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  • 1
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    Ecology. Essential biodiversity variables (2013)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2013-01-19
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pereira, H M -- Ferrier, S -- Walters, M -- Geller, G N -- Jongman, R H G -- Scholes, R J -- Bruford, M W -- Brummitt, N -- Butchart, S H M -- Cardoso, A C -- Coops, N C -- Dulloo, E -- Faith, D P -- Freyhof, J -- Gregory, R D -- Heip, C -- Hoft, R -- Hurtt, G -- Jetz, W -- Karp, D S -- McGeoch, M A -- Obura, D -- Onoda, Y -- Pettorelli, N -- Reyers, B -- Sayre, R -- Scharlemann, J P W -- Stuart, S N -- Turak, E -- Walpole, M -- Wegmann, M -- New York, N.Y. -- Science. 2013 Jan 18;339(6117):277-8. doi: 10.1126/science.1229931.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centro de Biologia Ambiental, Faculdade de Ciencias da Universidade de Lisboa, Lisboa, Portugal. hpereira@fc.ul.pt〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23329036" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; *Biodiversity ; *Environmental Monitoring ; Genetic Variation ; Population
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Satellites: Make Earth observations open access (2014)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2014-09-05
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wulder, Michael A -- Coops, Nicholas C -- England -- Nature. 2014 Sep 4;513(7516):30-1. doi: 10.1038/513030a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Canadian Forest Service, Natural Resources Canada, Victoria, Canada. ; Faculty of Forest Resources Management, University of British Columbia, Vancouver, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25186885" target="_blank"〉PubMed〈/a〉
    Keywords: *Access to Information ; *Earth (Planet) ; *Environmental Monitoring/economics/instrumentation ; Policy Making ; *Satellite Imagery/economics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Environmental science: Agree on biodiversity metrics to track from space (2015)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2015-07-24
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Skidmore, Andrew K -- Pettorelli, Nathalie -- Coops, Nicholas C -- Geller, Gary N -- Hansen, Matthew -- Lucas, Richard -- Mucher, Caspar A -- O'Connor, Brian -- Paganini, Marc -- Pereira, Henrique Miguel -- Schaepman, Michael E -- Turner, Woody -- Wang, Tiejun -- Wegmann, Martin -- England -- Nature. 2015 Jul 23;523(7561):403-5. doi: 10.1038/523403a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Twente, Enschede, the Netherlands. ; Institute of Zoology, Zoological Society of London, UK. ; University of British Columbia, Vancouver, Canada. ; Group on Earth Observations, Geneva, Switzerland. ; University of Maryland, College Park, Maryland, USA. ; University of New South Wales, Sydney, Australia. ; Alterra, Wageningen University, Wageningen, the Netherlands. ; United Nations Environment Programme World Conservation Monitoring Centre, Cambridge, UK. ; European Space Agency, Frascati, Italy. ; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Germany. ; University of Zurich, Zurich, Switzerland. ; NASA, Washington, DC, USA. ; ITC University of Twente, Enschede, the Netherlands. ; University of Wuerzburg, Wuerzburg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26201582" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biodiversity ; Conservation of Natural Resources/methods ; Ecological Parameter Monitoring/instrumentation/*methods ; Ecology/instrumentation/*methods/standards ; Environmental Policy ; *Satellite Imagery
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 4
    Electronic Resource
    Electronic Resource
    Assessing forest growth across southwestern Oregon under a range of current and future global change scenarios using a process model, 3-PG (2001)
    Oxford, UK : Blackwell Science Ltd
    Global change biology 7 (2001), S. 0 
    Details
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: With improvements in mapping regional distributions of vegetation using satellite-derived information, there is an increasing interest in the assessment of current limitations on forest growth and in making projections of how productivity may be altered in response to changing climatic conditions and management policies. We utilised a simplified physiologically based process model (3-PG) across a 54 000 km2 mountainous region of southwestern Oregon, USA, to evaluate the degree to which maximum periodic mean annual increment (PAI) of forests could be predicted at a set of 448 forest inventory plots. The survey data were pooled into six broad forest types (coastal rain forest, interior coast range forest, mixed conifer, dry-site Douglas-fir, subalpine forest, and pine forest) and compared to the 3-PG predictions at a spatial resolution of 1 km2. We found good agreement (r2 = 0.84) between mean PAI values of forest productivity for the six forest types with those obtained from field surveys. With confidence at this broader level of integration, we then ran model simulations