13 results on '"Heino, Jani"'
Search Results
2. Analysing spatio‐temporal patterns of non‐native fish in a biodiversity hotspot across decades.
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Wang, Jie, Ding, Chengzhi, Heino, Jani, Ding, Liuyong, Chen, Jinnan, He, Dekui, and Tao, Juan
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GEOLOGIC hot spots ,NUMBERS of species ,PLANT invasions ,ECOSYSTEMS ,BIODIVERSITY ,INTRODUCED species ,NATIVE fishes ,BIOLOGICAL invasions - Abstract
Aim: Analysing the spatio‐temporal patterns and dynamics of non‐native species is essential to understanding the mechanisms underlying successful invasions and developing effective management strategies. Yet, such analyses generally neglect the influence of receiving ecosystem types and non‐native species sources (i.e. alien species, non‐natives originating outside the concerned region; translocated species, non‐natives introduced to locations outside their historical range within the concerned region). Location: Yunnan, China. Methods: We analysed long‐term (1950–2022) spatio‐temporal patterns and potential underlying dynamics of non‐native fishes in a biodiversity hotspot (Yunnan, China), paying special attention to waterbody types receiving non‐native species and comparing alien and translocated species. We did this through compiling a highly comprehensive occurrence dataset of native and non‐native fishes. Results: We recorded 783 native species and 94 non‐native species (49 alien species and 45 translocated species), which mainly belonged to the order Cypriniformes (52 species) and were introduced via purposes for advancing aquaculture. Most frequently encountered non‐native species were either intentionally introduced aquaculture species or small‐bodied fish unintentionally introduced via aquaculture activities. The richness and spatial ranges of non‐native fishes increased consistently since the 1950s and demonstrated a pronounced change after the 2000s, with densely populated areas and the middle to lower reaches of large rivers being more profoundly affected. The number of records of translocated species exceeded the number of records of alien species after the 2000s. Lakes and reservoirs are hotspots for both alien and translocated species introductions, and watersheds with large areas in Yunnan (e.g. the Jinsha‐Yangtze and Lancang‐Mekong basins) contained more non‐native fish. Main Conclusions: Our study highlights the need to consider invasion sensitivities of receiving ecosystems and pay special attention to intra‐regional species translocations when developing prevention and management strategies against invasions of alien species, particularly in important biodiversity hotspots around the world. [ABSTRACT FROM AUTHOR]
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- 2023
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3. Biotic homogenisation and differentiation as directional change in beta diversity: synthesising driver–response relationships to develop conceptual models across ecosystems.
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Rolls, Robert J., Deane, David C., Johnson, Sarah E., Heino, Jani, Anderson, Marti J., and Ellingsen, Kari E.
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CONCEPTUAL models ,HABITAT modification ,ECOSYSTEMS ,BIOLOGICAL extinction ,SPECIES diversity ,ENVIRONMENTAL protection - Abstract
Biotic homogenisation is defined as decreasing dissimilarity among ecological assemblages sampled within a given spatial area over time. Biotic differentiation, in turn, is defined as increasing dissimilarity over time. Overall, changes in the spatial dissimilarities among assemblages (termed 'beta diversity') is an increasingly recognised feature of broader biodiversity change in the Anthropocene. Empirical evidence of biotic homogenisation and biotic differentiation remains scattered across different ecosystems. Most meta‐analyses quantify the prevalence and direction of change in beta diversity, rather than attempting to identify underlying ecological drivers of such changes. By conceptualising the mechanisms that contribute to decreasing or increasing dissimilarity in the composition of ecological assemblages across space, environmental managers and conservation practitioners can make informed decisions about what interventions may be required to sustain biodiversity and can predict potential biodiversity outcomes of future disturbances. We systematically reviewed and synthesised published empirical evidence for ecological drivers of biotic homogenisation and differentiation across terrestrial, marine, and freshwater realms to derive conceptual models that explain changes in spatial beta diversity. We pursued five key themes in our review: (i) temporal environmental change; (ii) disturbance regime; (iii) connectivity alteration and species redistribution; (iv) habitat change; and (v) biotic and trophic interactions. Our first conceptual model highlights how biotic homogenisation and differentiation can occur as a function of changes in local (alpha) diversity or regional (gamma) diversity, independently of species invasions and losses due to changes in species occurrence among assemblages. Second, the direction and magnitude of change in beta diversity depends on the interaction between spatial variation (patchiness) and temporal variation (synchronicity) of disturbance events. Third, in the context of connectivity and species redistribution, divergent beta diversity outcomes occur as different species have different dispersal characteristics, and the magnitude of beta diversity change associated with species invasions also depends strongly on alpha and gamma diversity prior to species invasion. Fourth, beta diversity is positively linked with spatial environmental variability, such that biotic homogenisation and differentiation occur when environmental heterogeneity decreases or increases, respectively. Fifth, species interactions can influence beta diversity via habitat modification, disease, consumption (trophic dynamics), competition, and by altering ecosystem productivity. Our synthesis highlights the multitude of mechanisms that cause assemblages to be more or less spatially similar in composition (taxonomically, functionally, phylogenetically) through time. We consider that future studies should aim to enhance our collective understanding of ecological systems by clarifying the underlying mechanisms driving homogenisation or differentiation, rather than focusing only on reporting the prevalence and direction of change in beta diversity, per se. [ABSTRACT FROM AUTHOR]
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- 2023
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4. Quantifying alpha, beta and gamma geodiversity.
