scispace - formally typeset
Search or ask a question
Institution

University of New Hampshire

EducationDurham, New Hampshire, United States
About: University of New Hampshire is a education organization based out in Durham, New Hampshire, United States. It is known for research contribution in the topics: Population & Solar wind. The organization has 9379 authors who have published 24025 publications receiving 1020112 citations. The organization is also known as: UNH.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the pervasiveness of the adoption of environmental management practices is assessed using data from a national survey, firm visits, and phone interviews, and the authors assess whether the adoption is related to leadership in environmental innovation and performance.
Abstract: This paper explores whether there are discernible differences in the environmental innovation and performance of US chemical firms that can be explained by differences in the management practices and characteristics of the firms. Using data from a national survey, firm visits, and phone interviews, this research assesses the pervasiveness of the adoption of environmental management practices. It also assesses whether the adoption of these practices is related to leadership in environmental innovation and performance. This paper shows high levels of adoption of several practices for improving environmental innovation and performance. Firms are using practices such as total quality management, certification of suppliers, R&D, and the involvement of employees in innovation and training to integrate environmental management with their production systems. In addition, firms with the highest adoption levels of environmental practices have substituted cleaner materials and changed their production processes for cleaner production, and they are leaders in reducing their generation of chemical waste.

295 citations

Journal ArticleDOI
TL;DR: In this paper, a global synthesis of reactive nitrogen (Nr) loading to the continental landmass and subsequent riverine nitrogen fluxes under a gradient of anthropogenic disturbance, from pre-industrial to contemporary, is provided.
Abstract: This paper provides a global synthesis of reactive nitrogen (Nr) loading to the continental landmass and subsequent riverine nitrogen fluxes under a gradient of anthropogenic disturbance, from pre-industrial to contemporary. A mass balance model of nitrogen loading to the landmass is employed to account for transfers of Nr between atmospheric input sources (as food and feed products) and sub- sequent consumer output loads. This calculation produces a gridded surface of nitrogen loading ulti- mately mobilizable to aquatic systems (Nmob). Compared to the pre-industrial condition, nitrogen loading to the landmass has doubled from 111 to 223 Tg/year due to anthropogenic activities. This is particularly evident in the industrialized areas of the globe where contemporary levels of nitrogen loading have increased up to 6-fold in many areas. The quantity of nitrogen loaded to the landscape has shifted from a chiefly fixation-based system (89% of total loads) in the pre-industrial state to a het- erogeneous mix in contemporary times where fertilizer (15%), livestock (24%) and atmospheric de- position (15%) dominate in many parts of the industrialized and developing world. A nitrogen transport model is developed from a global database of drainage basin characteristics and a comprehensive compendium of river chemistry observations. The model utilizes constituent delivery coefficients based on basin temperature and hydraulic residence times in soils, rivers, lakes and reservoirs to transport nitrogen loads to river mouths. Fluxes are estimated for total nitrogen, dissolved inorganic nitrogen, and total organic nitrogen. Model results show that total nitrogen fluxes from river basins have doubled from 21 Tg/year in the pre-industrial to 40 Tg/year in the contemporary period, with many industrialized areas of the globe showing an increase up to 5-fold. DIN fluxes from river basins have increased 6-fold from 2.4 Tg/year in the pre-industrial to 14.5 Tg/year in the contemporary period. The amount of nitrogen loading delivered to river mouth as flux is greatly influenced by both basin temperatures and hydraulic residence times suggesting a regional sensitivity to loading. The global, aggregate nitrogen retention on the continental land mass is 82%, with a range of 0-100% for individual basins. We also present the first seasonal estimates of riverine nitrogen fluxes at the global scale based on monthly discharge as the primary driver.

295 citations

Book
01 Jan 1991
TL;DR: The inadequacies of conventional parallel languages for programming multicomputers are identified, and a compiler that translates C* programs into C programs suitable for compilation and execution on a hypercube multicomputer is presented.
Abstract: The inadequacies of conventional parallel languages for programming multicomputers are identified. The C* language is briefly reviewed, and a compiler that translates C* programs into C programs suitable for compilation and execution on a hypercube multicomputer is presented. Results illustrating the efficiency of executing data-parallel programs on a hypercube multicomputer are reported. They show the speedup achieved by three hand-compiled C* programs executing on an N-Cube 3200 multicomputer. The first two programs, Mandelbrot set calculation and matrix multiplication, have a high degree of parallelism and a simple control structure. The C* compiler can generate relatively straightforward code with performance comparable to hand-written C code. Results for a C* program that performs Gaussian elimination with partial pivoting are also presented and discussed. >

294 citations

Journal ArticleDOI
TL;DR: This study compiles over 7,000 field observations to present a data-driven map of northern peatlands and their carbon and nitrogen stocks, and uses machine-learning techniques with extensive peat core data to create observation-based maps ofNorthern peatland C and N stocks and to assess their response to warming and permafrost thaw.
Abstract: Northern peatlands have accumulated large stocks of organic carbon (C) and nitrogen (N), but their spatial distribution and vulnerability to climate warming remain uncertain. Here, we used machine-learning techniques with extensive peat core data (n > 7,000) to create observation-based maps of northern peatland C and N stocks, and to assess their response to warming and permafrost thaw. We estimate that northern peatlands cover 3.7 ± 0.5 million km2 and store 415 ± 150 Pg C and 10 ± 7 Pg N. Nearly half of the peatland area and peat C stocks are permafrost affected. Using modeled global warming stabilization scenarios (from 1.5 to 6 °C warming), we project that the current sink of atmospheric C (0.10 ± 0.02 Pg C⋅y-1) in northern peatlands will shift to a C source as 0.8 to 1.9 million km2 of permafrost-affected peatlands thaw. The projected thaw would cause peatland greenhouse gas emissions equal to ∼1% of anthropogenic radiative forcing in this century. The main forcing is from methane emissions (0.7 to 3 Pg cumulative CH4-C) with smaller carbon dioxide forcing (1 to 2 Pg CO2-C) and minor nitrous oxide losses. We project that initial CO2-C losses reverse after ∼200 y, as warming strengthens peatland C-sinks. We project substantial, but highly uncertain, additional losses of peat into fluvial systems of 10 to 30 Pg C and 0.4 to 0.9 Pg N. The combined gaseous and fluvial peatland C loss estimated here adds 30 to 50% onto previous estimates of permafrost-thaw C losses, with southern permafrost regions being the most vulnerable.

294 citations


Authors

Showing all 9489 results

NameH-indexPapersCitations
Derek R. Lovley16858295315
Peter B. Reich159790110377
Jerry M. Melillo13438368894
Katja Klein129149987817
David Finkelhor11738258094
Howard A. Stone114103364855
James O. Hill11353269636
Tadayuki Takahashi11293257501
Howard Eichenbaum10827944172
John D. Aber10720448500
Andrew W. Strong9956342475
Charles T. Driscoll9755437355
Andrew D. Richardson9428232850
Colin A. Chapman9249128217
Nicholas W. Lukacs9136734057
Network Information
Related Institutions (5)
University of Maryland, College Park
155.9K papers, 7.2M citations

94% related

Pennsylvania State University
196.8K papers, 8.3M citations

94% related

University of Colorado Boulder
115.1K papers, 5.3M citations

92% related

Michigan State University
137K papers, 5.6M citations

92% related

Texas A&M University
164.3K papers, 5.7M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022183
20211,148
20201,128
20191,140
20181,089