Different Aspects Of Biodiversity Research Articles

A diversity of diversities: Do complex environmental effects underpin associations between below‐ and above‐ground taxa?

Abstract To predict how biodiversity will respond to global change, it is crucial to understand the relative roles of abiotic drivers and biotic interactions in driving associations between the biodiversity of disparate taxa. It is particularly challenging to understand diversity–diversity links across domains and habitats, because data are rarely available for multiple above‐ and below‐ground taxa across multiple sites. Here, we analyse data from a unique biodiversity data set gathered across a variety of oceanic temperate terrestrial habitats in Wales, comprising 300 sites with co‐located soil microbial, plant, bird and pollinator surveys along with climate and soil physicochemical information. Soil groups are analysed using metabarcoding of the 16S, ITS1 and 18S DNA regions, allowing in‐depth characterisation of microbial and soil animal biodiversity. We explore biodiversity relationships along three aspects of community composition: First, we assess correlation between the alpha diversity of different groups. Second, we assess whether biotic turnover between sites is correlated across different groups. Finally, we investigate the co‐occurrence of individual taxa across sites. In each analysis, we assess the contribution of linear or nonlinear environmental effects. We find that a positive correlation between alpha diversity of plants, soil bacteria, soil fungi, soil heterotrophic protists, bees and butterflies is in fact driven by complex nonlinear responses to abiotic drivers. In contrast, environmental variation did not account for positive associations between the diversity of plants and both birds and AM fungi, suggesting a role for biotic interactions. Both the diversity and taxon‐level associations between the differing soil groups remained even after accounting for nonlinear environmental gradients. Above‐ground, spatial factors played larger roles in driving biotic communities, while linear environmental gradients were sufficient to explain many group‐ and taxon‐level relationships. Synthesis. Our results show how nonlinear responses to environmental gradients drive many of the relationships between plant biodiversity and the biodiversity of above‐ and below‐ground biological communities. Our work shows how different aspects of biodiversity might respond nonlinearly to changing environments and identifies cases where management‐induced changes in one community could either influence other taxa or lead to loss of apparent biological associations.

Global shortfalls of knowledge on anuran tadpoles

Despite the amount of data on different aspects of biodiversity, such as species distributions, taxonomy, or phylogenetics, there are still significant gaps and biases in the available information. This is particularly true for life history traits, with fragmentary data for most taxa, especially those with complex life cycles. Anurans (frogs and toads) show larval (premetamorphic) stages that are in general radically decoupled from adult forms in most biological aspects. Our understanding of this group is highly uneven, as the main wide-scope investigations focus on adult specimens and larval stages remain unknown for a significant part of the anuran tree. The main purpose of this work was to estimate the extent of knowledge gaps regarding the diversity of tadpoles, interpret their biological and geographical patterns, and discuss possible explanations and implications for other large-scale analyses. Our findings show that more than half of the anuran species described to date still lack information on their embryonic/larval stages. Furthermore, knowledge varies among taxonomic groups, larval ecomorphological guilds, and world ecoregions. Description percentages generally decrease in lineages with a higher proportion of species known or suspected to have endotrophic development. Also, geographic areas with the highest levels of ignorance in larval biology (Tropical Andes and New Guinea) coincide with the highest diversity of endotrophic guilds. Among exotrophic larvae, generalized lentic-lotic tadpoles have the widest distribution and levels of knowledge, whereas specialized lotic, fossorial, and terrestrial forms are more taxonomically and geographically restricted. Further large-scale analyses on tadpole biology are crucial for their impact in varied scientific disciplines including anuran conservation. At a conceptual level, the discussion of the anuran biphasic life cycle is pertinent in the context of shortfalls of biodiversity knowledge and their interrelationships.

Increased dispersal explains increasing local diversity with global biodiversity declines.

