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Ecological Indicators
journal homepage: www.elsevier.com/locate/ecolind
Influence of the resolution of forest cover maps in evaluating fragmentation
and connectivity to assess habitat conservation status
A. Hernando
a,
⁎
, J. Velázquez
b
, R. Valbuena
c
, M. Legrand
d
, A. García-Abril
a
a
Universidad Politécnica de Madrid, Research Group SILVANET, Ciudad Universitaria, 28040, Madrid, Spain
b
Universidad Católica de Ávila, 05005, Avila, Spain
c
University of Eastern Finland, Faculty of Forest Sciences, P. O. Box 111, Joensuu, Finland
d
Universidad Carlos III de Madrid, Department of Thermal and Fluids Engeneering, Madrid, Spain
ARTICLE INFO
Keywords:
Fragmentation
Connectivity
Habitat conservation status
Spatial resolution
Forest cover maps
OBIA
GIS
Remote sensing
Natura 2000
ABSTRACT
The analysis of fragmentation and habitat connectivity is important in determining their conservation status and
ensuring their long-term survival. However, the reliability of assessments on habitat conservation status may
depend on the resolution of forest cover maps used as inputs. The aim of this paper is to quantify differences in
the results of habitat fragmentation and connectivity analysis found when using three different forest cover maps
of various resolutions, and discusses their effect in the assessment of habitat conservation status. The study was
conducted in a Natura 2000 habitat (9120:Atlantic acidophilous beech forests) in Spain. To measure
fragmentation, we carried out a morphological spatial pattern analysis (MSPA) which provided a very detailed
spatial landscape description (core, islet, bridge, loop, branch and perforation elements). We compared the
habitat total area (Hta) with the habitat area without edge width (Hwe), which correspond to the obtained
previous cores. To measure connectivity, we used the probability of connectivity index (PC). We used three
different forest cover maps with different spatial resolutions: (1) a 2 m map derived from remote sensing using
very high resolution satellite imagery (GeoEye) processed with object-based image analysis (OBIA_layer); (2) a
10 m map derived from fieldwork and aerial photo-interpretation at 1:10,000 scale (Forest_layer); and (3) a 50 m
map obtained by a similar method at 1:50,000 scale (Atlas_layer). Our results confirm results obtained by
previous studies showing that the resolution of input forest cover maps substantially influences MSPA results.
The habitat area proportion classified as core decreased as the resolution of input forest cover maps increased,
whereas the amount of islets, bridges, loops, branches and perforations increased. The spatial resolution of forest
cover maps influences the assessment of habitat conservation status. Habitat conservation status was assessed as
being ‘unfavourable inadequate’ (the middle rank out of three) with the coarse Atlas_layer, and as ‘unfavourable
bad’ (the bottom rank out) when using the higher resolution Forest_layer and OBIA_layer. This can be critical for
European environmental funding. Results obtained also show that resolution of input forest cover maps influence
the calculated values of PC index. The use of high-resolution forest cover maps is critical to study habitat
connectivity, since otherwise the outcome presents no appreciable result. We conclude that using remote sensing
techniques together with OBIA is the most appropriate and cost-effective method for analyzing forest
fragmentation and connectivity for habitat conservation status assessments. The source and/or the method of
generation of the habitat data layer used (also the spatial resolution) as well as the connectivity analysis method
applied must at all times be reported in such analyses.
1. Introduction
Forest loss and fragmentation produce a progressive change in
spatial landscape configuration, affecting species survival (Telleria and
Santos, 2001). Forest loss refers to the clearing of forests for pasture,
harvesting, cultivation or urban development (Liu et al., 2016) and
fragmentation refers to the breaking up of a habitat, ecosystem, or land-
use type into smaller parcels (Forman, 1995). Considering the contin-
uous anthropogenic land use, both loss and fragmentation are serious
threats to the conservation of biodiversity (Turner, 1996). The degree of
fragmentation is important as it may determine whether a patch of
habitat is large enough to support survival of a population of some
species. The degree of fragmentation can be described using four
variables: size of fragments, number of fragments, distance between
http://dx.doi.org/10.1016/j.ecolind.2017.04.031
Received 14 June 2016; Received in revised form 13 April 2017; Accepted 13 April 2017
⁎
Corresponding author at: Research Group for Sustainable Forest Management-SILVANET, Technical University of Madrid (U.P.M), Ciudad Universitaria s.n., 28040, Madrid, Spain.
E-mail address: ana.hernando@upm.es (A. Hernando).
Ecological Indicators 79 (2017) 295–302
1470-160X/ © 2017 Elsevier Ltd. All rights reserved.
MARK