Journal
of Threatened Taxa | www.threatenedtaxa.org | 26 April 2024 | 16(4):
25049–25056
ISSN 0974-7907 (Online) | ISSN
0974-7893 (Print)
https://doi.org/10.11609/jott.8740.16.4.25049-25056
#8740 | Received 11 September
2023 | Final received 05 March 2024 | Finally accepted 02 April 2024
Ecological values of Ourkiss wetland (Oum El Bouaghi province - Algeria), an overview of waterbirds diversity and richness
Ryadh Aissaoui
1 & Mouslim
Bara 2
1 Department of Biology, Faculté SNVSTU, Université 8 Mai
1945 Guelma BP 401 Guelma
24000, Algeria.
2 Laboratoire Biologie,
Eau et Environnement, Université 8 Mai 1945 Guelma BP
401 Guelma 24000, Algeria.
1 aissaouiryadh@yahoo.fr, 2 mouslim.bara@gmail.com
(corresponding author)
Abstract: The monitoring of waterbirds’ abundance and richness serves as the primary
method for scientists to characterize the ecological values and diversity
profile of wetlands. This survey was specifically conducted in Ourkiss wetland, situated in the Oum
El Bouaghi province of East Algeria, spanning from
January to May 2013. The study aimed to elucidate the ecological significance
of Ourkiss wetland by analyzing various parameters,
including the abundance, richness, diversity profile, and conservation status
of its waterbird population. A total of 23 species,
representing 11 families, were documented during the survey period, with Anatidae and Rallidae emerging as
the most prevalent taxa. Notably, Ourkiss wetland
exhibited two distinct populations: the “wintering population” and the
“breeding population,” with significant waterbird
activity observed during migration between the northern and southern regions.
The presence of the endangered species Oxyura
leucocephala further underscores the ecological
importance of this wetland. Noteworthy peaks in waterbird
diversity were particularly observed in April, as indicated by richness and
Shannon indices. To safeguard the ecological integrity of Ourkiss
wetland, it is strongly recommended to intensify conservation efforts and
implement effective management plans.
Keywords: Abundance, conservation, diversity profile, endangered
species, management, monitoring, wintering.
Editor: H. Byju,
Coimbatore, Tamil Nadu, India. Date
of publication: 26 April 2024 (online & print)
Citation: Aissaoui, R.,
& M. Bara (2024). Ecological
values of Ourkiss wetland (Oum
El Bouaghi province - Algeria), an overview of waterbirds diversity and richness. Journal of Threatened Taxa 16(4): 25049–25056. https://doi.org/10.11609/jott.8740.16.4.25049-25056
Copyright: © Aissaoui & Bara 2024. Creative Commons Attribution 4.0 International
License. JoTT
allows unrestricted use, reproduction, and distribution of this article in any
medium by providing adequate credit to the author(s) and the source of
publication.
Funding: This study is funding by MESRS “ministère de l’enseignement supérieur et la recherche scientifique” and DGRSDT “direction générale de la recherche scientifique et du développement Technologique”.
Competing interests: The authors declare no competing interests.
Author details: Aissaoui, R., is a senior lecture of ecology, affiliated to department of biology at university 8 mai 1945 Guelma. Bara, M., is a professor of ecology and environment, affiliated to research laboratory “biology, water and environment” at university 8 mai 1945 Guelma (team head: ecosystems perturbation “PerEcosy”). He has completed many articles, PhD thesis and project on ornithology, population dynamics, wildlife management and biodiversity conservation.
Author contributions: RA—sampling, the conception of the study, editing the first draft; MB—data analysis, editing first draft, reviewing.
Acknowledgements: The authors of this article are grateful to all
volunteers who participate during the sampling. The study is funding by MESRS “ministère de l’enseignement supérieur et la recherche scientifique”
and the DGRSDT.
Introduction
Animal population dynamic depends
on many intra- and inter-species-specific factors (Mukherjee & Roy 2021).
