Depositional and tectonic evolution of a supradetachment basin: 40Ar/39Ar geochronology of the Nova Formation, Panamint Range, California

The Nova Basin contains an upper Miocene to Pliocene supradetachment sedimentary succession that records the unroofing of the Panamint metamorphic core complex, west of Death Valley, California. Basin stratigraphy reflects the evolution of sedimentation processes from landslide emplacement during basin initiation to the development of alluvial fans composed of reworked, uplifted sections of the basin fill. ⁴⁰Ar/³⁹Ar geochronology of volcanic units in middle and lower parts of the sequence provide age control on the tectonic and depositional evolution of the basin and, more generally, insights regarding the rate of change of depositional environments in supradetachment basins. Our work, along with earlier research, indicate basin deposition from 11.38 Ma to 3.35 Ma. The data imply sedimentation rates, uncorrected for compaction, of ~100 m Myr⁻¹ in the lower, high-energy part to ~1000 m Myr⁻¹ in the middle part characterized by debris-flow fan deposition. The observed variation in sediment flux rate during basin evolution suggests that supradetachment basins have complex depositional histories involving rapid transitions in both the style and rate of sedimentation.     

Machine learning for graph-based representations of three-dimensional discrete fracture networks

Structural and topological information play a key role in modeling flow and transport through fractured rock in the subsurface. Discrete fracture network (DFN) computational suites such as dfnWorks (Hyman et al. Comput. Geosci. 84, 10–19 2015) are designed to simulate flow and transport in such porous media. Flow and transport calculations reveal that a small backbone of fractures exists, where most flow and transport occurs. Restricting the flowing fracture network to this backbone provides a significant reduction in the network’s effective size. However, the particle-tracking simulations needed to determine this reduction are computationally intensive. Such methods may be impractical for large systems or for robust uncertainty quantification of fracture networks, where thousands of forward simulations are needed to bound system behavior. In this paper, we develop an alternative network reduction approach to characterizing transport in DFNs, by combining graph theoretical and machine learning methods. We consider a graph representation where nodes signify fractures and edges denote their intersections. Using random forest and support vector machines, we rapidly identify a subnetwork that captures the flow patterns of the full DFN, based primarily on node centrality features in the graph. Our supervised learning techniques train on particle-tracking backbone paths found by dfnWorks, but run in negligible time compared to those simulations. We find that our predictions can reduce the network to approximately 20% of its original size, while still generating breakthrough curves consistent with those of the original network.     

Seasonal growth stimulation of sub-temperate estuarine phytoplankton to nitrogen and phosphorus: An outdoor microcosm experiment

A study of nutrient limitation of phytoplankton biomass production with emphasis on nitrate-nitrogen (NO₃ ^?) and ortho-phosphate-phosphorus (PO₄ ^3?) was conducted in Perdido Bay, Alabama-Florida. The experimental design employed 18-1 outdoor microcosms operated in a static renewal mode. Phytoplankton growth responses (i.e., growth stimulation) measured as chlorophyll a (chl a) fell into three principal categories: primary P stimulation occurred mostly during the cooler months at the upper bay (tidal brackish) and mid bay (lower mesohaline) stations; a total of 12 out of 36 experiments; primary N stimulation occurred mostly during the warmer months primarily at the mid-bay station and infrequently at the upper and lower bay stations (upper mesohaline); a total of 7 out of 36 experiments; and N+P costimulation occurred primarily during the warmer months in the upper bay and mid bay and during both warmer and cooler months of the lower bay; a total of 17 out of 36 experiments. Primary P stimulation was generally associated with high ratios of dissolved inorganic nitrogen (DIN) to dissolved inorganic phosphate (DIP) (ratio range: 18 to 288). Conversely, primary N stimulation was associated with decreasing DIN:DIP ratios (range 8–46). Redfield ratios of particulate organic N (PON) to particulate organic P (POP) often indicated N limitation (i.e., values often less than 10). PON:chl a ratios often indicated N sufficiency, but three occasions were noted where PON:POP and PON:chl a ratios were not congruent. It is difficult to reconcile the inorganic and organic N and P ratios with the relatively low DIP and DIN concentrations. The phytoplankton assemblage appeared not to be strongly nutrient-limited but, given a nutrient increase, responded differentially to N and P, both seasonally and along the longitudinal salinity gradient. Grazing pressure in concert with nutrient limitation was advanced as an hypothesis to explain N+P co-limitation.     