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Tukiainen, Helena, Maliniemi, Tuija, Alahuhta, Janne, Hjort, Jan, Lindholm, Marja, Salminen, Henriikka, Snåre, Henna, Toivanen, Maija, Vilmi, Annika, and Heino, Jani
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GEODIVERSITY ,ENVIRONMENTAL sciences ,EARTH sciences ,SUSTAINABLE development ,ACQUISITION of data ,NATURE conservation - Abstract
Geodiversity is an emerging, multi-faceted concept in Earth and environmental sciences. Knowledge on geo-diversity is crucial for understanding functions of natural systems and in guiding sustainable development. Despite the critical nature of geodiversity information, data acquisition and analytical methods have lagged behind the conceptual developments in biosciences. Thus, we propose that geodiversity research could adopt the framework of alpha, beta and gamma concepts widely used in biodiversity research. Especially, geodiversity research would benefit from widening its scope from the evaluation of individual sites towards more holistic geodiversity assessments, where between-site geodiversity is also considered. In this article, we explore the alpha, beta and gamma concepts and how they can be applied in a geodiversity framework. In addition, we scrutinize the statistical methodology related to alpha, beta and gamma geodiversity evaluations, with a special focus on distance metrics for measuring beta geodiversity. As an overview of the process, and to give practical guidelines for the application of the proposed methodology, we present a case study from a UNESCO Global Geopark area. Thus, this study not only develops the geodiversity concept, but also paves the way for simultaneous understanding of both geodiversity and biodiversity within a unified conceptual approach. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Disturbance‐driven alteration of patch connectivity determines local biodiversity recovery within metacommunities.
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Jacquet, Claire, Munoz, François, Bonada, Núria, Datry, Thibault, Heino, Jani, and Jabot, Franck
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ECOSYSTEMS ,COMMUNITIES ,ECOLOGICAL carrying capacity ,AQUATIC organisms ,SPECIES diversity ,BIODIVERSITY - Abstract
Understanding the capacity of ecological systems to withstand and recover from disturbances is a major challenge for ecological research in the context of environmental changes. Past research has mostly focused on the local effects of disturbances on biodiversity recovery, while alterations of inter‐patch connectivity induced by disturbances have received comparatively less attention. Here, we investigated the effect of disturbances on local biodiversity recovery within metacommunities. Our specific focus was on drying river networks, which are characterised by a high variability of patch connectivity. We found marked variations of local biodiversity recovery among sites and among groups of organisms with contrasting dispersal modes, which were explained by the amount of patch connectivity loss due to drying events. Local communities of flying organisms recovered more efficiently from drying events than organisms with strictly aquatic dispersal due to the capacity of the former group to overcome hydrological connectivity loss. As a general rule, loss of patch connectivity decreases community recovery, regardless of patch location in the river network, dispersal mode or drying spatial extent. The relationship between patch connectivity loss and community recovery we found in river networks is general and applicable to any spatial network with a high variability of patch connectivity. [ABSTRACT FROM AUTHOR]
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- 2022
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6. Importance of local and landscape variables on multiple facets of stream fish biodiversity in a Neotropical agroecosystem.
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Roa-Fuentes, Camilo A., Heino, Jani, Zeni, Jaquelini O., Ferraz, Silvio, Cianciaruso, Marcus V., and Casatti, Lilian
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FRESHWATER fishes , *ECOLOGICAL integrity , *RIPARIAN forests , *LANDSCAPES , *WATERSHEDS , *STREAM restoration , *ANESTHETICS , *BIODIVERSITY - Abstract
Few studies have considered the effects of environmental variables at different spatial scales on Neotropical stream biodiversity. Furthermore, scale-related studies mostly include only one facet of biodiversity. To determine the contribution of local and landscape variables to the variation in the taxonomic, functional and phylogenetic α-diversity of stream fish assemblages, we sampled 85 streams in the Upper Paraná River basin, Brazil. Local variables explained a substantial fraction of the variance in almost all biodiversity facets. Landscape variables (i.e., land-use and spatial variables) contributed little to the variation in the α-component of biodiversity. Our results thus highlight the importance of local features for maintaining stream fish biodiversity in agroecosystems. Probably, land-use were not significant because the study area was in a relatively homogeneous landscape severely impacted by anthropogenic activities. It is possible that insignificant effects of spatial structuring occurred because the ichthyofauna has already gone through a homogenization process and/or due to the spatial scale of our study. We suggest that even though local-scale restoration actions would influence biodiversity, we should not neglect landscape restoration because substantial improvements in the ecological integrity of streams are more likely to be accomplished with large-scale actions (e.g., re-establishment of the native riparian forest). [ABSTRACT FROM AUTHOR]
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- 2022
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7. Assessing the conservation priority of freshwater lake sites based on taxonomic, functional and environmental uniqueness.
