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Your search keyword '"Schaepman, Michael E."' showing total 39 results
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39 results on '"Schaepman, Michael E."'

1. Remote Sensing‐Based Forest Modeling Reveals Positive Effects of Functional Diversity on Productivity at Local Spatial Scale

Author

Schneider, Fabian D, Longo, Marcos, Paul‐Limoges, Eugénie, Scholl, Victoria M, Schmid, Bernhard, Morsdorf, Felix, Pavlick, Ryan P, Schimel, David S, Schaepman, Michael E, and Moorcroft, Paul R

Subjects
Life on Land, biodiversity, ecosystem functioning, imaging spectroscopy, lidar, terrestrial biosphere modeling, functional diversity, Geophysics
Published
2023

2. The Spectral Species Concept in Living Color

Author

Rocchini, Duccio, Santos, Maria J, Ustin, Susan L, Féret, Jean‐Baptiste, Asner, Gregory P, Beierkuhnlein, Carl, Dalponte, Michele, Feilhauer, Hannes, Foody, Giles M, Geller, Gary N, Gillespie, Thomas W, He, Kate S, Kleijn, David, Leitão, Pedro J, Malavasi, Marco, Moudrý, Vítězslav, Müllerová, Jana, Nagendra, Harini, Normand, Signe, Ricotta, Carlo, Schaepman, Michael E, Schmidtlein, Sebastian, Skidmore, Andrew K, Šímová, Petra, Torresani, Michele, Townsend, Philip A, Turner, Woody, Vihervaara, Petteri, Wegmann, Martin, and Lenoir, Jonathan

Subjects
Life Below Water, airborne sensors, biodiversity, ecoinformatics, hyperspectral images, plant optical types, remote sensing, satellite imagery, vegetation communities, Geophysics
Abstract

Biodiversity monitoring is an almost inconceivable challenge at the scale of the entire Earth. The current (and soon to be flown) generation of spaceborne and airborne optical sensors (i.e., imaging spectrometers) can collect detailed information at unprecedented spatial, temporal, and spectral resolutions. These new data streams are preceded by a revolution in modeling and analytics that can utilize the richness of these datasets to measure a wide range of plant traits, community composition, and ecosystem functions. At the heart of this framework for monitoring plant biodiversity is the idea of remotely identifying species by making use of the 'spectral species' concept. In theory, the spectral species concept can be defined as a species characterized by a unique spectral signature and thus remotely detectable within pixel units of a spectral image. In reality, depending on spatial resolution, pixels may contain several species which renders species-specific assignment of spectral information more challenging. The aim of this paper is to review the spectral species concept and relate it to underlying ecological principles, while also discussing the complexities, challenges and opportunities to apply this concept given current and future scientific advances in remote sensing.

Published
2022

11. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation

Author

Joswig, Julia S., Wirth, Christian, Schuman, Meredith C., Kattge, Jens, Reu, Björn, Wright, Ian J., Sippel, Sebastian D., Rüger, Nadja, Richter, Ronny, Schaepman, Michael E., van Bodegom, Peter M., Cornelissen, J. H. C., Díaz, Sandra, Hattingh, Wesley N., Kramer, Koen, Lens, Frederic, Niinemets, Ülo, Reich, Peter B., Reichstein, Markus, Römermann, Christine, Schrodt, Franziska, Anand, Madhur, Bahn, Michael, Byun, Chaeho, Campetella, Giandiego, Cerabolini, Bruno E. L., Craine, Joseph M., Gonzalez-Melo, Andres, Gutiérrez, Alvaro G., He, Tianhua, Higuchi, Pedro, Jactel, Hervé, Kraft, Nathan J. B., Minden, Vanessa, Onipchenko, Vladimir, Peñuelas, Josep, Pillar, Valério D., Sosinski, Ênio, Soudzilovskaia, Nadejda A., Weiher, Evan, and Mahecha, Miguel D.

Published
2022
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16. Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3)

Author

Schaepman, Michael E, Mouroulis, Pantazis, Geier, Sven, Shaw, Lucas, Hueini, Andreas, Bernas, Michael, Smith, Christopher, Wehbe, Rami, Eastwood, Michael, Vinckier, Quentin, Liggett, Elliott, Zandbergen, Sander, Thompson, David, Sullivan, Peter, Van Gorp, Byron, and Helmlinger, Mark

Published
2022

17. Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3)

Author

Helmlinger, Mark, Van Gorp, Byron, Sullivan, Peter, Thompson, David, Zandbergen, Sander, Liggett, Elliott, Vinckier, Quentin, Eastwood, Michael, Wehbe, Rami, Smith, Christopher, Bernas, Michael, Hueini, Andreas, Shaw, Lucas, Geier, Sven, Mouroulis, Pantazis, and Schaepman, Michael E

Abstract

Green, Robert O.

