Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Franziska Taubert"'
Autor:
Franziska Taubert, Tuomas Rossi, Christoph Wohner, Sarah Venier, Tomáš Martinovič, Taimur Khan, Julian Gordillo, Thomas Banitz
Publikováno v:
Research Ideas and Outcomes, Vol 10, Iss , Pp 1-12 (2024)
European grassland management has often favoured high production through frequent mowing and heavy fertilisation over biodiversity conservation, which is typically supported by less intensive management. Besides management, climate change and extreme
Externí odkaz:
https://doaj.org/article/99392ec46a3b4b4a8fd725becdea8df9
Autor:
Isabelle Maréchaux, Fanny Langerwisch, Andreas Huth, Harald Bugmann, Xavier Morin, Christopher P.O. Reyer, Rupert Seidl, Alessio Collalti, Mateus Dantas de Paula, Rico Fischer, Martin Gutsch, Manfred J. Lexer, Heike Lischke, Anja Rammig, Edna Rödig, Boris Sakschewski, Franziska Taubert, Kirsten Thonicke, Giorgio Vacchiano, Friedrich J. Bohn
Publikováno v:
Ecology and Evolution, Vol 11, Iss 9, Pp 3746-3770 (2021)
Abstract Understanding the processes that shape forest functioning, structure, and diversity remains challenging, although data on forest systems are being collected at a rapid pace and across scales. Forest models have a long history in bridging dat
Externí odkaz:
https://doaj.org/article/524960710e1640e592aeb393d20938f3
Publikováno v:
Ecosphere, Vol 11, Iss 7, Pp n/a-n/a (2020)
Abstract The relation between species diversity and ecosystem functioning is one of the most frequently discussed topics in ecology. Experiments often revealed an increase of productivity in species‐rich ecosystems. But large variations in these re
Externí odkaz:
https://doaj.org/article/f8adc0a07bcb45d995e3efc765e34f5b
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236546 (2020)
Grasslands contribute to global biogeochemical cycles and can host a high number of plant species. Both-species dynamics and biogeochemical fluxes-are influenced by abiotic and biotic environmental factors, management and natural disturbances. In ord
Externí odkaz:
https://doaj.org/article/511e06e1bc82414098e1fab2e2d2e592
Publikováno v:
Remote Sensing, Vol 13, Iss 1, p 131 (2021)
Remote sensing is an important tool to monitor forests to rapidly detect changes due to global change and other threats. Here, we present a novel methodology to infer the tree size distribution from light detection and ranging (lidar) measurements. O
Externí odkaz:
https://doaj.org/article/b572ed2c2e1b42e9ac9fed02d7724d1f
Publikováno v:
Environmental Research Letters, Vol 13, Iss 5, p 054013 (2018)
Precise descriptions of forest productivity, biomass, and structure are essential for understanding ecosystem responses to climatic and anthropogenic changes. However, relations between these components are complex, in particular for tropical forests
Externí odkaz:
https://doaj.org/article/e1945a9d0b7a43faaba1d57877e9711c
Publikováno v:
PLoS ONE, Vol 8, Iss 2, p e58036 (2013)
Patterns that resemble strongly skewed size distributions are frequently observed in ecology. A typical example represents tree size distributions of stem diameters. Empirical tests of ecological theories predicting their parameters have been conduct
Externí odkaz:
https://doaj.org/article/e9b3255aadca4991b91e98c1bf700223
Publikováno v:
Environmental and Ecological Statistics. 29:315-338
Modelling and applying multivariate distributions is an important topic in ecology. In particular in plant ecology, the multidimensional nature of plant traits comes with challenges such as wide ranges in observations as well as correlations between
Autor:
Koen de Koning, Jeroen Broekhuijsen, Ingolf Kühn, Otso Ovaskainen, Franziska Taubert, Dag Endresen, Dmitry Schigel, Volker Grimm
Publikováno v:
Trends in Ecology & Evolution
Digital twins (DTs) are an emerging phenomenon in the public and private sectors as a new tool to monitor and understand systems and processes. DTs have the potential to change the status quo in ecology as part of its digital transformation. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::314031841d68971bdbd55103a6bfec24
http://hdl.handle.net/10852/102401
http://hdl.handle.net/10852/102401
Publikováno v:
Ecological Modelling. 481:110372