The bio-monitoring of these factors (such as air temperature, rainfall,
prey-predator relationship, and trophic availability) is fundamental for
understanding ecology, population dynamics, and conservation of animals (Kitahara et al. 2022). Many studies reported that birds are
used as bioindicators of ecosystems and their population is significantly
influenced by habitat structure and foraging availability (Norris & Marra 2007; Carnicer et al. 2009;
Byju et al 2023a). Moreover, adaptive radiations and
ecological niches are widely recommended for birds’ expansion and diversity
(Cooney et al. 2017). Also, VASQUEZ et al. (2007) emphasize that bird expansion
and diversity result from the distribution of abundance and richness among
individuals.
Green & Elmberg
(2014) said that the waterbird species are protected
effectively as much as the services and values of ecosystems are identified.
This ecological balance of ecosystems (i.e., ecosystems values and services) is
indicated throughout avifaunal diversity studies (Byju
et al. 2023b; Gyeltshen et al. 2023). It is well
known that biodiversity within ecosystems and landscapes is influenced and
regulated by the assemblage of birds (Kumar & Sahu
2020).
The distribution of abundance,
richness and diversity profile of waterbirds in
semi-arid wetlands are little studied in Algeria, and all data published
previously were focused on northeastern wetlands (mainly in SKIKDA and ELTARF
provinces) (Merzoug et al. 2015; Merzoug
et al. 2021; Boubekeur et al. 2020; Loucif et al. 2020; Draidi et al.
2023; Ouarti et al. 2023).
In this study, we aim to describe
the waterbird population in Ourkiss
wetland (Oum El Bouaghi
province). Our approach was focused on a description of the ecological value of
Ourkiss wetland by using 1) ecological indices
(Shannon, Simpson, Evenness, and Berger-Parker), 2) monthly variation of
abundance and richness, and 3) the diversity profile of these waterbirds’ population. The survey was initiated based on
the geographical location of Ourkiss, situated within
the primary migratory flyway “North-South” that connects the northern and
southern regions of the country.
Materials
and Methods
Study area
Ourkiss wetland (35.87590N,
6.93870E) (Figure 1), is a freshwater dam flooded by Oued Ourkiss. It covers a total surface of 36 ha at an altitude
of 930 m above sea level. Under the authority of the Ain Fakroun
district (Oum El Bouaghi
province - Eastern Algeria), it was built in 2004 by an Algerian hydraulic
agency to maintain rainfall water (the irrigation of neighboring lands,
arboriculture, and cereal crops). In some parts of this dam, we can observe the
emergent aquatic plants “hydrophytes” such as Typha sp. and Phragmites
sp. (Aissaoui, R. pers. obs . 2013). The climate is
semiarid, with an annual mean temperature of 15.56°C (minimum 6.53°C recorded
in January and maximum 26.13°C recorded in August). The annual rainfall average
never exceeds 400 mm (Data provided from ONM). This wetland is not classified
as a protected area. It is not cited in the national protected area database.
Sampling and data analysis
Waterbird counts were conducted three
times per month from January to May 2013. The observations were made using an
ornithological telescope Konus (60 x 25) during the
twilight period of the day from a concealed observation point to minimize
disturbance (Lumpkin & Pearson 2013). The punctual abundance indices (PIA)
method, recommended by Bara & Segura (2019), was utilized for assessing
abundance and richness, as it significantly reduces observer movement and
disturbance (Ochando 1988). Observers remained
stationary at one point for 15–20 minutes, tallying the abundance of waterbirds (Blondel 1985).
Four ecological indices
(Shannon-Weaver, Simpson, evenness, and Berger-Parker) were calculated as per
the methods described by Shannon & Weaver (1949), Pielou
(1975), and Caruso et al. (2008). The conservation status of species was
determined based on the IUCN Red List criteria (https://www.iucnredlist.org/resources/birdlife2021).
A statistical analysis, including the Kruskal-Wallis test, was conducted to
compare waterbird abundances. A diversity profile was
generated to compare the composition of waterbird
families, with α values set at α = 0 for richness, α = 1 for the Shannon index,
α = 2 for the inverse Simpson index (1/D), and α = a higher value approximating
the Berger-Parker index.
