Archaeological quantification is a recurrent issue in research about pottery, its typologies and its distribution. We accept the validity of other methods of quantification-sherd count, minimum number of individuals (MNI) or sherd weight-but the methodology that we have proposed for quantification of assemblages of archaeological contexts is the rims count, which has to be transformed into coefficients of reference through a correction using the modulus of rupture (MR). Such correctors are obtained through measuring the percentage of preserved rim of a significant number of sherds of each type and establishing the average of that percentage. This quantification method is easily applicable to all pottery types and it is also statistically reliable. Besides, it can be used in any study in which the gross number of rims is published. Finally, in the case of ceramic transport containers, a second correction can be applied by multiplying the corrected coefficient (number of rims × MR) by its average capacity (AC), another corrector that will allow us to gather statistics according to the litres of transported product. We believe that the rims count (the easiest part to classify) is a fast, relatively easy and very reliable method that needs to be corrected using the MR.

Summary This paper presents a methodological tool of statistical correction to assess the capacities of different Roman amphorae, whereby ceramic values are transformed into amounts of transported product. Based on scaled drawings of 1281 Roman amphorae, individual vessels’ capacities have been calculated by applying a CAD software to the inner profiles. Each vessel has been classified according to amphora types and the mean for each type has been calculated to produce a coefficient called Average Capacity (AC). The estimated capacities are highly reliable and show narrow confidence intervals. Therefore, they can be applied immediately as a correction factor in studies of quantification of amphorae aimed at characterizing trading dynamics. As such, we expect that future statistical studies of amphorae will include this statistical coefficient to produce more precise and reliable analysis of assemblages and, consequently, more accurate research on the Roman economy.

La producción anfórica en la costa de la actual provincia de Málaga ha sido objeto de escasa atención para los periodos púnico y republicano. En la costa malacitana los trabajos sobre alfares y manufactura local se han centrado casi en exclusiva en las fases fenicia (Aubet Semmler et alii, 1999; Sáez Romero et alii, 2004; Martín Córdoba et alii, 2006; Arancibia Román y Escalante Aguilar, 2006; Ramon Torres, 2006) y, sobre todo, romano-imperial, de la que proceden la mayor parte de los hallazgos arqueológicos (vid. Serrano Ramos, 2004). En cambio, en el conocimiento de la producción anfórica de los periodos púnico y romanorepublicano apenas se ha avanzado desde los antiguos trabajos de Arteaga Matute (1985a; 1985b) sobre yacimientos situados en la desembocadura de Vélez-Málaga, situándose el foco para estas fases en la gran actividad alfarera registrada en la bahía de Cádiz (García Vargas, 1998;Ramon Torres, 2004; Sáez Romero, 2008). Desde esta perspectiva, se entiende que en un trabajo reciente Ramon Torres (2012, 225) incluya la costa malacitana dentro de las regiones cuyos «centros productores de época púnica tardía son en la mayoría de aspectos absolutos desconocidos».A partir del estudio del material anfórico de diversas intervenciones situadas en esta área, hemos registrado algunos hallazgos que pueden permitir avanzar en el conocimiento de estas producciones. A continuación analizamos por separado dos de los principales

Índice Artículos La imagen de la Prehistoria en el cine y los géneros del cine prehistórico. Un mundo de hombres mono, bikinis y dinosaurios.

In Ecuador, there is a progressive loss of the native forest. To mitigate these problems, several reforestation plans have been carried out in the country. To recover the Andean forest, Polylepis racemosa was introduced from Peru, due to its similarity to native species like Polylepis incana. This genus fulfills important ecological functions that help mitigate the effects of local climate change. However, reforestation of introduced species close to natural populations threatens the genetic diversity of Polylepis native forests. In the long term, it can trigger hybridization processes and create problems for ecosystem conservation. This study used geometry morphometric (GM), to differentiate species quickly and economically, using the form of leaves, stomata, flowers, and pollen of P. incana and P. racemosa in three populations: Illinizas Ecological Reserve, Mojanda Lagoons and Cayambe-Coca National Park. To obtain the data, the composite leaves were scanned, the stomata and pollen were photographed with an increase of 400× and on flowers with 100×. 15, 10, 12, and 9 landmarks (LM) were digitized for leaves, stomata, flowers, and pollen, respectively, using ImageJ software. Then, the shape variables and statistical analysis were performed in MorphoJ software. As a result, it was obtained that the discriminant function analysis (DFA) shows that leaves and flowers can be used as indicators to differentiate species from this genus, discarding stomata and pollen. After that, Canonical Variate Analysis (CVA) of leaves and flowers showed that reforested species jointly are separated into two different species; except for the flowers of the population of Mojanda, where there is an intersection of few individuals, which share similar phenotypic characteristics so they can be considered as potentially hybrid individuals. This study generates information on the location of species introduced inside and outside the National System of Protected Areas that threaten the Andean highlands. Finally, GM is an accessible tool for monitoring biodiversity through morphological characteristics and discriminating against species with complex taxonomic problems.