The narrative of biodiversity decline in response to human impacts is overly simplistic because different aspects of biodiversity show different trajectories at different spatial scales. It is also debated whether human-caused biodiversity changes lead to subsequent, accelerating change (cascades) in ecological communities, or alternatively build increasingly robust community networks with decreasing extinction rates and reduced invasibility. Mechanistic approaches are needed that simultaneously reconcile different aspects of biodiversity change, and explore the robustness of communities to further change. We develop a trophically structured, mainland-archipelago metacommunity model of community assembly. Varying the parameters across model simulations shows that local alpha diversity (the number of species per island) and regional gamma diversity (the total number of species in the archipelago) depend on both the rate of extirpation per island and on the rate of dispersal between islands within the archipelago. In particular, local diversity increases with increased dispersal and heterogeneity between islands, but regional diversity declines because the islands become biotically similar and local one-island and few-island species are excluded (homogenisation, or reduced beta diversity). This mirrors changes observed empirically: real islands have gained species (increased local and island-scale community diversity) with increased human-assisted transfers of species, but global diversity has declined with the loss of endemic species. However, biological invasions may be self-limiting. High-dispersal, high local-diversity model communities become resistant to subsequent invasions, generating robust species-community networks unless dispersal is extremely high. A mixed-up world is likely to lose many species, but the resulting ecological communities may nonetheless be relatively robust.

Evaluating global interest in biodiversity and conservation.

The first target of the Convention for Biological Diversity (Aichi target 1) was to increase public awareness of the values of biodiversity and actions needed to conserve it-a key prerequisite for other conservation targets. Monitoring success in achieving this target at a global scale has been difficult; however, increased digitization of human life in recent decades has made it easier to measure people's interests at an unprecedented scale and allows for a more comprehensive evaluation of Aichi target 1 than previously attempted. We used Google search volume data for over a thousand search terms related to different aspects of biodiversity and conservation to evaluate global interest in biodiversity and its conservation. We also investigated the correlation of interest in biodiversity and conservation across countries to variables related to biodiversity, economy, demography, research, education, internet use, and presence of environmental organizations. From 2013 to 2020, global searches for biodiversity components increased, driven mostly by searches for charismatic fauna (59% of searches were for mammal species). Searches for conservation actions, driven mostly by searches for national parks, decreased since 2019, likely due to the COVID-19 pandemic. Economic inequality was negatively correlated with interest in biodiversity and conservation, whereas purchasing power was indirectly positively correlated with higher levels of education and research. Our results suggest partial success toward achieving Aichi target 1 in that interest in biodiversity increased widely, but not for conservation. We suggest that increased outreach and education efforts aimed at neglected aspects of biodiversity and conservation are still needed. Popular topics in biodiversity and conservation could be leveraged to increase awareness of other topics with attention to local socioeconomic contexts.

Key Factors Strengthening Residents’ Psychological Well-Being and Critical Human-Nature Connections within the Living Spaces—An Example from Beijing

Background: Residential green spaces and the co-inhabiting bird communities provide critical cultural ecosystem services for urban dwellers, which is critical for citizens’ psychological well-being but has largely been overlooked, especially in China. This study attempted to delineate the relationship between human-nature interactions occurring at different scenarios in the health deriving procedure, and identify the key factors influencing urban residents’ psychological well-being and the potential critical human-nature connections within their living spaces. Methods: Bird, plant, and social surveys were sequentially conducted. A model selection procedure based on AICc information was used to find the key factors that are responsible for residents’ psychological well-being, and logistic regression analysis was conducted to figure out the key drivers for the occurrence of critical within-living-space human-nature connections. Results: Most of the respondents are aware of the neighborhood biodiversity and most of them are fond of it, and respondents who prefer fauna over flora have a considerably lower depression degree. Watching birds is the only critical within-living-space nature-related activity that is responsible for residents’ psychological well-being. Both residents’ psychological well-being and bird watching activity were simultaneously affected by nature-related activities within and outside the living spaces, while their preference for different aspects of biodiversity and their capability in perceiving them were also important, despite the difference in exact parameters. In addition, personal attributes such as age, financial income, and physical or mental health status also contribute to psychological well-being. Conclusions: This study successfully bridged citizens’ minds with health products, and the major contribution was the demonstration of a spatial-scale-oriented circuit for people-nature connections, which contributes to the practical application of nature-based therapy.

