Realizing the potential of trait‐based aquatic ecology: New tools and collaborative approaches
Autor: | Alicia K. Williams, Colin T. Kremer, Anne M. Kellerman, Michael Finiguerra, Bradley B. Tolar, Sara F. Paver, Benjamin J. Toscano, Allison A. Fong |
---|---|
Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
business.industry Emerging technologies 010604 marine biology & hydrobiology Ecology (disciplines) Aquatic ecosystem Trait based Environmental resource management Context (language use) Variation (game tree) Aquatic Science Biology Oceanography 010603 evolutionary biology 01 natural sciences Field (geography) Trait business |
Zdroj: | Limnology and Oceanography. 62:253-271 |
ISSN: | 1939-5590 0024-3590 |
Popis: | Trait-based ecology, which focuses on using the traits of species and individuals to understand ecology (from populations to ecosystems), is becoming an increasingly productive and widely employed paradigm. To date, trait-based approaches have been used to study taxa from microbes to megafauna in every major area of aquatic ecology yielding exciting results. However, this promising field faces a number of significant obstacles, including: (1) identifying and measuring ecologically relevant traits, (2) integrating inter- and intra-specific trait variation, (3) detecting and quantifying trait correlations and trade-offs, and (4) accounting for the context dependency of traits. These issues are often particularly acute for specific taxa or systems. This paper highlights these looming challenges, as well as ways to address them. Proposed solutions center around using new technologies to collect trait data, coordinating research efforts, and curating and sharing data. Throughout, we take an interdisciplinary approach, sharing examples spanning a wide range of aquatic taxa and systems. It is our hope that this paper will stimulate frank discussions and help the growing field of trait-based aquatic ecology maximize its potential. |
Databáze: | OpenAIRE |
Externí odkaz: |