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 use of genomic technologies and interdisciplinary research approaches in investigating the biocontrol potential of specific bacterial endophytes can deepen the knowledge of their mode of action and its regulatory backgrounds which may lead to more predictable and consistent beneficial effects from these microorganisms.
152 citations
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TL;DR: In this article, the authors used tree inventory data from 28 lowland tropical dipterocarp rain forest locations throughout Borneo to identify floristic regions in the lowland (below 500 m a.s.a.l.) tropical diptersphere rain forest based on tree genera, determine the characteristic taxa of these regions, study tree diversity patterns within Borneia, and relate the floristics and diversity patterns to abiotic factors such as mean annual rainfall and geographical distance between plots.
Abstract: Aim To (1) identify floristic regions in the lowland (below 500 m a.s.l.) tropical dipterocarp rain forest of Borneo based on tree genera, (2) determine the characteristic taxa of these regions, (3) study tree diversity patterns within Borneo, and (4) relate the floristic and diversity patterns to abiotic factors such as mean annual rainfall and geographical distance between plots. Location Lowland tropical dipterocarp rain forest of Borneo. Methods We used tree (diameter at breast height ‡ 9.8 cm) inventory data from 28 lowland dipterocarp rain forest locations throughout Borneo. From each location six samples of 640 individuals were drawn randomly. With these data we calculated a Sorensen and Steinhaus similarity matrix for the locations. These matrices were then used in an UPGMA clustering algorithm to determine the floristic relations between the locations (dendrogram). Principal coordinate analysis was used to ordinate the locations. Characteristic taxa for the identified floristic clusters were determined with the use of the INDVAL method of Dufrene & Legendre (1997). Finally, Mantel analysis was applied to determine the influence of mean annual rainfall and geographical distance between plots on floristic composition.
152 citations
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TL;DR: In this paper, the changes on the surface of the weathered samples were characterized by roughness and color measurements on the samples with 0, 200, 400 and 600h of total weathering.
151 citations
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Swiss Federal Institute for Forest, Snow and Landscape Research1, Norwegian Forest and Landscape Institute2, Research Institute for Nature and Forest3, Forest Research Institute4, University of Kiel5, Finnish Forest Research Institute6, Environment Agency7, University of Tartu8, Energy Research Centre of the Netherlands9, University of Copenhagen10, Université catholique de Louvain11, Trent University12
TL;DR: In this article, the authors compared linear regression and Mann-Kendall trend analysis techniques often used to detect temporal trends in atmospheric deposition and found that the choice of method influenced the number of significant trends, and the slope of a trend needed to exceed a certain minimum in order to be detected despite the short-term variability of deposition.
151 citations
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TL;DR: In this paper, an attempt is made to derive information on causative parameters and preparation of landslide-susceptible map using fuzzy data integration in one of the seismically active region of Garhwal Himalaya that was recently devastated by a huge landslide.
Abstract: Landslides in Himalaya cause widespread damage in terms of property and human lives. It the present study, an attempt is made to derive information on causative parameters and preparation of landslide-susceptible map using fuzzy data integration in one of the seismically active region of Garhwal Himalaya that was recently devastated by a huge landslide. High-resolution remotely sensed data products acquired from Indian Remote Sensing Satellite before and after the landslide event were processed to improve interpretability and derivation of causative parameters. Spatial data sets such as lithology, rock weathering, geomorphology, lineaments, drainage, land use, anthropogenic factor, soil type and depth, slope gradient, and slope aspect were integrated using fuzzy gamma operator. The final map was reclassified in to five classes such as highly to lowly susceptible classes based on cumulative cutoff. The result shows around 72% of known landslide areas including the large Uttarkashi landslide in the high and very high susceptibility classes comprising of only 37% of the total area. The precipitation data from ground- and satellite-based observations were compared; the precipitation threshold and the role of seismic activity were analyzed for initiation of landslide.
151 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 |