Effects of field management and landscape context on grassland wintering birds in Southern Portugal
Transcript of Effects of field management and landscape context on grassland wintering birds in Southern Portugal
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Agriculture, Ecosystems and Environment 109 (2005) 59–74
Effects of field management and landscape context on
grassland wintering birds in Southern Portugal
Francisco Moreira a,*, Pedro Beja b, Rui Morgado a, Luıs Reino b,Luıs Gordinho b, Ana Delgado a, Rui Borralho b
a Centro de Ecologia Aplicada ‘‘Prof. Baeta Neves’’, Instituto Superior de Agronomia,
Tapada da Ajuda, 1349-017 Lisboa, Portugalb ERENA – Ordenamento e Gestao de Recursos Naturais, Av. Visconde Valmor,
11-38, 1000-289 Lisboa, Portugal
Received 4 June 2004; received in revised form 20 January 2005; accepted 15 February 2005
Abstract
This study examined the multi-scale effects of farmland management on the assemblages of grassland wintering birds in
Southern Portugal, evaluating the potential influences on bird conservation of ongoing transformations in agricultural
landscapes. The bird assemblages of 42 grassland fields were characterised and related to three sets of variables reflecting
field management, landscape context and large-scale spatial trends. Birds showed responses to the three sets of variables, with
variation partitioning indicating that species richness was primarily influenced by landscape context, whereas abundances were
mostly determined by field management. In general, high species richness was associated with small patches of arable land,
diverse landscapes, high stream density and forest and shrub cover, which probably acted as sources of non-agricultural species
to grassland fields. In contrast, fields located in homogenous arable landscapes tended to be species poor, though they were the
most favourable for open farmland species of conservation concern (e.g. skylark, calandra lark and little bustard). Old grazed
fallows were generally associated with the highest abundances of both invertebrate and seed-eating birds, particularly that of
winter visitors. Seed-eating winter visitors were also associated with stubble fields. The results indicated that conservation of
Iberian grasslands for wintering birds requires management at both the landscape and field scales. At the landscape level, large
blocks of open farmland habitat need to be maintained. At the field level, conservation management should strive to maintain
both stubble fields and old grazed fallows. The application of such prescriptions would require a combination of agri-
environmental programs and land planning policies, whereby the financial support to individual farmers should be conditional
on the maintenance of adequate landscape contexts at larger spatial scales.
# 2005 Elsevier B.V. All rights reserved.
Keywords: Grasslands; Habitat management; Multi-scale; Pseudosteppes; Portugal; Wintering birds
* Corresponding author. Tel.: +351 21 3616083; fax: +351 21 3623493.
E-mail address: [email protected] (F. Moreira).
0167-8809/$ – see front matter # 2005 Elsevier B.V. All rights reserved.
doi:10.1016/j.agee.2005.02.011
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7460
1. Introduction
In recent decades, major declines and range
contractions in European farmland birds have been
associated with changes in agricultural practices,
prompting a quest for sympathetic farming practices
and land-use policies (Bignal and McCracken, 1996;
Pain and Pienkowski, 1997; Stoate et al., 2001).
Although most research and conservation prescrip-
tions have initially been targeted at improving
breeding conditions (e.g. Potts, 1986), there is
growing evidence that changes in winter habitats also
affect farmland bird populations (Evans, 1997; Peach
et al., 1999). For instance, the reduction of winter
stubbles has contributed to the decreased abundance of
seed-eating passerines of conservation concern, which
are strongly dependent on the grain and arable weed
seeds provided by these habitats (Wilson et al., 1996;
Robinson and Sutherland, 2000; Moorcroft et al.,
2002). Likewise, invertebrate-feeding birds respond to
factors such as grassland age and manure application,
which influence food abundance and, consequently,
winter survival and population trends (Tucker, 1992;
Wilson et al., 1996; Perkins et al., 2000). Following
these studies, recommendations to improve winter
habitats have been incorporated into conservation
practice (e.g. Wakeham-Dawson and Aebischer,
1998). It is unclear, however, whether the current
prescriptions have general application, as the available
information derives almost exclusively from Northern
Europe. It therefore remains important to evaluate
elsewhere the processes by which wintering birds are
affected by agricultural change.
The Iberian Peninsula is a major winter quarter for
European migratory birds, receiving each year the
influx of huge numbers of both seed and invertebrate-
feeding farmland birds (Tellerıa, 1988). Although the
distribution and habitat preferences of these birds are
insufficiently known, there is evidence for their
association with low-intensity farming systems,
including extensive cereal cropland and agricultural
grasslands (Tellerıa, 1988; Suarez et al., 2003). In
particular, high densities of wintering birds have been
found in pseudosteppes, which are extensively
farmed, mixed rotational systems of winter cereals,
fodder crops and grazed fallow land, covering over
four million hectares in dry areas with low forest
cover (Suarez et al., 1997). Currently, the area of
pseudosteppes is declining, due to intensification in
the most productive land, compounded by agricul-
tural abandonment and afforestation in marginal areas
(Suarez et al., 1997; Stoate et al., 2001). These trends
are likely to reduce the quantity and quality of winter
habitats for both resident and migratory species, with
potential negative consequences for bird conservation
at the continental scale (Dıaz and Telleria, 1994;
Suarez et al., 1997, 2003). At present, however, little
information is available to predict the consequences
of ongoing agricultural changes and to devise
adequate agri-environmental management prescrip-
tions favouring birds wintering in Southern Europe.
This study addressed these issues by examining, at
multiple scales, the effects of agriculture on birds
wintering in a pseudosteppe landscape of Southern
Portugal. Specifically, the study focused on agricul-
tural grasslands (fallows and pastures), given their
spatial extent, vulnerability to changing farming
practices and value for both migratory and resident
species of conservation concern (Suarez et al., 1997;
Delgado and Moreira, 2000). In pseudosteppes,
typically 30–80% of the land is left fallow each year
and fallow fields remain uncultivated for 2–5 years (or
more), after which they are ploughed and sown to re-
initiate the rotation cycle (Suarez et al., 1997).
