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- Sanchez-Montoya, Maria Mar, et al.
(författare)
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Women in limnology in the Iberian Peninsula : biases, barriers and recommendations
- 2016
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Ingår i: LIMNETICA. - 0213-8409. ; 35:1, s. 61-72
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Tidskriftsartikel (refereegranskat)abstract
- Gender biases in science have received increasing attention in recent years. Underrepresentation at the highest academic levels and bias in publication are some of the factors affecting women in science. In this study, we assessed the situation of women in Limnology, a specific field of natural sciences, within the geographic context of the Iberian Peninsula. We used a multi-faceted approach to diagnose the situation, and we propose guidelines to reduce gender gaps in Limnology. The database of members of the Iberian Limological Association (AIL) was used to analyse the. variability between genders at different professional stages. Data was also compiled on plenary speakers who attended conferences organized by different associations (AIL, SEFS and ASLO) to assess women's visibility. A published data set was used to identify leadership patterns in publications with respect to gender. Finally, a survey of AIL members was conducted to understand their perception of the barriers in science that result in differences between the genders. This study recognized differences at the recruitment level (more tenured positions are held by men), visibility at conferences (fewer women are invited as plenary speakers) and publication as team leaders (men have more publications as first and last authors). Survey participants recognised the scarcity of grants/funding, difficulties in balancing life and career, and the scarcity of job opportunities as the three main barriers in science, regardless of gender. Yet, women identified family-related barriers such as having children and gender biases more frequently. Overall, our study indicates that there is a general gender bias in the field of Limnology in the Iberian Peninsula; however, it is slightly lower than the reported levels in Europe and for other disciplines in Spain. Finally, we provide a list of recommendations to balance the current biases based on suggestions made by the participants of a round table held at the XVII Congress of the AIL (Santander, July 2014). We encourage associations in natural sciences and the AIL in particular to use this study as a guideline for best practices as well as a baseline for future analysis of gender biases.
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| 3. |
- Guzman, Laura Melissa, et al.
(författare)
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Accounting for temporal change in multiple biodiversity patterns improves the inference of metacommunity processes
- 2022
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Ingår i: Ecology. - : John Wiley & Sons. - 0012-9658 .- 1939-9170. ; 103:6
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Tidskriftsartikel (refereegranskat)abstract
- In metacommunity ecology, a major focus has been on combining observational and analytical approaches to identify the role of critical assembly processes, such as dispersal limitation and environmental filtering, but this work has largely ignored temporal community dynamics. Here, we develop a "virtual ecologist" approach to evaluate assembly processes by simulating metacommunities varying in three main processes: density-independent responses to abiotic conditions, density-dependent biotic interactions, and dispersal. We then calculate a number of commonly used summary statistics of community structure in space and time and use random forests to evaluate their utility for inferring the strength of these three processes. We find that (i) both spatial and temporal data are necessary to disentangle metacommunity processes based on the summary statistics we test, and including statistics that are measured through time increases the explanatory power of random forests by up to 59% compared to cases where only spatial variation is considered; (ii) the three studied processes can be distinguished with different descriptors; and (iii) each summary statistic is differently sensitive to temporal and spatial sampling effort. Including repeated observations of metacommunities over time was essential for inferring the metacommunity processes, particularly dispersal. Some of the most useful statistics include the coefficient of variation of species abundances through time and metrics that incorporate variation in the relative abundances (evenness) of species. We conclude that a combination of methods and summary statistics is probably necessary to understand the processes that underlie metacommunity assembly through space and time, but we recognize that these results will be modified when other processes or summary statistics are used.
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