The Experts below are selected from a list of 49767 Experts worldwide ranked by ideXlab platform
Space Flight - One of the best experts on this subject based on the ideXlab platform.
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Lidar remote sensing of above-Ground Biomass in three biomes
Environmental Research, 2002Co-Authors: Michael A. Lefsky, Forest Service, Nasa Goddard, S W Jefferson Way, Steven A. Acker, Stith T Gower, Warren B Cohen, Geoffrey G Parker, David J. Harding, Space FlightAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
Michael A. Lefsky - One of the best experts on this subject based on the ideXlab platform.
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Lidar remote sensing of above‐Ground Biomass in three biomes
Global Ecology and Biogeography, 2002Co-Authors: Michael A. Lefsky, Steven A. Acker, Warren B Cohen, Geoffrey G Parker, David J. Harding, Stith T GowerAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
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Lidar remote sensing of above-Ground Biomass in three biomes
Environmental Research, 2002Co-Authors: Michael A. Lefsky, Forest Service, Nasa Goddard, S W Jefferson Way, Steven A. Acker, Stith T Gower, Warren B Cohen, Geoffrey G Parker, David J. Harding, Space FlightAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
Amy E. Dunham - One of the best experts on this subject based on the ideXlab platform.
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edge effects on components of diversity and above Ground Biomass in a tropical rainforest
Journal of Applied Ecology, 2018Co-Authors: Onja H. Razafindratsima, Kerry A. Brown, Fabio Carvalho, Steig E. Johnson, Patricia C. Wright, Amy E. DunhamAbstract:Edge effects are among the most significant consequences of forest fragmentation. Therefore, understanding the impacts of edge creation on biodiversity is crucial for forest management and biological conservation. In this study, we used trait‐based and phylogenetic approaches to examine the effects of fragmentation on components of diversity and above‐Ground Biomass of rainforest tree communities in Madagascar in forest edge vs. interior habitats. Tree communities in forest edges showed lower phylogenetic diversity relative to those in interior habitats, suggesting that some clades may be more vulnerable to environmental filtering than others. Functional diversity was also significantly lower on the edge for productivity traits, but not for dispersal traits. Tree communities in the forest edge showed higher divergence of dispersal traits and lower divergence in productivity traits than expected, while functional diversity in interior forest did not differ from random expectations. This suggests that separate mechanisms affect productivity traits vs. dispersal traits in edge habitats. There was no significant difference in above‐Ground Biomass between edge and interior habitats, suggesting that edge effects have not yet negatively influenced the forest's potential for carbon storage. However, these changes may not have occurred yet, given the slow turnover of tree communities. Synthesis and applications. Our results highlight the role of edge effects in the erosion of functional and phylogenetic diversity of highly diverse tree communities. While above‐Ground Biomass did not appear to be affected by forest edge in our study, we suggest long‐term monitoring of forests for potential changes in ecosystem functioning. These findings also indicate the need to reduce edge creation and buffer existing edges for holistic biodiversity conservation.
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Edge effects on components of diversity and above‐Ground Biomass in a tropical rainforest
Journal of Applied Ecology, 2017Co-Authors: Onja H. Razafindratsima, Kerry A. Brown, Fabio Carvalho, Steig E. Johnson, Patricia C. Wright, Amy E. DunhamAbstract:Edge effects are among the most significant consequences of forest fragmentation. Therefore, understanding the impacts of edge creation on biodiversity is crucial for forest management and biological conservation. In this study, we used trait‐based and phylogenetic approaches to examine the effects of fragmentation on components of diversity and above‐Ground Biomass of rainforest tree communities in Madagascar in forest edge vs. interior habitats. Tree communities in forest edges showed lower phylogenetic diversity relative to those in interior habitats, suggesting that some clades may be more vulnerable to environmental filtering than others. Functional diversity was also significantly lower on the edge for productivity traits, but not for dispersal traits. Tree communities in the forest edge showed higher divergence of dispersal traits and lower divergence in productivity traits than expected, while functional diversity in interior forest did not differ from random expectations. This suggests that separate mechanisms affect productivity traits vs. dispersal traits in edge habitats. There was no significant difference in above‐Ground Biomass between edge and interior habitats, suggesting that edge effects have not yet negatively influenced the forest's potential for carbon storage. However, these changes may not have occurred yet, given the slow turnover of tree communities. Synthesis and applications. Our results highlight the role of edge effects in the erosion of functional and phylogenetic diversity of highly diverse tree communities. While above‐Ground Biomass did not appear to be affected by forest edge in our study, we suggest long‐term monitoring of forests for potential changes in ecosystem functioning. These findings also indicate the need to reduce edge creation and buffer existing edges for holistic biodiversity conservation.
Stith T Gower - One of the best experts on this subject based on the ideXlab platform.
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Lidar remote sensing of above‐Ground Biomass in three biomes
Global Ecology and Biogeography, 2002Co-Authors: Michael A. Lefsky, Steven A. Acker, Warren B Cohen, Geoffrey G Parker, David J. Harding, Stith T GowerAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
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Lidar remote sensing of above-Ground Biomass in three biomes
Environmental Research, 2002Co-Authors: Michael A. Lefsky, Forest Service, Nasa Goddard, S W Jefferson Way, Steven A. Acker, Stith T Gower, Warren B Cohen, Geoffrey G Parker, David J. Harding, Space FlightAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
Steven A. Acker - One of the best experts on this subject based on the ideXlab platform.
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Lidar remote sensing of above‐Ground Biomass in three biomes
Global Ecology and Biogeography, 2002Co-Authors: Michael A. Lefsky, Steven A. Acker, Warren B Cohen, Geoffrey G Parker, David J. Harding, Stith T GowerAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
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Lidar remote sensing of above-Ground Biomass in three biomes
Environmental Research, 2002Co-Authors: Michael A. Lefsky, Forest Service, Nasa Goddard, S W Jefferson Way, Steven A. Acker, Stith T Gower, Warren B Cohen, Geoffrey G Parker, David J. Harding, Space FlightAbstract:Estimation of the amount of carbon stored in forests is a key challenge for understanding the global carbon cycle, one which remote sensing is expected to help address. However, estimation of carbon storage in moderate to high Biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection and ranging) instruments measure the vertical structure of forests and thus hold great promise for remotely sensing the quantity and spatial organization of forest Biomass. In this study, we compare the relationships between lidar-measured canopy structure and coincident field measurements of above-Ground Biomass at sites in the temperate deciduous, temperate coniferous, and boreal coniferous biomes. A single regression for all three sites is compared with equations derived for each site individually. The single equation explains 84% of variance in above-Ground Biomass (P < 0.0001) and shows no statistically significant bias in its predictions for any individual site.