The principal component analysis
(PCA) was performed to examine the correlation between waterbirds’
abundance and their monthly distribution (Pearson, 1901). The selection of two
independent components, labelled “PC1” and “PC2,” aids in focusing attention on
the primary proportion of information (Litvak & Hansell 1990; Janžekovič & Novak 2012). The high variance explained
by these first principal components (PCs) facilitates computational procedures
and enhances analysis reporting (Vaughan & Ormerod 2005). Thus, PCA enables
the analysis of species abundance and their monthly variation (Blanck et al. 2007).
A statistical matrix of size 6 ×
15 was constructed. Waterbird taxa absent (‘0’) in
more than five sampling data points were excluded from the analysis. All
statistical analyses and tests, including Kruskal-Wallis, ecological indices,
diversity profile, and PCA, were conducted using PAST 4.11 software (Hammer et
al. 2012).
Results
Waterbird’s abundance and richness
During the survey, 23 waterbird species from 11 families were recorded. All
recorded waterbirds are classified as Least Concern
in the IUCN Red List status, except for the White-headed Duck Oxyura leucocephala,
which is endangered. The maximum richness (number of species, S) was observed
in April (towards the end of the month), while the abundance of the waterbird population peaked in early January (first week,
221 individuals per 36 ha) (Figure 2). Subsequently, the number of individuals
decreased to a minimum recorded in mid-May (44 individuals) (Figure 2). A
significant monthly difference was observed in the abundance of waterbird families (Kruskal-Wallis: H (chi-2) = 94.09, P
(same) = 1.855 E-17). The abundance of Rallidae was
higher or significantly higher than other waterbird
families, except between “Rallidae/Anatidae”, “Rallidae/Podicipididae”, and “Rallidae/Ciconidae” (Table 1).
Ecological indices
In mid-April, the maximum values
of Simpson and Shannon indices were recorded (0.79 and 1.9, respectively). The
evenness reached a maximum in the end of January 0.76). Berger-Parker index
reached the maximum in early January (0.71).
Figure 3 summarizes the monthly
trending of four ecological indices. The Berger-Parker index decreased
substantially in February 0.32) whereas the abundance corresponded to 160
individuals and the dominance corresponded to 0.23. Except in May where the
abundance and dominance of waterbird population noted
44 individuals and 0.32, respectively, the Berger-Parker was 0.52.
Diversity profile
Figure 4 exposed the template of
alpha diversity according to waterbird families. Rallidae, Anatidae, and Podicipedidae were the most abundant families according to
the diversity profile (higher values when alpha = 0) (Figure 4). Indeed, the total
abundance of these three families was 684, 384, and 107, respectively. The podicipididae abundance decreases substantially and shows a
fallen curve (Figure 4).
The diversity profile of Gruidae, Corvidae, Scolopacidae, and Sternidae show
a steady shape with low values of abundance (40, 10, six, and four
respectively) along an alpha axis (Figure 4). The curve representing Ciconidae and Recurvirostridae
was smoother along the profile (total abundance reached 152 and 47 individuals,
respectively).
The monthly variation of
abundance
The monthly variation of waterbird abundance was reported by PCA components with
Eigenvalues, % variance and plots provided in Table 2 and Figure 5. The primary
information was reported by PC1 and PC2 which collectively accounts for 94% of
the variance. PC1 (85%) effectively distinguished between Rallidae/Anatidae and other families (Podicipedidae,
Ciconidae, Accipitridae, Ardeidae). PC2 (9%) indicated that Anatidae
were predominantly associated with Ourkiss wetland
during the winter period (from late January to early April), while the
remaining waterbird families were observed in early
January (first and second weeks) and from April to May. Additionally, the
abundance of Rallidae and Anatidae
exhibited a negative correlation with the rest of the waterbird
families (refer to Figure 5).
Discussion
The richness of waterbirds was less than other neighboring wetlands in
northeast Algeria (in Lake TONGA (Loucif et al. 2020)
and in Garaet HADJ TAHAR (Bara et al. 2020) both
reported 35 species. While the number of species in Ourkiss
reaches 23 species in spite of the restricted area in Ourkiss
(36 ha). The number of species here represented 65% of the total richness
reported in the Algerian avifauna database. Also, according to the total area, Ourkiss wetland is smaller than Lake Tonga (2,400 ha) and Garaet Hadj Tahar
(100 ha). This data shows that the size of wetlands is not a deterministic
factor of waterbird richness.
