Academic Journal
Application of remote sensing technology to estimate productivity and assess phylogenetic heritability
| العنوان: | Application of remote sensing technology to estimate productivity and assess phylogenetic heritability |
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| المؤلفون: | Scher, C. Lane, Karimi, Nisa, Glasenhardt, Mary‐Claire, Tuffin, Ashley, Cannon, Charles H., Scharenbroch, Bryant C., Hipp, Andrew L. |
| المساهمون: | National Science Foundation |
| المصدر: | Applications in Plant Sciences ; volume 8, issue 11 ; ISSN 2168-0450 2168-0450 |
| بيانات النشر: | Wiley |
| سنة النشر: | 2020 |
| المجموعة: | Wiley Online Library (Open Access Articles via Crossref) |
| الوصف: | PREMISE Measuring plant productivity is critical to understanding complex community interactions. Many traditional methods for estimating productivity, such as direct measurements of biomass and cover, are resource intensive, and remote sensing techniques are emerging as viable alternatives. METHODS We explore drone‐based remote sensing tools to estimate productivity in a tallgrass prairie restoration experiment and evaluate their ability to predict direct measures of productivity. We apply these various productivity measures to trace the evolution of plant productivity and the traits underlying it. RESULTS The correlation between remote sensing data and direct measurements of productivity varies depending on vegetation diversity, but the volume of vegetation estimated from drone‐based photogrammetry is among the best predictors of biomass and cover regardless of community composition. The commonly used normalized difference vegetation index (NDVI) is a less accurate predictor of biomass and cover than other equally accessible vegetation indices. We found that the traits most strongly correlated with productivity have lower phylogenetic signal, reflecting the fact that high productivity is convergent across the phylogeny of prairie species. This history of trait convergence connects phylogenetic diversity to plant community assembly and succession. DISCUSSION Our study demonstrates (1) the importance of considering phylogenetic diversity when setting management goals in a threatened North American grassland ecosystem and (2) the utility of remote sensing as a complement to ground measurements of grassland productivity for both applied and fundamental questions. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1002/aps3.11401 |
| الاتاحة: | http://dx.doi.org/10.1002/aps3.11401 https://onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11401 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/aps3.11401 https://bsapubs.onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11401 |
| Rights: | http://creativecommons.org/licenses/by/4.0/ ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.7EEB4B99 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1002/aps3.11401 |
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