Intensification generally results in shorter rotations
and declines in the amount of land left fallow each
year, whereas abandonment is associated with longer
rotations and scrub encroachment (Suarez et al.,
1997). The study adopted a multi-scale approach,
recognising the need to focus on both the management
of fields and their context at larger spatial scales for
adequately assessing the effects of agriculture on
wildlife (Freemark, 1995). Therefore, the study
assessed the relative contributions of habitat variables
reflecting grassland management and landscape
context to variation in: (i) species richness and overall
bird abundance; (ii) richness and abundance of birds
grouped according to migratory status (residents
versus winter visitors) and feeding habits (seed eaters
versus invertebrate eaters); and (iii) relative abun-
dances of the most abundant species. Results were
then used to evaluate the impacts of expected
agricultural changes and to formulate agro-environ-
mental management recommendations for compar-
able grassland landscapes across the Iberian
Peninsula.
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 61
Fig. 1. Map of the study area, showing the main land uses and the location of sample sites (circles).
2. Methods
2.1. Study area
The study was conducted in a typical pseudosteppe
in Southern Portugal, within a 20 km � 30 km
rectangle encompassing a North–South gradient of
agricultural intensification–abandonment (Fig. 1).
This is a plain (100–300 m a.s.l.) with Mediterranean
climate, including hot summers (30–35 8C on average
in July), fairly cold winters (averaging 5 8C in
January) and >75% of annual rainfall (500–
600 mm) concentrated in October–March. An agri-
cultural landscape prevailed in the north, where the
terrain is flatter and the soils more productive, so the
proportion of land cultivated each year is high and
fallows are short-term, mostly consisting of stubble
fields. This landscape was in marked contrast with the
southern portion, a mosaic of shrubland interspersed
with old fallows resulting from agricultural abandon-
ment and scrub encroachment. In-between there was a
pastoral landscape, where the cultivation of cereals is
regular but with medium to long rotations, and so
grazed fallows predominantly occupy the arable land.
Throughout the region there are holm oak Quercus
rotundifolia Lam. woodlands of variable tree cover,
frequently with a grassy understorey grazed by
livestock. The forested areas are increasing, due to
afforestation of abandoned arable land with eucalyp-
tus Eucalyptus spp., umbrella pines Pinus pinea L. and
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7462
holm and cork oak Quercus suber L. The region was
designated as a Special Protection Area under the
European Union Birds Directive due to its importance
for steppe birds. In part of the area there is an agro-
environmental subsidy scheme, whereby farmers are
compensated for maintaining agricultural practices
favouring bird conservation.
2.2. Sampling design
To sample the whole variety of landscape types
along the North–South gradient, rough boundaries of
the three main types (agricultural, pastoral and
shrubland landscapes) were delineated using satellite
imagery and field surveys, and 14 grassland fields
were randomly selected within each type. To reduce
eventual dependencies due to similarities in farm
management and spatial autocorrelation, the stratified
random sampling was constrained so that the selected
fallow fields were on different farms and at least
500 m apart from each other. Fields were also required
to be over 5 ha, with shrub cover <20% and tree cover
<5%. Sampling in large fields (>10 ha) was restricted
to 10 ha quadrats defined at their geographical centres.
From the 42 fields thus selected, 30 were sampled in
the Winter of 1999–2000, and 12 in the winter of
2000–2001.
2.3. Bird censuses
Birds were counted five times in each field, at about
2 week intervals, between December and mid
February. In each case, the entire field was walked
so that the observer approached to within 25 m or less
of every point. All individual birds and flocks of each
species were identified and recorded on maps and,
when flushed, care was taken to check if they landed
further ahead to minimize double counting. To aid in
the recording of bird observations, detailed maps
(1:2000) of each field were prepared before sampling,
depicting the position of marking poles and note-
worthy topographical features (e.g. dirt tracks, stone
piles and shrub patches). Due to difficulties in reliably
identifying all birds of some species in the field,
categorisation to the genus level was made for the
crested and thekla larks (Galerida cristata L. and
Galerida theklae Brehm), house and Spanish sparrows
(Passer domesticus L. and Passer hispaniolensis
Temm.) and common and spotless starlings (Sturnus
vulgaris L. and Sturnus unicolor Temm.). Birds flying
over but not landing were not counted; swallows and
birds of prey were not considered in this study. The
mean count over the five visits (birds per 10 ha) was
used to index the relative abundance of each species at
each field. This measure had potential shortcomings,
due to the winter flocking behaviour of many bird
species (Donald et al., 2001). However, approaches
based on field occupancy or frequency of occurrence
over visits were considered to be less adequate in the
present case, given the need to differentiate between
sites where a species occurs frequently but in low
numbers, from sites where it is both frequent and
abundant. For most species, however, there was strong
positive correlation between mean counts (as log
[x + 1]) and frequencies of occurrence, suggesting that
eventual effects of aggregation were unlikely to affect
the results seriously. For subsequent analysis, birds
were grouped according to both migratory status
(residents versus winter visitors) and feeding habits
(seed versus invertebrate eaters), as these character-
istics may influence the use of winter habitats (e.g.
Wilson et al., 1996; Perkins et al., 2000). Winter
visitors were regarded as species absent from grass-
land habitats during the breeding season (Delgado and
Moreira, 2000).
2.4. Explanatory variables
Factors influencing wintering birds were analysed
using three sets of explanatory variables reflecting
field management, landscape context and spatial
(geographical) location. The spatial component was
included to account for the possibility of unmeasured
environmental factors underlying large-scale trends in
assemblage variation (Legendre and Legendre, 1998).