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Heino, Jani, García Girón, Jorge, Hämäläinen, Heikki, Hellsten, Seppo, Ilmonen, Jari, Karjalainen, Juha, Mäkinen, Teemu, Nyholm, Kristiina, Ropponen, Janne, Takolander, Antti, and Tolonen, Kimmo T.
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LAKES , *ECOSYSTEM management , *NATURE conservation , *MACROPHYTES - Abstract
Aim: We propose a novel approach that considers taxonomic uniqueness, functional uniqueness and environmental uniqueness and show how it can be used in guiding conservation planning. We illustrate the approach using data for lake biota and environment. Location: Lake Puruvesi, Finland. Methods: We sampled macrophytes and macroinvertebrates from the same 18 littoral sites. By adapting the original "ecological uniqueness" approach, we used distance‐based methods to calculate measures of taxonomic (LCBD–t), functional (LCBD–f) and environmental (LCEH) uniqueness for each site. We also considered the numbers and locations of the sites needed to protect up to 70% of total variation in taxonomic, functional or environmental features in the studied part of the lake. Results: Relationships between taxonomic (LCBD–t), functional (LCBD–f) and environmental (LCEH) uniqueness were generally weak, and only the relationship between macrophyte LCBD–t and LCBD–f was statistically significant. Overall, however, if the whole biotic dataset was considered, macroinvertebrate LCBD–f values showed a consistent positive relationship with macrophyte LCBD–f. Depending on the measure of site uniqueness, between one‐third to one half of the sites could help protect up to 70% of the ecological uniqueness of the studied part of Lake Puruvesi. Main conclusions: Although the dataset examined originated from a large lake system, the approach we proposed here can be applied in different ecosystems and at various spatial scales. An important consideration is that a set of sites has been sampled using the same methods, resulting in species and environmental matrices that can be analysed using the methodological approach proposed here. This framework can be easily applied to grid‐based data, sets of islands or sets of forest fragments. We suggest that the approach based on taxonomic, functional and environmental uniqueness will be a useful tool in guiding nature conservation and ecosystem management, especially if associated with meta‐system ideas or network thinking. [ABSTRACT FROM AUTHOR]
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- 2022
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8. Ecological correlates of riverine diatom and macroinvertebrate alpha and beta diversity across Arctic Fennoscandia.
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Brittain, John E., Heino, Jani, Friberg, Nikolai, Aroviita, Jukka, Kahlert, Maria, Karjalainen, Satu‐Maaria, Keck, François, Lento, Jennifer, Liljaniemi, Petri, Mykrä, Heikki, Schneider, Susanne C., and Ylikörkkö, Jukka
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WATERSHEDS , *DIATOMS , *TUNDRAS , *BIODIVERSITY monitoring , *BOTANY , *BIOTIC communities - Abstract
Arctic freshwaters support biota adapted to the harsh conditions at these latitudes, but the climate is changing rapidly and so are the underlying environmental filters. Currently, we have limited understanding of broad‐scale patterns of Arctic riverine biodiversity and the correlates of α‐ and β‐diversity.Using information from a database set up within the scope of the Arctic Council's Conservation of Arctic Flora and Fauna Circumpolar Biodiversity Monitoring Plan, we analysed patterns and correlates of α‐ and β‐diversity in benthic diatom and macroinvertebrate communities across northern Norway, Sweden, and Finland. We analysed variation in total β‐diversity and its replacement and richness difference components in relation to location of the river reach and its drainage basin (Baltic Sea in the south, the Barents Sea in the east and the north, and the Norwegian Sea in the west), in addition to climate and environmental variables.In both macroinvertebrates and diatoms, the replacement and richness difference components showed wide variation. For macroinvertebrates, the richness difference component was the more important, whereas for diatoms, the replacement component was the more important in contributing to variation in β‐diversity. There was no significant difference in β‐diversity between the three main drainage basins, but species composition differed among the drainage basins.Based on the richness difference component of β‐diversity, climate variables were most strongly associated with community variation in macroinvertebrates. In diatoms, both environmental and climate variables were strongly correlated with community compositional variation. In both groups, there were also significant differences in α‐diversity among the three main drainage basins, and several taxa were significant indicators of one of these drainage basins. Alpha diversity was greater in areas with a continental climate, while the oceanic areas in the west harboured greatly reduced flora and fauna.The correlates of biodiversity were relatively similar in macroinvertebrates and diatoms. Climate variables, in particular temperature, were the most strongly associated with biodiversity patterns in the Arctic rivers of Fennoscandia. Sedimentary geology may be associated with increased productivity and, to a lesser extent, with sensitivity to acidification. There was considerable variation in community composition across Arctic Fennoscandia, indicating the necessity of protecting several stream reaches or even whole catchments within each region to conserve total riverine biodiversity. Furthermore, it is likely that the predicted changes in temperature in Arctic areas will influence riverine diversity patterns across Fennoscandia. [ABSTRACT FROM AUTHOR]
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- 2022
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9. Multitrophic biodiversity patterns and environmental descriptors of sub‐Arctic lakes in northern Europe.