Acoustic indices estimate breeding bird species richness with daily and seasonally variable effectiveness in lowland temperate Białowieża forest

Acoustic indices have been proposed as rapid and easy to apply tool for biodiversity estimation of vocalising animals without the need for individual species identification. However, inconclusive, or even opposite dependencies between acoustic indices and animal biodiversity found in various studies suggest that their effectiveness is environmentally variable.Here we examined how three acoustic indices: Bioacoustic Index (BI), Acoustic Complexity Index (ACI) and Acoustic Diversity Index (ADI) predict bird species richness in a species-rich, lowland temperate forest in Europe – the Białowieża Forest. We recorded soundscape in early and late spring at 84 recording points. We analysed 72 1-min sound samples collected per recording point to evaluate how well acoustic indices predict bird species richness from the perspective of a single sound sample, survey and recording point and how they follow the daily pattern of singing activity.When we compared the values of acoustic indices with the number of bird species detected manually in 1-min sound samples, we found BI to best predict the bird species richness, independently of time in the season but variably across the day, while ACI and ADI showed weaker dependency, variable both seasonally and daily. The correlation between each index and number of bird species was stronger in the early part of the season. Averaged by survey or recording point, the acoustic indices correlated more strongly with the mean compared to the total bird species richness, and provided better estimation of bird biodiversity in the early than the late survey. At the level of the recording point, BI correlated most strongly with mean bird species richness (rho = 0.584), while ADI correlated most strongly with total bird species richness (rho = -0.347). Acoustic indices followed daily bird activity pattern, yet they provided greater values before the peak of the species richness estimated by manual spectrogram scanning and listening to recordings.In this study acoustic indices correlated moderately to strongly with the bird species richness, providing a useful tool for rapid estimation of bird biodiversity in temperate forests. However, daily and seasonal variation in effectiveness of acoustic indices should be taken into account in the analysis. Using the mean instead of the total number of bird species in comparisons improved the effectiveness of indices but measured different aspects of biodiversity.

Perennial herb diversity contributes more than annual herb diversity to multifunctionality in dryland ecosystems of North-western China.

Considerable attention has been given to how different aspects of biodiversity sustain ecosystem functions. Herbs are a critical component of the plant community of dryland ecosystems, but the importance of different life form groups of herbs is often overlooked in experiments on biodiversity-ecosystem multifunctionality. Hence, little is known about how the multiple attributes of diversity of different life form groups of herbs affect changes to the multifunctionality of ecosystems. We investigated geographic patterns of herb diversity and ecosystem multifunctionality along a precipitation gradient of 2100km in Northwest China, and assessed the taxonomic, phylogenetic and functional attributes of different life form groups of herbs on the multifunctionality. We found that subordinate (richness effect) species of annual herbs and dominant (mass ratio effect) species of perennial herbs were crucial for driving multifunctionality. Most importantly, the multiple attributes (taxonomic, phylogenetic and functional) of herb diversity enhanced the multifunctionality. The functional diversity of herbs provided greater explanatory power than did taxonomic and phylogenetic diversity. In addition, the multiple attribute diversity of perennial herbs contributed more than annual herbs to multifunctionality. Our findings provide insights into previously neglected mechanisms by which the diversity of different life form groups of herbs affect ecosystem multifunctionality. These results provide a comprehensive understanding of the relationship between biodiversity and multifunctionality, and will ultimately contribute to multifunctional conservation and restoration programs in dryland ecosystems.

