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Bedmap2: Improved Ice Bed, Surface, and Thickness Datasets for Antarctica

May 22, 2013
The CryosphereThe Cryosphere, 7, 375–393, 2013
“We present Bedmap2, a new suite of gridded products describing surface elevation, ice-thickness and the seafloor and subglacial bed elevation of the Antarctic south of 60◦ S. We derived these products using data from a variety of sources, including many substantial surveys completed since the original Bedmap compilation (Bedmap1) in 2001. In particular, the Bedmap2 ice thickness grid is made from 25 million measurements, over two orders of magnitude more than were used in Bedmap1. In most parts of Antarctica the subglacial landscape is visible in much greater detail than was previously available and the improved data coverage has in many areas revealed the full scale of mountain ranges, valleys, basins and troughs, only fragments of which were previously indicated in local surveys.
Bedmap2 ice thickness grid

Bedmap2 ice thickness grid.

“The derived statistics for Bedmap2 show that the volume of ice contained in the Antarctic ice sheet (27 million cubic km) and its potential contribution to sea-level rise (58 m) are similar to those of Bedmap1, but the mean thickness of the ice sheet is 4.6 % greater, the mean depth of the bed beneath the grounded ice sheet is 72 m lower and the area of ice sheet grounded on bed below sea level is increased by 10 %. The Bedmap2 compilation highlights several areas beneath  the ice sheet where the bed elevation is substantially lower than the deepest bed indicated by Bedmap1. These products, along with grids of data coverage and uncertainty, provide new opportunities for detailed modelling of the past and future evolution of the Antarctic ice sheets.”

The Steady-state Mosaic of Disturbance and Succession across an Old-growth Central Amazon Forest Landscape

May 21, 2013

PNAS-4.coverPNAS, 28 January 2013

Jeffrey Q. Chambers, Robinson I. Negron-Juarez, Daniel Magnabosco Marra, Alan Di Vittorio, Joerg Tews, Dar Roberts, Gabriel H. P. M. Ribeiro, Susan E. Trumbore, and Niro Higuchi

“Old-growth forest ecosystems comprise a mosaic of patches in different successional stages, with the fraction of the landscape in any particular state relatively constant over large temporal and spatial scales. The size distribution and return frequency of disturbance events, and subsequent recovery processes, determine to a large extent the spatial scale over which this old-growth steady state develops. Here, we characterize this mosaic for a Central Amazon forest by integrating field plot data, remote sensing disturbance probability distribution functions, and individual-based simulation modeling. Results demonstrate that a steady state of patches of varying successional age occurs over a relatively large spatial scale, with important implications for detecting temporal trends on plots that sample a small fraction of the landscape. Long highly significant stochastic runs averaging 1.0 Mg biomass⋅ha−1⋅y−1 were often punctuated by episodic disturbance events, resulting in a sawtooth time series of hectare-scale tree biomass. To maximize the detection of temporal trends for this Central Amazon site (e.g., driven by CO2 fertilization), plots larger than 10 ha would provide the greatest sensitivity. A model-based analysis of fractional mortality across all gap sizes demonstrated that 9.1–16.9% of tree mortality was missing from plot-based approaches, underscoring the need to combine plot and remote-sensing methods for estimating net landscape carbon balance. Old-growth tropical forests can exhibit complex large-scale structure driven by disturbance and recovery cycles, with ecosystem and community attributes of hectare-scale plots exhibiting continuous dynamic departures from a steady-state condition.”

Mapping Invasion and Eradication of Feral Goats in the Alcedo Region of Isabela Island, Galapagos

May 20, 2013

International Journal of Remote SensingInternational Journal of Remote Sensing, Volume 34, Issue 7, 2013

Laura Brewington

“We conducted a time series analysis using the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data product over the Alcedo volcano region of Isabela Island in the Galápagos to determine vegetation changes before, during, and after a feral goat invasion and eradication project. Enhanced vegetation index (EVI) values for the Alcedo region of Isabela Island were analysed from 2000 to 2010 with respect to the presence of a large population of goats that was eradicated between 2004 and 2006. This study finds large-scale, seasonal vegetation pattern changes between 2000 and 2005, and 2005 and 2010. Statistically significant EVI decreases prior to and during eradication in zones where goats were present in high numbers and increases following eradication in zones with lower goat density are found. EVI appears to have changed little over the entire study period, though earlier imagery would likely reveal stronger positive post-eradication trends. Because EVI primarily reveals greenness and little about vegetation composition and structure, we find that long-term in situ vegetation monitoring is also needed to obtain a meaningful assessment of the effects of invasion and eradication at the species level.”

