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Id | Title * | Authors * ▼ | Abstract * | Picture * | Thematic fields * | Recommender | Reviewers | Submission date | |
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21 Oct 2020
![]() Why scaling up uncertain predictions to higher levels of organisation will underestimate changeJames Orr, Jeremy Piggott, Andrew Jackson, Jean-François Arnoldi https://doi.org/10.1101/2020.05.26.117200Uncertain predictions of species responses to perturbations lead to underestimate changes at ecosystem level in diverse systemsRecommended by Elisa Thebault based on reviews by Carlos Melian and 1 anonymous reviewerDifferent sources of uncertainty are known to affect our ability to predict ecological dynamics (Petchey et al. 2015). However, the consequences of uncertainty on prediction biases have been less investigated, especially when predictions are scaled up to higher levels of organisation as is commonly done in ecology for instance. The study of Orr et al. (2020) addresses this issue. It shows that, in complex systems, the uncertainty of unbiased predictions at a lower level of organisation (e.g. species level) leads to a bias towards underestimation of change at higher level of organisation (e.g. ecosystem level). This bias is strengthened by larger uncertainty and by higher dimensionality of the system. References Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM, Tilman D, Wardle DA, Kinzig AP, Daily GC, Loreau M, Grace JB, Larigauderie A, Srivastava DS, Naeem S (2012) Biodiversity loss and its impact on humanity. Nature, 486, 59–67. https://doi.org/10.1038/nature11148 | Why scaling up uncertain predictions to higher levels of organisation will underestimate change | James Orr, Jeremy Piggott, Andrew Jackson, Jean-François Arnoldi | <p>Uncertainty is an irreducible part of predictive science, causing us to over- or underestimate the magnitude of change that a system of interest will face. In a reductionist approach, we may use predictions at the level of individual system com... | ![]() | Community ecology, Ecosystem functioning, Theoretical ecology | Elisa Thebault | Anonymous | 2020-06-02 15:41:12 | View |
20 Feb 2024
![]() Functional trade-offs: exploring the temporal response of field margin plant communities to climate change and agricultural practicesIsis Poinas, Christine N Meynard, Guillaume Fried https://doi.org/10.1101/2023.03.03.530956Unravelling plant diversity in agricultural field margins in France: plant species better adapted to climate change need other agricultures to persistRecommended by Julia AstegianoAgricultural field margin plants, often referred to as “spontaneous” species, are key for the stabilization of several social-ecological processes related to crop production such as pollination or pest control (Tamburini et al. 2020). Because of its beneficial function, increasing the diversity of field margin flora becomes as important as crop diversity in process-based agricultures such as agroecology. Contrary, supply-dependent intensive agricultures produce monocultures and homogenized environments that might benefit their productivity, which generally includes the control or elimination of the field margin flora (Emmerson et al. 2016, Aligner 2018). Considering that different agricultural practices are produced by (and produce) different territories (Moore 2020) and that they are also been shaped by current climate change, we urgently need to understand how agricultural intensification constrains the potential of territories to develop agriculture more resilient to such change (Altieri et al., 2015). Thus, studies unraveling how agricultural practices' effects on agricultural field margin flora interact with those of climate change is of main importance, as plant strategies better adapted to such social-ecological processes may differ. References Alignier, A., 2018. Two decades of change in a field margin vegetation metacommunity as a result of field margin structure and management practice changes. Agric., Ecosyst. & Environ., 251, 1–10. https://doi.org/10.1016/j.agee.2017.09.013 Altieri, M.A., Nicholls, C.I., Henao, A., Lana, M.A., 2015. Agroecology and the design of climate change-resilient farming systems. Agron. Sustain. Dev. 35, 869–890. https://doi.org/10.1007/s13593-015-0285-2 Emmerson, M., Morales, M. B., Oñate, J. J., Batary, P., Berendse, F., Liira, J., Aavik, T., Guerrero, I., Bommarco, R., Eggers, S., Pärt, T., Tscharntke, T., Weisser, W., Clement, L. & Bengtsson, J. (2016). How