Safeguarding eucalypt diversity through conservation‐focused tree planting

Abstract The UN decade on ecosystem restoration calls for the preservation of global biodiversity. Safeguarding biological diversity is crucial for the well‐being of people and the persistence of nature. Tree planting offers a nature‐based solution to carbon abatement with significant potential to benefit biodiversity, but how well different aspects of biodiversity are captured in plantings is not well known. We assemble a database of 218 species and >80,000 observations from environmental tree plantings in Australia, and investigate how well they capture eucalypt diversity, including possible climate change effects. We compare this to hypothetical planting scenarios that maximize biodiversity benefits for species of conservation interest. Eucalypt species that are rare, endemic, evolutionarily distinct or listed in the Environment Protection and Biodiversity Act (EPBC) are prioritized. We find that environmental tree plantings are dominated by very common species likely to benefit from climate change, with less than 1% of rare or evolutionarily distinct species represented. All conservation scenarios outperform business‐as‐usual. The scenario prioritizing endemic species while considering climate change more than doubles the average extent of occurrence for species of conservation interest. It allocates four times more planting area to species of conservation interest compared to a business‐as‐usual approach and decreases weighted endemism (a favourable outcome here) by 38% on average, demonstrating the positive impact of conservation‐focused tree planting on biodiversity. Synthesis and applications. Everywhere, governments are making commitments to halt biodiversity loss. Conservation‐focused tree planting can advance our goal of safeguarding biodiversity while still contributing to carbon capture. We show that eucalypt species of conservation interest can benefit substantially from tree planting where the primary goal is biodiversity conservation, compared to the current approach to planting, which we have found largely benefits commonly occuring species. We measure potential distribution gains for eucalypt species that are rare, endemic, evolutionarily distinct and at risk of extinction (listed), and identify the most important eucalypt species to plant across Australia, taking the effects of climate change into account. Our framework for selecting species to plant based on a range of conservation goals can serve as a guide for future environmental tree planting initiatives.

Using Red List Indices to monitor extinction risk at national scales

AbstractThe Red List Index (RLI) measures change in the aggregate extinction risk of species. It is a key indicator for tracking progress toward nine of the Aichi and many proposed post‐2020 Global Biodiversity Framework Targets. Here, we consider two formulations of the RLI used for reporting biodiversity trends at national scales. Disaggregated global RLIs measure changing national contributions to global extinction risk and are currently based on five taxonomic groups, while national RLIs measure changing national extinction risk and are based on taxonomic groups assessed multiple times in country. For 74% of nations, the disaggregated global RLI is currently based on three or fewer taxonomic groups. Meanwhile, national RLIs from selected pilot countries Finland, South Africa, and Brazil are computed from twelve, eight, and nine taxonomic groups, respectively. The national RLI and the disaggregated global RLI measure different aspects of biodiversity, in that the former detects national trends in populations of species for which each country is responsible while the latter provides standardized comparisons of nations' contributions to the global extinction risk of the same species groups. As governments commit to the post‐2020 Global Biodiversity Framework, we encourage them to monitor a standard set of taxonomic groups representing different biomes using both RLI formulations to ensure effective target tracking and accurate feedback on their conservation investments.

Integrating deep-time palaeontology in conservation prioritisation

Halting biodiversity loss under growing anthropogenic pressure is arguably the greatest environmental challenge we face. Given that not all species are equally threatened and that resources are always limited, establishing robust prioritisation schemes is critical for implementing effective conservation actions. To this end, the International Union for Conservation of Nature (IUCN) Red List of Threatened Species has become a widely used source of information on species’ extinction risk. Various metrics have been proposed that combine IUCN status with different aspects of biodiversity to identify conservation priorities. However, current strategies do not take full advantage of palaeontological data, with conservation palaeobiology often focussing on the near-time fossil record (the last 2 million years). Here, we make a case for the value of the deep-time (over 2 million years ago), as it can offer tangible parallels with today’s biodiversity crisis and inform on the intrinsic traits that make species prone to extinction. As such, palaeontological data holds great predictive power, which could be harnessed to flag species likely to be threatened but that are currently too poorly known to be identified as such. Finally, we identify key IUCN-based prioritisation metrics and outline opportunities for integrating palaeontological data to validate their implementation. Although the human signal of the current extinction crisis makes direct comparisons with the geological past challenging, the deep-time fossil record has more to offer to conservation than is currently recognised.