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Lau, Danny C. P., Christoffersen, Kirsten S., Erkinaro, Jaakko, Hayden, Brian, Heino, Jani, Hellsten, Seppo, Holmgren, Kerstin, Kahilainen, Kimmo K., Kahlert, Maria, Karjalainen, Satu Maaria, Karlsson, Jan, Forsström, Laura, Lento, Jennifer, Mjelde, Marit, Ruuhijärvi, Jukka, Sandøy, Steinar, Schartau, Ann Kristin, Svenning, Martin‐A., Vrede, Tobias, and Goedkoop, Willem
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DIATOMS ,MACROPHYTES ,BIODIVERSITY ,LAKES ,FISH diversity ,BIODIVERSITY monitoring ,FOOD chains ,LAKE management - Abstract
Arctic and sub‐Arctic lakes in northern Europe are increasingly threatened by climate change, which can affect their biodiversity directly by shifting thermal and hydrological regimes, and indirectly by altering landscape processes and catchment vegetation. Most previous studies of northern lake biodiversity responses to environmental changes have focused on only a single organismal group. Investigations at whole‐lake scales that integrate different habitats and trophic levels are currently rare, but highly necessary for future lake monitoring and management.We analysed spatial biodiversity patterns of 74 sub‐Arctic lakes in Norway, Sweden, Finland, and the Faroe Islands with monitoring data for at least three biological focal ecosystem components (FECs)—benthic diatoms, macrophytes, phytoplankton, littoral benthic macroinvertebrates, zooplankton, and fish—that covered both pelagic and benthic habitats and multiple trophic levels.We calculated the richnessrelative (i.e. taxon richness of a FEC in the lake divided by the total richness of that FEC in all 74 lakes) and the biodiversity metrics (i.e. taxon richness, inverse Simpson index (diversity), and taxon evenness) of individual FECs using presence–absence and abundance data, respectively. We then investigated whether the FEC richnessrelative and biodiversity metrics were correlated with lake abiotic and geospatial variables. We hypothesised that (1) individual FECs would be more diverse in a warmer and wetter climate (e.g. at lower latitudes and/or elevations), and in hydrobasins with greater forest cover that could enhance the supply of terrestrial organic matter and nutrients that stimulated lake productivity; and (2) patterns in FEC responses would be coupled among trophic levels.Results from redundancy analyses showed that the richnessrelative of phytoplankton, macrophytes, and fish decreased, but those of the intermediate trophic levels (i.e. macroinvertebrates and zooplankton) increased with decreasing latitude and/or elevation. Fish richnessrelative and diversity increased with increasing temporal variation in climate (temperature and/or precipitation), ambient nutrient concentrations (e.g. total nitrogen) in lakes, and woody vegetation (e.g. taiga forest) cover in hydrobasins, whereas taxon richness of macroinvertebrates and zooplankton decreased with increasing temporal variation in climate.The similar patterns detected for richnessrelative of fish, macrophytes, and phytoplankton could be caused by similar responses to the environmental descriptors, and/or the beneficial effects of macrophytes as habitat structure. By creating habitat, macrophytes may increase fish diversity and production, which in turn may promote higher densities and probably more diverse assemblages of phytoplankton through trophic cascades. Lakes with greater fish richnessrelative tended to have greater average richnessrelative among FECs, suggesting that fish are a potential indicator for overall lake biodiversity.Overall, the biodiversity patterns observed along the environmental gradients were trophic‐level specific, indicating that an integrated food‐web perspective may lead to a more holistic understanding of ecosystem biodiversity in future monitoring and management of high‐latitude lakes. In future, monitoring should also focus on collecting more abundance data for fish and lower trophic levels in both benthic and pelagic habitats. This may require more concentrated sampling effort on fewer lakes at smaller spatial scales, while continuing to sample lakes distributed along environmental gradients. [ABSTRACT FROM AUTHOR]
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- 2022
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10. Securing Biodiversity, Functional Integrity, and Ecosystem Services in Drying River Networks (DRYvER).
