Integrated spatial model based evaluation methodology for optimal invasive species management: common ragweed in the Republic of Korea

Autor: Hye In Chung, Yuyoung Choi, Youngjae Yoo, Robin Engler, Kyungil Lee, Seong Woo Jeon

Publikováno v: Environmental Research Letters, Vol 17, Iss 3, p 034047 (2022)

Invasive species have become a global problem owing to their wide-ranging adverse effects. With intensifying climate change and artificial impacts (human-mediated disturbances), which exacerbate the adverse effects of invasive species, there is an ur

Externí odkaz: https://doaj.org/article/abbeb09f738e4b3e9195caea4b9a7e69

Bryophytes are predicted to lag behind future climate change despite their high dispersal capacities

Autor: Florian Zanatta, Beáta Papp, Jesús Muñoz, Antoine Guisan, Denis Baurain, Rubén G. Mateo, Flavien Collart, Robin Engler, Alain Vanderpoorten, Olivier Broennimann

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications
Nature communications, vol. 11, no. 1, pp. 5601
Digital.CSIC. Repositorio Institucional del CSIC
instname

The extent to which species can balance out the loss of suitable habitats due to climate warming by shifting their ranges is an area of controversy. Here, we assess whether highly efficient wind-dispersed organisms like bryophytes can keep-up with pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c055f160b424d5adec16206cd582fcb
http://link.springer.com/article/10.1038/s41467-020-19410-8

Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution

Autor: Achilleas Psomas, Robin Engler, Niklaus E. Zimmermann, Lars T. Waser, Christian Ginzler, Savvas Berdos, Marcus Schaub

Publikováno v: Forest Ecology and Management. 310:64-73

The ability to map vegetation and in particular individual trees is a key component in forest management and long-term forest monitoring. Here we present a novel approach for mapping individual tree species based on ensemble modeling, i.e. combining

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8e85ad9662c2c16be36a038f5fe2e862
https://doi.org/10.1016/j.foreco.2013.07.059

Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation

Autor: Filip Claes, Marius Gilbert, Jean Artois, Scott H. Newman, Ioannis Xenarios, Gwenaelle Dauphin, Celia Chaiban, Robin Liechti, Madhur S. Dhingra, Timothy P. Robinson, Catherine Linard, Sophie Von Dobschuetz, Robin Engler, Dimitry Kuznetsov, Xiangming Xiao

Publikováno v: eLife, 5 (NOVEMBER2016
eLife
Dhingra, M S, Artois, J, Robinson, T P, Linard, C, Chaiban, C, Xenarios, I, Engler, R, Liechti, R, Kuznetsov, D, Xiao, X, Dobschuetz, S V, Claes, F, Newman, S H, Dauphin, G & Gilbert, M 2016, ' Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation ', eLife, vol. 5 . https://doi.org/10.7554/eLife.19571
eLife, vol. 5, pp. e19571
eLife, Vol 5 (2016)

Global disease suitability models are essential tools to inform surveillance systems and enable early detection. We present the first global suitability model of highly pathogenic avian influenza (HPAI) H5N1 and demonstrate that reliable predictions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63f459b7a0c401fe65a22958b3a5a3a
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/243925

The MIGCLIM R package - seamless integration of dispersal constraints into projections of species distribution models

Autor: Wim Hordijk, Robin Engler, Antoine Guisan

Publikováno v: Ecography. 35:872-878

The MIGCLIM R package is a function library for the open source R software that enables the implementation of species-specific dispersal constraints into projections of species distribution models under environmental change and/or landscape fragmenta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eb698a2aac8b0e4e068a33b62c5de955
https://doi.org/10.1111/j.1600-0587.2012.07608.x