Tree biodiversity in northern forests shows temporal stability over 35 years at different scales, levels and dimensions

Abstract At global scales, species richness is declining. However, at local scales, understanding exactly how, where and why biodiversity is changing becomes challenging since researchers have assessed biodiversity trends using different indicators, data sources and methods (e.g. repeated measurements at the same site over time vs. space‐for‐time substitutions). In this study, we present a multifaceted analysis of biodiversity change by assessing how tree diversity in Québec, Canada changed between two sampling periods (1970–1977 and 2005–2016), in regards to different: levels of diversity (alpha diversity, temporal turnover and spatial beta diversity), dimensions of diversity (taxonomic, functional and phylogenetic), metrics of diversity (presence–absence and abundance based), and spatial scales of analysis (plot, 50, 100 and 200 km). We then assess how well potential drivers of biodiversity change (climate change and land cover change) explain the observed changes in alpha diversity. Since the data came from plots that remained forested over the course of the study, we used historical land cover change data and scenario analyses to test whether results from forest plots were likely to be representative of the broader landscape. Across all levels, dimensions, metrics and spatial scales of analysis, we found either increases or no net change in diversity over time, with wide distributions of values around the mean. Presence–absence metrics often indicated increases in diversity over time, while abundance‐based metrics were more likely to show no net change. Potential drivers such as climate change and land cover change explained only a small fraction of the variation in alpha diversity change (i.e. why particular sites experienced positive vs. negative change) at the plot scale (adjusted R2 ≈ 0.03), but a greater fraction at coarser spatial scales (adjusted R2 of ~0.10 to ~0.50). Results from these forest plots are likely representative of the diversity change within the study region, since estimates of alpha diversity change only became negative under scenarios with the most extreme disturbance impacts. Synthesis. None of our indicators showed evidence of declines in alpha or beta diversity of trees in temperate and boreal forests in Quebec (except for simulations with extremely high forest loss), but we did find temporal turnover in composition. Our results go beyond previous studies by analysing the many different aspects of biodiversity that might change over time, highlighting the need to shift from blanket descriptions of ‘biodiversity loss’ to more nuanced discussions around ‘biodiversity change’.

Decoupling the impact of biodiversity and environmental factors on the biomass and biomass growth of trees in subtropical forests

Abstract The relationship between biodiversity and ecosystem functioning has become a central issue in any forest ecosystem. However, there are few studies on the interaction of environmental factors based on the history of subtropical forest disturbance. In this study, we intended to disentangle the relationship between different aspects of biodiversity and biomass or biomass change when considering the environmental factors of 34 subtropical forest plots in Zhejiang Province, eastern China. We used linear models to analyze the effects of taxonomic, functional and phylogenetic diversity at the plot level of tree biomass and its growth with or without environmental factors. Taxonomic diversity and functional diversity, rather than phylogenetic diversity, showed significant correlations with biomass and biomass growth. We further found that there was a positive linear relationship between biomass or biomass growth and mean annual temperature and altitude. In addition, the relationship between biomass growth and functional diversity was significantly stronger than the relationship between biomass growth and phylogenetic diversity or taxonomic diversity when environmental factors and stand developmental stages were considered. Our results suggested that the relationship between biodiversity and ecosystem functioning is dependent upon the selection of diversity index and environmental conditions.

Monitoring the abundance of saproxylic red-listed species in a managed beech forest by landsat temporal metrics

