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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Primack, Richard B. | - |
| dc.contributor.author | Gallinat, Amanda S. | - |
| dc.contributor.author | Ellwood, Elizabeth R. | - |
| dc.date.accessioned | 2023-08-14T03:34:17Z | - |
| dc.date.available | 2023-08-14T03:34:17Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s00484-023-02502-7 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/8793 | - |
| dc.description | CC-BY | vi |
| dc.description.abstract | The number and diversity of phenological studies has increased rapidly in recent years. Innovative experiments, field studies, citizen science projects, and analyses of newly available historical data are contributing insights that advance our understanding of ecological and evolutionary responses to the environment, particularly climate change. However, many phenological data sets have peculiarities that are not immediately obvious and can lead to mistakes in analyses and interpretation of results. This paper aims to help researchers, especially those new to the field of phenology, understand challenges and practices that are crucial for effective studies. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | phenological research | vi |
| dc.subject | phenological studies | vi |
| dc.title | Ten best practices for effective phenological research | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Khoa học môi trường | |
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