Author
Jacqueline Loos
Other affiliations: Lund University, University of Göttingen
Bio: Jacqueline Loos is an academic researcher from Lüneburg University. The author has contributed to research in topics: Biodiversity & Species richness. The author has an hindex of 19, co-authored 52 publications receiving 1540 citations. Previous affiliations of Jacqueline Loos include Lund University & University of Göttingen.
Papers
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Martin Luther University of Halle-Wittenberg1, Zürcher Fachhochschule2, University of Bayreuth3, University of Picardie Jules Verne4, University of Oviedo5, Wageningen University and Research Centre6, Masaryk University7, University of Nottingham8, University of Rostock9, Max Planck Society10, Universidade Federal do Rio Grande do Sul11, University of North Carolina at Chapel Hill12, Santa Clara University13, Leiden University14, Academy of Sciences of the Czech Republic15, Shahjalal University of Science and Technology16, Sapienza University of Rome17, Natural Resources Canada18, Florida International University19, Universidade Federal do Acre20, Ghent University21, University of Göttingen22, University of the Basque Country23, Aarhus University24, Rocky Mountain Biological Laboratory25, Environmental Change Institute26, University of Nova Gorica27, Slovenian Academy of Sciences and Arts28, King Juan Carlos University29, Czech University of Life Sciences Prague30, VU University Amsterdam31, University of Würzburg32, National University of Cordoba33, Wake Forest University34, National University of Saint Anthony the Abbot in Cuzco35, University of Exeter36, Université du Québec en Abitibi-Témiscamingue37, University of Montpellier38, University of Adelaide39, University of Chile40, IFREMER41, University of British Columbia42, Universidade do Estado de Santa Catarina43, University of Münster44, University of Hamburg45, University of Wrocław46, University of Zurich47, Swiss Federal Institute for Forest, Snow and Landscape Research48, University of Oldenburg49, University of Wyoming50, University of Waikato51, Institut national de la recherche agronomique52, Sofia University53, Royal Botanic Gardens54, University of Edinburgh55, Landcare Research56, Radboud University Nijmegen57, Spanish National Research Council58, University of Barcelona59, University of Leeds60, University of Tartu61, University of Minnesota62, University of Sydney63, University of Jena64, University of La Serena65, Peking University66, Iwokrama International Centre for Rain Forest Conservation and Development67, Aristotle University of Thessaloniki68, Bulgarian Academy of Sciences69, University of Oulu70, University of Wisconsin–Eau Claire71, American Museum of Natural History72, International Institute of Minnesota73, Leipzig University74
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.
Abstract: Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
349 citations
TL;DR: In this paper, the authors argue that sustainable intensification is likely to fail in improving food security if it continues to focus narrowly on food production ahead of other equally or more important variables that influence food security.
Abstract: In light of human population growth, global food insecurity is an escalating concern. To meet increasing demand for food, leading scientists have called for “sustainable intensification”, defined as the process of enhancing agricultural yields with minimal environmental impact and without expanding the existing agricultural land base. We argue that this definition is inadequate to merit the term “sustainable”, because it lacks engagement with established principles that are central to sustainability. Sustainable intensification is likely to fail in improving food security if it continues to focus narrowly on food production ahead of other equally or more important variables that influence food security. Sustainable solutions for food security must be holistic and must address issues such as food accessibility. Wider consideration of issues related to equitable distribution of food and individual empowerment in the intensification decision process (distributive and procedural justice) is needed to put meaning back into the term “sustainable intensification”.
281 citations
University of Göttingen1, Hungarian Academy of Sciences2, University of Cambridge3, Life Sciences Institute4, Bulgarian Academy of Sciences5, University of Bern6, University of Latvia7, Institut national de la recherche agronomique8, Aleksandras Stulginskis University9, Technische Universität München10, Slovak Academy of Sciences11, University of Tartu12, University of Zagreb13, University of Maribor14, University of Münster15, Humboldt University of Berlin16, Stockholm University17, Lüneburg University18, University of Siena19, Babeș-Bolyai University20, University of Bonn21, University of Lisbon22, University of Alcalá23, Autonomous University of Barcelona24, Butterfly Conservation25
TL;DR: In this paper, the authors argue that the continued underrepresentation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions.
Abstract: A large proportion of European biodiversity today depends on habitat provided by low-intensity farming practices, yet this resource is declining as European agriculture intensifies. Within the European Union, particularly the central and eastern new member states have retained relatively large areas of species-rich farmland, but despite increased investment in nature conservation here in recent years, farmland biodiversity trends appear to be worsening. Although the high biodiversity value of Central and Eastern European farmland has long been reported, the amount of research in the international literature focused on farmland biodiversity in this region remains comparatively tiny, and measures within the EU Common Agricultural Policy are relatively poorly adapted to support it. In this opinion study, we argue that, 10 years after the accession of the first eastern EU new member states, the continued under-representation of the low-intensity farmland in Central and Eastern Europe in the international literature and EU policy is impeding the development of sound, evidence-based conservation interventions. The biodiversity benefits for Europe of existing low-intensity farmland, particularly in the central and eastern states, should be harnessed before they are lost. Instead of waiting for species-rich farmland to further decline, targeted research and monitoring to create locally appropriate conservation strategies for these habitats is needed now.
