Academic Journal
Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach
| العنوان: | Grassland vertical height heterogeneity predicts flower and bee diversity: an UAV photogrammetric approach |
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| المؤلفون: | Torresani, Michele, Rocchini, Duccio, Ceola, Giada, de Vries, Jan Peter Reinier, Feilhauer, Hannes, Moudrý, Vítězslav, Bartholomeus, Harm, Perrone, Michela, Anderle, Matteo, Gamper, Hannes Andres, Chieffallo, Ludovico, Guatelli, Enrico, Gatti, Roberto Cazzolla, Kleijn, David |
| المساهمون: | Torresani, Michele, Rocchini, Duccio, Ceola, Giada, de Vries, Jan Peter Reinier, Feilhauer, Hanne, Moudrý, Vítězslav, Bartholomeus, Harm, Perrone, Michela, Anderle, Matteo, Gamper, Hannes Andre, Chieffallo, Ludovico, Guatelli, Enrico, Gatti, Roberto Cazzolla, Kleijn, David |
| سنة النشر: | 2024 |
| المجموعة: | IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
| مصطلحات موضوعية: | biodiversity, drones, remote sensing |
| الوصف: | The ecosystem services offered by pollinators are vital for supporting agriculture and ecosystem functioning, with bees standing out as especially valuable contributors among these insects. Threats such as habitat fragmentation, intensive agriculture, and climate change are contributing to the decline of natural bee populations. Remote sensing could be a useful tool to identify sites of high diversity before investing into more expensive field survey. In this study, the ability of Unoccupied Aerial Vehicles (UAV) images to estimate biodiversity at a local scale has been assessed while testing the concept of the Height Variation Hypothesis (HVH). This hypothesis states that the higher the vegetation height heterogeneity (HH) measured by remote sensing information, the higher the vegetation vertical complexity and the associated species diversity. In this study, the concept has been further developed to understand if vegetation HH can also be considered a proxy for bee diversity and abundance. We tested this approach in 30 grasslands in the South of the Netherlands, where an intensive field data campaign (collection of flower and bee diversity and abundance) was carried out in 2021, along with a UAV campaign (collection of true color-RGB-images at high spatial resolution). Canopy Height Models (CHM) of the grasslands were derived using the photogrammetry technique "Structure from Motion" (SfM) with horizontal resolution (spatial) of 10cm, 25cm, and 50cm. The accuracy of the CHM derived from UAV photogrammetry was assessed by comparing them through linear regression against local CHM LiDAR (Light Detection and Ranging) data derived from an Airborne Laser Scanner campaign completed in 2020/2021, yielding an [Formula: see text] of 0.71. Subsequently, the HH assessed on the CHMs at the three spatial resolutions, using four different heterogeneity indices (Rao's Q, Coefficient of Variation, Berger-Parker index, and Simpson's D index), was correlated with the ground-based flower and bee diversity and bee abundance data. ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/38191639; info:eu-repo/semantics/altIdentifier/wos/WOS:001138677500061; volume:14; issue:809; firstpage:1; lastpage:14; numberofpages:14; journal:SCIENTIFIC REPORTS; https://hdl.handle.net/11585/952765; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85181698994 |
| DOI: | 10.1038/s41598-023-50308-9 |
| الاتاحة: | https://hdl.handle.net/11585/952765 https://doi.org/10.1038/s41598-023-50308-9 |
| Rights: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.DB9EFF13 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1038/s41598-023-50308-9 |
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