Fields were described from seven variables
characterising grazing intensity, grassland age and
vegetation structure (Table 1). Estimates of grazing
intensity were obtained by recording at each field the
frequency of occurrence of livestock (mostly sheep)
over the five bird counts. The time in years since the
last cultivation or ploughing of each grassland field
was assessed from inquiries to landowners, assigning
an age of zero to recently ploughed or stubble fields.
Mean vegetation height was estimated in January,
from 60 evenly spaced measurements taken along a
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 63
Table 1
Description and summary statistics of field management and landscape context variables used to characterise fallow fields sampled in Southern
Portugal (see text for details)
Variable Description Mean S.D. Range
Field management variables
Stubbles (Stub) Dummy variable for the occurrence of stubbles 0.31 0.47 0–1
Shrubs (Shrub) Dummy variable for the occurrence of shrubs 0.43 0.50 0–1
Trees (Tree) Dummy variable for the occurrence of trees 0.43 0.50 0–1
Grazing intensity (Graz) Livestock grazing frequency 0.95 1.23 0–5
Vegetation height (Vegh) Mean vegetation height (cm) 5.13 2.75 1.3–15.0
Bare ground (Bare) (%) Proportion bare ground 0.07 0.07 0–0.27
Fallow age (Age) Time since last ploughing or cultivation (years) 1.88 2.53 0–10
Landscape context variables
Pseudosteppe (Steppe) (%) Proportion of area within 1-km radius with pseudosteppe 0.58 0.27 0.07–1.00
Shrubsteppe (Shrstp) (%) Proportion of area within 1-km radius with shrubsteppe 0.13 0.17 0–0.56
Open pastoral woodland (Wood) (%) Proportion of area within 1-km radius with pastoral woodland 0.05 0.11 0–0.37
Forest and scrub (Forscr) (%) Proportion of area within 1-km radius with forest and scrub 0.21 0.17 0–0.65
Other (Other) (%) Proportion of area within 1-km radius with other uses 0.01 0.01 0–0.08
Land use diversity (Divers) Number of different land use types within 1-km radius 3.31 0.81 1–5
Arable patch size (Patch) Size (ha) of pseudosteppe patch where field plot is included 95.2 69.8 6.7–234.1
Drainage density (River) Length (km) of drainage lines within 1-km radius 12.1 2.2 6.6–17.9
Game (Game) Dummy variable for the occurrence of game management 0.67 0.48 0–1
Agro-environmental (Agroenv) Dummy variable for the occurrence of
agro-environmental management
0.38 0.49 0–1
transect crossing the longest axis of each field. Height
was estimated to the nearest centimetre with a ruler
and was defined as the highest point of vegetation
projection, for plants within 3 cm, on the ruler
(Moreira, 1999). Cover by bare ground was estimated
as the proportion of the 60 measurements with no
vegetation.
Landscape context was described from 10 variables
reflecting landscape composition, configuration and
management regime (Table 1). Proportions of five land
use categories were determined in a geographic
information system (GIS), within a 1 km-radius circle
centred on each sampling fallow, from maps prepared
using aerial photography and field surveys. This radius
was set large enough to encompass different land uses
despite the relative homogeneity of the landscape,
while remaining within the range of scales to which
farmland birds are responsive (e.g. Soderstrom and
Part, 2000; Best et al., 2001). The following land use
categories were considered: (a) pseudosteppes were
continuous expanses of open arable land (including
fallows, pastures, cereal and other dry crops and
ploughed fields) with virtually no trees and shrubs; (b)
shrubsteppes were largely similar, but with many
small patches of scrub (typically 0.5–1 ha) inter-
spersed in the arable land; (c) pastoral woodland was a
kind of open savanna (‘‘montado’’), with scattered oak
trees (<10% tree cover) and a grassy understorey
grazed by livestock; (d) areas of scrub and forest
habitats were clumped in a single category, as they
were considered largely unsuitable for farmland birds;
(e) rare habitats (e.g. irrigated crops, rivers and dams,
urban) were grouped in an ‘‘other’’ category. Land
cover maps were also used to determine the size (ha)
of the continuous patch of arable land (pseudosteppe)
where each sampled fallow was inserted. The length of
drainage lines (km) was estimated from topographic
maps (scale 1:25,000). Game management and the
inclusion of the farm in the agro-environmental
subsidy scheme were assessed from inquiries to
landowners and coded as dummy variables.
Spatial trends were quantified following Legendre
and Legendre (1998), using terms of a full third-order
polynomial equation of the x and y Cartesian
coordinates of field centres. The x and y terms were
centred to zero mean before computing the matrix of
spatial descriptors, to reduce collinearity between
successive terms when fitting the polynomial. Quad-
ratic, cubic and interaction terms were explored to allow
for complex spatial features like patches and gaps.
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7464
2.5. Data analyses
Prior to analysis, log-transformations were used to
reduce the influence of extreme values in bird species
richness and abundance data, and in explanatory
variables showing skewed distributions (VEGH, AGE,
PATCH, RIVER). For proportional data, the angular
transformation was used likewise thus reducing
skewness and overcoming the unity sum constraint.
Because environmental data were strongly intercorre-
lated, the main gradients of variation in field
management and landscape context were described
from separate principal components analyses (PCA;
Legendre and Legendre, 1998).
Linear regression was used to estimate the field,
landscape and spatial variables influencing bird
species richness and abundance, with partial regres-
sion partitioning explained variation among the three
sets of explanatory variables (Legendre and Legendre,
1998). The procedure included separate stepwise
regression analyses for each group of factors, to select
reduced subsets of variables that maximally accounted
for variation in each response variable. Before
stepwise selection, inter-annual variation was con-
trolled by forcing a covariate coding the sampling year
into the model. In common with similar studies (e.g.
