Please use this identifier to cite or link to this item: http://dspace.azti.es/handle/24689/514
Files in This Item:
There are no files associated with this item.
Title: Comparing the performance of species distribution models of Zostera marina: Implications for conservation
Authors: Valle, Mireia; van Katwijk, Marieke M.; de Jong, Dick J.; Schipper, Aafke M.; Chust, Guillem; Benito, Blas M.; Garmendia, Joxe M.; Borja, Angel; Bouma, Tjeerd J.
Citation: JOURNAL OF SEA RESEARCH, 2013, 83, 56-64
Abstract: Intertidal seagrasses show high variability in their extent and location, with local extinctions and (re-)colonizations being inherent in their population dynamics. Suitable habitats are identified usually using Species Distribution Models (SDM), based upon the overall distribution of the species; thus, accounting solely for spatial variability. To include temporal effects caused by large interannual variability, we constructed SDMs for different combinations and fusions of yearly distribution data. The main objectives were to: (i) assess the spatio-temporal dynamics of an intertidal seagrass bed of Zostera marina; (ii) select the most accurate SDM techniques to model different temporal distribution data subsets of the species; (iii) assess the relative importance of the environmental variables for each data subset; and (iv) evaluate the accuracy of the models to predict species conservation areas, addressing implications for management. To address these objectives, a time series of 14-year distribution data of Zostera marina in the Ems estuary (The Netherlands) was used to build different data subsets: (1) total presence area; (2) a conservative estimate of the total presence area, defined as the area which had been occupied during At least 4 years; (3) core area, defined as the area which had been occupied during at least 2/3 of the total period; and (4-6) three random selections of monitoring years. On average, colonized and disappeared areas of the species in the Ems estuary showed remarkably similar transition probabilities of 12.7\% and 12.9\%, respectively. SDMs based upon machine-learning methods (Boosted Regression Trees and Random Forest) outperformed regression-based methods. Current velocity and wave exposure were the most important variables predicting the species presence for widely distributed data. Depth and sea floor slope were relevant to predict conservative presence area and core area. It is concluded that, the fusion of the spatial distribution data from four monitoring years could be enough to establish an accurate habitat suitability model of Zostera marina in the Ems estuary. The methodology presented offers a promising tool for selecting realistic conservation areas for those species that show high population dynamics, such as many estuarine and coastal species. (C) 2013 Elsevier B.V. All rights reserved.
Keywords: Intertidal; Dynamics; Conservation; Seagrasses; Ecosystem Management; Wadden Sea; HABITAT MODELS; WADDEN-SEA; EELGRASS; RESTORATION; PREDICTION; REGRESSION; ACCURACY; DYNAMICS; ECOLOGY; NOLTII
Issue Date: 2013
Publisher: ELSEVIER SCIENCE BV
Type: Article
Language: English
DOI: 10.1016/j.seares.2013.03.002
URI: http://dspace.azti.es/handle/24689/514
ISSN: 1385-1101
E-ISSN: 1873-1414
Funder: Basque Water Agency-URA and AZTI-Tecnalia
Ministry of Science and Innovation of the Spanish Government [CTM2011-29473]
Institute for Marine Resources and Ecosystem Studies (The Netherlands)
Royal Netherlands Institute for Sea Research (NIOZ)
Inaki Goenaga - Technology Centres Foundation
Appears in Publication types:Artículos científicos



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.