The Rallidae
and Anatidae were the most dominant waterbirds (noted during the study period). The only
species of Podicipedidae (The little Grebe Tachybaptus ruficollis)
showed a preference for open shallow wetlands (Mukherjee & Roy 2021), and
recorded during the entire study period
The Accipitridae
(mainly the Western Marsh Harrier Circus aeruginosus)
never exceeded five individuals but were recorded throughout the study period.
This species is known as a predator in open wetlands and a wintering species in
the Mediterranean region (Agostini & Panuccio
2010). The birds of families Corvidae, Sternidae, Gruidae, Scolopacidae, and Recurvirostridae
were recorded as irregular birds (with a low abundance, they are observed as
sporadic or occasional birds). The waterbirds’
abundance is limited by conditions encountered in migration. Mainly, the food
supply can reduce the number of individuals (Newton 2006). Now it is unclear to
what extent different waterbird species overlap in
their roles as vectors and how robust this pattern is to changes in the waterbird population (Green & Elmberg
2014). However, this abundance is recognized as an asymmetric interaction
network. This pattern suggests that bottom-up processes have a greater
influence than top-down processes in these networks (Shurin
et al. 2002). Kumar & Sahu (2020) reported that
the complexity of food resources can organize the trophic guilds of birds.
Also, the habitat structure (such as water level) can be a deterministic factor
in the distribution pattern of aquatic birds (Malik & Joshi 2013; Kumar et
al. 2016). However, recent waterbird abundance and
distribution data have shown a notable increase related to these deterministic
factors (mostly the draught in Ourkiss induced by low
rainfall and intensive agriculture).
The ecological indices reached
the maximum in April and January. We observed that during these two months, the
waterbirds changed their phenology status (wintering
versus breeding). The Anatidae associated with the
wintering period (i.e., Northern Shoveler Spatula clypeata and Common Shelduck Tadorna
tadorna) are known as wintering birds in Algeria
(Loucif et al. 2020). Except for the White-headed
Duck which is a sedentary in Ourkiss it is known as a
breeding bird in Lake Tonga (Chettibi et al. 2013).
The Shannon and Simpson indices
reached a maximum in April-May, this period corresponded to breeding. But, the
Evenness and Berger-Parker indices reached their maximum in January. On the
other side, under disturbance waterbird population
can share a dominant pattern (Caruso et al. 2008) and this population was dominated
by some sedentary species (such as ducks, coots, and grebes), it results a high
value of the Berger-Parker index in January. The rest of the species were
opportunistic and did not record in the first week of January.
The number of waterbirds
decreasing significantly in this dam (many ducks recorded previously, were not
observed) was recorded, this observation can be explained by a large scale of
agricultural activities (which use a high quantity of water) and water
deficiency (caused by a little rainfall level recorded this decade).
Also, many wetlands lose their
ecological functions and values (by losing richness and abundance) (Sekercioglu et al. 2004). Many studies reported that waterbirds’ dynamics and number of individuals were
influenced by the seasonal interactions, “The seasonal interactions will depend
on the degree of migratory connectivity between periods of the year” (Norris
& Marra 2007).
It is known that the monthly
distribution of waterbirds was related to the
behavior and the phenology of each species. A large part of Anatidae
had a wintering status (observed during the winter). The variables clustering
shown in our PCA map gives an easier way to explain this assembling (see PCA
map).
An urgent conservation plan for Ourkiss wetland is strongly recommended, along with a
comprehensive survey of the site to potentially classify it as an Important
Bird Area (IBA), particularly considering the possible breeding of the
White-headed Duck as suggested by many scientists. Besides this, various
threats such as the intensive agriculture that assigns the ecological integrity
of Ourkiss. This survey can allow the classification
of Ourkiss wetland as a protected area. In this
context, a global bird conservation perspective by regular long-term monitoring
can accelerate this classification.
