Find research datasets worth reusing

opencc-by-4.0May 2016View details →

Figure 1 in Terrestrial isopods and myriapods in a forested scree slope: subterranean biodiversity, depth gradient and annual dynamics

Figure 1. Distribution of Isopoda, Diplopoda and Chilopoda along the depth gradient of the scree slope expressed as the total number of individuals trapped in two sampling periods (November 2008–November 2009; November 2009–July 2010).

opencc-by-4.0Feb 2017View details →

Supplementary material 1: Elevation data of FSN Dynamics Plot from: Tree Diversity and Dynamics of the Forest of Seu Nico, Viçosa, Minas Gerais, Brazil - Biodiversity Data Journal 3: e5425 (31 July 2015) https://doi.org/10.3897/BDJ.3.e5425

X, Y and elevation values of all vertices from 100 subplots from the one hectar FSN Dynamics Plot relative to starting point forming the northwestern vertex

opencc-zeroJun 2024View details →

Data from: Individual energetics scale up to community coexistence: Movement, metabolism and biodiversity dynamics in fragmented landscapes

Unraveling the intricate mechanisms that govern community coexistence remains a daunting challenge, particularly amidst ongoing environmental change. To understand the response of individual animals to environmental change, physiology and individual metabolism are often studied. However, this perspective is currently largely lacking in community ecology. We argue that the integration of individual metabolism into community theory can offer new insights into coexistence. We present the first individual-based metabolic community model for a terrestrial mammal community to simulate energy dynamics and home range behavior in different environments. Using this model, we investigate how ecologically similar species coexist and maintain their energy balance under food competition. Only if individuals of different species are able to balance their incoming and outgoing energy over the long-term will they be able to coexist. After thoroughly testing and validating the model against real-world patterns such as of home range dynamics and field metabolic rates, we applied it as a case study to scenarios of habitat fragmentation - a widely discussed topic in biodiversity research. First, comparing single-species simulations with community simulations, we find that the effect of habitat fragmentation on populations is strongly context-dependent. While populations of species living alone in the landscape were mostly positively affected by fragmentation, the diversity of a community of species was highest under medium fragmentation scenarios. Under medium fragmentation, energy balance and reproductive investment were also most similar among species. We therefore suggest that similarity in energy balance among species promotes coexistence. We argue that energetics should be part of community ecology theory, as the relative energetic status and reproductive investment can reveal why and under what environmental conditions coexistence is likely to occur. As a result, landscapes can potentially be protected and designed to maximize coexistence. The metabolic community model presented here can be a promising tool to investigate other scenarios of environmental change or other species communities to further disentangle global change effects and preserve biodiversity.

opencc-zeroJun 2024View details →

Variation in successional dynamics shape biodiversity patterns over a tropical-temperate latitudinal gradient

Successional dynamics can vary due to a range of ecological and environmental factors, but our understanding of biogeographic variation in succession, and the processes contributing to community development across ecosystems, is limited. The pattern and rate of recruitment of dispersive propagules likely differs over large spatial scales and can be an important predictor of successional trajectory. Over a 20-degree tropical-temperate latitudinal gradient, we measured sessile invertebrates over 12 months of community development and successive 3-month recruitment windows to understand succession and how it is influenced by recruitment. Succession and recruitment patterns varied over latitude. In the tropics, fast temporal turnover, fluctuating abundances, and lack of successional progression suggest that the contribution of stochastic processes was high. As latitude increased, successional progression became more apparent, characterized by increasing species richness and community cover, and a shift to more competitive taxa over time. At temperate locations, species identities were similar between older communities and recruiting assemblages, however community composition became more variable across space over time. Such divergence suggests an important role of early colonisers and species interactions on community structure. These findings demonstrate differences in the processes contributing to community development and biodiversity patterns over latitude. Understanding such biogeographic variation in community dynamics and identifying the prevalence of different processes can provide insights into how communities assemble and persist in response to environmental variability.

opencc-by-4.0Nov 2015View details →

Figure 2 in Biodiversity and population dynamics of litter-dwelling cockroaches in Belezma National Park (Algeria)

Figure 2. Monthly population dynamics of forest cockroach species sampled between March 2013 and July 2014 in different forests of Belezma National Park (Northeast Algeria).