to evaluate the constraints imposed by (i) soil fertility under current climatic conditions, (ii) the effect of doubling monthly precipitation across the region, and (iii) a widely used climatic change scenario that involves modifications in monthly mean temperatures and precipitation, as well as a doubling in atmospheric CO2 concentrations. These analyses showed that optimum soil fertility would more than double growth, with the greatest response in the subalpine type and the least increase in the coastal rain forests. Doubling the precipitation increased productivity in the pine type (〉 50%) with reduced responses elsewhere. The climate change scenario with doubled atmospheric CO2 increased growth by 50% on average across all forest types, primarily as a result of a projected 33% increase in photosynthetic capacity. This modelling exercise indicates that, at a regional scale, a general relationship exists between simulated maximum leaf area index and maximum aboveground growth, supporting the contention that satellite-derived estimates of leaf area index may be good measures of the potential productivity of temperate evergreen forests.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1046/j.1365-2486.2001.00385.x
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  • 5
    Electronic Resource
    Electronic Resource
    Estimation of plant and leaf area index using three techniques in a mature native eucalypt canopy (2004)
    Oxford, UK : Blackwell Science Pty
    Austral ecology 29 (2004), S. 0 
    Details
    ISSN: 1442-9993
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Abstract  Leaf area index (L) is a critical variable in monitoring and modelling forest condition and growth and is therefore important for foresters and environmental scientists to measure routinely and accurately. We compared three different methods for estimating L: a plant canopy analyser (PCA), a point-quadrat camera method and digital hemispherical photography at a native eucalypt forest canopy at Tumbarumba in southern New South Wales, Australia. All of these methods produced indirect estimates of L based on the close coupling between radiation penetration and canopy structure. The individual L estimates were compared, and the potential advantages and disadvantages of each method were discussed in relation to use in forest inventory and in field data collection programmes for remote sensing calibration and verification. The comparison indicated that all three methods, PCA, digital hemispherical photography and the modified point-quadrat camera method, produced similar estimates with a standard error between techniques of less than 0.2 L units. All methods, however, provided biased estimates of L and calibration is required to derive true stand L. A key benefit, however, of all of these estimation methods is that observations can be collected in a short period of time (1–2 h of field-work per plot).
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1442-9993.2004.01370.x
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  • 6
    Electronic Resource
    Electronic Resource
    Estimating mean monthly incident solar radiation on horizontal and inclined slopes from mean monthly temperatures extremes (2000)
    Springer
    International journal of biometeorology 44 (2000), S. 204-211 
    Details
    ISSN: 1432-1254
    Keywords: Keywords Radiation ; Prediction ; Minimum and maximum temperature ; Slope correction
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geography , Physics
    Notes: Abstract  Although satellite-borne sensors are now available to estimate cloud cover and incoming short-wave radiation across the Earth’s surface, the study of climatic variation and its impact on terrestrial and marine ecosystems involves historical analyses of data from networks of weather stations that only record extremes in temperatures and precipitation on a daily basis. Similarly, when projections are made with global atmospheric circulation models, the spatial resolution of predicted radiation is too coarse to incorporate the effects of heterogeneous topography. In this paper, we review the development and set forth a set of general equations that allow both diffuse and direct solar radiation to be estimated for each month on the basis of mean daily maximum and minimum temperatures, latitude, elevation, slope, and aspect. Adjustments for differences in slope, aspect, and elevation are made by varying the fraction of diffuse and direct solar beam radiation. To test the equations on various slopes and under different climatic conditions, we drew on high-quality radiation data recorded at a number of sites on three continents. On horizontal surfaces the set of equations predicted both direct and diffuse components of solar radiation within 1%–7% of recorded values. On slopes, estimates of monthly mean solar radiation were with 13% of observed values with a mean error of less than 2 MJ m–2day–1 over any given month.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s004840000073
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  • 7
