Animal taxa contrast in their scale-dependent responses to land use change in rural Africa
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Date
Authors
Foord, Stefan Hendrik
Swanepoel, Lourens Hendrik
Evans, Steven William
Schoeman, Colin Stefan
Erasmus, Barend Frederik Nel
Schoeman, M. Corrie
Keith, Mark
Smith, Alain
Mauda, Evans Vusani
Maree, Naudene
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
Abstract
Human-dominated landscapes comprise the bulk of the world's terrestrial surface and Africa
is predicted to experience the largest relative increase over the next century. A multi-scale
approach is required to identify processes that maintain diversity in these landscapes. Here
we identify scales at which animal diversity responds by partitioning regional diversity in a
rural African agro-ecosystem between one temporal and four spatial scales. Human land
use practices are the main driver of diversity in all seven animal assemblages considered,
with medium sized mammals and birds most affected. Even the least affected taxa, bats
and non-volant small mammals (rodents), responded with increased abundance in settlements
and agricultural sites respectively. Regional turnover was important to invertebrate
taxa and their response to human land use was intermediate between that of the vertebrate
extremes. Local scale (< 300 m) heterogeneity was the next most important level for all
taxa, highlighting the importance of fine scale processes for the maintenance of biodiversity.
Identifying the triggers of these changes within the context of functional landscapes would
provide the context for the long-term sustainability of these rapidly changing landscapes.
Description
S1 Table. List of bat species, families and foraging groups recorded from manual identifications
of a random subset of four sites (two nights each) per village, and the codes given
to species-groups defined for subsequent automated identification with minimal overlap
in call parameters using scans and filters in Analook v. 4.1t, 2015 (Titley Electronics, www.
hoarybat.com). Single asterisk denotes species which were identified very rarely using manual
identification but not detected from automated scans. Double asterisk denotes one species
which was not manually detected in the sub-sampled sites but detected unequivocally with the automated scans.
S2 Table. Proportion of total richness contributed by alpha and beta components for all seven taxa based on individual- and sample-based partitioning respectively.
S1 Fig. Response of animal communities to three land use types: Croplands, settlements, and rangelands in a rural landscape using two response variables, (a) abundance and (b) richness. All values were standardized for comparison to represent standard deviations from the mean. Whiskers represent the range, boxes the first and third quartiles, dark lines the median and isolated circles are outliers.
S1 File. R-script and associated R output of PERMANOVA analyses for acousticallyobtained (SM2 bat detectors, Wildlife Acoustics) abundance data for 13 species-groups of bats using Bray-Curtis distance. Analyses were conducted in R using the ªveganº, ªcarº and ªMASSº packages. Species group codes and foraging associations (open-air, clutter and clutter- edge; Schoeman & Jacobs, 2008)) are explained in S1 Table.
S2 Table. Proportion of total richness contributed by alpha and beta components for all seven taxa based on individual- and sample-based partitioning respectively.
S1 Fig. Response of animal communities to three land use types: Croplands, settlements, and rangelands in a rural landscape using two response variables, (a) abundance and (b) richness. All values were standardized for comparison to represent standard deviations from the mean. Whiskers represent the range, boxes the first and third quartiles, dark lines the median and isolated circles are outliers.
S1 File. R-script and associated R output of PERMANOVA analyses for acousticallyobtained (SM2 bat detectors, Wildlife Acoustics) abundance data for 13 species-groups of bats using Bray-Curtis distance. Analyses were conducted in R using the ªveganº, ªcarº and ªMASSº packages. Species group codes and foraging associations (open-air, clutter and clutter- edge; Schoeman & Jacobs, 2008)) are explained in S1 Table.
Keywords
Taxa, Bats, Species diversity, South Africa (SA), Savanna rangelands, Landscapes, Biodiversity, Rodents, Conservation, Beta diversity, Ecosystem services
Sustainable Development Goals
Citation
Foord SH, Swanepoel LH, Evans SW,
Schoeman CS, Erasmus BFN, Schoeman MC, et al.
(2018) Animal taxa contrast in their scale-
dependent responses to land use change in rural
Africa. PLoS ONE 13(5): e0194336. https://DOI.org/10.1371/journal.pone.0194336.