182 citations
TL;DR: In this paper, the authors synthesize published evidence provided by reviews and meta-analyses that evaluate the ecological and economic performance of single diversified farming practices and more complex diversification bundles.
160 citations
TL;DR: This review of recent social-ecological systems research and key themes that could help to improve ecosystem restoration in dynamic social contexts relate to resilience and adaptability, ecosystem stewardship and navigation of change, relational values, the coevolution of human and ecological systems, long-range social-ECological connections, and leverage points for transformation.
Abstract: The United Nations (UN) recently declared 2021 to 2030 the Decade on Ecosystem Restoration. Against this background, we review recent social-ecological systems research and summarize key themes that could help to improve ecosystem restoration in dynamic social contexts. The themes relate to resilience and adaptability, ecosystem stewardship and navigation of change, relational values, the coevolution of human and ecological systems, long-range social-ecological connections, and leverage points for transformation. We recommend two cross-cutting new research foci; namely: (i) post hoc cross-sectional assessments of social-ecological restoration projects; and (ii) transdisciplinary social-ecological 'living labs' that accompany new restoration projects as they unfold. With global agendas increasingly taking a social-ecological perspective, the recasting of ecosystem restoration as a social-ecological endeavor offers exciting new opportunities for both research and practice.
144 citations
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01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
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5,249 citations
1,573 citations
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
Abstract: Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
882 citations
Stellenbosch University1, University of Western Australia2, University of Kiel3, University of Geneva4, Free University of Berlin5, University of Nova Gorica6, Macedonian Academy of Sciences and Arts7, Slovenian Academy of Sciences and Arts8, Academy of Sciences of the Czech Republic9, University of Vienna10, University of Bayreuth11, Complutense University of Madrid12, Masaryk University13, Sapienza University of Rome14, University of Zielona Góra15, University of Münster16, University of Göttingen17, Russian Academy of Sciences18, Slovak Academy of Sciences19, Radboud University Nijmegen20, Wageningen University and Research Centre21, National Academy of Sciences of Ukraine22, University of Lisbon23, University of Vechta24, University of California, Davis25, University of Patras26
TL;DR: This paper features the first comprehensive and critical account of European syntaxa and synthesizes more than 100 yr of classification effort by European phytosociologists.
Abstract: Aims: Vegetation classification consistent with the
Braun-Blanquet approach is widely used in Europe for applied
vegetation science, conservation planning and land management.
During the long history of syntaxonomy, many concepts and names
of vegetation units have been proposed, but there has been no
single classification system integrating these units. Here we
(1) present a comprehensive, hierarchical, syntaxonomic system
of alliances, orders and classes of Braun-Blanquet syntaxonomy
for vascular plant, bryophyte and lichen, and algal communities
of Europe; (2) briefly characterize in ecological and
geographic terms accepted syntaxonomic concepts; (3) link
available synonyms to these accepted concepts; and (4) provide
a list of diagnostic species for all classes. LocationEuropean
mainland, Greenland, Arctic archipelagos (including Iceland,
Svalbard, Novaya Zemlya), Canary Islands, Madeira, Azores,
Caucasus, Cyprus. Methods: We evaluated approximately 10000
bibliographic sources to create a comprehensive list of
previously proposed syntaxonomic units. These units were
evaluated by experts for their floristic and ecological
distinctness, clarity of geographic distribution and compliance
with the nomenclature code. Accepted units were compiled into
three systems of classes, orders and alliances
(EuroVegChecklist, EVC) for communities dominated by vascular
plants (EVC1), bryophytes and lichens (EVC2) and algae (EVC3).
Results: EVC1 includes 109 classes, 300 orders and 1108
alliances; EVC2 includes 27 classes, 53 orders and 137
alliances, and EVC3 includes 13 classes, 24 orders and 53
alliances. In total 13448 taxa were assigned as indicator
species to classes of EVC1, 2087 to classes of EVC2 and 368 to
classes of EVC3. Accepted syntaxonomic concepts are summarized
in a series of appendices, and detailed information on each is
accessible through the software tool EuroVegBrowser.
Conclusions: This paper features the first comprehensive and
critical account of European syntaxa and synthesizes more than
100 yr of classification effort by European phytosociologists.
It aims to document and stabilize the concepts and nomenclature
of syntaxa for practical uses, such as calibration of habitat
classification used by the European Union, standardization of
terminology for environmental assessment, management and
conservation of nature areas, landscape planning and education.
The presented classification systems provide a baseline for
future development and revision of European syntaxonomy.
817 citations