| Montane species track rising temperatures better in the tropics than in the temperate zone BG Freeman, Y Song, KJ Feeley, K Zhu Ecology Letters 24 (8), 1697-1708, 2021 | 64 | 2021 |
| Forest age improves understanding of the global carbon sink K Zhu, Y Song, C Qin Proceedings of the National Academy of Sciences 116 (10), 3962-3964, 2019 | 42 | 2019 |
| Effects of macrophytes on lake‐water quality across latitudes: A meta‐analysis Y Song, JH Liew, DZH Sim, MAD Mowe, SM Mitrovic, HTW Tan, DCJ Yeo Oikos 128 (4), 468-481, 2019 | 34 | 2019 |
| Comparative study of six emergent macrophyte species for controlling cyanobacterial blooms in a tropical reservoir MAD Mowe, Y Song, DZH Sim, J Lu, SM Mitrovic, HTW Tan, DCJ Yeo Ecological engineering 129, 11-21, 2019 | 16 | 2019 |
| Tropical macrophytes promote phytoplankton community shifts in lake mesocosms: Relevance for lake restoration in warm climates DZH Sim, MAD Mowe, Y Song, J Lu, HTW Tan, SM Mitrovic, DL Roelke, ... Hydrobiologia 848 (20), 4861-4884, 2021 | 11 | 2021 |
| Montane species and communities track recent warming more closely in the tropics BG Freeman, Y Song, KJ Feeley, K Zhu bioRxiv, 2020.05. 18.102848, 2020 | 11 | 2020 |
| Widespread mismatch between phenology and climate in human‐dominated landscapes Y Song, CJ Zajic, T Hwang, CR Hakkenberg, K Zhu AGU Advances 2 (4), e2021AV000431, 2021 | 10 | 2021 |
| Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches J Kitzes, R Blake, S Bombaci, M Chapman, SM Duran, T Huang, ... Ecosphere 12 (11), e03795, 2021 | 8 | 2021 |
| Prediction-based approach for quantifying phenological mismatch across landscapes under climate change Y Song, SB Munch, K Zhu Landscape Ecology 38 (3), 821-845, 2023 | 4 | 2023 |
| An ex-situ mesocosm study of emergent macrophyte effects on phytoplankton communities. Y Song, MAD Mowe, SM Mitrovic, HTW Tan, DCJ Yeo Fundamental and Applied Limnology 192 (3), 225-235, 2019 | 3 | 2019 |
| Predicting spring phenology in deciduous broadleaf forests: An open community forecast challenge K Wheeler, M Dietze, D LeBauer, J Peters, AD Richardson, RQ Thomas, ... | 1 | 2023 |
| Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge KI Wheeler, MC Dietze, D LeBauer, JA Peters, AD Richardson, AA Ross, ... Agricultural and Forest Meteorology 345, 109810, 2024 | | 2024 |
| PlanetScope imagery captures within-site canopy-level variations in vegetative phenology Y Song, K Zhu AGU23, 2023 | | 2023 |
| Fungal Spore Season is Advancing and Extending in the Continental US R Wu, Y Song, K Zhu AGU23, 2023 | | 2023 |
| Volunteer-contributed observations of flowering often correlate with airborne pollen concentrations TM Crimmins, E Vogt, CL Brown, D Dalan, A Manangan, G Robinson, ... International Journal of Biometeorology 67 (8), 1363-1372, 2023 | | 2023 |
| Harnessing herbaria to advance plant phenology research under global change K Zhu, Y Song New Phytologist 239 (6), 2023 | | 2023 |
| Observations from the USA National Phenology Network can be leveraged to model airborne pollen DSW Katz, E Vogt, A Manangan, CL Brown, D Dalan, K Zhu, Y Song, ... Aerobiologia 39 (1), 169-174, 2023 | | 2023 |
| Phenology in the Anthropocene: Interactions Between Ecology, Climate Change, and Human Society Y Song University of California, Santa Cruz, 2023 | | 2023 |
| Inferring flowering phenology of wind-pollinated plants with high spatiotemporal resolution imagery Y Song, Z Zhu, D Katz, C Beaulieu, K Zhu AGU Fall Meeting Abstracts 2022, B36C-05, 2022 | | 2022 |
| Novel prediction-based framework and machine learning model for quantifying phenological mismatch during climate change Y Song, S Munch, K Zhu AGU Fall Meeting Abstracts 2021, IN11C-05, 2021 | | 2021 |
