced and analyzedsRNA ‐seq libraries fromrdr1 /rdr2 /rdr6 triple mutant plants. We found 58 previously annotated miRNA loci that were reliant on , ‐RDR 12 , or ‐6 function, casting doubt on their classification. We also found 38 /RDR 12 /6‐independentsRNA loci that are not s or otherwise hairpin‐derived, and did not fit into other known paradigms forMIRNA sRNA biogenesis. These 38sRNA ‐producing loci have as‐yet‐undescribed biogenesis mechanisms, and are frequently located in the vicinity of protein‐coding genes. Altogether, our analysis suggests that these 38 loci represent one or more undescribed types ofsRNA inArabidopsis thaliana . -
Abstract Functional traits fall along a continuum from resource conservative to acquisitive and are powerful predictors of the ecological settings necessary for a species to persist and establish. As a consequence, a major problem that functional trait analysis could address is understanding the ecological contexts necessary for the persistence of polyploid plants, because early generation polyploids, or “neopolyploids,” are at a high extinction risk. Because neopolyploidy could increase nutrient limitation, growth strategies should shift to accommodate the increased need for resources, but this prediction is untested. To address this gap, we compared the functional trait responses of diploids, synthetic neotetraploids, and naturally occurring tetraploids of
Heuchera cylindrica , an herbaceous perennial plant, to nutrient manipulations in a greenhouse experiment. We found strong support for the hypothesis that neotetraploidy increases nutrient requirements, as evidenced by reduced productivity and increased tissue concentrations of nitrogen and phosphorus in neotetraploids. We also found that the repeated formation of independent origins of neotetraploidy led to differing responses to nutrient supply, but neotetraploidy generally shifted functional traits to be more resource acquisitive and inefficient. Taken together, our results suggest that shifts in functional trait responses may constrain the ability of neopolyploids to establish in nutrient‐poor habitats. -
Abstract Patterns of
δ 18O andδ 2H in Earth's precipitation provide essential scientific data for use in hydrological, climatological, ecological and forensic research. Insufficient global spatial data coverage promulgated the use of gridded datasets employing geostatistical techniques (isoscapes) for spatiotemporally coherent isotope predictions. Cluster‐based isoscape regionalization combines the advantages of local or regional prediction calibrations into a global framework. Here we present a revision of a Regionalized Cluster‐Based Water Isotope Prediction model (RCWIP2) incorporating new isotope data having extensive spatial coverage and a wider array of predictor variables combined with high‐resolution gridded climatic data. We introduced coupling ofδ 18O andδ 2H (e.g.,d ‐excess constrained) in the model predictions to prevent runaway isoscapes when each isotope is modelled separately and cross‐checked observed versus modelledd ‐excess values. We improved model error quantification by adopting full uncertainty propagation in all calculations. RCWIP2 improved the RMSE over previous isoscape models by ca. 0.3 ‰ forδ 18O and 2.5 ‰ forδ 2H with an uncertainty <1.0 ‰ forδ 18O and < 8 ‰ forδ 2H for most regions of the world. The determination of the relative importance of each predictor variable in each ecoclimatic zone is a new approach to identify previously unrecognized climatic drivers on mean annual precipitationδ 18O andδ 2H. The improved RCWIP2 isoscape grids and maps (season, monthly, annual, regional) are available for download athttps://isotopehydrologynetwork.iaea.org .