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Datry, Thibault, Allen, Daniel, Argelich, Roger, Barquin, Jose, Bonada, Nuria, Boulton, Andrew, Branger, Flora, Yongjiu Cai, Cañedo-Argüelles, Miguel, Cid, Núria, Csabai, Zoltán, Dallimer, Martin, Carlos de Araújo, José, Declerck, Steven, Dekker, Thijs, Döll, Petra, Encalada, Andrea, Forcellini, Maxence, Foulquier, Arnaud, and Heino, Jani
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BIODIVERSITY ,FUNCTIONAL integration ,ECOSYSTEM services ,ECOSYSTEM management ,CLIMATE change - Abstract
River networks are among Earth's most threatened hot-spots of biodiversity and provide key ecosystem services (e.g., supply drinking water and food, climate regulation) essential to sustaining human well-being. Climate change and increased human water use are causing more rivers and streams to dry, with devastating impacts on biodiversity and ecosystem services. Currently, more than a half of the global river networks consist of drying channels, and these are expanding dramatically. However, drying river networks (DRNs) have received little attention from scientists and policy makers, and the public is unaware of their importance. Consequently, there is no effective integrated biodiversity conservation or ecosystem management strategy of DRNs. A multidisciplinary team of 25 experts from 11 countries in Europe, South America, China and the USA will build on EU efforts to assess the cascading effects of climate change on biodiversity, ecosystem functions and ecosystem services of DRNs through changes in flow regimes and water use. DRYvER (DRYing riVER networks) will gather and upscale empirical and modelling data from nine focal DRNs (case studies) in Europe (EU) and Community of Latin American and Caribbean States (CELAC) to develop a meta-system framework applicable to Europe and worldwide. It will also generate crucial knowledgebased strategies, tools and guidelines for economically-efficient adaptive management of DRNs. Working closely with stakeholders and end-users, DRYvER will co-develop strategies to mitigate and adapt to climate change impacts in DRNs, integrating hydrological, ecological (including nature-based solutions), socio-economic and policy perspectives. The end results of DRYvER will contribute to reaching the objectives of the Paris Agreement and placing Europe at the forefront of research on climate change. [ABSTRACT FROM AUTHOR]
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- 2021
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11. Shortfalls in our understanding of the causes and consequences of functional and phylogenetic variation of freshwater communities across continents.
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García-Girón, Jorge, Bini, Luis Mauricio, and Heino, Jani
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COMMUNITIES , *LIFE history theory , *FRESHWATER habitats , *FRESHWATER organisms , *ENDANGERED ecosystems , *FRESH water - Abstract
Freshwater ecosystems harbour a disproportionately high biodiversity relative to their area, being also one of the most threatened ecosystem types worldwide. However, our capacity to design evidence-based conservation plans for this realm is restricted by all biodiversity shortfalls that have been recognized so far. In this context, the paucity of comparable field data and information on traits and phylogenies of freshwater organisms should be emphasized. Here, we highlight how increased knowledge could be gained and where we should aim at in research on the functional and phylogenetic features of freshwater communities. First, attempts to combine datasets from different sources should pay careful attention to data harmonization. Second, more effort should be focused on natural history observations on species habitats and life histories, providing the backbone of information for multi-trait databases. Third, fully resolved phylogenies would be required for deciphering the evolutionary relationships of freshwater organisms. Provided that these three hurdles can be overcome, conducting studies of local freshwater communities across continental spatial extents would pave the way for mapping functionally important ecosystems and evolutionarily valuable areas for the conservation of freshwater organisms and their habitats. • Paucity of comparable field data and information on traits and phylogenies of freshwater organisms should be emphasized. • Combining datasets from different sources should pay careful attention to data harmonization. • More effort should be focused on observations on species habitats and life histories. • Fully resolved phylogenies are required for deciphering the evolutionary relationships of freshwater organisms. • These data would allow for mapping functionally important ecosystems and evolutionarily valuable areas for the conservation of freshwaters [ABSTRACT FROM AUTHOR]