agricultural intensification affects biodiversity and ecosystem services. In Adv. Ecol. Res. 55, 43-97. https://doi.org/10.1016/bs.aecr.2016.08.005 Grime, J. P., 1977. Evidence for the existence of three primary strategies in plants and its relevance to ecological and evolutionary theory. The American Naturalist, 111(982), 1169–1194. https://doi.org/10.1086/283244 Grime, J. P., 1988. The C-S-R model of primary plant strategies—Origins, implications and tests. In L. D. Gottlieb & S. K. Jain, Plant Evolutionary Biology (pp. 371–393). Springer Netherlands. https://doi.org/10.1007/978-94-009-1207-6_14 Moore, J., 2020. El capitalismo en la trama de la vida (Capitalism in The Web of Life). Traficantes de sueños, Madrid, Spain. Poinas, I., Fried, G., Henckel, L., & Meynard, C. N., 2023. Agricultural drivers of field margin plant communities are scale-dependent. Bas. App. Ecol. 72, 55-63. https://doi.org/10.1016/j.baae.2023.08.003 Poinas, I., Meynard, C. N., Fried, G., 2024. Functional trade-offs: exploring the temporal response of field margin plant communities to climate change and agricultural practices, bioRxiv, ver. 4 peer-reviewed and recommended by Peer Community in Ecology. https://doi.org/10.1101/2023.03.03.530956 Tamburini, G., Bommarco, R., Wanger, T.C., Kremen, C., Van Der Heijden, M.G., Liebman, M., Hallin, S., 2020. Agricultural diversification promotes multiple ecosystem services without compromising yield. Sci. Adv. 6, eaba1715. https://doi.org/10.1126/sciadv.aba1715 | Functional trade-offs: exploring the temporal response of field margin plant communities to climate change and agricultural practices | Isis Poinas, Christine N Meynard, Guillaume Fried | <p style="text-align: justify;">Over the past decades, agricultural intensification and climate change have led to vegetation shifts. However, functional trade-offs linking traits responding to climate and farming practices are rarely analyzed, es... | ![]() | Agroecology, Biodiversity, Botany, Climate change, Community ecology | Julia Astegiano | 2023-03-04 15:40:35 | View | |
29 Dec 2018
![]() The return of the trophic chain: fundamental vs realized interactions in a simple arthropod food webInmaculada Torres-Campos, Sara Magalhães, Jordi Moya-Laraño, Marta Montserrat https://doi.org/10.1101/324178From deserts to avocado orchards - understanding realized trophic interactions in communitiesRecommended by Francis John Burdon based on reviews by Owen Petchey and 2 anonymous reviewersThe late eminent ecologist Gary Polis once stated that “most catalogued food-webs are oversimplified caricatures of actual communities” and are “grossly incomplete representations of communities in terms of both diversity and trophic connections.” Not content with that damning indictment, he went further by railing that “theorists are trying to explain phenomena that do not exist” [1]. The latter critique might have been push back for Robert May´s ground-breaking but ultimately flawed research on the relationship between food-web complexity and stability [2]. Polis was a brilliant ecologist, and his thinking was clearly influenced by his experiences researching desert food webs. Those food webs possess an uncommon combination of properties, such as frequent omnivory, cannibalism, and looping; high linkage density (L/S); and a nearly complete absence of apex consumers, since few species completely lack predators or parasites [3]. During my PhD studies, I was lucky enough to visit Joshua Tree National Park on the way to a conference in New England, and I could immediately see the problems posed by desert ecosystems. At the time, I was ruminating on the “harsh-benign” hypothesis [4], which predicts that the relative importance of abiotic and biotic forces should vary with changes in local environmental conditions (from harsh to benign). Specifically, in more “harsh” environments, abiotic factors should determine community composition whilst weakening the influence of biotic interactions. However, in the harsh desert environment I saw first-hand evidence that species interactions were not diminished; if anything, they were strengthened. Teddy-bear chollas possessed murderously sharp defenses to protect precious water, creosote bushes engaged in belowground “chemical warfare” (allelopathy) to deter potential competitors, and rampant cannibalism amongst scorpions drove temporal and spatial ontogenetic niche partitioning. Life in the desert was hard, but you couldn´t expect your competition to go easy on you. References [1] Polis, G. A. (1991). Complex trophic interactions in deserts: an empirical critique of food-web theory. The American Naturalist, 138(1), 123-155. doi: 10.1086/285208 | The return of the trophic chain: fundamental vs realized interactions in a simple arthropod food web | Inmaculada Torres-Campos, Sara Magalhães, Jordi Moya-Laraño, Marta Montserrat | <p>The mathematical theory describing small assemblages of interacting species (community modules or motifs) has proved to be essential in understanding the emergent properties of ecological communities. These models use differential equations to ... | ![]() | Community ecology, Experimental ecology | Francis John Burdon | 2018-05-16 19:34:10 | View | |
21 Jan 2025
![]() Exploring Rubiaceae fungal endophytes across contrasting tropical forests, tree tissues, and developmental stagesHumberto Castillo-González, Jason C. Slot, Stephanie Yarwood, Priscila Chaverri https://doi.org/10.1101/2024.02.13.580172The hidden diversity of fungal endophytes, associated with Rubiaceae of Costa Rican old-growth forestsRecommended by Melanie Roy based on reviews by Marion Boisseaux and 1 anonymous reviewerEndophytic fungi are expected to be hyperdiverse in tropical forests, and here is an article exploring their diversity, hidden in Rubiaceae leaves, in two old-growth forests of Costa Rica. Humberto Castillo-González et al. not only described their diversity, but also test for the impact of leaf development stage, tissue origin, and site location. They distinguish the different fungal lineages and do identify distinct indicators, showing that specialization of endophytic fungi could be related to other factors in tropical forests. This article is a great example of fungal ecology in the tropics, interacting at fine and large scale with a diversity of hosts. It also invites to discuss the high specialization observed in the tropics, and the ecology of old-growth forests in Costa Rica. References Humberto Castillo-González, Jason C. Slot, Stephanie Yarwood, Priscila Chaverri (2025) Exploring Rubiaceae fungal endophytes across contrasting tropical forests, tree tissues, and developmental stages. bioRxiv, ver.3 peer-reviewed and recommended by PCI Ecology https://doi.org/10.1101/2024.02.13.580172 | Exploring Rubiaceae fungal endophytes across contrasting tropical forests, tree tissues, and developmental stages | Humberto Castillo-González, Jason C. Slot, Stephanie Yarwood, Priscila Chaverri | <p>Fungal endophytes play a pivotal role in tropical forest dynamics, influencing plant fitness through growth stimulation, disease suppression, stress tolerance, and nutrient mobilization. This study investigates the effects of region, leaf devel... | ![]() | Agroecology, Biodiversity, Community ecology, Microbial ecology & microbiology, Mycology, Symbiosis | Melanie Roy | 2024-02-15 22:42:10 | View | |
24 Nov 2023
![]() Consistent individual positions within roosts in Spix's disc-winged batsGiada Giacomini, Silvia Chaves-Ramirez, Andres Hernandez-Pinson, Jose Pablo Barrantes, Gloriana Chaverri https://doi.org/10.1101/2022.11.04.515223Consistent individual differences in habitat use in a tropical leaf roosting batRecommended by Corina LoganConsistent individual differences in habitat use are found across species and can play a role in who an individual mates with, their risk of predation, and their ability to compete with others (Stuber et al. 2022). However, the data informing such hypotheses come primarily from temperate regions (Stroud & Thompson 2019, Titley et al. 2017). This calls into question the generalizability of the conclusions from this research until further investigations can be conducted in tropical regions. Giacomini and colleagues (2023) tackled this task in an investigation of consistent individual differences in habitat use in the Central American tropics. They explored whether Spix’s disc-winged bats form positional hierarchies in roosts, which is an excellent start to learning more about the social behavior of this species - a species that is difficult to directly observe. They found that individual bats use their roosting habitat in predictable ways by positioning themselves consistently either in the bottom, middle, or top of the roost leaf. Individuals chose the same positions across time and across different roost sites. They also found that age and sex play a role in which sections individuals are positioned in. Their research shows that consistent individual differences in habitat use are present in a tropical system, and sets the stage