Rapid climate changes lead to an increase in forest disturbance, which in turn lead to growing concerns for biodiversity. While saproxylic beetles are relevant indicators for studying different aspects of biodiversity, most are smaller than 2 ​mm and difficult to sample. This, together with a high number of species and trophic roles, make their study remarkably challenging, time-consuming, and expensive. The Landsat mission provides data since 1984 and represents a powerful tool in this scenario. While we believe that remote sensing data cannot replace on-site sampling and analysis, in this study we aim to prove that the Landsat Time Series (TS) may support the identification of insects’ hotspots and consequently guide the selection of areas where to concentrate field analysis. With this aim, we constructed a Landsat-derived NDVI TS (1984–2020) and we summarised the NDVI trend over time by calculating eight Temporal Metrics (TMs) among which four resulted particularly successful in predicting the amount of saproxylic insects: (i) the slope of the regression line obtained by linear interpolating the NDVI values over time; (ii) the Root Mean Square Error (RMSE) between the regression line and the NDVI TS; (iii) the median , and the (iv) minimum values of the NDVI TS. The study area consists of four monitoring sectors in a Mediterranean-managed beech forest located in the Apennines (Molise, Italy), where 60 window flight traps for flying beetles were installed. First, the saproxylic beetle's biodiversities of monitoring sectors were quantified in terms of species richness and alpha-diversity. Second, the capability of TMs in predicting the richness of saproxylic beetles family and trophic categories was assessed in terms of Pearson's product-moment correlation. The alpha diversity and species richness analysis indicate dissimilarities across the four monitored sectors (Shannon and Simpson's index ranging between 0.67 to 2.31 and 0.69 to 0.88, respectively), with Landsat TS resulting in effective predictors for estimating saproxylic beetle richness. The strongest correlation was reached between the Monotomidae family and the RMSE temporal metric ( R ​= ​0.66). The mean absolute correlation ( r ) between the NDVI TMs and the saproxylic community was 0.46 for Monotomidae, 0.31 for Cerambycidae, and 0.25 for Curculionidae. Our results suggest that Landsat TS has important implications for studying saproxylic beetle distribution and, by helping the selection of monitoring areas, increasing the amount of information acquired while decreasing the effort required for field analysis.

Evaluation of spatial and temporal variability of multiple measures of diversity in three intertidal assemblages

Estimates of biodiversity in species assemblages are important in prioritizing conservation efforts, especially in urbanized habitats. Many indices have been developed to measure different aspects of biodiversity. The most commonly used, species richness (SR), is measured directly or estimated from samples. Species density (SD), or the mean number of species per sample, also describes species richness, although the 2 indices measure different aspects of diversity. The proportions of rare and common species and the heterogeneity of an assemblage measure different components of biodiversity. Few studies have examined spatial and temporal patterns of diversity for multiple measures of diversity for different assemblages living in the same patches of habitat. Here, SR, SD, the percentages of rare and common taxa, spatial heterogeneity of assemblages within sites and site-endemism were compared among 3 assemblages living on intertidal boulders in summer and winter for 2 years at 6 sites. The assemblages were algae, mainly found on the tops of boulders, sessile animals, mainly found on the undersurfaces of boulders, and mobile animals, which move between surfaces and among boulders. Temporal and spatial patterns varied inconsistently among all measures for the different assemblages, although most temporal changes were common among sites. Importantly, algae, sessile animals and mobile animals, which may be considered to constitute a single intertidal-boulder assemblage, showed different spatial and temporal patterns for all indices. Thus, when making decisions about protecting or managing biodiversity, it is important to examine not only multiple indices that relate to diversity, but also different components of an assemblage.

Testing the Height Variation Hypothesis with the R rasterdiv Package for Tree Species Diversity Estimation

