2020
DOI: 10.1038/s41597-019-0344-7
|View full text |Cite|
|
Sign up to set email alerts
|

A global database for metacommunity ecology, integrating species, traits, environment and space

Abstract: a global database for metacommunity ecology, integrating species, traits, environment and space alienor Jeliazkov et al. #the use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
44
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 39 publications
(45 citation statements)
references
References 100 publications
0
44
0
Order By: Relevance
“…Trophic guilds are among the most commonly applied trait to assess ecosystem functioning because they directly relate to energy and nutrient fluxes across trophic levels. Thus, our standardized framework represents a major step forward for coral reef functional ecology, while heeding the call for openly accessible, reproducible trait databases [ 31 , 78 , 101 ]. As trait-based ecology continues to be used to examine disturbances and implement management strategies, our cohesive and accessible framework can provide key insights into the trajectory of coral reef communities.…”
Section: Discussionmentioning
confidence: 99%
“…Trophic guilds are among the most commonly applied trait to assess ecosystem functioning because they directly relate to energy and nutrient fluxes across trophic levels. Thus, our standardized framework represents a major step forward for coral reef functional ecology, while heeding the call for openly accessible, reproducible trait databases [ 31 , 78 , 101 ]. As trait-based ecology continues to be used to examine disturbances and implement management strategies, our cohesive and accessible framework can provide key insights into the trajectory of coral reef communities.…”
Section: Discussionmentioning
confidence: 99%
“…The analysis of noisy ecological data [25], variables in ecology modelling [26], number of counts termites [27], community ecology and integrating species, traits, environmental, space [28], parameter in rainfall forecasting [29,30], global climate zone [31], local climate zone [32], environmental noise pollution [33], urban pollution [34,35], rainfall spatial temporal [36], flash flood hazard [37,38], landslide [39], earthquake damage detection using curvilinear features [40], earthquake classifiers using stochastic reconstruction [41] and tsunami [42] Health Future genetic association studies of colorectal cancer [11], Aortic Anatomy on Endovascular Aneurysm Repair (EVAR) [43], colorectal cancer cases phenotype [10], identify a wide range of predictors that could enhance prediabetes prediction and clinical decision-making [44], the classification of diabetes mellitus [45], type 2 diabetes within 2 years in an obese, hypertensive population [46], the principal purpose of coronary illness [47], heart disease [48], cardiovascular disease [49], ovarian cancer patients [50], gene expression RNA-Seq data [51,52], adjuvant chemotherapy effectiveness assessment in non-small cell lung cancer [53], and Alzheimer's disease [54] Finance Mineral prospect [12], Industrial recommendation system [13], financial crisis [55], industrial coal mine [56], poverty classification [57], spatiote...…”
Section: Subject Descriptionmentioning
confidence: 99%
“…However, a good set of high‐quality species co‐occurrence data is needed to use these methods. This is a potential limitation, but there is a growing number of databases of biodiversity samplings available (Bruelheide et al, 2019; Chytrý et al, 2016; Jeliazkov et al, 2020; Salguero‐Gómez et al, 2016). We envisage that recent development towards probabilistic approaches in dark diversity techniques (Carmona, Szava‐Kovats, & Pärtel, 2019; Karger et al, 2016) will allow for a better quantification of the precision of dark diversity estimations.…”
Section: How To Obtain Dark Diversity?mentioning
confidence: 99%