for further investigations into social behavior in this species, particularly whether there is a dominance hierarchy among individuals and whether some positions in the roost are more protective and sought after than others. References Giacomini G, Chaves-Ramirez S, Hernandez-Pinson A, Barrantes JP, Chaverri G. (2023). Consistent individual positions within roosts in Spix's disc-winged bats. bioRxiv, https://doi.org/10.1101/2022.11.04.515223 Stroud, J. T., & Thompson, M. E. (2019). Looking to the past to understand the future of tropical conservation: The importance of collecting basic data. Biotropica, 51(3), 293-299. https://doi.org/10.1111/btp.12665 Stuber, E. F., Carlson, B. S., & Jesmer, B. R. (2022). Spatial personalities: a meta-analysis of consistent individual differences in spatial behavior. Behavioral Ecology, 33(3), 477-486. https://doi.org/10.1093/beheco/arab147 Titley, M. A., Snaddon, J. L., & Turner, E. C. (2017). Scientific research on animal biodiversity is systematically biased towards vertebrates and temperate regions. PloS one, 12(12), e0189577. https://doi.org/10.1371/journal.pone.0189577 | Consistent individual positions within roosts in Spix's disc-winged bats | Giada Giacomini, Silvia Chaves-Ramirez, Andres Hernandez-Pinson, Jose Pablo Barrantes, Gloriana Chaverri | <p style="text-align: justify;">Individuals within both moving and stationary groups arrange themselves in a predictable manner; for example, some individuals are consistently found at the front of the group or in the periphery and others in the c... | ![]() | Behaviour & Ethology, Social structure, Zoology | Corina Logan | 2022-11-05 17:39:35 | View | |
18 Sep 2024
![]() Predicting species distributions in the open ocean with convolutional neural networksGaétan Morand, Alexis Joly, Tristan Rouyer, Titouan Lorieul, Julien Barde https://doi.org/10.1101/2023.08.11.551418The potential of Convolutional Neural Networks for modeling species distributionsRecommended by François MunozMorand et al. (2024) designed convolutional neural networks to predict the occurrences of 38 marine animals worldwide. The environmental predictors were sea surface temperature, chlorophyll concentration, salinity and fifteen others. The time of some of the predictors was chosen to be as close as possible to the time of the observed occurrence. A very interesting feature of PCI Ecology is that reviews are provided with the final manuscript and the present recommendation text. The main question debated during the review process was whether the CNN modeling approach used here can be defined as a kind of niche modeling. Another interesting point is that the CNN model is used here as a multi-species classifier, meaning that it provides the ranked probability that a given observation corresponds to one of the 38 species considered in the study, depending on the environmental conditions at the location and time of the observation. In other words, the model provides the relative chance of choosing each of the 38 species at a given time and place. Imagine that you are only studying two species that have exactly the same niche, a standard SDM approach should provide a high probability of occurrence close to 1 in localities where environmental conditions are very and equally suited to both species, while the CNN classifier would provide a value close to 0.5 for both species, meaning that we have an equal chance of choosing one or the other. Consequently, the fact that the probability given by the classifier is higher for a species at a given point than at another point does not (necessarily) mean that the first point presents better environmental conditions for that species but rather that we are more likely to choose it over one of the other species at this point than at another. In fact, the classification task also reflects whether the other 37 species are more or less likely to be found at each point. The classifier, therefore, does not provide the relative probability of occurrence of a species in space but rather a relative chance of finding it instead of one of the other 37 species at each point of space and time. Finally, CNN-based species distribution modelling is a powerful and promising tool for studying the distributions of multi-species assemblages as a function of local environmental features but also of the spatial heterogeneity of each feature around the observation point in space and time (Deneu et al. 2021). It allows acknowledging the complex effects of environmental predictors and the roles of