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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
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Journal ArticleDOI
TL;DR: In this paper, a harmonized set of land-use scenarios is presented that smoothly connects historical reconstructions of land use with future projections, in the format required by ESMs, in preparation for the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC).
Abstract: In preparation for the fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC), the international community is developing new advanced Earth System Models (ESMs) to assess the combined effects of human activities (e.g. land use and fossil fuel emissions) on the carbon-climate system. In addition, four Representative Concentration Pathway (RCP) scenarios of the future (2005–2100) are being provided by four Integrated Assessment Model (IAM) teams to be used as input to the ESMs for future carbon-climate projections (Moss et al. 2010). The diversity of approaches and requirements among IAMs and ESMs for tracking land-use change, along with the dependence of model projections on land-use history, presents a challenge for effectively passing data between these communities and for smoothly transitioning from the historical estimates to future projections. Here, a harmonized set of land-use scenarios are presented that smoothly connects historical reconstructions of land use with future projections, in the format required by ESMs. The land-use harmonization strategy estimates fractional land-use patterns and underlying land-use transitions annually for the time period 1500–2100 at 0.5° × 0.5° resolution. Inputs include new gridded historical maps of crop and pasture data from HYDE 3.1 for 1500–2005, updated estimates of historical national wood harvest and of shifting cultivation, and future information on crop, pasture, and wood harvest from the IAM implementations of the RCPs for the period 2005–2100. The computational method integrates these multiple data sources, while minimizing differences at the transition between the historical reconstruction ending conditions and IAM initial conditions, and working to preserve the future changes depicted by the IAMs at the grid cell level. This study for the first time harmonizes land-use history data together with future scenario information from multiple IAMs into a single consistent, spatially gridded, set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system.

1,078 citations

Journal ArticleDOI
TL;DR: In this article, the importance of land-use history and its legacies in most ecological systems has been recognized as a legitimate and essential subject of environmental science, and recognition of these historical legacies adds explanatory power to our understanding of modern conditions at scales from organisms to the globe and reduces missteps in anticipating or managing for future conditions.
Abstract: Recognition of the importance of land-use history and its legacies in most ecological systems has been a major factor driving the recent focus on human activity as a legitimate and essential subject of environmental science. Ecologists, conservationists, and natural resource policymakers now recognize that the legacies of land-use activities continue to influence ecosystem structure and function for decades or centuries—or even longer—after those activities have ceased. Consequently, recognition of these historical legacies adds explanatory power to our understanding of modern conditions at scales from organisms to the globe and reduces missteps in anticipating or managing for future conditions. As a result, environmental history emerges as an integral part of ecological science and conservation planning. By considering diverse ecological phenomena, ranging from biodiversity and biogeochemical cycles to ecosystem resilience to anthropogenic stress, and by examining terrestrial and aquatic ecosyst...

1,069 citations

Journal ArticleDOI
01 Dec 1997-Geoderma
TL;DR: In this article, nine soil organic models were evaluated using twelve datasets from seven long-term experiments and the performance of the models was compared both qualitatively and quantitatively, and possible reasons for differences in model performance were discussed in detail.

1,064 citations

Journal ArticleDOI
TL;DR: The Electric and Magnetic Field Instrument and Integrated Science (EMFISIS) investigation on the NASA Radiation Belt Storm Probes (now named the Van Allen Probes) mission provides key wave and very low frequency magnetic field measurements to understand radiation belt acceleration, loss, and transport.
Abstract: The Electric and Magnetic Field Instrument and Integrated Science (EMFISIS) investigation on the NASA Radiation Belt Storm Probes (now named the Van Allen Probes) mission provides key wave and very low frequency magnetic field measurements to understand radiation belt acceleration, loss, and transport. The key science objectives and the contribution that EMFISIS makes to providing measurements as well as theory and modeling are described. The key components of the instruments suite, both electronics and sensors, including key functional parameters, calibration, and performance, demonstrate that EMFISIS provides the needed measurements for the science of the RBSP mission. The EMFISIS operational modes and data products, along with online availability and data tools provide the radiation belt science community with one the most complete sets of data ever collected.

1,060 citations

Journal ArticleDOI
TL;DR: In this paper, the ability of the Leaf Water Content Index (LWCI) to determine leaf relative water content (RWC) is tested on species with different leaf morphologies.

1,057 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202351
2022183
20211,148
20201,128
20191,140
20181,089