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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TL;DR: The Pasoh forest is more stable than BCI's in another way: few of its tree populations changed much over the eight-year census interval; the faster species turnover at BCI can probably be attributed to severe droughts that have plagued the forest periodically over the past 30 years; Pasoh has not suffered such extreme events recently.
Abstract: Dynamics of the Pasoh forest in Peninsular Malaysia were assessed by drawing a comparison with a forest in Panama, Central America, whose dynamics have been thoroughly described. Census plots of 50 ha were established at both sites using standard methods. Tree mortality at Pasoh over an eight-year interval was 1.46% yr(-1) for all stems > or = 10 mm diameter at breast height (dbh), and 1.48% yr(-1) for stems > or = 100 mm dbh. Comparable figures at the Barro Colorado Island site in Panama (BCI) were 2.55% and 2.03%. Growth and recruitment rates were likewise considerably higher at BCI than at Pasoh. For example, in all trees 500-700 mm in dbh, mean BCI growth over the period 1985-1995 was 6 mm yr(-1), whereas mean Pasoh growth was about 3.5 mm yr(-1). Examining growth and mortality rates for individual species showed that the difference between the forests can be attributed to a few light-demanding pioneer species at BCI, which have very high growth and mortality; Pasoh is essentially lacking this guild. The bulk of the species in the two forests are shade-tolerant and have very similar mortality, growth and recruitment. The Pasoh forest is more stable than BCI's in another way as well: few of its tree populations changed much over the eight-year census interval. In contrast, at BCI, over 10% of the species had populations increasing or decreasing at a rate of >0.05 yr(-1) compared to just 2% of the species at Pasoh). The faster species turnover at BCI can probably be attributed to severe droughts that have plagued the forest periodically over the past 30 years; Pasoh has not suffered such extreme events recently. The dearth of pioneer species at Pasoh is associated with low-nutrient soil and slow litter breakdown, but the exact mechanisms behind this association remain poorly understood.
220 citations
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TL;DR: Angiotensin-converting enzyme and chymase, two Ang II-forming enzymes, are locally expressed in aortic valves, and owing to infiltration of macrophages and MCs, are further upregulated in stenotic valves.
220 citations
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University of Leeds1, University of California, Los Angeles2, Vienna University of Technology3, University of Exeter4, Commonwealth Scientific and Industrial Research Organisation5, University of Illinois at Urbana–Champaign6, Forest Research Institute7, University of Bern8, Oeschger Centre for Climate Change Research9, National Center for Atmospheric Research10, Max Planck Society11, Chinese Academy of Sciences12, Auburn University13, Met Office14, Centre national de la recherche scientifique15, University of Arizona16, Northern Arizona University17
TL;DR: For many northern ecosystems the benefits of warmer springs on growing-season ecosystem productivity are effectively compensated for by the accumulation of seasonal water deficits, despite the fact that northern ecosystems are thought to be largely temperature- and radiation-limited.
Abstract: Climate change is shifting the phenological cycles of plants1, thereby altering the functioning of ecosystems, which in turn induces feedbacks to the climate system2. In northern (north of 30° N) ecosystems, warmer springs lead generally to an earlier onset of the growing season3,4 and increased ecosystem productivity early in the season5. In situ6 and regional7–9 studies also provide evidence for lagged effects of spring warmth on plant productivity during the subsequent summer and autumn. However, our current understanding of these lagged effects, including their direction (beneficial or adverse) and geographic distribution, is still very limited. Here we analyse satellite, field-based and modelled data for the period 1982–2011 and show that there are widespread and contrasting lagged productivity responses to spring warmth across northern ecosystems. On the basis of the observational data, we find that roughly 15 per cent of the total study area of about 41 million square kilometres exhibits adverse lagged effects and that roughly 5 per cent of the total study area exhibits beneficial lagged effects. By contrast, current-generation terrestrial carbon-cycle models predict much lower areal fractions of adverse lagged effects (ranging from 1 to 14 per cent) and much higher areal fractions of beneficial lagged effects (ranging from 9 to 54 per cent). We find that elevation and seasonal precipitation patterns largely dictate the geographic pattern and direction of the lagged effects. Inadequate consideration in current models of the effects of the seasonal build-up of water stress on seasonal vegetation growth may therefore be able to explain the differences that we found between our observation-constrained estimates and the model-constrained estimates of lagged effects associated with spring warming. Overall, our results suggest that for many northern ecosystems the benefits of warmer springs on growing-season ecosystem productivity are effectively compensated for by the accumulation of seasonal water deficits, despite the fact that northern ecosystems are thought to be largely temperature- and radiation-limited10.
218 citations
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TL;DR: In this article, the authors investigated the energy imbalance problem of single-tower measurements and the mechanism of the so-called energy imbalance through numerical experiments using large-eddy simulation (LES) for the daytime atmospheric boundary layer heated over a flat surface.
Abstract: The spatial representativeness of heat fluxes on the basis of single-tower measurements, and the mechanism of the so-called energy imbalance problem, are investigated through numerical experiments using large-eddy simulation (LES). LES experiments are done for the daytime atmospheric boundary layer heated over a flat surface, as a best-case scenario completely free of sensor errors and the uncertainties of field conditions. Imbalance is defined as the deviation of the `turbulent' heat flux at a grid point from the horizontally averaged `total' heat flux. Both the theoretical and numerical results of the present study suggest the limitation of single-tower measurements and the necessity of horizontally-distributed observation networks. The temporally averaged `turbulent' flux based on a point measurement systematically underestimates the `total' flux (negative imbalance). This is attributed to local advection effects caused by the existence of turbulent organized structures (TOS), whose time scale is much longer than that of thermal plumes. The temporal and spatial change of TOS patterns causes low-frequency trends in the velocity and temperature data resulting in large scatter of the flux estimates. The influences of geostrophic wind speed, averaging time, observation height, computational domain size and resolution on tower-measured fluxes are also discussed. Finally, it is suggested that a weak inhomogenity in surface heating may reduce the negative bias of flux estimates.
216 citations
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TL;DR: The coupling model, which correlated the local motions with global mobility, has been discussed in order to emphasize the potential impact of local mobility on amorphous phase stability and the Johari-Goldstein relaxations are highlighted.
215 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 |