FIGURE 4 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 4. Evolution of the sea surface temperature. Comparison of the raw data (Martin et al., 2014) with the curve obtained with the mean for each time interval and the curve obtained with the theoretical data calculated from the polynomial curve, smoothing spline, and two curves with three-point moving average and with weighted three-point moving average approaches.

FIGURE 3 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 3. Comparison of the crocodylomorph genus diversity used in various studies. 1, comparison of the number of genera used for each marine crocodylomorph group; 2, comparison of the percent of each group used in the marine crocodylomorph diversity (with and without metriorhynchoids).

FIGURE 2 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 2. Comparison of the crocodylomorph species diversity used in various studies. 1, comparison of the number of species used for each marine crocodylomorph group; 2, comparison of the per cent of each group and of the genus Steneosaurus in the marine crocodylomorph diversity used (with and without metriorhynchoids).

FIGURE 1 in Biases in the study of relationships between biodiversity dynamics and fluctuation of environmental conditions

FIGURE 1. Comparison between the diversity count of Jurassic-Paleogene marine crocodylomorphs (excluding metriorhynchoids) of Martin et al. (2014) (excluding Pelagosaurus typus), with the data obtained in the present work after several corrections. All the data is phylogenetically corrected. The data used in the present work includes four new species, corrections for the number of Machimosaurus species, and taxonomical corrections (see text).

opencc-by-4.0Jun 2021View details →

Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems

Dataset for "Temporal dynamics of biodiversity effects and light-use related traits in two intercropping systems"

opencc-zeroOct 2022View details →

Data from: Pathways to global-change effects on biodiversity: New opportunities for dynamically forecasting demography and species interactions

In structured populations, persistence under environmental change is threatened when abiotic factors simultaneously negatively affect survival and reproduction of several life-cycle stages. Such effects can then be exacerbated when species interactions generate reciprocal feedbacks between the demographic rates of the different species. Despite the importance of such demographic feedbacks, forecasts that account for them are severely limited as individual-based data on interacting species are perceived to be essential for such mechanistic forecasting - but are rarely available. This dataset is the input to showcase a state-of-the-art Bayesian method to infer and project stage-specific survival and reproduction from abundance data for several interacting species in a Mediterranean shrub community.

opencc-zeroJun 2023View details →

Dynamics-based characterisation and classification of biodiversity indicators

Various biodiversity indicators, such as species richness, total abundance, and species diversity indices, have been developed to capture the state of ecological communities over space and time. As biodiversity is a multifaceted concept, it is important to understand the dimension of biodiversity reflected by each indicator for successful conservation and management. Here we utilised the responsiveness of biodiversity indicators' dynamics to environmental changes (i.e. environmental responsiveness) as a signature of the dimension of biodiversity. We present a method for characterising and classifying biodiversity indicators according to environmental responsiveness and apply the methodology to monitoring data for a marine fish community under intermittent anthropogenic warm water discharge. Our analysis showed that ten biodiversity indicators can be classified into three super-groups based on the dimension of biodiversity that is reflected. Group I (species richness and community mean of centre of distribution latitude (cCOD)) showed the greatest robustness to temperature changes; Group II (species diversity and total abundance) showed an abrupt change in the middle of the monitoring period, presumably due to a change in temperature; Group III (species evenness) exhibited the highest sensitivity to environmental changes, including temperature. These results had several ecological implications. First, the responsiveness of species diversity and species evenness to temperature changes might be related to changes in the species abundance distribution. Second, the similar environmental responsiveness of species richness and cCOD implies that fish migration from lower latitudes is a major driver of species compositional changes. The study methodology may be useful in selecting appropriate indicators for efficient biodiversity monitoring.