Estades and Temple, 1999; Freemark and Kirk, 2001;
Gutzwiller and Barrow, 2001), stepwise models
retained both significant variables (P < 0.05) and
variables approaching significance (0.05 � P < 0.10),
so as to reduce the incidence of Type II errors and
thereby to avoid missing eventual effects with
conservation relevance (e.g. Buhl, 1996; Underwood,
1997). Variables included in the stepwise models were
used in partial regressions following Anderson and
Gribble (1998), thus estimating the amount of
variation (R2) of the response variable that can be
attributed to one set of factors, once the effect of other
set of factors is taken into account. This method
isolated seven components of explained variation: (i)
pure field variation; (ii) pure landscape variation; (iii)
pure spatial variation; (iv) combined field/landscape
variation; (v) spatial component of field variation; (vi)
spatial component of landscape variation; (vii) spatial
component of combined field/landscape variation.
Factors underlying variation in the matrix of
species abundances were examined taking a similar
approach, using redundancy analysis (RDA) and
partial-RDA (Legendre and Legendre, 1998). A linear
model of ordination was used because preliminary
detrended correspondence analysis (not presented
here) showed turnovers along the first axes <2 S.D.,
which is the recommended criterion for choosing
linear versus uni-modal models (ter Braak, 1995).
RDAwere carried out on covariance matrices to weigh
each species by the variance of its log-transformed
abundance, thus preventing the undue influence of rare
species (ter Braak, 1995). Species occurring in less
than five fields were excluded from the RDA.
Statistical significance of variables and RDA models
were assessed from Monte Carlo permutation tests
(103 permutations).
3. Results
3.1. Overall patterns in field management and
landscape context
Descriptive statistics of field and landscape
variables are shown in Table 1. The PCA on field
variables revealed a dominant gradient related to
grassland age, ranging from stubble fields to old
fallows, which accounted for 27.1% in local habitat
variability (Fig. 2a). The second PC axis (21.0%)
represented a gradient of grazing intensity and
vegetation structure, ranging from frequently grazed
fields with shorter vegetation, higher proportion of
bare ground and absence of shrubs, to ungrazed or
rarely grazed fields, with taller vegetation, shrub
patches and less bare ground cover.
The landscape PCA underlined a dominant
gradient of increasing habitat diversity, with the
first axis accounting for 37.9% of the overall
landscape variability and contrasting fields within
landscapes composed almost exclusively by arable
land, with fields located in landscapes with high
proportions of forest and shrubland (Fig. 2b). There
was also a trend for farms involved in the agri-
environmental subsidy scheme to be associated with
homogeneous arable landscapes, whereas game
management tended to occur in diverse landscapes.
The second PC (15.6%) contrasted landscapes with
higher proportion of open oak woodlands, with
landscapes with higher amounts of arable land
interspersed with shrub patches.
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 65
Fig. 2. Ordination diagrams of principal component analysis (PCA)
of habitat variables characterising 42 grassland fields sampled in
Southern Portugal for wintering bird assemblages. Separate PCAs
were carried out for variables reflecting field management (a) and
landscape context (b).
3.2. Bird assemblage composition
Altogether, 47 species were recorded during the
study (Appendix A), with an average of 13.5 � 3.6
species per field and 85.2 � 54.6 birds per 10 ha. Most
species were resident invertebrate-eaters (39.6%) and
seed-eaters (22.9%). In terms of abundance, the
assemblage was clearly dominated by seed-eaters,
including both winter visitors (41.1%) and resident
(23.9%) species. There was a core group of seven
widespread (>50% occurrence) and abundant
(>4 birds per 10 ha) species, which accounted for
81.7% of the birds counted. This group was dominated
by winter visitors, including both seed-eaters (skylark
Alauda arvensis L., linnet Carduelis cannabina L. and
goldfinch Carduelis carduelis L.) and invertebrate-
eaters (lapwing Vanellus vanellus L., golden plover
Pluvialis apricaria L. and meadow pipit Anthus
pratensis L.), but there was also one abundant resident
seed-eater (corn bunting Miliaria calandra L.).
3.3. Multi-scale effects on species richness
and abundance
The field models underlined a strong tendency for
the overall species richness and that of invertebrate-
eating residents and winter visitors to be highest in
fallows with shrubs, with tree presence also affecting
positively the species richness of resident invertebrate-
eaters (Table 2). The most consistent field effects on
abundance were fallow age, occurrence of stubbles and
grazing intensity. Overall abundance and that of seed-
eating winter visitors peaked in both stubble fields and
old fallows, with the former also responding positively
to grazing intensity. Invertebrate-eating winter visitors
were most abundant in old grazed fallows.
Species richness was generally lower in landscape
contexts dominated by arable habitats, with more
species occurring in fallows located in smaller arable
patches, with higher habitat diversity, higher coverage
by shrubsteppe, forests and scrub and increased
drainage density (Table 2). Landscape effects on
abundance were more varied. For example, resident
invertebrate-eaters were most abundant in diverse
landscapes, with small arable patches and reduced
coverage by pseudosteppe. Conversely, invertebrate-
eating winter visitors favoured landscapes with a high
proportion of shrubsteppe, low habitat diversity and
little coverage by pastoral woodland. Agro-environ-
mental management showed positive effects on the
abundance of resident species. Game management
favoured the abundance of wintering invertebrate-
eaters, but affected negatively the resident species.
Mapping of each polynomial selected in spatial
models (not shown herein) indicated simpler spatial
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7466T
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trends in richness than in abundance models (Table 2).
The main tendency for species richness was an
increase from north to south, apparent for both the
overall assemblage and each of the functional groups
except resident seed-eaters. The latter peaked at the
central region, declining to both the north and the
south. The spatial abundance models often reflected
the presence of patches of high abundances, differing
in location among functional groups.
