<p>Plant traits &#8211; the morphological, anatomical, physiological, biochemical and&#160;phenological characteristics of plants &#8211; determine how plants respond to&#160;environmental factors, affect other trophic levels, and influence ecosystems properties&#160;and derived benefits and detriments to people. Plant trait data thus represent the&#160;essential basis for a vast area of research spanning evolutionary biology, community&#160;and functional ecology, biodiversity conservation, ecosystem and landscape&#160;management and restoration, biogeography to earth system modeling. Since its&#160;foundation in 2007, the TRY database of plant traits has grown continuously. It now&#160;provides unprecedented data coverage under an open access data policy and is the&#160;main plant trait database used by the research community. Increasingly the TRY&#160;database also supports new frontiers of trait-based research, including identi:cation of&#160;data gaps and subsequent mobilization or measurement of new data. To support this&#160;development, in this article we take stock of trait data compiled in TRY and analyze&#160;emerging patterns of data coverage, representativeness, and gaps. Best species&#160;coverage is achieved for categorical traits (stable within species) relevant to determine&#160;plant functional types commonly used in global vegetation models. For the trait &#8216;plant&#160;growth form&#8217; complete species coverage is within reach. However, most traits relevant&#160;for ecology and vegetation modeling are characterized by intraspecific variation and&#160;trait-environmental relationships. These traits have to be measured on individual plants&#160;in their respective environment: completeness at global scale is impossible and&#160;representativeness challenging. Due to the sheer amount of data in the TRY database,&#160;machine learning for trait prediction is promising - but does not add new data. We&#160;therefore conclude that reducing data gaps and biases by further and more systematic&#160;mobilization of trait data and new in-situ trait measurements must continue to be a high&#160;priority. This can only be achieved by a community effort in collaboration with other&#160;initiatives.</p>
No abstract
No abstract
Education & trainingPsychiatric Rehabilitation (PSR) is a person-centered recovery-oriented approach that builds upon a person's strengths to achieve the goal which s/he has selected. The approach seeks to remove barriers that prevent the individual from reaching his/her goal through the use of strengths, skills, and environmental resources (Anthony, 2005, Deegan, 1988. PSR differs from other treatment modalities in its emphasis on hope, specifically the hope that recovery is possible and the belief that all people have the capacity to learn and grow (Pratt, Gill, Barrett & Roberts, 1999;Neese-Todd & Pavick, 2000). The focus is upon function not symptoms, capability not deficit, collaboration not prescription.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.