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- 2023
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12. Distance decay 2.0. A global synthesis of taxonomic and functional turnover in ecological communities
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Caio Graco‐Roza, Sonja Aarnio, Nerea Abrego, Alicia T. R. Acosta, Janne Alahuhta, Jan Altman, Claudia Angiolini, Jukka Aroviita, Fabio Attorre, Lars Baastrup‐Spohr, José J. Barrera‐Alba, Jonathan Belmaker, Idoia Biurrun, Gianmaria Bonari, Helge Bruelheide, Sabina Burrascano, Marta Carboni, Pedro Cardoso, José C. Carvalho, Giuseppe Castaldelli, Morten Christensen, Gilsineia Correa, Iwona Dembicz, Jürgen Dengler, Jiri Dolezal, Patricia Domingos, Tibor Erös, Carlos E. L. Ferreira, Goffredo Filibeck, Sergio R. Floeter, Alan M. Friedlander, Johanna Gammal, Anna Gavioli, Martin M. Gossner, Itai Granot, Riccardo Guarino, Camilla Gustafsson, Brian Hayden, Siwen He, Jacob Heilmann‐Clausen, Jani Heino, John T. Hunter, Vera L. M. Huszar, Monika Janišová, Jenny Jyrkänkallio‐Mikkola, Kimmo K. Kahilainen, Julia Kemppinen, Łukasz Kozub, Carla Kruk, Michel Kulbiki, Anna Kuzemko, Peter Christiaan le Roux, Aleksi Lehikoinen, Domênica Teixeira de Lima, Angel Lopez‐Urrutia, Balázs A. Lukács, Miska Luoto, Stefano Mammola, Marcelo M. Marinho, Luciana S. Menezes, Marco Milardi, Marcela Miranda, Gleyci A. O. Moser, Joerg Mueller, Pekka Niittynen, Alf Norkko, Arkadiusz Nowak, Jean P. Ometto, Otso Ovaskainen, Gerhard E. Overbeck, Felipe S. Pacheco, Virpi Pajunen, Salza Palpurina, Félix Picazo, Juan Antonio Campos, Iván F. Rodil, Francesco M. Sabatini, Shira Salingré, Michele De Sanctis, Angel M. Segura, Lucia H. S. da Silva, Zora D. Stevanovic, Grzegorz Swacha, Anette Teittinen, Kimmo T. Tolonen, Ioannis Tsiripidis, Leena Virta, Beixin Wang, Jianjun Wang, Wolfgang Weisser, Yuan Xu, Janne Soininen, Graco-Roza C., Aarnio S., Abrego N., Acosta A.T.R., Alahuhta J., Altman J., Angiolini C., Aroviita J., Attorre F., Baastrup-Spohr L., Barrera-Alba J.J., Belmaker J., Biurrun I., Bonari G., Bruelheide H., Burrascano S., Carboni M., Cardoso P., Carvalho J.C., Castaldelli G., Christensen M., Correa G., Dembicz I., Dengler J., Dolezal J., Domingos P., Eros T., Ferreira C.E.L., Filibeck G., Floeter S.R., Friedlander A.M., Gammal J., Gavioli A., Gossner M.M., Granot I., Guarino R., Gustafsson C., Hayden B., He S., Heilmann-Clausen J., Heino J., Hunter J.T., Huszar V.L.M., Janisova M., Jyrkankallio-Mikkola J., Kahilainen K.K., Kemppinen J., Kozub L., Kruk C., Kulbiki M., Kuzemko A., Christiaan le Roux P., Lehikoinen A., Teixeira de Lima D., Lopez-Urrutia A., Lukacs B.A., Luoto M., Mammola S., Marinho M.M., Menezes L.S., Milardi M., Miranda M., Moser G.A.O., Mueller J., Niittynen P., Norkko A., Nowak A., Ometto J.P., Ovaskainen O., Overbeck G.E., Pacheco F.S., Pajunen V., Palpurina S., Picazo F., Prieto J.A.C., Rodil I.F., Sabatini F.M., Salingre S., De Sanctis M., Segura A.M., da Silva L.H.S., Stevanovic Z.D., Swacha G., Teittinen A., Tolonen K.T., Tsiripidis I., Virta L., Wang B., Wang J., Weisser W., Xu Y., Soininen J., Suomen ympäristökeskus, The Finnish Environment Institute, Department of Geosciences and Geography, Plant Production Sciences, Department of Agricultural Sciences, Zoology, Tvärminne Benthic Ecology Team, Marine Ecosystems Research Group, Ecosystems and Environment Research Programme, Biological stations, Tvärminne Zoological Station, Faculty Common Matters (Faculty of Biology and Environmental Sciences), Helsinki Institute of Sustainability Science (HELSUS), BioGeoClimate Modelling Lab, Finnish Museum of Natural History, Biosciences, Organismal and Evolutionary Biology Research Programme, Otso Ovaskainen / Principal Investigator, European Commission, Anna Kuzemko, Caio Graco Rodrigues Leandro Roza, Pedro Cardoso, Lars Baastrup-Spohr, Otso Ovaskainen, Sergio Floeter, Lukasz Kozub, Miska Luoto, Jianjun Wang, Aleksi Lehikoinen, Janne Soininen, Janne Alahuhta, Kimmo Kahilainen, Pekka Niittynen, Ivan Rodil, Iwona Dembicz, Claudia Angiolini, Julia Kemppinen, Fabio Attorre, Idoia Biurrun, Jukka Aroviita, Ioannis Tsiripidis, Riccardo Guarino, Jürgen Dengler, Jani Heino, Gleyci A. Moser, Félix Picazo, Lúcia H. S. Silva, Alicia T. R. Acosta, Jean Pierre Ometto, Camilla Gustafsson, Graco‐Roza, Caio, Aarnio, Sonja, Abrego, Nerea, Acosta, Alicia T. R., Alahuhta, Janne, Altman, Jan, Angiolini, Claudia, Aroviita, Jukka, Attorre, Fabio, Baastrup‐Spohr, Lar, Barrera‐Alba, José J., Belmaker, Jonathan, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Burrascano, Sabina, Carboni, Marta, Cardoso, Pedro, Carvalho, José C., Castaldelli, Giuseppe, Christensen, Morten, Correa, Gilsineia, Dembicz, Iwona, Dengler, Jürgen, Dolezal, Jiri, Domingos, Patricia, Erös, Tibor, Ferreira, Carlos E. L., Filibeck, Goffredo, Floeter, Sergio R., Friedlander, Alan M., Gammal, Johanna, Gavioli, Anna, Gossner, Martin