Establishing a Baseline for Nitrogen Policy Assessment

nitrogen, nitrogen use efficiency, nitrogen management, Environmental Economics and Policy,

Preliminary Assessment of Nitrous Oxide Offsets in a Cap and Trade Program

Nitrous oxide is a powerful greenhouse gas that is emitted from cropland treated with nitrogen fertilizer. Reducing such emissions through nutrient management might be able to produce offsets for sale in a cap and trade program aimed at reducing greenhouse gases. We use the Nitrate Leaching and Economic Analysis Program (NLEAP) model and data from the Agricultural and Resource Management Survey to examine what changes in rate, timing, or method of application a farmer would take to produce offsets. We find that reducing the application rate is the most favored approach for producing offsets. We also find that some management choices may increase nitrate losses to water.nitrous oxide, nutrient management, cap and trade, NLEAP, greenhouse gas, Environmental Economics and Policy,

The Farm Act's Regional Equity Provision: Impacts on Conservation Program Outcomes

The 2002 and 2008 Farm Acts increased funding for conservation programs that provide financial assistance to farmers to implement conservation practices on working farmland. Along with seeking cost-effective environmental benefits, these programs have a goal of spreading conservation funding equitably across States. The 2002 and 2008 Farm Acts strengthened this allocative goal by setting a minimum threshold for conservation funding for each State—one that exceeds historical funding for some States—for enrolling agricultural producers in specified conservation programs. This study uses conservation program data to examine evidence of the impacts of the Regional Equity provision of the 2002 Farm Act, and explores the tradeoffs that can occur among conservation program goals when legislation gives primacy to fund allocation. The study found that cross-State shifts in funding reduced the acres receiving conservation treatment for many resource problems, but increased the net economic benefits from treatments on some of them. Overall impacts on the types of producers enrolled were small.Conservation program outcomes, working-land, land protection programs, state funding levels, regional equity provision, cost & benefits, Agricultural and Food Policy, Environmental Economics and Policy, Resource /Energy Economics and Policy,

The Michigan infant mental health home visiting model

Selma Fraiberg’s pioneering work with infants, toddlers, and families over 40 years ago led to the development of a field in which professionals from multiple disciplines learned to work with or on behalf of infants, very young children, their parents, and the relationships that bind them together. The intent was to promote social and emotional health through enhancing the security of early developing parent–child relationships in the first years of life (Fraiberg, 2018). Called infant mental health (IMH), practitioners from fields of health, education, social work, psychology, human development, nursing, pediatrics, and psychiatry specialize in supporting the optimal development of infants and the developing relationship between infants and their caregivers. When a baby is born into optimal circumstances, to parents free of undue economic and psychological stressors and who are emotionally ready to provide care and nurturing for an infant’s needs, an IMH approach may be offered as promotion or prevention, with the goal of supporting new parent(s) in developing confidence in their capacity to understand and meet the needs of the tiny human they are coming to know and care for. However, when parental history is fraught with abandonment, loss, abuse or neglect, or the current environment is replete with economic insecurity, threats to survival due to interpersonal or community violence, social isolation, mental illness, or substance abuse, the work of the IMH therapist may require intervention or intensive treatment and becomes more psychotherapeutic in nature. The underlying therapeutic goal is to create a context in which the baby develops within the environment of a parent’s nurturing care without the psychological impingement that parental history of trauma or loss or current stressors such as isolation, poverty, or the birth of a child with special needs, can incur.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154911/1/imhj21838_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154911/2/imhj21838.pd

Evidence for Cold Accretion: Primitive Gas Flowing onto a Galaxy at z~0.274

We present UV and optical observations from the Cosmic Origins Spectrograph on the Hubble Space Telescope and Keck of a z= 0.27395 Lyman limit system (LLS) seen in absorption against the QSO PG1630+377. We detect H I absorption with log N(HI)=17.06\pm0.05 as well as Mg II, C III, Si III, and O VI in this system. The column densities are readily explained if this is a multi-phase system, with the intermediate and low ions arising in a very low metallicity ([Mg/ H] =-1.71 \pm 0.06) photoionized gas. We identify via Keck spectroscopy and Large Binocular Telescope imaging a 0.3 L_* star-forming galaxy projected 37 kpc from the QSO at nearly identical redshift (z=0.27406, \Delta v = -26 \kms) with near solar metallicity ([O/ H]=-0.20 \pm 0.15). The presence of very low metallicity gas in the proximity of a near-solar metallicity, sub-L_* galaxy strongly suggests that the LLS probes gas infalling onto the galaxy. A search of the literature reveals that such low metallicity LLSs are not uncommon. We found that 50% (4/8) of the well-studied z < 1 LLSs have metallicities similar to the present system and show sub-L_* galaxies with rho < 100 kpc in those fields where redshifts have been surveyed. We argue that the properties of these primitive LLSs and their host galaxies are consistent with those of cold mode accretion streams seen in galaxy simulations.Comment: Accepted for publication in the Astrophysical Journa

An efficient algorithm for aggregating PEPA models

Performance Evaluation Process Algebra (PEPA) is a formal language for performance modeling based on process algebra. It has previously been shown that, by using the process algebra apparatus, compact performance models can be derived which retain the essential behavioral characteristics of the modeled system. However, no efficient algorithm for this derivation was given. We present an efficient algorithm which recognizes and takes advantage of symmetries within the model and avoids unnecessary computation. The algorithm is illustrated by a multiprocessor example