Representation of Ecological Systems within the Protected Areas Network of the Continental United States

May 8, 2013

PLOS ONEPLOS ONE, 23 January 2013

Jocelyn L. Aycrigg, Anne Davidson, Leona K. Svancara, Kevin J. Gergely, Alexa McKerrow, and J. Michael Scott

“If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations and moderate to high productivity soils. We used national-level data for ecological systems and a protected areas database to explore alternative ways we might be able to increase representation of ecological systems within the continental US. By following one or more of these alternatives it may be possible to increase the representation of ecological systems in the protected areas network both quantitatively (from 10% up to 39%) and geographically and come closer to meeting the suggested Convention on Biological Diversity target of 17% for terrestrial areas.

Percent area of ecological systems by protection status.

Percent area of ecological systems by protection status. Protection status designations are lands managed to maintain biodiversity (A) and lands managed to maintain biodiversity and multiple-use (B) for the continental US. Percent area is based on the area of each ecological system within each protection status divided by the total area of each ecological system.

“We used the Landscape Conservation Cooperative framework for regional analysis and found that increased conservation on some private and public lands may be important to the conservation of ecological systems in Western US, while increased public-private partnerships may be important in the conservation of ecological systems in Eastern US. We have not assessed the pros and cons of following the national or regional alternatives, but rather present them as possibilities that may be considered and evaluated as decisions are made to increase the representation of ecological systems in the protected areas network across their range of ecological, geographical, and geophysical occurrence in the continental US into the future.”

Spatio-Temporal Analysis of Droughts in Semi-Arid Regions by Using Meteorological Drought Indices

April 30, 2013

Atmosphere 2013, 4, 94-112

Alireza Shahabfar and Josef Eitzinger

“Six meteorological drought indices including percent of normal (PN), standardized precipitation index (SPI), China-Z index (CZI), modified CZI (MCZI), Z-Score (Z), the aridity index of E. de Martonne (I) are compared and evaluated for assessing spatio-temporal dynamics of droughts in six climatic regions in Iran.

Spatial distribution of monthly drought indices with the best correlation to standardized precipitation index (SPI) for January, February, March and April.

Spatial distribution of monthly drought indices with the best correlation to standardized precipitation index (SPI) for January, February, March and April.

“Results indicated that by consideration of the advantages and disadvantages of the mentioned drought predictors in Iran, the Z-Score, CZI and MCZI could be used as a good meteorological drought predictor. Depending on the month, the length of drought and climatic conditions of the region, they are an alternative to the SPI that has limitations both because of only a few available long term data series in Iran and its complex structure.”

Mapping Spatial Variations of Health Insurance Coverage in the Coastal Bend, Texas

April 23, 2013

Journal of MapsJournal of Maps, Volume 8, Issue 4, December 2012, pages 349-353

Yuxia Huang & Pamela Meyer

“A 2010 Health Needs Assessment for 15 counties of the Coastal Bend in the state of Texas indicates limited access to health care services and health insurance coverage is a main potential barrier to health care for some segments of the Coastal Bend population. The purpose of this paper is to obtain geographical sight of the health insurance coverage. The hypothesis is that the health insurance coverage by racial and ethnic groups would vary spatially. Data came from the local hospital systems and included 145,669 patient visits from 1 September 2007 through 31 August 2009. A series of maps were produced showing financial class categories for both Hispanics and Whites adults by combining the cross-tabulations of patient data and estimated population both at the zip code level. The maps show that the health insurance coverage disparities vary spatially within zip codes in the Coastal Bend. Moreover, Hispanic and White adult patients do not follow the same pattern of spatial distribution.”

URISA Invites Comments on its GIS Capability Maturity Model

April 23, 2013

URISAURISA invites experienced GIS professionals of all kinds – particularly those with management experience – to review and comment on a draft GIS Capability Maturity Model (GCMM).

The GIS Capability Maturity Model is intended primarily to define the components of an effective GIS operation, as well as to identify the characteristics of a well-managed and mature GIS. The model was originally developed in 2009 and adopted as a URISA initiative in 2010. In 2011 and 2012 it was used to inform development of the Geospatial Management Competency Model by URISA. URISA’s GIS Management Institute conducted an internal review/revision process from October 2012 through March 2013. This process resulted in the version of the model now offered for public review.

Links to the draft GCMM and an online questionnaire for reviewers are available at http://www.urisa.org/GMI_GCMM_PublicReview. The questionnaire will remain open through May 31, 2013. After the public review period, URISA’s GIS Management Institute will review all comments received, make appropriate changes, and publish a fully authorized peer-reviewed version of the model.

[Source: URISA press release]

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