M., Granot, Itai, Guarino, Riccardo, Gustafsson, Camilla, Hayden, Brian, He, Siwen, Heilmann‐Clausen, Jacob, Heino, Jani, Hunter, John T., Huszar, Vera L. M., Janišová, Monika, Jyrkänkallio‐Mikkola, Jenny, Kahilainen, Kimmo K., Kemppinen, Julia, Kozub, Łukasz, Kruk, Carla, Kulbiki, Michel, Kuzemko, Anna, Christiaan le Roux, Peter, Lehikoinen, Aleksi, Teixeira de Lima, Domênica, Lopez‐Urrutia, Angel, Lukács, Balázs A., Luoto, Miska, Mammola, Stefano, Marinho, Marcelo M., Menezes, Luciana S., Milardi, Marco, Miranda, Marcela, Moser, Gleyci A. O., Mueller, Joerg, Niittynen, Pekka, Norkko, Alf, Nowak, Arkadiusz, Ometto, Jean P., Ovaskainen, Otso, Overbeck, Gerhard E., Pacheco, Felipe S., Pajunen, Virpi, Palpurina, Salza, Picazo, Félix, Prieto, Juan A. C., Rodil, Iván F., Sabatini, Francesco M., Salingré, Shira, De Sanctis, Michele, Segura, Angel M., da Silva, Lucia H. S., Stevanovic, Zora D., Swacha, Grzegorz, Teittinen, Anette, Tolonen, Kimmo T., Tsiripidis, Ioanni, Virta, Leena, Wang, Beixin, Wang, Jianjun, Weisser, Wolfgang, Xu, Yuan, Soininen, Janne, Graco-Roza, Caio, Acosta, Alicia T R, Baastrup-Spohr, Lar, Barrera-Alba, José J, Carvalho, José C, Ferreira, Carlos E L, Floeter, Sergio R, Friedlander, Alan M, Gossner, Martin M, Heilmann-Clausen, Jacob, Hunter, John T, Huszar, Vera L M, Jyrkänkallio-Mikkola, Jenny, Kahilainen, Kimmo K, Lopez-Urrutia, Angel, Lukács, Balázs A, Marinho, Marcelo M, Menezes, Luciana S, Moser, Gleyci A O, Ometto, Jean P, Overbeck, Gerhard E, Pacheco, Felipe S, Prieto, Juan A C, Rodil, Iván F, Sabatini, Francesco M, Segura, Angel M, da Silva, Lucia H S, Stevanovic, Zora D, and Tolonen, Kimmo T
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environmental gradient ,ASSEMBLY PROCESSES ,latitudinal gradient ,333.7: Landflächen, Naturerholungsgebiete ,Trait ,access ,β-diversity ,DRIVERS ,Quantitative Biology::Populations and Evolution ,spatial distance ,beta-diversity, biogeography, environmental gradient, spatial distance, trait ,SCALE DEPENDENCY ,Centro Oceanográfico de Gijón ,biodiversity ,Global and Planetary Change ,Ecology ,trait ,drivers ,eliöyhteisöt ,ekologia ,ENVIRONMENTAL-CONDITIONS ,Biogeography ,SIMILARITY ,1181 Ecology, evolutionary biology ,Spatial distance ,1171 Geosciences ,beta-diversity ,biogeography ,scale dependency ,β- diversity ,beta-diversity patterns ,β‐diversity ,eliömaantiede ,4111 Agronomy ,β-diversity, biogeography, environmental gradient, spatial distance, trait ,species traits ,distribution ,environmental-conditions ,Environmental gradient ,assembly processes ,Medio Marino ,similarity ,1172 Environmental sciences ,Ecology, Evolution, Behavior and Systematics ,biodiversiteetti ,LATITUDINAL GRADIENT ,responses ,BIODIVERSITY ,High Energy Physics::Experiment ,BETA-DIVERSITY PATTERNS ,SPECIES TRAITS ,RESPONSES - Abstract
Caio Graco-Roza was funded by the Coordination for the Improvement of Higher Education Personnel (CAPES), the Carlos Chagas Filho Research Support Foundation (FAPERJ) and the Ella and Georg Erhnrooth Foundation; Jan Altman by research grants INTER-EXCELLENCE LTAUSA19137 provided by Czech Ministry of Education, Youth and Sports, 20-05840Y of the Czech Science Foundation, and long-term research development project no. RVO 67985939 of the Czech Academy of Sciences; Otso Ovaskainen was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 856506; ERC-synergy project LIFEPLAN); and Jianjun Wang was funded by CAS Key Research Program of Frontier Sciences (QYZDB-SSW-DQC043) and National Natural Science Foundation of China (91851117). The "sPlot" project was initiated by sDiv, the Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, funded by the German Research Foundation (DFG FZT 118), and is now a platform of iDiv. The study was supported by the TRY initiative on plant traits (). We are also grateful to Jens Kattge and TRY database. TRY is hosted, developed and maintained at the Max Planck Institute for Biogeochemistry (MPI-BGC) in Jena, Germany, in collaboration with the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. The CESTES database of metacommunities is also an initiative of iDiv led by Alienor Jeliazkov. We thank sDiv for supporting the open science initiative., Aim: Understanding the variation in community composition and species abundances (i.e., β-diversity) is at the heart of community ecology. A common approach to examine β-diversity is to evaluate directional variation in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distance. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 148 datasets comprising different types of organisms and environments. Location: Global. Time period: 1990 to present. Major taxa studied: From diatoms to mammals. Method: We measured the strength of the decay using ranked Mantel tests (Mantel r) and the rate of distance decay as the slope of an exponential fit using generalized linear models. We used null models to test whether functional similarity decays faster or slower than expected given the taxonomic decay along the spatial and environmental distance. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm and organismal features. Results: Taxonomic distance decay was stronger than functional distance decay along both spatial and environmental distance. Functional distance decay was random given the taxonomic distance decay. The rate of taxonomic and functional spatial distance decay was fastest in the datasets from mid-latitudes. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distance but a higher rate of decay along environmental distance. Marine ecosystems had the slowest rate of decay along environmental distances. Main conclusions: In general, taxonomic distance decay is a useful tool for biogeographical research because it reflects dispersal-related factors in addition to species responses to climatic and environmental variables. Moreover, functional distance decay might be a cost-effective option for investigating community changes in heterogeneous environments., Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio De Janeiro (FAPERJ), Ella and Georg Erhnrooth Foundation, Ministry of Education, Youth & Sports - Czech Republic LTAUSA19137 Grant Agency of the Czech Republic 20-05840Y Czech Academy of Sciences RVO 67985939, Academy of Finland 309581, Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme 223257, European Research Council (ERC) 856506, CAS Key Research Program of Frontier Sciences QYZDB-SSW-DQC043, National Natural Science Foundation of China (NSFC) 91851117, German Research Foundation (DFG) DFG FZT 118, TRY initiative on plant traits
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- 2022
13. Loss of lateral hydrological connectivity impacts multiple facets of molluscan biodiversity in floodplain lakes.
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Zheng, Peng, Jiang, Xiaoming, Shu, Fengyue, Li, Zhengfei, Zhang, Sijing, Alahuhta, Janne, and Heino, Jani
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FLOODPLAINS , *AQUATIC biodiversity , *LAKE management , *LAKES , *BIODIVERSITY , *GEODIVERSITY - Abstract
Lateral hydrological connectivity (LHC) is a key process in maintaining aquatic biodiversity in river floodplain ecosystems. However, the effects of LHC loss on aquatic biodiversity are rarely studied. Here, we evaluated, for the first time, the responses of multiple facets (i.e., taxonomic, functional and phylogenetic) of alpha and beta diversity of freshwater molluscs to the LHC loss in 23 floodplain lakes in the Yangtze River Basin in China. Our results showed that taxonomic and functional alpha diversities were all significantly higher in connected lakes (CLs) than in disconnected lakes (DLs), whereas phylogenetic alpha diversity (Δ+) was lower in CLs than in DLs. For beta diversity facets, taxonomic (T β sor) and phylogenetic (P β sor) dissimilarities were slightly more contributed by the turnover component or equally contributed by the turnover and nestedness-resultant components both in CLs and DLs. Instead, functional beta diversity (F β sor), generally showing much lower values than T β sor and P β sor , was mainly contributed by the nestedness-resultant component (76.6–84.0%), especially in DLs. We found that only functional dissimilarities were significantly higher in DLs than CLs, indicating a high level of functional diversity loss without replacement of species possessing traits sensitive to hydrological disconnection (i.e., large body size, lamellibranch body form, filter feeding, ovoviviparity and burrowing habits). In general, lake area, hydrological connectivity, aquatic vegetation coverage and nutrient levels (TN and TP) played important roles in structuring variation in molluscan alpha and beta diversities, although the three diversity facets responded to different environmental factors. Our results suggest that loss of connectivity to the mainstem river has negative impacts on molluscan assemblages in floodplain lakes. More importantly, as taxonomic, functional and phylogenetic diversities responded somewhat differently to the loss of hydrological connectivity, all of these biodiversity facets should be better incorporated into aquatic biodiversity assessment and conservation programs in large river floodplains. [Display omitted] • We evaluated the impacts of LHC loss on mollusc biodiversity in 23 floodplain lakes. • CLs showed higher taxonomic and functional alpha diversities than DLs. • Functional dissimilarities were significantly higher in CLs than DLs. • LHC played the most important role in structuring multifaceted molluscan diversity. • Examining multiple diversity facets is critical for lake management and conservation. [ABSTRACT FROM AUTHOR]
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- 2022
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