Published
2022

18. Diversity–functioning relationships across hierarchies of biological organization.

Author

Mayor, Sarah, Allan, Eric, Altermatt, Florian, Isbell, Forest, Schaepman, Michael E., Schmid, Bernhard, and Niklaus, Pascal A.

Subjects
BIOLOGICAL variation, ECOSYSTEMS, SPECIES diversity, PLANT productivity, PLANT communities, ORGANIZATION
Abstract

Numerous biodiversity–ecosystem functioning (BEF) experiments have shown that plant community productivity typically increases with species diversity. In these studies, diversity is generally quantified using metrics of taxonomic, phylogenetic, or functional differences among community members. Research has also shown that the relationships between species diversity and functioning depends on the spatial scale considered, primarily because larger areas may contain different ecosystem types and span gradients in environmental conditions, which result in a turnover of the species set present locally. A fact that has received little attention, however, is that ecological systems are hierarchically structured, from genes to individuals to communities to entire landscapes, and that additional biological variation occurs at levels of organization above and below those typically considered in BEF research. Here, we present cases of diversity effects at different hierarchical levels of organization and compare these to the species‐diversity effects traditionally studied. We argue that when this evidence is combined across levels, a general framework emerges that allows the transfer of insights and concepts between traditionally disparate disciplines. Such a framework presents an important step towards a better understanding of the functional importance of diversity in complex, real‐world systems. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Author Correction: Priority list of biodiversity metrics to observe from space

Author

Skidmore, Andrew K., Coops, Nicholas C., Neinavaz, Elnaz, Ali, Abebe, Schaepman, Michael E., Paganini, Marc, Kissling, W. Daniel, Vihervaara, Petteri, Darvishzadeh, Roshanak, Feilhauer, Hannes, Fernandez, Miguel, Fernández, Néstor, Gorelick, Noel, Geijzendorffer, Ilse, Heiden, Uta, Heurich, Marco, Hobern, Donald, Holzwarth, Stefanie, Muller-Karger, Frank E., Van De Kerchove, Ruben, Lausch, Angela, Leitão, Pedro J., Lock, Marcelle C., Mücher, Caspar A., O’Connor, Brian, Rocchini, Duccio, Roeoesli, Claudia, Turner, Woody, Vis, Jan Kees, Wang, Tiejun, Wegmann, Martin, and Wingate, Vladimir

Published
2021
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23. Imputing missing data in plant traits: A guide to improve gap-filling

Author

Joswig, Julia S, Kattge, Jens, Kraemer, Guido, Mahecha, Miguel D, Rüger, Nadja, Schaepman, Michael E, Schrodt, Franziska, Schuman, Meredith Christine, University of Zurich, and Joswig, Julia S

Subjects
10120 Department of Chemistry, Global and Planetary Change, 10122 Institute of Geography, 1105 Ecology, Evolution, Behavior and Systematics, Ecology, Behavior and Systematics, UFSP13-8 Global Change and Biodiversity, Evolution, 2306 Global and Planetary Change, 910 Geography & travel, 2303 Ecology, Ecology, Evolution, Behavior and Systematics
Published
2023

25. Genetic constraints on temporal variation of airborne reflectance spectra and their uncertainties over a temperate forest

Author

Czyz, Ewa A, Schmid, Bernhard, Hueni, Andreas, Eppinga, Maarten B, Schuman, Meredith Christine, Schneider, Fabian D, Guillén-Escribà, Carla, Schaepman, Michael E, University of Zurich, and Czyz, Ewa A

Subjects
10120 Department of Chemistry, 10122 Institute of Geography, UFSP13-8 Global Change and Biodiversity, 1903 Computers in Earth Sciences, Soil Science, Geology, 910 Geography & travel, Computers in Earth Sciences, 1111 Soil Science, 1907 Geology
Published
2023
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28. Impact of Beam Diameter and Scanning Approach on Point Cloud Quality of Terrestrial Laser Scanning in Forests