Table 1. Dunn’s post hoc test
comparing the monthly variation of abundance intra waterbirds
families. Bonferroni corrected p values.
|
Anatidae |
Podicipedidae |
Ardeidae |
Ciconidae |
Gruidae |
Ralidae |
Recurvirostridae |
Sternidae |
Accipitridae |
Scolopacidae |
Corvidae |
Anatidae |
|
1 |
1 |
1 |
*** |
1 |
0.06 |
*** |
0.69 |
*** |
*** |
Podicipedidae |
1 |
|
1 |
1 |
*** |
1 |
0.39 |
*** |
1 |
*** |
** |
Ardeidae |
1 |
1 |
|
1 |
0.49 |
** |
1 |
0.42 |
1 |
0.30 |
1 |
Ciconidae |
1 |
1 |
1 |
|
* |
0.09 |
1 |
* |
1 |
* |
0.10 |
Gruidae |
*** |
*** |
0.49 |
0.04 |
|
*** |
1 |
1 |
0.94 |
1 |
1 |
Ralidae |
1 |
1 |
** |
0.09 |
*** |
|
*** |
*** |
** |
*** |
*** |
Recurvirostridae |
0.06 |
0.39 |
1 |
1 |
1 |
*** |
|
1 |
1 |
1 |
1 |
Sternidae |
*** |
*** |
0.42 |
* |
1 |
*** |
1 |
|
0.81 |
1 |
1 |
Accipitridae |
0.69 |
1 |
1 |
1 |
0.94 |
** |
1 |
0.81 |
|
0.59 |
1 |
Scolopacidae |
*** |
*** |
0.3 |
* |
1 |
*** |
1 |
1 |
0.59 |
|
1 |
Corvidae |
*** |
** |
1 |
0.1 |
1 |
*** |
1 |
1 |
1 |
1 |
|
*p <0.05, ** p <0.01, ***p
<0.001
Table 2. Principal component
analysis describing the monthly variation of waterbird
abundance in Ourkiss (Oum
el Bouaghi province).
PC |
Eigenvalue |
% variance |
1 |
6703.4 |
85.02 |
2 |
713.257 |
9.0464 |
3 |
394.493 |
5.0034 |
4 |
43.9466 |
0.55738 |
5 |
29.3746 |
0.37256 |
FOR
FIGURES - - CLICK HERE FOR FULL PDF
References
Agostini, N.
& M. Panuccio (2010). Western Marsh Harrier (Circus
aeruginosus) migration through the Mediterranean
Sea: a review. Journal of Raptor Research 44(2): 136–142. https://doi.org/10.3356/JRR-09-48.1
Bara, M.
& L.N. Segura (2019). Effect of air temperature and water depth on bird abundance: A case
study of Rallidae and Anatidae
in the northeastern Algerian Garaet Hadj Tahar. Pakistan Journal
of Zoology 51(1): 211-217. http://doi.org/10.17582/journal.pjz/2019.51.1.211.217
Bara, Y., M.
Bara, M. Bensouilah, M. Saheb, S. Atoussi
& M. Houhamdi (2020). Assessments of physico-chemical parameters of Garaet
Hadj Tahar wetland and their
effect on waterbirds settlement. Ukrainian Journal
of Ecology 10(2): 33–39. https://doi.org/10.15421/2020_60
Blanck, A., P.A. Tedesco & N. Lamouroux (2007). Relationships between
life-history strategies of European freshwater fish species and their habitat
preferences. Freshwater Biology 52(5): 843–859. https://doi.org/10.1111/j.1365-2427.2007.01736
Blondel, J.
(1985). Habitat
selection in island versus mainland birds. Habitat selection in birds. Academic
Press, New York, 477– 516.
Boubekeur, F.Z., S. Setbel,
S. Atoussi, M. Bara, L. Bouaguel,
I. Houhamdi, A. Kerfouf
& M. Houhamdi (2020). Biodiversity and phenological
status of the waterbirds of the Lac des Oiseaux (Northeast of Algeria). Ukrainian Journal of
Ecology 10(5): 69– 75.
Byju, H., N. Raveendran & S.
