Institution
Forest Research Institute
Facility•Dehra Dūn, India•
About: Forest Research Institute is a facility organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Population & Forest management. The organization has 5320 authors who have published 7625 publications receiving 185876 citations.
Topics: Population, Forest management, Picea abies, Forest ecology, Scots pine
Papers published on a yearly basis
Papers
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University of Leeds1, National Institute of Amazonian Research2, Forestry Commission3, Wageningen University and Research Centre4, University of St Andrews5, James Cook University6, Indiana University7, Paul Sabatier University8, Forest Research Institute9, University of São Paulo10, University of Edinburgh11, University of Waterloo12, University of New Hampshire13, Hokkaido University14, Universiti Brunei Darussalam15, Forest Research Institute Malaysia16, United States Forest Service17, Oregon State University18, University of Twente19, Universidade do Estado de Mato Grosso20, University of York21, Commonwealth Scientific and Industrial Research Organisation22, National University of Colombia23, University of Cambridge24, University of Yaoundé I25
TL;DR: In this article, the authors developed a new global tropical forest database consisting of 39 955 concurrent H and D measurements encompassing 283 sites in 22 tropical countries, and used this database to determine if H:D relationships differ by geographic region and forest type (wet to dry forests, including zones of tension where forest and savanna overlap).
Abstract: . Tropical tree height-diameter (H:D) relationships may vary by forest type and region making large-scale estimates of above-ground biomass subject to bias if they ignore these differences in stem allometry. We have therefore developed a new global tropical forest database consisting of 39 955 concurrent H and D measurements encompassing 283 sites in 22 tropical countries. Utilising this database, our objectives were: 1. to determine if H:D relationships differ by geographic region and forest type (wet to dry forests, including zones of tension where forest and savanna overlap). 2. to ascertain if the H:D relationship is modulated by climate and/or forest structural characteristics (e.g. stand-level basal area, A). 3. to develop H:D allometric equations and evaluate biases to reduce error in future local-to-global estimates of tropical forest biomass. Annual precipitation coefficient of variation (PV), dry season length (SD), and mean annual air temperature (TA) emerged as key drivers of variation in H:D relationships at the pantropical and region scales. Vegetation structure also played a role with trees in forests of a high A being, on average, taller at any given D. After the effects of environment and forest structure are taken into account, two main regional groups can be identified. Forests in Asia, Africa and the Guyana Shield all have, on average, similar H:D relationships, but with trees in the forests of much of the Amazon Basin and tropical Australia typically being shorter at any given D than their counterparts elsewhere. The region-environment-structure model with the lowest Akaike's information criterion and lowest deviation estimated stand-level H across all plots to within amedian −2.7 to 0.9% of the true value. Some of the plot-to-plot variability in H:D relationships not accounted for by this model could be attributed to variations in soil physical conditions. Other things being equal, trees tend to be more slender in the absence of soil physical constraints, especially at smaller D. Pantropical and continental-level models provided less robust estimates of H, especially when the roles of climate and stand structure in modulating H:D allometry were not simultaneously taken into account.
462 citations
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TL;DR: The hypothesis that mast cells, a cell type capable of triggering matrix degradation, actively participate in the destabilization and ensuing rupture of coronary atheromas and thus may trigger an acute coronary event is supported.
Abstract: BACKGROUNDRupture in the shoulder region of a coronary atheroma is considered to be a sequel to local extracellular matrix degradation in this highly vulnerable site. Such degradation could be triggered by mast cells, which are filled with neutral proteases and are present in coronary atheromas. However, the distribution and phenotype of mast cells within coronary atheromas have not been studied.METHODS AND RESULTSSpecimens of normal and atherosclerotic human coronary intima from 32 autopsy cases with ages ranging from 13 to 67 years were stained with monoclonal antibodies against the two major proteases of mast cells, tryptase and chymase. Of the tryptase-containing mast cells, a variable proportion (average, 40%; range, 0% to 100%) also contained chymase. In the normal coronary intimas, mast cells amounted to 0.1% of all nucleated cells. In the fatty streaks, this proportion was higher by 9-fold, and in the cap, core, and shoulder regions of atheromas by 5-, 5-, and 10-fold, respectively. Electron and l...
457 citations
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TL;DR: It is shown that there was a gross loss of tropical forests in the 1990s and 2000s and that carbon loss rates did not change between the two last decades, reconciling recent low estimates of carbon emissions from tropical deforestation.
Abstract: We estimate changes in forest cover (deforestation and forest regrowth) in the tropics for the two last decades (1990–2000 and 2000–2010) based on a sample of 4000 units of 10 ×10 km size. Forest cover is interpreted from satellite imagery at 30 × 30 m resolution. Forest cover changes are then combined with pan-tropical biomass maps to estimate carbon losses. We show that there was a gross loss of tropical forests of 8.0 million ha yr−1 in the 1990s and 7.6 million ha yr−1 in the 2000s (0.49% annual rate), with no statistically significant difference. Humid forests account for 64% of the total forest cover in 2010 and 54% of the net forest loss during second study decade. Losses of forest cover and Other Wooded Land (OWL) cover result in estimates of carbon losses which are similar for 1990s and 2000s at 887 MtC yr−1 (range: 646–1238) and 880 MtC yr−1 (range: 602–1237) respectively, with humid regions contributing two-thirds. The estimates of forest area changes have small statistical standard errors due to large sample size. We also reduce uncertainties of previous estimates of carbon losses and removals. Our estimates of forest area change are significantly lower as compared to national survey data. We reconcile recent low estimates of carbon emissions from tropical deforestation for early 2000s and show that carbon loss rates did not change between the two last decades. Carbon losses from deforestation represent circa 10% of Carbon emissions from fossil fuel combustion and cement production during the last decade (2000–2010). Our estimates of annual removals of carbon from forest regrowth at 115 MtC yr−1 (range: 61–168) and 97 MtC yr−1 (53–141) for the 1990s and 2000s respectively are five to fifteen times lower than earlier published estimates.
453 citations
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TL;DR: In this paper, a consortium of 16 laboratories have studied chloroplast DNA (cpDNA) variation in European white oaks, including Quercus robur, petraea, pubescens, Q. frainetto, faginea, pyrenaica, and macranthera.
451 citations
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TL;DR: Recent developments in climate change observations and projections, observed and projected impacts on European forests and the associated uncertainties are reviewed and synthesised with a view to understanding the implications for forest management.
450 citations
Authors
Showing all 5332 results
Name | H-index | Papers | Citations |
---|---|---|---|
Kari Alitalo | 174 | 817 | 114231 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Glenn D. Prestwich | 88 | 690 | 42758 |
John K. Volkman | 78 | 212 | 21931 |
Petri T. Kovanen | 77 | 432 | 27171 |
Hailong Wang | 69 | 647 | 19652 |
Mika Ala-Korpela | 65 | 319 | 18048 |
Heikki Henttonen | 64 | 271 | 14536 |
Zhihong Xu | 57 | 438 | 11832 |
Kari Pulkki | 54 | 215 | 11166 |
Louis A. Schipper | 53 | 192 | 9224 |
Sang Young Lee | 53 | 271 | 9917 |
Young-Joon Ahn | 52 | 288 | 9121 |
Venkatesh Narayanamurti | 49 | 258 | 9399 |
Francis M. Kelliher | 49 | 124 | 8599 |