Partitioning of explained variation among field,
landscape and spatial sets of variables showed marked
differences between species richness and abundance
models, and among functional groups (Table 3). In
richness models, the landscape context accounted for
more of the explained variation than field character-
istics. The importance of field characteristics
increased in abundance models, contributing more
than landscape variables to explained variation in total
abundance and abundance of winter visitors. Spatial
trends showed unique significant contributions to
explained variation in richness and abundance of seed-
eaters and richness of invertebrate-eating winter
visitors. In general, a relatively large proportion of
variation was explained by spatially structured effects
(shared components), precluding a more exact
isolation of either field or landscape effects. The
negative values obtained for some shared components
indicate that one set of variables showed an inverse
effect of that of the other set.
3.4. Multi-scale effects on assemblage structure
The redundancy analysis showed several associa-
tions between assemblage structure and field, land-
scape and spatial sets of variables (Table 2; Fig. 3).
The first RDA axis (RDA1) of the field model reflected
a gradient from recent fallows, with scattered trees and
little grazing, with higher relative abundances of
woodlark Lululla arborea L., greenfinch Carduelis
chloris L., chaffinch Fringilla coelebs L. and serin
Serinus serinus L., to old grazed fallows with no trees,
where the abundance of golden plover, lapwing,
skylark, calandra lark Melanocorypha calandra L.,
starlings and goldfinch increased. The RDA2 primar-
ily contrasted a large group of species favouring
fallows with shrubs or trees (e.g. crested/thekla larks,
chiffchaff Phylloscopus collybita L., stonechat Sax-
icola torquata L., Sylvia warblers, greenfinch and
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 67
Fig. 3. Biplots from redundancy analysis (RDA1/RDA2) of the responses of wintering bird assemblages to sets of variables describing field
management, landscape context and large-scale spatial trends, in 42 grassland fields sampled in Southern Portugal. Diagrams show the overall
effects of each set of variables (RDA models), and the effects of each set of variables after partialling out the effects of the remaining two sets of
variables (partial RDA models). Dotted arrows are the environmental variables (see codes in Table 1) and full-line arrows are the bird species (see
codes in the Appendix A). Only species with scores >0.2 are shown.
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7468
Table 3
Partitioning among the pure and combined effects of field (F), landscape (L) and spatial (S) sets of variables, of explained variation in linear
regression (richness and abundance) and abundances matrix (RDA) models for grassland wintering birds in Southern Portugal
Pure components Shared components Unexplained
Field Landscape Spatial F + L F + S L + S F + L+ S
Species richness
Overall 10.8 (0.005) 15.7 (0.004) 1.1 ns �2.6 3.9 9.2 17.1 44.8
Migratory invert 1.6 ns 0.4 ns 14.4 (0.060) �0.1 7.3 6.6 2.3 67.5
Resident invert 10.5 (0.045) 14.6 (0.015) 0.00 ns 9.5 0.9 2.4 7.3 54.8
Migratory seed – 14.8 (0.031) 3.8 ns – – 7.6 – 73.7
Resident seed – 11.4 (0.075) 13.1 (0.016) – – �0.2 – 75.7
Abundance
Overall 15.6 (0.040) 2.2 ns 10.6 ns 0.3 6.3 0.0 4.8 60.2
Migratory invert 10.7 (0.049) 6.2 ns 2.8 ns �2.0 �3.6 6.6 9.5 69.8
Resident invert 7.0 ns 17.7 (0.013) 2.2 ns 14.9 4.4 0.4 5.0 48.4
Migratory seed 8.1 (0.082) 5.4 (0.067) 17.3 (0.038) 2.9 12.1 3.9 �2.2 52.5
Resident seed – 8.1 (0.041) 14.2 (0.028) – – 7.5 – 70.2
Matrix of bird relative abundances
Overall 20.0 (0.002) 6.6 ns 12.1 (0.062) 0.9 �1.6 1.4 1.2 59.4
P-levels for pure components are given in brackets.
chaffinch), with a few species associated with open
fields without either shrubs or trees (little bustard
Tetrax tetrax L., calandra lark, linnet). After control-
ling for landscape context and spatial trends, the
significant effects of fallow age and grazing intensity
remained largely comparable (Fig. 2). In contrast, the
presence of shrubs and trees lost significance in the
partial RDA, indicating that their influence could not
be disentangled from that of other sets of variables.
The landscape model included the significant effects
of arable patch size and cover by open pastoral
woodland. Along the gradient defined by RDA1, there
was increasing abundance of species favouring large,
continuous expanses of open arable land (little bustard,
skylark, calandra lark and corn bunting), and decreas-
ing abundance of species benefiting from the contact
with other land uses (e.g. red-legged partridge Alectoris
rufa L., crested/thekla lark, black redstart Phoenicurus
ochruros Gmelin and chaffinch). In RDA2, increasing
cover by open pastoral woodland was associated with
increasing abundance of woodlark, serin, chaffinch and
blue tit Parus caeruleus L., and decreasing abundance
of golden plover, lapwing, red-legged partridge,
skylark, calandra lark and goldfinch. No landscape
variable remained significant after controlling for the
effects of field characteristics and spatial trends
The spatial RDA highlighted a significant spatial
trend, with positive scoring sites in the RDA1
distributed in the study area across a band running
north-west to south-east, corresponding to fallows
with higher abundances of golden plover, lapwing,
red-legged partridge, robin Erithacus rubecula L.,
southern grey shrike Lanius meridionalis Temminck,
crested/thekla lark, Dartford warbler Sylvia undata
Boddaert and song thrush Turdus philomelos Brehm.
Sites with high negative scores along RDA1 were
primarily on the north-east corner, indicating higher
relative abundances of hoopoe Upupa epops L.,
woodlark, white wagtail Motacilla alba L. and blue tit.
