Institution
Bavarian Forest National Park
Archive•Grafenau, Germany•
About: Bavarian Forest National Park is a archive organization based out in Grafenau, Germany. It is known for research contribution in the topics: Biodiversity & Species richness. The organization has 80 authors who have published 414 publications receiving 11825 citations. The organization is also known as: Nationalpark Bayerischer Wald.
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Goethe University Frankfurt1, University of Maryland, College Park2, University of Guelph3, Duke University4, Swedish University of Agricultural Sciences5, Radboud University Nijmegen6, Federal University of Mato Grosso do Sul7, University of Alberta8, Royal Veterinary College9, Wildlife Conservation Society10, Mississippi State University11, Sao Paulo State University12, Michigan Department of Natural Resources13, University of California, Davis14, Aarhus University15, Max Planck Society16, University of Potsdam17, Middle Tennessee State University18, Mammal Research Institute19, Harvard University20, Edmund Mach Foundation21, Smithsonian Conservation Biology Institute22, University of Évora23, University of Montpellier24, Monash University25, Parks Victoria26, Ohio State University27, Fiji National University28, University of Massachusetts Amherst29, United States Geological Survey30, University of Oxford31, Save the Elephants32, German Primate Center33, Technische Universität München34, Institute of Ecosystem Studies35, University of British Columbia36, University of Zurich37, University of Wyoming38, University of Washington39, University of Montana40, University of Freiburg41, Bavarian Forest National Park42, University of Toulouse43, University of Veterinary Medicine Vienna44, University College Cork45, North Carolina Museum of Natural Sciences46, North Carolina State University47, Karatina University48, University of Lethbridge49, Lamont–Doherty Earth Observatory50, University of Valencia51, Stony Brook University52, International Union for Conservation of Nature and Natural Resources53, University of Alicante54, Empresa Brasileira de Pesquisa Agropecuária55, University of Glasgow56, New York University57, University of Oslo58, Hebrew University of Jerusalem59, Norwegian University of Science and Technology60, Field Museum of Natural History61, University of Grenoble62, University of Bayreuth63, University of New South Wales64, Pennsylvania Game Commission65, Princeton University66, University of Konstanz67, University of Haifa68, Polish Academy of Sciences69, University of Porto70, University of Lisbon71, Instituto Superior de Agronomia72, University of California, Santa Cruz73, University of Pretoria74, Colorado State University75
TL;DR: Using a unique GPS-tracking database of 803 individuals across 57 species, it is found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in area with a low human footprint.
Abstract: Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
719 citations
TL;DR: The results suggest that major drivers of arthropod decline act at larger spatial scales, and are associated with agriculture at the landscape level, which implies that policies need to address the landscape scale to mitigate the negative effects of land-use practices.
Abstract: Recent reports of local extinctions of arthropod species1, and of massive declines in arthropod biomass2, point to land-use intensification as a major driver of decreasing biodiversity. However, to our knowledge, there are no multisite time series of arthropod occurrences across gradients of land-use intensity with which to confirm causal relationships. Moreover, it remains unclear which land-use types and arthropod groups are affected, and whether the observed declines in biomass and diversity are linked to one another. Here we analyse data from more than 1 million individual arthropods (about 2,700 species), from standardized inventories taken between 2008 and 2017 at 150 grassland and 140 forest sites in 3 regions of Germany. Overall gamma diversity in grasslands and forests decreased over time, indicating loss of species across sites and regions. In annually sampled grasslands, biomass, abundance and number of species declined by 67%, 78% and 34%, respectively. The decline was consistent across trophic levels and mainly affected rare species; its magnitude was independent of local land-use intensity. However, sites embedded in landscapes with a higher cover of agricultural land showed a stronger temporal decline. In 30 forest sites with annual inventories, biomass and species number—but not abundance—decreased by 41% and 36%, respectively. This was supported by analyses of all forest sites sampled in three-year intervals. The decline affected rare and abundant species, and trends differed across trophic levels. Our results show that there are widespread declines in arthropod biomass, abundance and the number of species across trophic levels. Arthropod declines in forests demonstrate that loss is not restricted to open habitats. Our results suggest that major drivers of arthropod decline act at larger spatial scales, and are (at least for grasslands) associated with agriculture at the landscape level. This implies that policies need to address the landscape scale to mitigate the negative effects of land-use practices. Analyses of a dataset of arthropod biomass, abundance and diversity in grassland and forest habitats in Germany for the period 2008–2017 reveal that drivers of arthropod declines act at the landscape level.
625 citations
TL;DR: In this paper, a 3D segmentation technique applied directly to laser point clouds, which uses the normalized cut segmentation combined with a stem detection method, was applied to estimate the stem volume and diameter at breast height.
