10.5061/DRYAD.VC51N47
Gallardo-Cruz, J. Alberto
National Autonomous University of Mexico
Hernández-Stefanoni, J. Luis
Centro de Investigación Científica de Yucatán A.C.; Unidad de Recursos
Naturales; Mérida Yucatán 97200 Mexico
Moser, Dietmar
National Autonomous University of Mexico
Martínez-Yrízar, Angelina
National Autonomous University of Mexico
Llobet, Sergi
National Autonomous University of Mexico
Meave, Jorge A.
National Autonomous University of Mexico
Data from: Relating species richness to the structure of continuous
landscapes: alternative methodological approaches
Dryad
dataset
2019
Anthropocene
moving-window metrics
landscape pattern
surface metrics
image texture
landscape metrics
Leguminosae
PCNM analysis
2019-03-08T00:00:00Z
2019-03-08T00:00:00Z
en
https://doi.org/10.1002/ecs2.2189
11264744 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Numerous studies have focused on the relationship between landscape
structure and plant diversity based on the patch-mosaic landscape
paradigm, by deriving structural data from classified images. Since the
use of discrete classes poses limitations for predicting biodiversity
patterns in complex, low human-impacted ecosystems, two alternative
methods have been used to analyze changes of landscape attributes in a
continuum: moving-window metrics and surface metrics (image texture). Here
we compare these two approaches for predicting richness of all plant
species, legume species, legume trees, legume shrubs, legume forbs and
legume climbers across a tropical landscape in Mexico, based on records of
vascular plants in 250 10 × 10 m-plots. Multiple regression and variation
partitioning methods were used to analyze the effects of the two landscape
descriptors (moving-window and surface metrics), scale (400 and 200 m
moving window sides) and space (based on the extraction of principal
coordinates of neighbor matrices’ vectors) on species richness. The
predictive power of all metrics was relatively small for total species
richness, but generally higher for legume species. For legume forbs,
surface metrics-based models indicated a direct association between
species richness and landscape homogeneity. Moving-window metrics were
highly sensitive to the biological group and to spatial scale, likely due
to a leftover effect of image classification procedures. Conversely,
surface metrics were more independent from scale and taxonomy. Attempts to
predict species richness in highly diverse, low human-impacted tropical
ecosystems more rapidly and accurately should better rely on surface
metrics rather than on moving-window metrics, in line with the continuous
landscape paradigm.
Gallardo-Cruz et al DataBaseThe data contained in this data base are from
250 plots (10 × 10 m) distributed across a tropical landscape in southern
Mexico. The format is an Excel Book. Page 'Species richness'
includes UTM (zone 15) coordinates of the sampling plots and six
species-richness sets: all species, legume species, legume trees, legume
shrubs, legume forbs and legume climbers. Page ‘Surface metrics’ contains
the values for 24 surface metrics derived from a Quickbird satellite
image. Page ‘Moving window metrics’ contains the values for 20 moving
window metrics derived from a classified Quickbird image. Page ‘Metadata’
contains the full description for each variable.
Oaxaca
Mexico
Neotropics
North America