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 Würzburg1, Bavarian Forest National Park2, University of Marburg3, University of Northern British Columbia4, Oregon State University5, University of Granada6, Seoul National University7, University of Washington8, Museum and Institute of Zoology9, Murdoch University10, Natural Resources Canada11, University of Zurich12, University of Montana13, University of Alcalá14, Australian National University15, Swiss Federal Institute for Forest, Snow and Landscape Research16, University of Girona17, University of Vic18, Technische Universität München19, University of Natural Resources and Life Sciences, Vienna20, Laval University21, Forest Research Institute22, Swedish University of Agricultural Sciences23
TL;DR: The results suggest that salvage logging is not consistent with the management objectives of protected areas, and substantial changes, such as the retention of dead wood in naturally disturbed forests, are needed to support biodiversity.
Abstract: Logging to "salvage" economic returns from forests affected by natural disturbances has become increasingly prevalent globally Despite potential negative effects on biodiversity, salvage logging is often conducted, even in areas otherwise excluded from logging and reserved for nature conservation, inter alia because strategic priorities for post-disturbance management are widely lackingA review of the existing literature revealed that most studies investigating the effects of salvage logging on biodiversity have been conducted less than 5 years following natural disturbances, and focused on non-saproxylic organismsA meta-analysis across 24 species groups revealed that salvage logging significantly decreases numbers of species of eight taxonomic groups Richness of dead wood dependent taxa (ie saproxylic organisms) decreased more strongly than richness of non-saproxylic taxa In contrast, taxonomic groups typically associated with open habitats increased in the number of species after salvage loggingBy analysing 134 original species abundance matrices, we demonstrate that salvage logging significantly alters community composition in 7 of 17 species groups, particularly affecting saproxylic assemblagesSynthesis and applications Our results suggest that salvage logging is not consistent with the management objectives of protected areas Substantial changes, such as the retention of dead wood in naturally disturbed forests, are needed to support biodiversity Future research should investigate the amount and spatio-temporal distribution of retained dead wood needed to maintain all components of biodiversity
252 citations
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TL;DR: Variation in biochemical parameters like chlorophyll, protein, soluble sugar free amino acid, ascorbic acid, nitrate reductase, superoxide dismutase and peroxidase in the leaves were found to be pollution load dependent.
Abstract: In the present study species like Mangifera indica, Linn., Cassia fistula, Linn., and Eucalyptus hybrid were exposed to different air pollution load for short duration (active biomonitoring). Variation in biochemical parameters like chlorophyll, protein, soluble sugar free amino acid, ascorbic acid, nitrate reductase, superoxide dismutase and peroxidase in the leaves were found to be pollution load dependent. These variations can be used as indicators of air pollution for early diagnosis of stress or as a marker for physiological damage to trees prior to the onset of visible injury symptoms. Just by analyzing these biochemical indicators air quality can also be assessed.
251 citations
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Masaryk University1, Wageningen University and Research Centre2, University of Bayreuth3, University of Greifswald4, University of Belgrade5, Düzce University6, Bulgarian Academy of Sciences7, University of Graz8, University of Göttingen9, University of the Basque Country10, Slovenian Academy of Sciences and Arts11, University of Pécs12, Research Institute for Nature and Forest13, University of Patras14, Aarhus University15, Russian Academy of Sciences16, Carlos III Health Institute17, University of Barcelona18, Complutense University of Madrid19, University of Palermo20, Ministry of Interior (Bahrain)21, Transilvania University of Brașov22, Celal Bayar University23, Martin Luther University of Halle-Wittenberg24, University of Wrocław25, Forest Research Institute26, Taras Shevchenko National University of Kyiv27, University of Novi Sad28, University of Zagreb29, University of Picardie Jules Verne30, National Research Council31, Kazan Federal University32, Babeș-Bolyai University33, University of Latvia34, Slovak Academy of Sciences35, Aristotle University of Thessaloniki36, University of Perugia37, University of Oulu38
TL;DR: The European Vegetation Archive (EVA) as mentioned in this paper is a database of European vegetation plots developed by the IAVS Working Group Europe Vegetation Survey (WGSVSS) since 2012 and made available for use in research projects in 2014.
Abstract: The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation- plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.
250 citations
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01 Jan 1988TL;DR: The spruce bark beetle, Ips typographus Linnaeus (Coleoptera: Scolytidae), is the most destructive scolytid in the coniferous forests of the palaearctic region.
Abstract: The spruce bark beetle, Ips typographus Linnaeus (Coleoptera: Scolytidae), is the most destructive scolytid in the coniferous forests of the palaearctic region. In Europe, outbreaks may lead to the destruction of millions of Norway spruces [Picea abies (Linnaeus) Karsten], its principal host tree. In Northeastern Asia a subspecies, Ips typographus Linnaeus f. japonicus Niijima, may cause severe damage to spruces in the group P. jezoensis (Siebold and Zuccarini) Carriere sensu lato.
249 citations
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University of Cambridge1, University of Toronto2, Paul Sabatier University3, Institut Français4, Institut de recherche pour le développement5, Wageningen University and Research Centre6, Queen's University7, University of Otago8, Landcare Research9, University of Wisconsin-Madison10, University of British Columbia11, University of Yaoundé I12, Forest Research Institute13, Schiller International University14, Princeton University15, Russian Academy of Sciences16, University of Regina17, Leipzig University18, Ontario Ministry of Natural Resources19, Central South University Forestry and Technology20
TL;DR: A global database of 108753 trees for which stem diameter, height and crown diameter have all been measured is compiled and it is found that a single equation predicts stem diameter from these two variables across the world's forests.
Abstract: Remote sensing is revolutionizing the way we study forests, and recent technological advances mean we are now able - for the first time - to identify and measure the crown dimensions of individual trees from airborne imagery. Yet to make full use of these data for quantifying forest carbon stocks and dynamics, a new generation of allometric tools which have tree height and crown size at their centre are needed. Here, we compile a global database of 108753 trees for which stem diameter, height and crown diameter have all been measured, including 2395 trees harvested to measure aboveground biomass. Using this database, we develop general allometric models for estimating both the diameter and aboveground biomass of trees from attributes which can be remotely sensed - specifically height and crown diameter. We show that tree height and crown diameter jointly quantify the aboveground biomass of individual trees and find that a single equation predicts stem diameter from these two variables across the world's forests. These new allometric models provide an intuitive way of integrating remote sensing imagery into large-scale forest monitoring programmes and will be of key importance for parameterizing the next generation of dynamic vegetation models.
248 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 |