The RDA2 reflected basically a east-west gradient,
along which there was increasing abundance of
skylarks and calandra larks, and declining abundances
of red-legged partridge, crested/thekla lark, white
wagtail, stonechat, starlings and linnet. After control-
ling for the effect of field characteristics and landscape
context, only the east-west spatial gradient remained
close to significance.
Partial RDA indicated that the three sets of
variables together accounted for 40.6% of variation
in the bird species data matrix. Of this explained
variation, 20.0% was uniquely related to field
characteristics, 6.6% to the landscape context and
12.1% to large-scale spatial trends (Table 3). However,
only the unique contribution of field was significant,
though the spatial component was close to signifi-
cance. The proportion of variation shared among
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 69
variables was always small (<2%). The negative value
of shared variation between field and spatial variables
indicates that these two sets have contradictory
influences on the assemblage.
4. Discussion
The wintering birds using agricultural grasslands in
pseudosteppe landscapes of Southern Portugal were
numerically dominated by a core group of widespread
and abundant species, which are commonly recorded
wintering in open farmland habitats of the Iberian
Peninsula (Tellerıa, 1988). Except for resident corn
buntings, this core group comprised species that are
largely absent from these grasslands during the
breeding season (Delgado and Moreira, 2000),
including both seed-eaters (skylark, linnet and gold-
finch) and invertebrate-eaters (lapwing, golden plover
and meadow pipit). Some of these birds probably
originated from northern latitudes (Wernham et al.,
2002), profiting from the abundance of seeds and
invertebrates that are seasonally available in agricul-
tural grasslands of Southern Iberia (Tellerıa, 1988;
Dıaz and Telleria, 1994; Suarez et al., 1997). Species
such as the linnet and the goldfinch probably included
also birds breeding in nearby habitats, which use
agricultural grasslands only during the winter. Density
estimates were similar to the ones recorded by other
authors in the Iberian Peninsula, supporting the
general trend for higher densities of granivorous birds
in farmland in relation to shrublands and forests,
probably due to the higher food availability (Tellerıa,
1988; Santos and Tellerıa, 1985).
4.1. Landscape and field management effects
Wintering birds showed responses to local field
management, landscape context and large-scale
spatial trends, underlining the value of investigating
multiple spatial scales to understand the effects of
agriculture on bird populations. Although this has
been recognised previously (e.g. Milson et al., 1998;
Soderstrom and Part, 2000; Best et al., 2001), there
have been very few attempts to isolate the unique
contributions of different scales to bird–agriculture
relationships (but see Freemark and Kirk, 2001). The
variation partitioning approach adopted in here
statistically isolated such unique contributions, show-
ing local variation in species richness to be primarily
influenced by landscape variables, whereas abun-
dances were primarily related to local field conditions.
These results probably reflect the hierarchical nature
of assemblage organisation in which the set of species
available to colonise a site results from factors
operating at large scales, whereas the actual species
abundances are largely influenced by local conditions
(Gaston and Blackburn, 2000).
After removing local and landscape effects, there
was still significant spatial structure in assemblage
variation, which may be a consequence of unmea-
sured, spatially structured field or landscape effects, or
alternatively, may relate to unmeasured environmental
variables or population processes acting at scales
above that normally considered in studies assessing
bird–agriculture relationships (e.g. Soderstrom and
Part, 2000; Best et al., 2001).
The shared components of explained variation were
largely caused by correlations among sets of variables
measured at different scales, making it impossible to
disentangle the corresponding scale-dependent
effects. For instance, tree cover influenced bird
assemblages at both the local and landscape levels,
but their effects were difficult to tell apart because the
presence of trees in fields was greatest in the most
wooded landscapes. Likewise, spatially structured
variation in field management and landscape context
caused major overlaps between the spatial component
and both the field and landscape sets of variables.
Species richness was generally highest in diverse
landscapes, with high stream density and great cover
by woods and shrub vegetation, which favoured the
local occurrence of species characteristic of these
habitats (e.g. woodlark, serin, chaffinch and blue tit).
Accordingly, richness was smallest in fields sampled
within the largest arable patches, probably because
they were farther away from forests and shrubland.
These patterns suggest that the observed landscape
effects could at least partly be attributed to the
distribution and abundance of non-agricultural habi-
tats acting as sources of species to grassland fields.
These results agree with studies suggesting that the
richest farmland bird assemblages are associated with
diverse landscapes, including woods, hedgerows and
other non-agricultural habitats (e.g. Freemark and
Kirk, 2001).
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7470
The composition and configuration of landscapes
also influenced bird assemblages through effects on the
core group of species typical of open farmland. These
species were positively associated with continuous
expanses of arable land and less wooded landscapes
(skylark, calandra lark, golden plover, lapwing and corn
bunting). These results agree with observations show-
ing that many grassland species such as plovers,
lapwings and skylarks avoid small fields, enclosed by
hedgerows or tree lines (Tucker, 1992; Milson et al.,
1998; Perkins et al., 2000; Donald et al., 2001). Inverse
relationships between shrub cover and densities of
wintering seed-eating birds were reported by Dıaz and
Telleria (1994). These patterns are frequently inter-
preted as resulting from anti-predator responses of birds
(e.g. Donald et al., 2001). Another potential explana-
tion to the patterns observed, though not necessarily
exclusive, may be related to variation in food supply
among landscape types. It is possible that large,
continuous patches of arable land provided increased
foraging opportunities to farmland birds, thus permit-
ting higher local densities than landscapes with a larger
proportion of non-agricultural habitats (Soderstrom and
Part, 2000). Whatever the ultimate causes, these results
support the view that the encroachment of trees and
shrubs into open habitats is a type of fragmentation that
can be detrimental to grassland specific birds (Cop-
pedge et al., 2001; Fuhlendorf et al., 2002)
There was a tendency for the lowest richness and
abundance of resident invertebrate-eaters to be found
in game estates. This may eventually be related to
predator control, as this group includes corvid species
(carrion crow, raven, magpie, azure-winged magpie)
often killed by gamekeepers. Agro-environmental
management showed consistent positive effects on the
abundance of resident birds, both seed-eaters and
invertebrate-eaters, but it had no effect on winter
visitors. This may be because management prescrip-
tions in this region have been largely targeted at the
breeding season (e.g. harvesting schedule, restrictions
in agro-chemicals and livestock densities, planting of
wildlife crops), though some of the measures also
improve winter habitats (e.g. preservation of stubble
fields). These measures were previously shown to
affect breeding birds positively (Borralho et al., 1999).