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    Inferring drought and heat sensitivity across a Mediterranean forest region in southwest Western Australia: a comparison of approaches (2015)
    Oxford University Press
    In: Forestry
    Details
    Publication Date: 2015-08-07
    Description: Changes in climate trends and extreme climatic events are increasingly impacting on forests around the world. In order to better understand how and where major ecological and climatic changes will affect our forested ecosystems, tools based on landscape sensitivity analysis need to be developed to help inform sustainable forest management. This study was undertaken in the Northern Jarrah Forest (NJF) region in the Mediterranean climate of southwest Western Australia. Extreme drought and multiple heatwaves in 2010/2011 resulted in large-scale tree canopy dieback in the NJF. In this study, we used Landsat satellite imagery to (1) accurately map the damaged areas, (2) produce a damage probability model and (3) compare the model with a probability model derived from data collected through an airborne flight survey. We found that the Landsat-derived Normalized Difference Vegetation Index was a good indicator of drought/heat induced damage in the NJF region. Both probability models identified the same set of topography and climate-related factors for determining the probability of drought/heat damage within the landscape. Extrapolation of the Landsat satellite method-based model, however, produced a more deterministic and useful drought/heat damage sensitivity map for the NJF region. The techniques and tools developed, and applied, in this study can readily be transferred to other regions around the world and can assist in the sustainable management and timely climate adaptation efforts to accommodate our future forests.
    Print ISSN: 0015-752X
    Electronic ISSN: 1464-3626
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Oxford University Press
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  • 8
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    A remote sensing approach to biodiversity assessment and regionalization of the Canadian boreal forest (2013)
    Sage
    Details
    Publication Date: 2013-01-31
    Description: Successful conservation planning for the Canadian boreal forest requires biodiversity data that are both accessible and reliable. Spatially exhaustive data is required to inform on conditions, trends and context, with context enabling consideration of conservation opportunities and related trade-offs. However, conventional methods for measuring biodiversity, while useful, are spatially constrained, making it difficult to apply over wide geographic regions. Increasingly, remotely sensed imagery and methods are seen as a viable approach for acquiring explicit, repeatable and multi-scale biodiversity data over large areas. To identify relevant remotely derived environmental indicators specific to biodiversity within the Canadian boreal forest, we assessed indicators of the physical environment such as seasonal snow cover, topography and vegetation production. Specifically, we determined if the indicators provided distinct information and whether they were useful predictors of species richness (tree, mammal, bird and butterfly species). Using cluster analysis, we also assessed the applicability of these indicators for broad ecosystem classification of the Canadian boreal forest and the subsequent attribution of these stratified regions (i.e. clusters). Our results reveal that the indicators used in the cluster creation provided unique information and explained much of the variance in tree (92.6%), bird (84.07%), butterfly (61.4%) and mammal (22.6%) species richness. Spring snow cover explained the most variance in species richness. Results further show that the 15 clusters produced using cluster analysis were principally stratified along a latitudinal gradient and, while varied in size, captured a range of different environmental conditions across the Canadian boreal forest. The most important indicators for discriminating between the different cluster groups were seasonal greenness, a multipart measure of climate, topography and land use, and wetland cover, a measure of the percentage of wetland within a 1 km 2 cell.
    Print ISSN: 0309-1333
    Electronic ISSN: 1477-0296
    Topics: Geography
    Published by Sage
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  • 9
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    Estimation of potential forest productivity across the Oregon transect using satellite data and monthly weather records (2001)
    Taylor & Francis
    Details
    Publication Date: 2001-01-01
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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  • 10
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    Detecting mountain pine beetle red attack damage with EO‐1 Hyperion moisture indices (2007)
    Taylor & Francis
    Details
    Publication Date: 2007-05-01
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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