278 citations
Humboldt University of Berlin1, Helmholtz Centre for Environmental Research - UFZ2, University of Zurich3, University of Jena4, Flinders University5, German Aerospace Center6, Martin Luther University of Halle-Wittenberg7, University of Freiburg8, Bavarian Forest National Park9, Forschungszentrum Jülich10, Dresden University of Technology11, University of Nottingham12, Environment Agency13, Leipzig University14
TL;DR: The requirements for future geomorphology monitoring are focused on the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems.
Abstract: The status, changes, and disturbances in geomorphological regimes can be regarded as controlling and regulating factors for biodiversity. Therefore, monitoring geomorphology at local, regional, and global scales is not only necessary to conserve geodiversity, but also to preserve biodiversity, as well as to improve biodiversity conservation and ecosystem management. Numerous remote sensing (RS) approaches and platforms have been used in the past to enable a cost-effective, increasingly freely available, comprehensive, repetitive, standardized, and objective monitoring of geomorphological characteristics and their traits. This contribution provides a state-of-the-art review for the RS-based monitoring of these characteristics and traits, by presenting examples of aeolian, fluvial, and coastal landforms. Different examples for monitoring geomorphology as a crucial discipline of geodiversity using RS are provided, discussing the implementation of RS technologies such as LiDAR, RADAR, as well as multi-spectral and hyperspectral sensor technologies. Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced. The use of spectral traits (ST) and spectral trait variation (STV) approaches with RS enable the status, changes, and disturbances of geomorphic diversity to be monitored. We focus on the requirements for future geomorphology monitoring specifically aimed at overcoming some key limitations of ecological modeling, namely: the implementation and linking of in-situ, close-range, air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems. This paper aims to impart multidimensional geomorphic information obtained by RS for improved utilization in biodiversity monitoring.
254 citations
University of Würzburg1, Bavarian Forest National Park2, University of Marburg3, University of Northern British Columbia4, Oregon State University5, University of Granada6, Seoul National University7, University of Washington8, Museum and Institute of Zoology9, Murdoch University10, Natural Resources Canada11, University of Zurich12, University of Montana13, University of Alcalá14, Australian National University15, Swiss Federal Institute for Forest, Snow and Landscape Research16, University of Girona17, University of Vic18, Technische Universität München19, University of Natural Resources and Life Sciences, Vienna20, Laval University21, Forest Research Institute22, Swedish University of Agricultural Sciences23
TL;DR: The results suggest that salvage logging is not consistent with the management objectives of protected areas, and substantial changes, such as the retention of dead wood in naturally disturbed forests, are needed to support biodiversity.
Abstract: Logging to "salvage" economic returns from forests affected by natural disturbances has become increasingly prevalent globally Despite potential negative effects on biodiversity, salvage logging is often conducted, even in areas otherwise excluded from logging and reserved for nature conservation, inter alia because strategic priorities for post-disturbance management are widely lackingA review of the existing literature revealed that most studies investigating the effects of salvage logging on biodiversity have been conducted less than 5 years following natural disturbances, and focused on non-saproxylic organismsA meta-analysis across 24 species groups revealed that salvage logging significantly decreases numbers of species of eight taxonomic groups Richness of dead wood dependent taxa (ie saproxylic organisms) decreased more strongly than richness of non-saproxylic taxa In contrast, taxonomic groups typically associated with open habitats increased in the number of species after salvage loggingBy analysing 134 original species abundance matrices, we demonstrate that salvage logging significantly alters community composition in 7 of 17 species groups, particularly affecting saproxylic assemblagesSynthesis and applications Our results suggest that salvage logging is not consistent with the management objectives of protected areas Substantial changes, such as the retention of dead wood in naturally disturbed forests, are needed to support biodiversity Future research should investigate the amount and spatio-temporal distribution of retained dead wood needed to maintain all components of biodiversity
252 citations
Authors
Showing all 82 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Jörg Müller | 67 | 407 | 15282 |
| Marco Heurich | 43 | 251 | 6561 |
| Claus Bässler | 38 | 128 | 3984 |
| Jacob Heilmann-Clausen | 31 | 87 | 3186 |
| Simon Thorn | 26 | 89 | 2456 |
| Sebastian Seibold | 23 | 72 | 1952 |
| Dennis W. H. Müller | 23 | 69 | 1638 |
| Christoph Heibl | 16 | 31 | 1056 |
| Burkhard Beudert | 14 | 29 | 545 |
| Hans Halbwachs | 13 | 22 | 394 |
| Petra Löttker | 11 | 14 | 480 |
| Sascha Rösner | 9 | 15 | 298 |
| Franz-Sebastian Krah | 8 | 17 | 237 |
| Christoph Moning | 8 | 16 | 518 |
| Jonas Hagge | 8 | 13 | 190 |