Páramo de Belmira as an important centre of endemism in the northern Colombian Andes: new evidence from Pronophilina butterflies (Lepidoptera: Nymphalidae, Satyrinae, Satyrini).

Páramo de Belmira (Páramo de Santa Inés) is the highest part of the Andean Central Cordillera in the Colombian department of Antioquia. It harbours a pocket of highlands grassland vegetation isolated from the nearest southerly other large paramo extensions by some 150 km. Butterflies sampling was carried out for over three years in the cloud forest-paramo mosaic and open grassland at 2650-3350 m. As a result, several new taxa of various butterflies groups were identified, including three species and two subspecies belonging to the Satyrinae subtribe Pronophilina, described herein: Lymanopoda casneri n. sp., L. ionius lilliput n. ssp., Panyapedaliodes rojasi n. sp., Pedaliodes nutabe n. sp. and Apexacuta orsedice mariadelmarae n. ssp. L. casneri is particularly interesting from the biogeographical perspective as its nearest relative is L. hazelana Brown, found in south-central Ecuador, some 1000 km southwards. Overall, 48 species of Pronophilina were identified. Considering the occurrence of several endemic species and subspecies of butterflies in the extremely restricted paramo grasslands in the study area, and the anthropogenic pressure from surrounding locations, it is worth attributing the Páramo de Belmira a protection area status.

Using Link Disconnection Entropy Disorder to Detect Fast Moving Nodes in MANETs.

Mobile ad-hoc networks (MANETs) are dynamic by nature; this dynamism comes from node mobility, traffic congestion, and other transmission conditions. Metrics to evaluate the effects of those conditions shine a light on node's behavior in an ad-hoc network, helping to identify the node or nodes with better conditions of connection. In this paper, we propose a relative index to evaluate a single node reliability, based on the link disconnection entropy disorder using neighboring nodes as reference. Link disconnection entropy disorder is best used to identify fast moving nodes or nodes with unstable communications, this without the need of specialized sensors such as GPS. Several scenarios were studied to verify the index, measuring the effects of Speed and traffic density on the link disconnection entropy disorder. Packet delivery ratio is associated to the metric detecting a strong relationship, enabling the use of the link disconnection entropy disorder to evaluate the stability of a node to communicate with other nodes. To expand the utilization of the link entropy disorder, we identified nodes with higher speeds in network simulations just by using the link entropy disorder.