Ravichandran (2023a). Distribution of avifauna on twenty-one islands of the Gulf of Mannar Biosphere Reserve, India. Journal of Threatened
Taxa 15(2): 22574–22585. https://doi.org/10.11609/jot.8112.15.2.22574-22585
Byju, H., N. Raveendran, S. Ravichandran
& R. Kishore (2023b). An annotated checklist of the avifauna of Karangadu
mangrove forest, Ramanathapuram, Tamil Nadu, with
notes on the site’s importance for waterbird
conservation. Journal of Threatened Taxa 15(3): 22813–22822. https://doi.org/10.11609/jot.8356.15.3.22813-22822
Carnicer, C., J.P. Jordano
& C.J. Melián (2009). The temporal dynamics of
resource use by frugivorous birds: a network approach. Ecology 90(7):
1958–1970. https://doi.org/10.1890/07-1939.1
Caruso, T.,
G. Pigino, F. Bernini, R. Bargagli
& M. Migliorini (2008). The Berger–Parker index as an
effective tool for monitoring the biodiversity of disturbed soils: a case study
on Mediterranean oribatid (Acari: Oribatida)
assemblages. Biodiversity and Conservation in Europe (2007)16: 35–43. https://doi.org/10.1007/978-1-4020-6865-2_3
Chettibi, F., R. Khelifa,
M. Aberkane, Z. Bouslama
& M. Houhamdi (2013). Diurnal activity budget and
breeding ecology of the White-headed Duck Oxyura
leucocephala at Lake Tonga (North-east Algeria). Zoology
and Ecology 23(3): 183–190. https://doi.org/10.1080/21658005.2013.817516
Cooney, C.R.,
J.A. Bright, E.J.R. Capp, A.M. Chira, E.C. Hughes,
C.J.A. Moody, L.O. Nouri, Z.K. Varley & H.T. Gavin (2017). Mega-evolutionary dynamics of
the adaptive radiation of birds. Nature 542(7641): 344–347. https://doi.org/10.1038/nature21074
Draidi, K., I. Djemadi,
B. Bakhouche, S. Narsis, Z.
Bouslama, A. Moussouni
& G. Tiar (2023). A multi-year survey on aquatic
avifauna consolidates the eligibility of a small significant peri-urban wetland
in northeast Algeria to be included on the IBA network. Wetlands Ecology and
Management 2013: 1–19. https://doi.org/10.1007/s11273-023-09938-z
Green, A.J.
& J. Elmberg (2014). Ecosystem services provided by waterbirds. Biological Reviews 89(1): 105–122. https://doi.org/10.1111/brv.12045
Gyeltshen, S. Chhophel,
K. Wangda, Kinley, T. Penjor
& K. Dorji (2023). Avifaunal diversity of Tsirang District with a new country record for Bhutan. Journal
of Threatened Taxa 15(8): 23681–23695 https://doi.org/10.11609/jott.7494.15.8.23681-23695
Hammer, O.,
D.A.T. Harper & P.D. Ryan (2012). PAST: paleontological statistics
software package for education and data analysis. Palaeontologia
Electronica 4(1): 9.
Janžekovič, F. & T. Novak (2012). PCA–a powerful method for
analyze ecological niches, pp. 127–142. In: Sanguansat,
P. (ed.). Principal Component Analysis – Multidisciplinary Applications. InTech Press, 212 pp.
Kitahara, M., A. Ohwaki,
T. Yasuda, S. Hayami & S. Maeda (2022). Importance of continuous
habitat-level monitoring survey for butterfly conservation: identifying species
of conservation concern on a local scale. International Journal of
Conservation Science 13(1): 293–306.
Kumar, P., D.
Rai & S.K. Gupta (2016). Wetland bird assemblage in rural ponds of Kurukshetra, India. Waterbirds 39(1): 86–98. https://doi.org/10.1675/063.039.0111
Kumar, P.
& S. Sahu (2020). Composition, diversity and
foraging guilds of avifauna in agricultural landscapes In Panipat, Haryana,
India. Journal of Threatened Taxa 12(1): 15140–15153. https://doi.org/10.11609/jott.5267.12.1.15140-15153
Litvak, M.K.