their spatial and temporal heterogeneity through the convolution operations performed in the neural network. As more and more computationally intensive tools become available, and as more and more environmental data becomes available at finer and finer temporal and spatial scales, the CNN approach is likely to be increasingly used to study biodiversity patterns across spatial and temporal scales. References Botella, C., Joly, A., Bonnet, P., Monestiez, P., and Munoz, F. (2018). Species distribution modeling based on the automated identification of citizen observations. Applications in Plant Sciences, 6(2), e1029. https://doi.org/10.1002/aps3.1029 Deneu, B., Servajean, M., Bonnet, P., Botella, C., Munoz, F., and Joly, A. (2021). Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Computational Biology, 17(4), e1008856. https://doi.org/10.1371/journal.pcbi.1008856 Morand, G., Joly, A., Rouyer, T., Lorieul, T., and Barde, J. (2024) Predicting species distributions in the open ocean with convolutional neural networks. bioRxiv, ver.3 peer-reviewed and recommended by PCI Ecology https://doi.org/10.1101/2023.08.11.551418 Ovaskainen, O., Tikhonov, G., Norberg, A., Guillaume Blanchet, F., Duan, L., Dunson, D., ... and Abrego, N. (2017). How to make more out of community data? A conceptual framework and its implementation as models and software. Ecology letters, 20(5), 561-576. https://doi.org/10.1111/ele.12757 | Predicting species distributions in the open ocean with convolutional neural networks | Gaétan Morand, Alexis Joly, Tristan Rouyer, Titouan Lorieul, Julien Barde | <p>As biodiversity plummets due to anthropogenic disturbances, the conservation of oceanic species is made harder by limited knowledge of their distributions and migrations. Indeed, tracking species distributions in the open ocean is particularly ... | ![]() | Marine ecology, Species distributions | François Munoz | Jean-Olivier Irisson | 2023-08-13 07:25:28 | View |
27 Feb 2025
![]() Mineral fertilization reduces the drought resistance of soil multifunctionality in a mountain grassland system through plant-soil interactionsGabin Piton, Arnaud Foulquier, Lionel Bernard, Aurelie Bonin, Thomas Pommier, Sandra Lavorel, Roberto Geremia, Jean Christophe Clement https://doi.org/10.1101/2024.09.19.613911Complex interactions between fertilization, drought and plants impact soil functioningRecommended by Sébastien BarotThe ingredients of this study are classic in soil ecology and in the study of belowground-aboveground interactions: the presence of plants, draught and mineral fertilization (for the experimental treatments) and microbial carbon, microbial nitrogen, microbial phosphorus, substrate-induced respiration, cumulative extracellular enzyme activity, nitrogen mineralization potential, nitrification potential, denitrification potential (as a result of the treatments). It is interesting and useful to have tested all the combinations of the three treatments and the height variables (also in the form of a soil multifunctionality index) in the same study and to have been able to express hypotheses on the underlying mechanisms of interaction.
A key result is that mineral fertilization can reduce the soil ability to withstand draughts in terms of soil multifunctionality. This effect would be due to the increase in plant growth associated with fertilization, which reduces the availability of soil resources. This subsequently affects microbial diversity and soil multifunctionality. This confirms that the interactions between plants and soil microorganisms are complex and relevant for understanding and predicting the impact of climate and fertilization on soil functioning and the sustainability of plant-soil systems.
Although the study is rather fundamental, it has been designed to be relevant to grassland management and points to very general mechanisms that are likely to be relevant to arable land management. It would therefore be useful to repeat this work for interactions between a crop and its soil. Finally, it would be crucial to test the impact of heavy fertilization in intensive cropping systems on the resistance and resilience of soil functions to climate variability and climate changes.
A slightly disturbing fact is that the underlying interactions are probably so complicated that it seems so far impossible to me to make predictions about the ranking of the height combinations of treatments on each soil variable. But this complexity is clearly inherent to ecology and, in particular, plant-soil interactions.