Disaggregating soil erosion processes within an evolving experimental landscape

Soil‐mantled landscapes subjected to rainfall, runoff events, and downstream base level adjustments will erode and evolve in time and space. Yet the precise mechanisms for soil erosion also will vary, and such variations may not be adequately captured by soil erosion prediction technology. This study sought to monitor erosion processes within an experimental landscape filled with packed homogenous soil, which was exogenically forced by rainfall and base level adjustments, and to define the temporal and spatial variation of the erosion regimes. Close‐range photogrammetry and terrain analysis were employed as the primary methods to discriminate these erosion regimes. Results show that (1) four distinct erosion regimes can be identified (raindrop impact, sheet flow, rill, and gully), and these regimes conformed to an expected trajectory of landscape evolution; (2) as the landscape evolved, the erosion regimes varied in areal coverage and in relative contribution to total sediment efflux measured at the outlet of the catchment; and (3) the sheet flow and rill erosion regimes dominated the contributions to total soil loss. Disaggregating the soil erosion processes greatly facilitated identifying and mapping each regime in time and space. Such information has important implications for improving soil erosion prediction technology, for assessing landscape degradation by soil erosion, for mapping regions vulnerable to future erosion, and for mitigating soil losses and managing soil resources. Copyright © 2017 John Wiley & Sons, Ltd.     

Evolution of new regional development interventions in New Zealand: An analysis of the first year of the Provincial Growth Fund

Regional development has evolved in response to shifting local and global priorities. These shifts have transformed both the way we think about regions, their role and how that shapes the outcomes and benefits that might occur from engaging in regional development. Key debates centre around the ability (or desirability) of regional development interventions to unsettle path dependence and “lock‐in” created by past approaches and to create opportunities for alternative development futures and to provide choices between sectoral‐based investments to support economic activity in contrast to a more place‐based approach to regional development. This paper overviews the dynamic nature of regional development to offer reasons for its recent resurgence by highlighting the key debates about the purpose and function of regions and what regional development can or should do. We then discuss the New Zealand context specifically and use the first year of Provincial Growth Fund investments to reflect on how the processes, objectives and goals reflect particular interpretations of the meaning and purpose of regional development. We conclude that a strong adherence to a growth imperative has the potential to reinforce path dependencies at the expense of alternative development pathways.     

Analysis of best management practice effectiveness and spatiotemporal variability based on different targeting strategies

In this study, ten best management practices (BMP) were implemented on agricultural areas in the Saginaw River Watershed using the Soil and Water Assessment Tool model based on four targeting methods (Load per Subbasin Area Index (LPSAI), Load per Unit Area Index (LPUAI), Concentration Impact Index (CII), and Load Impact Index (LII)). The effective BMPs both for targeting and non‐targeting pollutants were contour farming (CF) (except total nitrogen reduction during total phosphorus targeting scenario), residue management 1000 kg/ha and 2000 kg/ha, strip cropping, recharge structures, terracing, and native grass (NG). In contrast, conservation tillage and no tillage did not reduce significant amount of pollutants for any combination of targeting methods and priority areas. In regard to spatial correlation between targeting methods, a strong relationship was found between the LPSAI and LPUAI methods both for the sediment and total nitrogen targeting scenarios. In addition, a similar result was found between the CII and LPSAI targeting methods. Regarding the spatiotemporal variability of BMP implementation plan, distinct change in priority area was observed in the case of NG implementation by the end of the second year; however, this impact was minimal for CF due to less pollutant reduction efficiency compared to NG. Copyright © 2012 John Wiley & Sons, Ltd.     

Marine and estuarine reservoir effects in central Queensland,Australia: Determination of ΔR values

As a component of archaeological investigations on the central Queensland coast, a series of five marine shell specimens live‐collected between A.D. 1904 and A.D. 1929 and 11 shell/charcoal paired samples from archaeological contexts were radiocarbon dated to determine local ΔR values. The object of the study was to assess the potential influence of localized variation in marine reservoir effect in accurately determining the age of marine and estuarine shell from archaeological deposits in the area. Results indicate that the routinely applied ΔR value of −5 ± 35 for northeast Australia is erroneously calculated. The determined values suggest a minor revision to Reimer and Reimer's (2000) recommended value for northeast Australia from ΔR = +11 ± 5 to +12 ± 7, and specifically for central Queensland to ΔR = +10 ± 7, for near‐shore open marine environments. In contrast, data obtained from estuarine shell/charcoal pairs demonstrate a general lack of consistency, suggesting estuary‐specific patterns of variation in terrestrial carbon input and exchange with the open ocean. Preliminary data indicate that in some estuaries, at some time periods, a ΔR value of more than −155 ± 55 may be appropriate. In estuarine contexts in central Queensland, a localized estuary‐specific correction factor is recommended to account for geographical and temporal variation in ¹⁴C activity. © 2002 Wiley Periodicals, Inc.