scholarly journals Sempervivum guillemotii Lamotte (Crassulaceae), a rediscovered houseleek of the French-Italian Alps

Webbia ◽  
2020 ◽  
Vol 75 (1) ◽  
pp. 69-76
Author(s):  
Lorenzo Gallo
Keyword(s):  

Sempervivum guillemotii (Crassulaceae) was discovered and described by Martial Lamotte in the French Alps, but apart from Rouy & Camus, it was never cited in the French floras. Burnat later rediscovered it, but unaware of Lamotte’s name, he published it under the name S. adenotrichum; this name, too, did not find its way into the floras until the recent Flora Gallica. The author rehabilitates this name and designates a neotype for the name S. guillemotii and a lectotype for its synonym S. adenotrichum.

Zootaxa ◽  
2021 ◽  
Vol 4985 (2) ◽  
Author(s):  
JOHANN WARINGER ◽  
GENNARO COPPA

The collection of adults, mature male pupae, and the absence of confusing species at the sampling sites located in the Cevennes and French Alps enabled descriptions of the hitherto unknown larvae of Plectrocnemia cevennensis Coppa 2011 and P. praestans McLachlan 1884 (Trichoptera, Polycentropodidae). We present information on the morphology of the larvae and illustrate the most important diagnostic features. In the context of the larval key to European Plectrocnemia species by Waringer & Graf (2020), P. cevennensis keys together with P. scruposa McLachlan 1880, whereas P. praestans keys with P. conspersa (Curtis 1834). These two species pairs are morphologically very close; P. cevennensis and P. scruposa can be separated by the numbers of secondary setae on the last abdominal sternum, but the separation of P. praestans and P. conspersa is not always possible.


1989 ◽  
Vol 101 (5) ◽  
pp. 751-752
Author(s):  
ETIENNE JAILLARD ◽  
HERVE DONDEY ◽  
BRUNO LANDÈS ◽  
J. A. DE ROO ◽  
G. S. LISTER
Keyword(s):  

2021 ◽  
Vol 13 (7) ◽  
pp. 1239
Author(s):  
Ludovica Oddi ◽  
Edoardo Cremonese ◽  
Lorenzo Ascari ◽  
Gianluca Filippa ◽  
Marta Galvagno ◽  
...  

Woody species encroachment on grassland ecosystems is occurring worldwide with both negative and positive consequences for biodiversity conservation and ecosystem services. Remote sensing and image analysis represent useful tools for the monitoring of this process. In this paper, we aimed at evaluating quantitatively the potential of using high-resolution UAV imagery to monitor the encroachment process during its early development and at comparing the performance of manual and semi-automatic classification methods. The RGB images of an abandoned subalpine grassland on the Western Italian Alps were acquired by drone and then classified through manual photo-interpretation, with both pixel- and object-based semi-automatic models, using machine-learning algorithms. The classification techniques were applied at different resolution levels and tested for their accuracy against reference data including measurements of tree dimensions collected in the field. Results showed that the most accurate method was the photo-interpretation (≈99%), followed by the pixel-based approach (≈86%) that was faster than the manual technique and more accurate than the object-based one (≈78%). The dimensional threshold for juvenile tree detection was lower for the photo-interpretation but comparable to the pixel-based one. Therefore, for the encroachment mapping at its early stages, the pixel-based approach proved to be a promising and pragmatic choice.


CATENA ◽  
2021 ◽  
Vol 206 ◽  
pp. 105562
Author(s):  
Nicoletta Cannone ◽  
Silvia Piccinelli

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