Forest biodiversity is a key element to support ecosystem functions. Measuring biodiversity is a necessary step to identify critical issues and to choose interventions to be applied in order to protect it. Remote sensing provides consistent quality and standardized data, which can be used to estimate different aspects of biodiversity. The Height Variation Hypothesis (HVH) represents an indirect method for estimating species diversity in forest ecosystems from the LiDAR data, and it assumes that the higher the variation in tree height (height heterogeneity, HH), calculated through the ’Canopy Height Model’ (CHM) metric, the more complex the overall structure of the forest and the higher the tree species diversity. To date, the HVH has been tested exclusively with CHM data, assessing the HH only with a single heterogeneity index (the Rao’s Q index) without making use of any moving windows (MW) approach. In this study, the HVH has been tested in an alpine coniferous forest situated in the municipality of San Genesio/Jenesien (eastern Italian Alps) at 1100 m, characterized by the presence of 11 different tree species (mainly Pinus sylvestris, Larix decidua, Picea abies followed by Betula alba and Corylus avellana). The HH has been estimated through different heterogeneity measures described in the new R rasterdiv package using, besides the CHM, also other LiDAR metrics (as the percentile or the standard deviation of the height distribution) at various spatial resolutions and MWs (ALS LiDAR data with mean point cloud density of 2.9 point/m2). For each combination of parameters, and for all the considered plots, linear regressions between the Shannon’s H′ (used as tree species diversity index based on field data) and the HH have been derived. The results showed that the Rao’s Q index (singularly and through a multidimensional approach) performed generally better than the other heterogeneity indices in the assessment of the HH. The CHM and the LiDAR metrics related to the upper quantile point cloud distribution at fine resolution (2.5 m, 5 m) have shown the most important results for the assessment of the HH. The size of the used MW did not influence the general outcomes but instead, it increased when compared to the results found in the literature, where the HVH was tested without MW approach. The outcomes of this study underline that the HVH, calculated with certain heterogeneity indices and LiDAR data, can be considered a useful tool for assessing tree species diversity in considered forest ecosystems. The general results highlight the strength and importance of LiDAR data in assessing the height heterogeneity and the related biodiversity in forest ecosystems.

Branches of plant blindness and their relationship with biodiversity conceptualisation among secondary students

ABSTRACT Although citizenship’s literacy in biodiversity is a promising way of confronting its loss, the unawareness about this topic is generalised particularly regarding plants. The latter phenomenon, named Plant Blindness (PB), not only refers to the inability to notice and identify the surrounding plants, but also to the lack of knowledge about the basics of plant biology and to the subsequent ignorance of the value of plants. Hence, the aim of this research has been to assess whether secondary students experience PB and to analyse if this phenomenon can be interrelated with their conceptualisation and attitudes towards biodiversity. For this purpose, 63 secondary students took a mixed closed- and open-ended questionnaire on different aspects of biodiversity and plant biology. The results revealed that, despite conceptualisation of biodiversity and plant literacy increased during secondary education, most students presented PB ‘symptoms’. Moreover, some of the dimensions studied were interrelated, such as comprehension of biodiversity and different aspects of plant knowledge. Therefore, these results indicate that PB has multiple branches which are not only related to plant topics sensu stricto, but also include biodiversity; which can provide novel insights into the appropriate approach to the plant blindness issue from an educational perspective.

Functional diversity, functional composition and functional β diversity drive aboveground biomass across different bioclimatic rangelands

There has been a growing interest in understanding how biodiversity affects the functioning of ecosystems, while, it is still unclear how and to what extent different aspects of biodiversity are related to ecosystems function. We tested the relationship between aboveground biomass (AGB) and various aspects of functional diversity (functional richness (FRic), functional evenness (FEve) and functional divergence (FDiv)), functional β diversity and functional composition. Our study areas were located in four different bioclimatic regions including desert-steppe, steppe, semi-steppe, and Mediterranean rangelands extending along a productivity gradient created by the elevational-rainfall variations in the central Zagros Mountains of Iran.The results showed that FDiv positively predicted AGB in more productive (i.e., Mediterranean) and negatively in less productive rangelands of desert-steppe, steppe and semi-steppe. Functional β diversity predicted AGB only in more productive regions in semi-steppe and Mediterranean rangelands. Functional β diversity decomposed into turnover and nestedness, with turnover being more important in more productive and nestedness being more important in less productive ecosystems. The results also showed that the effects of FD and functional β diversity on AGB are generally directed by animal grazing through homogenizing community-wide trait composition in less productive ecosystems and inducing shifting mosaics across locations in more productive ecosystem.The results indicate that different components of FD were significantly related to AGB and the strength and direction of these effects vary with the different components studied and the bioclimatic regions under the study. In higher productive ecosystems, both functional diversity and functional β diversity are likely to contribute more to AGB through the complementary use of the resources. In less productive ecosystems, however, the functional identity of dominant species and traits would drive AGB.