At the field scale, old fallows regularly grazed by
livestock were associated with the highest abundances
of both invertebrate-eaters (e.g. lapwing and golden
plover) and seed-eaters (e.g. skylark, calandra lark and
goldfinch), particularly that of winter visitors. The
positive association of invertebrate-feeding birds with
permanent pastures and long-term leys has been
reported in many previous studies, likely reflecting
particularly favourable feeding conditions (e.g. Fuller
and Youngman, 1979; Tucker, 1992; Wilson et al.,
1996). Invertebrate abundance was probably highest in
old fallows because cultivation reduces invertebrate
soil populations, which may then take time to recover
after the fields are left uncultivated (Tucker, 1992).
Grazing causes soil disturbance and creates a patchy
and open sward, which encourages greater inverte-
brate abundance and diversity, and also provides easier
access to the soil surface for feeding birds (Ausden
and Treweek, 1995; Wilson et al., 1996; Vickery et al.,
2001). Furthermore, dung creates localized sources of
invertebrates and promotes sub-surface invertebrate
populations (Tucker, 1992; Vickery et al., 2001).
The positive association of several seed-eating
species with grazed old fallows may be regarded as
unexpected, as these birds are usually perceived to
avoid grasslands and old fields (Wilson et al., 1996;
Dıaz and Telleria, 1994). Furthermore, this study
confirmed only partly the strong preferences reported
elsewhere of seed-eaters for stubble fields (Wilson
et al., 1996; Dıaz and Telleria, 1994; Moorcroft et al.,
2002), as these habitats showed a positive influence on
the abundance of seed-eating winter visitors but not on
the overall assemblage composition. These results
probably reflect patterns in the availability of food
resources. In the Iberian Peninsula, food accessibility
may be more important than the actual seed abundance
in influencing the distribution of wintering seed-eaters
because their food requirements are one order of
magnitude lower than the abundance of seeds in
extensive farmland habitats (Dıaz and Telleria, 1994).
Therefore, although stubbles attract seed-eaters
because they usually provide a rich source of spilt
crop product and the seeds of grasses and arable
weeds, there may be other adequate feeding grounds.
In old fallows grazed by sheep, the short and open
swards with large proportion of bare ground may be
particularly favourable feeding habitats, as they
provide easy access to food resources for species
such as skylarks (Wakeham-Dawson and Aebischer,
1998; Perkins et al., 2000). In summary, the results
suggest that grazed old fallows may be at least as
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 71
important as stubble fields to sustain populations of
wintering seed-eating birds in the Iberian Peninsula.
4.2. Implications for conservation
Results from this study strengthen the view that
Iberian agricultural grasslands are important for a wide
range of wintering birds typical of open farmland,
including migrant species such as skylarks that have
declined markedly in their breeding quarters. Further-
more, these habitats are important for resident species
with unfavourable conservation status, such as
calandra larks and little bustards (Moreira, 1999;
Delgado and Moreira, 2000, this study). Therefore,
conservation management of these grasslands should
have the primary objective of improving habitat
conditions for these open farmland species, both
migratory and resident. One major obstacle to this goal
is the ongoing scrub encroachment associated with
agricultural abandonment and forest plantation in
agricultural land, encouraged through European Union
subsidy schemes (e.g. Suarez et al., 1997). Although
these processes will increase local diversity of
breeding birds, the conservation value actually declines
because farmland species of unfavourable conserva-
tion status are replaced by widespread shrubland and
forest species (Dıaz et al., 1998; Santos, 2000; Suarez-
Seoane et al., 2002). Comparable losses were
documented in this study for wintering birds, with
negative responses of farmland birds to the prevalence
of non-agricultural habitats over a range of scales, from
the local presence of individual trees and shrubs in
grassland fields, to the landscape occupation by forests
and shrubland. Accordingly, the preservation of large
blocks of open farmland habitat should be a priority in
pseudosteppe landscapes, thus avoiding the negative
effects on open grassland birds of habitat loss and
fragmentation resulting from scrub encroachment and
afforestation (Herkert, 1994; Coppedge et al., 2001;
Fuhlendorf et al., 2002). Definition of minimum areas
required for the different bird species should be the
subject of future studies (e.g. Herkert, 1994).
Conservation management should also strive to
maintain a patchwork of both stubble fields and old
grazed fallows. Maintenance of stubble fields can
probably be made with the support of agro-environ-
mental subsidy schemes similar to that available in the
study area, which have helped maintaining a rotation
scheme including stubbles, and preventing stubble
burning after harvest to increase soil fertility. Old,
grazed fallows may be more at risk due to the
abandonment of the less productive land and the
consequent scrub encroachment. The preservation of
these habitats is strongly dependent on the subsidies
for livestock production, and thus can disappear very
quickly if they become unavailable or strongly
reduced. Changes in the livestock subsidy scheme
are already affecting the farming system in some
areas, with a trend for an increasing importance of
cattle at the expense of sheep production. The effects
of such changes should be evaluated, as there are
usually marked differences in sward structure and
floristic composition between pastures grazed by
cattle and sheep (Vickery et al., 2001).