Author

Abegg, Meinrad, Boesch, Ruedi, Schaepman, Michael E, Morsdorf, Felix, University of Zurich, and Abegg, Meinrad

Subjects
Beam diameter, Laser scanning, UFSP13-8 Global Change and Biodiversity, business.industry, Computer science, 2208 Electrical and Electronic Engineering, 1900 General Earth and Planetary Sciences, Feature extraction, Point cloud, Context (language use), Signal, 10122 Institute of Geography, Software, General Earth and Planetary Sciences, 910 Geography & travel, Electrical and Electronic Engineering, business, Representation (mathematics), Remote sensing
Abstract

In recent years, portable laser scanning devices and their applications in the context of forest mensuration have undergone rapid methodological and technological developments. Devices have become smaller, lighter, and more affordable, whereas new data-driven methods and software packages have facilitated the derivation of information from point clouds. Thus, terrestrial laser scanning (TLS) is now well established, and laser–object interactions have been studied using theoretical, modeling, and experimental approaches. The representation of scanned objects in terms of accuracy and completeness is a key factor for successful feature extraction. Still, little is known about the influence of TLS and survey properties on point clouds in complex scattering environments, such as forests. In this study, we investigate the influence of laser beam diameter and signal triggering on the quality of point clouds in forested environments. Based on the Swiss National Forest Inventory data, we simulate the TLS measurements in 684 virtual forest stands using a 3-D content creation suite. We show that small objects lack sufficient representation in the point cloud and they are further negatively influenced by large laser beam diameters, dense stands, and large distances from the scanning device. We provide simulations that make it possible to derive a rationale for decisions regarding the appropriate choice of TLS device and survey configuration for forest inventories.

Published
2021

30. Spatial resolution, spectral metrics and biomass are key aspects in estimating plant species richness from spectral diversity in species‐rich grasslands

Author

Rossi, Christian, Kneubühler, Mathias, Schütz, Martin, Schaepman, Michael E, Haller, Rudolf M, Risch, Anita C, University of Zurich, Disney, Mat, and He, Kate

Subjects
10122 Institute of Geography, Ecology, Behavior and Systematics, UFSP13-8 Global Change and Biodiversity, Evolution, 910 Geography & travel, Computers in Earth Sciences, Nature and Landscape Conservation
Published
2022

31. Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics

Author

Lausch, Angela, primary, Schaepman, Michael E., additional, Skidmore, Andrew K., additional, Catana, Eusebiu, additional, Bannehr, Lutz, additional, Bastian, Olaf, additional, Borg, Erik, additional, Bumberger, Jan, additional, Dietrich, Peter, additional, Glässer, Cornelia, additional, Hacker, Jorg M., additional, Höfer, Rene, additional, Jagdhuber, Thomas, additional, Jany, Sven, additional, Jung, András, additional, Karnieli, Arnon, additional, Klenke, Reinhard, additional, Kirsten, Toralf, additional, Ködel, Uta, additional, Kresse, Wolfgang, additional, Mallast, Ulf, additional, Montzka, Carsten, additional, Möller, Markus, additional, Mollenhauer, Hannes, additional, Pause, Marion, additional, Rahman, Minhaz, additional, Schrodt, Franziska, additional, Schmullius, Christiane, additional, Schütze, Claudia, additional, Selsam, Peter, additional, Syrbe, Ralf-Uwe, additional, Truckenbrodt, Sina, additional, Vohland, Michael, additional, Volk, Martin, additional, Wellmann, Thilo, additional, Zacharias, Steffen, additional, and Baatz, Roland, additional

Published
2022
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33. Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3)

Author

Green, Robert O., primary, Schaepman, Michael E., additional, Mouroulis, Pantazis, additional, Geier, Sven, additional, Shaw, Lucas, additional, Hueini, Andreas, additional, Bernas, Michael, additional, McKinley, Ian, additional, Smith, Christopher, additional, Wehbe, Rami, additional, Eastwood, Michael, additional, Vinckier, Quentin, additional, Liggett, Elliott, additional, Zandbergen, Sander, additional, Thompson, David, additional, Sullivan, Peter, additional, Sarture, Charles, additional, Van Gorp, Byron, additional, and Helmlinger, Mark, additional

Published
2022
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35. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation

Author

Joswig, Julia S., primary, Wirth, Christian, additional, Schuman, Meredith C., additional, Kattge, Jens, additional, Reu, Björn, additional, Wright, Ian J., additional, Sippel, Sebastian D., additional, Rüger, Nadja, additional, Richter, Ronny, additional, Schaepman, Michael E., additional, van Bodegom, Peter M., additional, Cornelissen, J. H. C., additional, Díaz, Sandra, additional, Hattingh, Wesley N., additional, Kramer, Koen, additional, Lens, Frederic, additional, Niinemets, Ülo, additional, Reich, Peter B., additional, Reichstein, Markus, additional, Römermann, Christine, additional, Schrodt, Franziska, additional, Anand, Madhur, additional, Bahn, Michael, additional, Byun, Chaeho, additional, Campetella, Giandiego, additional, Cerabolini, Bruno E. L., additional, Craine, Joseph M., additional, Gonzalez-Melo, Andres, additional, Gutiérrez, Alvaro G., additional, He, Tianhua, additional, Higuchi, Pedro, additional, Jactel, Hervé, additional, Kraft, Nathan J. B., additional, Minden, Vanessa, additional, Onipchenko, Vladimir, additional, Peñuelas, Josep, additional, Pillar, Valério D., additional, Sosinski, Ênio, additional, Soudzilovskaia, Nadejda A., additional, Weiher, Evan, additional, and Mahecha, Miguel D., additional

Published
2021
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39. Remote Sensing‐Based Forest Modeling Reveals Positive Effects of Functional Diversity on Productivity at Local Spatial Scale

Author

Schneider, Fabian D., Longo, Marcos, Paul‐Limoges, Eugénie, Scholl, Victoria M., Schmid, Bernhard, Morsdorf, Felix, Pavlick, Ryan P., Schimel, David S., Schaepman, Michael E., and Moorcroft, Paul R.

Abstract

Forest biodiversity is critical for many ecosystem functions and services. Yet, it remains uncertain how plant functional diversity influences ecosystem functioning across environmental gradients and contiguous larger areas. We integrated remote sensing and terrestrial biosphere modeling to explore functional diversity–productivity relationships at multiple spatial scales for a heterogeneous forest ecosystem in Switzerland. We initialized forest structure and composition in the ecosystem demography model (ED2) through a combination of ground‐based surveys, airborne laser scanning and imaging spectroscopy for forest patches at 10 × 10‐m spatial grain. We derived morphological and physiological forest traits and productivity from model simulations at patch‐level to relate morphological and physiological aspects of functional diversity to the average productivity from 2006 to 2015 at 20 × 20 to 100 × 100‐m spatial extent. We did this for model simulations under observed and experimental conditions (mono‐soils, mono‐cultures and mono‐structures). Functional diversity increased productivity significantly (p< 0.001) across all simulations at 20 × 20 to 30 × 30 m scale, but at 100 × 100‐m scale positive relationships disappeared under homogeneous soil conditions potentially due to the low beta diversity of this forest and the saturation of functional richness represented in the model. Although local functional diversity was an important driver of productivity, environmental context underpinned the variation of productivity (and functional diversity) at larger spatial scales. In this study, we could show that the integration of remotely sensed information on forest composition and structure into terrestrial biosphere models is important to fill knowledge gaps about how plant biodiversity affects carbon cycling and biosphere feedbacks onto climate over large contiguous areas. We explored relationships between forest biodiversity and productivity at multiple spatial scales to better understand how plant traits and their diversity influence the functioning of forest ecosystems. To do this across large contiguous areas, we simulated a temperate mixed forest by combining process‐based terrestrial biosphere modeling with remotely sensed information about forest structure and composition. We found that higher functional diversity was associated with higher productivity at local spatial scale (tens of meters), while soil depth and texture were the main drivers of productivity at the hectare scale. At this larger scale, functional diversity tended to be saturated due to the low turnover of species and functional traits of the temperate mixed forest and the limited representation of physiological diversity in the model. We explored forest functional diversity—productivity relationships using a terrestrial biosphere model initialized with remote sensingHigher functional diversity at 20 × 20 to 30 × 30 m scale was associated with higher productivity (p< 0.001) across all simulationsSoil depth and texture were the main drivers of productivity at the hectare scale, while functional diversity saturated at coarser scales We explored forest functional diversity—productivity relationships using a terrestrial biosphere model initialized with remote sensing Higher functional diversity at 20 × 20 to 30 × 30 m scale was associated with higher productivity (p< 0.001) across all simulations Soil depth and texture were the main drivers of productivity at the hectare scale, while functional diversity saturated at coarser scales

Published
2023
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