The relevance of ecoregions and mountainous environments in the diversity and endemism of land gastropods

Twenty-five sub-ecoregions make Argentina from southern South America a favored area to study the mutual correspondence between environments and biodiversity. Unfortunately, efforts devoted to study these environments are unbalanced, with the subtropical dry forests less studied than the tropical and subtropical humid ones. Since the limits of ecoregions are based on vegetation criteria, land gastropods represent an independent source of information to test the relevance of sub-ecoregions in different aspects of biodiversity. We ask if land gastropods mirror these traditional diversity patterns when their distributions are framed in the context of sub-ecoregions. Additionally, we want to test if short-range endemic species (SRE) are randomly scattered across the sub-ecoregions. We first built an updated taxonomic checklist and mapped all the valid records compiled to date. Taxonomic richness, taxonomic diversity, and beta-diversity between sub-ecoregions were calculated. We obtained a hierarchical grouping of sub-ecoregions and the respective list of species that significantly support each cluster. We also developed two new analytical resources: a radial plot for showing the species composition of clusters resolved at three taxonomic levels, and a mixed coefficient of distributional size useful to identify SRE from sparse point records. This dimensionless measure of spatial range combines information of both the convex hull area and the length of the minimum spanning tree connecting point localities of presence. The Southern Andean Yungas and Dry Chaco are the species-level richest ecoregions. Although the Paranaense Forest harbors half of the number of species found in the Chaco Serrano, it reaches the highest score of taxonomic diversity because of the eclectic nature of their genera. SRE species are not randomly distributed across the sub-ecoregions, but they broadly overlap with the orographic Peripampasic arc extended over Chaco Serrano and Yungas Forests. SREs are highly dependent on the physical nature of the landscape.

Pattern formations driven by cyclic interactions: A brief review of recent developments

Lotka's seminal work (Lotka A. J., Proc. Natl. Acad. Sci. U.S.A., 6 (1920) 410) “on certain rhythmic relations” is already one hundred years old, but the research activity about pattern formations due to cyclical dominance is more vibrant than ever. It is because non-transitive interactions have a paramount role on maintaining biodiversity and adequate human intervention into ecological systems requires a deeper understanding of the related dynamical processes. In this Perspective we overview different aspects of biodiversity, with focus on how it can be maintained based on mathematical modeling of the last years. We also briefly discuss the potential links to evolutionary game models of social systems, and finally, give an overview about potential prospects for future research.

A simple biodiversity assessment scheme supporting nature-friendly farm management

Abstract Farmers are important actors for regional development and biodiversity protection. Agri-environment-climate measures (AECM) are therefore a central tool of the European Union to support its biodiversity conservation policy. AECM generally reward farmers for fulfilling predefined management actions or avoiding specific practices. In contrast, result oriented AECM are intended to reward farmers for the outcome of nature friendly management practices. This approach gives more flexibility in management and hence promotes farmers engagement and autonomy. Besides educational activities and agricultural advisory services farmers need user friendly tools to assess biodiversity in order to meet result oriented AECM. Thus, we present a biodiversity assessment scheme for farmland using a set of indicators, which covers different aspects of biodiversity (flower colour index, butterfly abundance, landscape structuring degree, patch diversity index, aggregated biodiversity index) and can be applied at different spatial scales. The assessment scheme is applied on 44 farms in five countries (France, Switzerland, Germany, Italy, and Austria). To evaluate its appropriateness the relationship between the indicators and land-use intensity and plant species richness is investigated. Grasslands with low land-use intensity are more colourful grasslands, have significantly more butterflies and a higher aggregated biodiversity index than moderately and intensively used grasslands. The influence of management intensity on the landscape structuring degree is not significant. All indicators correlate with plant species richness at all spatial scales. The proposed assessment scheme serves as a tool for the detection of differences in biodiversity resulting from land-use practices, and can assist the monitoring of ROMs.