This study adds to growing evidence supporting the
value of explicitly addressing conservation manage-
ment over multiple spatial scales (e.g. Freemark,
1995). In the particular case of Portuguese grasslands,
it was apparent that considering only the field scale
would be ineffective in securing the conservation
values, given the apparent responses of many species
to habitat fragmentation at the landscape scale.
However, considering only the landscape level would
miss the key role of field management in improving
habitat conditions for several species with unfavour-
able conservation status. Future agri-environment
programs should thus be combined with effective
land-planning policies, whereby subsidies to indivi-
dual farmers for maintaining favourable farming
practices should be conditional on the maintenance
of adequate landscape contexts at larger spatial scales.
Acknowledgements
This study was carried out within the scope of
project PRAXIS XXI/C/AGR/11063/98 ‘‘Determi-
nants of biodiversity in fallows of pseudosteppes:
implications for the definition of agri-environmental
management rules.’’ A. Delgado and F. Moreira were
financed by grants BD/4811/2001, BPD/22102/99 and
BPD/12213/03 from Fundacao para a Ciencia e
Tecnologia, and Pedro Beja was financed by a grant
from Agencia de Inovacao. Thanks are due to Chris
Stoate, Paul Donald and two anonymous referees for
commenting the paper.
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–7472
Appendix A
Percentage occurrence (%occ) and mean (�S.D.) abundances (birds/10 ha) of wintering birds recorded in 42
fallow fields sampled in Southern Portugal. Species are classified according to migratory status (M; R, resident; W,
winter visitor) and feeding habits (F; I, invertebrates; S, seeds). Codes are given for species included in multivariate
analyses.
Common name (scientific name) Code MF %occ Mean � S.D.
Meadow pipit (Anthus pratensis) APRA WI 100.0 10.4 � 7.8
Corn bunting (Miliaria calandra) MCAL RS 100.0 8.3 � 16.0
Skylark (Alauda arvensis) AARV WS 95.2 29.2 � 27.8
Linnet (Carduelis cannabina) CCAN WS 92.9 6.3 � 8.05
Lapwing (Vanellus vanellus) VVAN WI 88.1 4.8 � 6.2
Goldfinch (Carduelis carduelis) CCAR WS 78.6 6.2 � 14.0
Crested/thekla lark (Galerida cristata/theklae) GALE RS 76.2 1.8 � 2.0
White wagtail (Motacilla alba) MALB WI 73.8 1.9 � 4.3
Golden plover (Pluvialis apricaria) PAPR WI 59.5 4.4 � 10.2
Stonechat (Saxicola torquata) STOR RI 57.1 0.5 � 0.7
Southern grey shrike (Lanius meridionalis) LMER RI 50.0 0.2 � 0.2
Common/spotless starling (Sturnus vulgaris/unicolor) SUNI WI 42.9 2.5 � 7.6
Red-legged partridge (Alectoris rufa) ARUF RS 40.5 1.1 � 2.5
Calandra lark (Melanocorypha calandra) MELA RS 33.3 2.0 � 5.7
Greenfinch (Carduelis chloris) CCHL WS 33.3 0.5 � 1.7
Chiffchaff (Phylloscopus collybita) PCOL WI 26.2 0.1 � 0.3
Hoopoe (Upupa epops) UEPO RI 26.2 0.1 � 0.2
Little bustard (Tetrax tetrax) TTET RS 21.4 2.0 � 8.7
Serin (Serinus serinus) SERI WS 21.4 0.3 � 1.4
Song thrush (Turdus philomelos) TPHI WI 21.4 0.2 � 0.7
Dartford warbler (Sylvia undata) SUND RI 19.0 0.1 � 0.4
Black redstart (Phoenicuros ochruros) POCH RI 19.0 0.1 � 0.2
Sardinian warbler (Sylvia melanocephala) SMEL RI 19.0 0.1 � 0.2
Woodlark (Lululla arborea) LARB RS 16.7 0.1 � 0.3
Chaffinch (Fringilla coelebs) FCOE WS 16.7 0.1 � 0.2
Robin (Erithacus rubecula) ERUB WI 14.3 0.1 � 0.2
Blue tit (Parus caeruleus) PCAE RI 11.9 0.2 � 0.7
Raven (Corvus corax) CCOR RI 11.9 0.1 � 0.1
Great bustard (Otis tarda) RS 9.5 0.4 � 1.9
House/Spanish sparrow (Passer domesticus/hispaniolensis) RS 9.5 0.4 � 0.2
Little owl (Athene noctua) RI 9.5 0.02 � 0.08
Great tit (Parus major) RI 7.1 0.1 � 0.5
Black-bellied sandgrouse (Pterocles orientalis) RS 4.8 0.07 � 0.34
Fan-tailed warbler (Cisticola juncidis) RI 4.8 0.04 � 0.19
Stone curlew (Burhinus oedicnemus) RI 4.8 0.03 � 0.16
Snipe (Gallinago gallinago) WI 4.8 0.01 � 0.05
Carrion crow (Corvus corone) RI 4.8 0.01 � 0.06
Azure-winged magpie (Cyanopica cyanus) RI 2.4 0.59 � 3.85
Blackbird (Turdus merula) RI 2.4 0.01 � 0.04
Magpie (Pica pica) RI 2.4 0.01 � 0.08
Rock sparrow (Petronia petronia) RS 2.4 0.01 � 0.06
Grey wagtail (Motacilla cinerea) WI 2.4 0.01 � 0.05
Rock bunting (Emberiza cia) RS 2.4 0.01 � 0.04
White stork (Ciconia ciconia) RI 2.4 0.01 � 0.07
Short-toed treecreper (Certhia brachydactyla) RI 2.4 0.01 � 0.10
Siskin (Carduelis spinus) WS 2.4 0.01 � 0.01
Mistle thrush (Turdus viscivorus) RI 2.4 0.003 � 0.023
F. Moreira et al. / Agriculture, Ecosystems and Environment 109 (2005) 59–74 73
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