& R.I.C. Hansell (1990). Investigation of food habit and niche relationships in a cyprinid
community. Canadian Journal of Zoology 68(9): 1873–1879. https://doi.org/10.1139/z90-267
Loucif, K., M. Bara, A. Grira, M.C. Maazi, A. Hamli & M. Houhamdi (2020). Ecology of avian settlements in
lake Tonga (Northeast Algeria). Zoodiversity
54(4): 275–284. https://doi.org/10.15407/zoo2020.04.275
Lumpkin H.A.
& S.M. Pearson (2013). Effects of exurban development and temperature on bird species in the
southern Appalachians. Conservation Biology 27(5): 1069– 1078. https://doi.org/10.1111/cobi.12085
Malik, D.S.
& N. Joshi (2013). Distribution pattern of aquatic macrophytes and their biomass in
relation to some nutrients in Asan wetland, India. International
Journal for Environmetal Rehabilitation and
Conservation 4(1): 1– 16.
Merzoug, A., M. Bara & M. Houhamdi (2015). Diurnal time budget of Gadwall Anas
strepera in Guerbes-Sanhadja
wetlands (Skikda, northeast Algeria). Zoology and
Ecology 25(2): 101–105. https://doi.org/10.1080/21658005.2015.1031503
Merzoug, S.E., S. Abdi, M. Bara & M.
Houhamdi (2021). Population Fluctuation and Diurnal
Time Budgeting of White-Headed Duck (Oxyura
leucocephala) During Winter at Garaet Hadj Tahar
(Skikda, North East Algerian). Journal of
Bioresource Management 8(1): 6. https://doi.org/10.35691/JBM.1202.0165
Mukherjee, A.
& U.S. Roy (2021). Community structure and foraging guilds of winter avifauna of an urban,
perennial wetland of west Bengal, India. International Journal of
Conservation Science 12(1): 281–290.
Newton, I.
(2006). Can
conditions experienced during migration limit the population levels of birds? Journal
of Ornithology 147: 146–166.
Norris, R.
& D.P. Marra (2007). Seasonal interactions, habitat
quality, and population dynamics in migratory birds. The Condor 109(3):
535–547. https://doi.org/10.1093/condor/109.3.535
Ochando, B. (1988). Bird inventory and count method
in a forest environment. application to Algeria. Annale
de l’institut national agronomique
El Harrache 12: 47–59.
Ouarti, L., N. Nouri, A. Lazli, K. Missaoui & M. Houhamdi (2023). Phenology and spatio-temporal distribution of Ardeidae
in Lac Tonga (North-eastern Algeria). Ukrainian Journal of Ecology
13(1): 37–49. https://doi.org/10.15421/ 2023_422
Pearson, K.
(1901). LIII. On
lines and planes of closest fit to systems of points in space. The London,
Edinburgh, and Dublin Philosophical Magazine and Journal of Science 2(11):
559–572.
Pielou, E.C. (1975). Ecological diversity. John Wiley
& Sons, New York, 165 pp.
Sekercioglu, C.H., G.C. Daily & P.R.
Ehrlich (2004). Ecosystem
consequences of bird declines. Proceedings of the National Academy of
Sciences 101(52): 18042–18047.
Shannon, C.E.
& W. Weaver (1964). The mathematical theory of communication. University of Illinois Press,
Urbana, 131 pp.
Shurin, J.B., E.T. Borer & E.W. Seabloom (2002). A cross-ecosystem comparison of
the strength of trophic cascades. Ecology Letters 5(6): 785–791.
Vaughan, I.P.
& S.J. Ormerod (2005). Increasing the value of principal components analysis for simplifying
ecological data: a case study with rivers and river birds. Journal of
Applied Ecology 42(3): 487–497.
Vázquez, D.P., C.J. Melián, N.M. Williams, N. Bluthgen,
B.R. Krasnov & R. Poulin (2007). Species abundance and asymmetric interaction strength
in ecological networks. Oikos 116(7): 1120–1127. https://doi.org/10.1111/j.0030-1299.2007.15828