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Environmental factors influencing invertebrate communities in caves and surrounding habitats in the Neotropics

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  • Universidade Federal de Lavras (UFLA) Brazil
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Abstract

The connectivity between epigean and cave habitats is crucial for maintaining invertebrate communities once it can facilitate faunal movement, organic resource supply, and environmental stability. The study aimed to investigate how some spatial and temporal variations in environmental factors within caves and epigean habitats influence invertebrate species richness and composition. We found a notable difference in invertebrate species richness and composition between cave and epigean environments and between cave lithologies. Moisture and temperature significantly influenced species composition across lithologies and epigean and hypogean environments. Cave microclimatic emerged as a critical factor influencing cave fauna. The dissimilarities between epigean and cave environments underscore the selective pressures imposed by caves, challenging species to overcome such environmental filters. Despite epigean environments offering more significant variability in conditions and resources, the findings highlight the importance of local ecological context and specific situations in shaping invertebrate communities. Furthermore, spatial variability within caves emphasises the necessity for a nuanced approach to conservation, considering the heterogeneity of habitats within each cave system. The study contributes to understanding the relationship between caves and their surrounding areas, emphasising the need for tailored conservation strategies that account for regional and cave-specific factors in the context of global environmental changes.

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Post congress Special session CaveLab The fact that the caves are semi-closed systems with an almost constant temperature makes them almost ideal sites where to study the effect of temperature on ecosystems. As a first approximation we may assume that a cave has a temperature almost equal to the local yearly average temperature. Increases in outside temperature (i.e. global warming) can thus easily be detected inside caves and cave dwelling organisms, showing low tolerance to temperature variations, may be affected by such variations. Altering cave microclimate, global warming may potentially cause local extinctions. One of the aims of the CaveLab Research Project (Work Package 6) is to evaluate the potentiality of the cave ecosystems as indicators for global warming. The aim of this study is to investigate the relation between cave temperature and cave dwelling arthropods, addressing their potential for the monitoring of global warming. In 2013 we allocated 72 i-button devices programmed to record temperature every 6 hours for one year in 36 caves in the Western Italian Alps. As a result, the focal caves were characterized from a microclimatic point of view that provided the baseline for the study of the relation between temperature and the occurrence of specialized cave dwelling arthropods. Later on, we extended the dataset to comprise more than 350 caves, for which we obtained a climatic profile and gathered faunistic data (presence/absence) via direct samplings and literature data. Binomial General Addictive Models (GAM) models allowed us to identify several cryophilic stenotherm hypogean species (adapted to narrow ranges of cold temperatures), that will be chosen to assess future scenarios of species distribution on a large scale according to different temperature scenarios provided by the International Panel on Climate Change (IPCC). In particular, spiders of the genus Troglohyphantes (Araneae, Linyphiidae), proved to be the most sensible species to thermic variations. A special focus on the regional scale (population extinctions or expansions, future scenarios of species distribution, decline of endemic species) will be given.
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Explanations concerning the origin of obligate cavcmicoles, or troglobites, have long been a source of controversy among biospclaeologists. It is suggested here that troglophiles become troglobites as the result of an adaptive shift to an ecological niche which cannot occur in epigean communities. This adaptive shift is facilitated by preadaptation of the incipient troglobite through the development of genoclines in its troglophilic ancestral population. The shift to troglobitism is forced by competitive exclusion of the incipient troglobitc from its original troglophilic niche by an invading species or community. The major changes of fauna produced in temperate latitudes by the climatic fluctuations of the Pleistocene have resulted in a particularly rich troglobitic fauna composed mainly of cryophilic relicts inhabiting temperate caves.
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AimThe goal of this study was to determine the role habitat availability plays in the distribution of obligate subterranean cave fauna in eastern North America.LocationThe numbers of stygobites, troglobites and caves in the counties of the south-eastern USA were analysed.Methods The data were characterized by large numbers of zeroes and by spatial clustering of non-zeroes in five regions. Regression and conditional autoregressive (CAR) models were used to elucidate the patterns and relationships between numbers of species and numbers of caves both locally and regionally.ResultsLocal effects (regions and numbers of caves in counties) accounted for 45% of the variation in troglobite counts (P=< 0.001) and 24% of the variation in stygobite counts (P=< 0.001). Significant spatial autocorrelation among both stygobites and troglobites (P=< 0.0001) was found as well.Conclusion Overall, habitat availability as measured by cave numbers influenced species richness. Spatial and regional effects also played an important role in determining the observed distributions of the subterranean fauna. Terrestrial and aquatic communities showed very different patterns in their relationship to habitat and within the different regions.
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We present a new multivariate technique for testing the significance of individual terms in a multifactorial analysis-of-variance model for multispecies response variables. The technique will allow researchers to base analyses on measures of association (distance measures) that are ecologically relevant. In addition, unlike other distance-based hypothesis-testing techniques, this method allows tests of significance of interaction terms in a linear model. The technique uses the existing method of redundancy analysis (RDA) but allows the analysis to be based on Bray-Curtis or other ecologically meaningful measures through the use of principal coordinate analysis (PCoA). Steps in the procedure include: (1) calculating a matrix of distances among replicates using a distance measure of choice (e.g., Bray-Curtis); (2) determining the principal coordinates (including a correction for negative eigenvalues, if necessary), which preserve these distances; (3) creating a matrix of dummy variables corresponding to the design of the experiment (i.e., individual terms in a linear model); (4) analyzing the relationship between the principal coordinates (species data) and the dummy variables (model) using RDA; and (5) implementing a test by permutation for particular statistics corresponding to the particular terms in the model. This method has certain advantages not shared by other multivariate testing procedures. We demonstrate the use of this technique with experimental ecological data from intertidal assemblages and show how the presence of significant multivariate interactions can be interpreted. It is our view that distance-based RDA will be extremely useful to ecologists measuring multispecies responses to structured multifactorial experimental designs.