References Gabin Piton, Arnaud Foulquier, Lionel Bernard, Aurelie Bonin, Thomas Pommier, Sandra Lavorel, Roberto Geremia, Jean Christophe Clement (2025) Mineral fertilization reduces the drought resistance of soil multifunctionality in a mountain grassland system through plant-soil interactions. bioRxiv, ver.2 peer-reviewed and recommended by PCI Ecology https://doi.org/10.1101/2024.09.19.613911 | Mineral fertilization reduces the drought resistance of soil multifunctionality in a mountain grassland system through plant-soil interactions | Gabin Piton, Arnaud Foulquier, Lionel Bernard, Aurelie Bonin, Thomas Pommier, Sandra Lavorel, Roberto Geremia, Jean Christophe Clement | <p>Increasing droughts threaten soil microbial communities and the multiple functions they control in agricultural soils. These soils are often fertilized with mineral nutrients, but it remains unclear how this fertilization may alter the capacity... | ![]() | Agroecology, Climate change, Ecological stoichiometry, Ecosystem functioning, Experimental ecology, Microbial ecology & microbiology, Soil ecology | Sébastien Barot | 2024-09-19 18:55:06 | View | |
09 Nov 2023
Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasetsFrédéric Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, Emma C. Teeling, Sébastien J. Puechmaille https://doi.org/10.1101/2022.03.25.485763Marks lost in action, biased estimationsRecommended by Sylvain BilliardCapture-Mark-Recapture (CMR) data are commonly used to estimate ecological variables such as abundance, survival probability, or transition rates from one state to another (e.g. from juvenile to adult, or migration from one site to another). Many studies have shown how estimations can be affected by neglecting one aspect of the population under study (e.g. the heterogeneity in survival between individuals) or one limit of the methodology itself (e.g. the fact that observers might not detect an individual although it is still alive). Strikingly, very few studies have yet assessed the robustness of one fundamental assumption of all CMR-based inferences: marks are supposed definitive and immutable. If they are not, how are estimations affected? Addressing this issue is the main goal of the paper by Touzalin et al. (2023), and they did a very nice work. But, because the answer is not that simple, it also calls for further investigations. When and why would mark loss bias estimation? In at least two situations. First, when estimating survival rates: if an individual loses its mark, it will be considered as dead, hence death rates will be overestimated. Second, more subtly, when estimating transition rates: if one individual loses its mark at the specific moment where its state changes, then a transition will be missed in data. The history of the marked individual would then be split into two independent CMR sequences as if there were two different individuals, including one which died. Touzalin et al. (2023) thoroughly studied these two situations by estimating ecological parameters on 1) well-thought simulated datasets, that cover a large range of possible situations inspired from a nice compilation of hundreds of estimations from fish and bats studies, and 2) on their own bats dataset, for which they had various sources of information about mark losses, i.e. different mark types on the same individuals, including mark based on genotypes, and marks found on the soil in the place where bats lived. Their main findings from the simulated datasets are that there is a general trend for underestimation of survival and transition rates if mark loss is not accounting for in the model, as it would be intuitively expected. However, they also showed from the bats dataset that biases do not show any obvious general trend, suggesting complex interactions between different ecological processes and/or with the estimation procedure itself. The results by Touzalin et al. (2023) strongly suggest that mark loss should systematically be included in models estimating parameters from CMR data. In addition to adapt the inferential models, the authors also recommend considering either a double marking, or even a single but ‘permanent’ mark such as one based on the genotypes. However, the potential gain of a double marking or of the use of genotypes is still to be evaluated both in theory and practice, and it seems to be not that obvious at first sight. First because double marking can be costly for experimenters but also for the marked animals, especially as several studies showed that marks can significantly affect survival or recapture rates. Second because multiple sources of errors can affect genotyping, which would result in wrong individual assignations especially in populations with low genetic diversity or high inbreeding, or no individual assignation at all, which would increase the occurrence of missing