Predicting the richness of aquatic beetles and bugs in a semi-arid mediterranean region

The southeastern Iberian Peninsula is a semi-arid region recognised as an area of high aquatic biodiversity. Water beetles (Coleoptera) and water bugs (Hemiptera) are two of the region's most thoroughly studied insect groups. An exhaustive database of aquatic beetles and bugs from the Region of...

Descripción completa

Detalles Bibliográficos
Autores: Bruno, Daniel, Sánchez-Fernández, David, Carbonell, José Antonio, Picazo, Félix, Velasco, Josefa, Millán, Andrés
Tipo de recurso: artículo
Fecha de publicación:2012
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:108753
Acceso en línea:https://ddd.uab.cat/record/108753
Access Level:acceso abierto
Palabra clave:Esforç de mostreig
Model predictiu
Coleòpters aquàtics
Hemípters aquàtics
Patrons de riquesa
Sampling effort
Predictive modelling
Aquatic Coleoptera
Aquatic Hemiptera
Richness patterns
Esfuerzo de muestreo
Modelo predictivo
Coleópteros acuáticos
Hemípteros acuáticos
Patrones de riqueza
Descripción
Sumario:The southeastern Iberian Peninsula is a semi-arid region recognised as an area of high aquatic biodiversity. Water beetles (Coleoptera) and water bugs (Hemiptera) are two of the region's most thoroughly studied insect groups. An exhaustive database of aquatic beetles and bugs from the Region of Murcia (SE Spain) and a set of 33 variables were employed for two related purposes: a) to describe the sampling effort conducted in the study area on these groups in order to identify zones with reliable inventories and b) with this information as a base, to forecast the distribution of species richness for each group. Theoretical estimates were based on the Clench function applied to the accumulated number of samples and were constructed with general linear models (GLM). The following results were obtained: 1) the percentage of grid cells that can be considered to be well sampled in the study area (143 10 × 10 km UTM grid cells) is approximately 14 % for beetles and 22 % for bugs; 2) well-surveyed cells are evenly distributed according to the previously defined physioclimatic subareas, which enable the use of these grid cells for modelling the richness distribution; and 3) a more accurate picture of the actual richness patterns for both groups is shown by the analysis. These results were combined to identify key areas where future sampling efforts must be focused.