| Autor: |
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, Lenoir, Jonathan |
| Zdroj: |
Journal of Geophysical Research - Biogeosciences; September 2022, Vol. 127 Issue: 9 |
| Abstrakt: |
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. Biodiversity monitoring based on field data is almost inconceivable at the scale of the entire Earth. Over the past decades, remote sensing has opened possibilities for Earth observation from air and space, allowing us to monitor ecological change, primarily expressed by changes in vegetation cover, distribution, and functioning, which can be subsequently linked to drivers of change in space and time, from local to global scale. Recently, the spectral species concept—an algorithm that clusterizes pixels from spectral images having a similar spectral signal (referred to as ‘spectral species’)—has brought attention. The aim of this paper is to review the ecological functioning principles of the spectral species concept and to refine its definition by a better linkage with field observations of plant species distribution data (i.e., presence‐absence data) available from vegetation surveys. Remote sensing has opened possibilities for Earth observation from air and space, allowing us to monitor ecological changeBiodiversity monitoring based on field data is almost inconceivable at the scale of the entire EarthThe spectral species concept, relating field to remotely sensed data, can open new ways to measure diversity from space Remote sensing has opened possibilities for Earth observation from air and space, allowing us to monitor ecological change Biodiversity monitoring based on field data is almost inconceivable at the scale of the entire Earth The spectral species concept, relating field to remotely sensed data, can open new ways to measure diversity from space |
| Databáze: |
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