data in CMR datasets. Touzalin et al. (2023) supposed in their paper that there were no genotyping errors, but one can doubt it to be true in most situations. They have now important and interesting other issues to address. References Frédéric Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, Emma C. Teeling, Sébastien J. Puechmaille (2023) Mark loss can strongly bias demographic rates in multi-state models: a case study with simulated and empirical datasets. BioRxiv, ver. 3 peer-reviewed and recommended by Peer Community in Ecology. https://doi.org/10.1101/2022.03.25.485763 | Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets | Frédéric Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, Emma C. Teeling, Sébastien J. Puechmaille | <p style="text-align: justify;">1. The development of methods for individual identification in wild species and the refinement of Capture-Mark-Recapture (CMR) models over the past few decades have greatly improved the assessment of population demo... | Conservation biology, Demography | Sylvain Billiard | 2022-04-12 18:49:34 | View | ||
03 Apr 2020
![]() Body temperatures, life history, and skeletal morphology in the nine-banded armadillo (Dasypus novemcinctus)Frank Knight, Cristin Connor, Ramji Venkataramanan, Robert J. Asher https://doi.org/10.17863/CAM.50971Is vertebral count in mammals influenced by developmental temperature? A study with Dasypus novemcinctusRecommended by Mar Sobral based on reviews by Darin Croft and ?Mammals show a very low level of variation in vertebral count, both among and within species, in comparison to other vertebrates [1]. Jordan’s rule for fishes states that the vertebral number among species increases with latitude, due to ambient temperatures during development [2]. Temperature has also been shown to influence vertebral count within species in fish [3], amphibians [4], and birds [5]. However, in mammals the count appears to be constrained, on the one hand, by a possible relationship between the development of the skeleton and the proliferations of cell lines with associated costs (neural malformations, cancer etc., [6]), and on the other by the cervical origin of the diaphragm [7]. References [1] Hautier L, Weisbecker V, Sánchez-Villagra MR, Goswami A, Asher RJ (2010) Skeletal development in sloths and the evolution of mammalian vertebral patterning. Proceedings of the National Academy of Sciences, 107, 18903–18908. doi: 10.1073/pnas.1010335107 | Body temperatures, life history, and skeletal morphology in the nine-banded armadillo (Dasypus novemcinctus) | Frank Knight, Cristin Connor, Ramji Venkataramanan, Robert J. Asher | <p>The nine banded armadillo (*Dasypus novemcinctus*) is the only xenarthran mammal to have naturally expanded its range into the middle latitudes of the USA. It is not known to hibernate, but has been associated with unusually labile core body te... | ![]() | Behaviour & Ethology, Evolutionary ecology, Life history, Physiology, Zoology | Mar Sobral | 2019-11-22 22:57:31 | View | |
24 May 2022
![]() Controversy over the decline of arthropods: a matter of temporal baseline?François Duchenne, Emmanuelle Porcher, Jean-Baptiste Mihoub, Grégoire Loïs, Colin Fontaine https://doi.org/10.1101/2022.02.09.479422Don't jump to conclusions on arthropod abundance dynamics without appropriate dataRecommended by Tim CoulsonHumans are dramatically modifying many aspects of our planet via increasing concentrations of carbon dioxide in the atmosphere, patterns of land-use change, and unsustainable exploitation of the planet’s resources. These changes impact the abundance of species of wild organisms, with winners and losers. Identifying how different species and groups of species are influenced by anthropogenic activity in different biomes, continents, and habitats, has become a pressing scientific question with many publications reporting analyses of disparate data on species population sizes. Many conclusions are based on the linear analysis of rather short time series of organismal abundances. Duchenne F, Porcher E, Mihoub J-B, Loïs G, Fontaine C (2022) Controversy over the decline of arthropods: a matter of temporal baseline? bioRxiv, 2022.02.09.479422, ver. 3 peer-reviewed and recommended by Peer Community in Ecology. https://doi.org/10.1101/2022.02.09.479422 | Controversy over the decline of arthropods: a matter of temporal baseline? | François Duchenne, Emmanuelle Porcher, Jean-Baptiste Mihoub, Grégoire Loïs, Colin Fontaine | <p style="text-align: justify;">Recently, a number of studies have reported somewhat contradictory patterns of temporal trends in arthropod abundance, from decline to increase. Arthropods often exhibit non-monotonous variation in abundance over ti... | ![]() | Conservation biology | Tim Coulson | 2022-02-11 15:44:44 | View |
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