Bird species richness in artificial plantations and natural forests in a North African agroforestry system: assessment and implications

Hanane, Saâd; Cherkaoui, Sidi Imad; Magri, Najib; Yassin, M. Mohamed

doi:10.1007/s10457-018-0281-z

Cited by 19 publications

(18 citation statements)

References 53 publications

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“…The local vegetation structure, for instance, (a) tree and shrub density/cover (Jakobsson & Lindborg, 2017; Li et al, 2019; Söderström et al, 2001), (b) plant species richness (Baláž & Balážová, 2012; Šálek, Svobodová, & Zasadil, 2010) and (c) canopy height (Robbins, 1980), often contributes to increasing the richness and diversity of birds. The difference in habitat type may also affect the bird diversity such as when comparing natural forests to artificial plantations (Hanane, Cherkaoui, Magri, & Yassin, 2019; Marsden et al, 2001; Zurita et al, 2006). Climate factors such as precipitation and temperature are also determinant in shaping bird richness (Li et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

The effect of microhabitat features, anthropogenic pressure and spatial structure on bird diversity in southern Tunisian agroecosystems

Hamza

Hanane²

2021

Annals of Applied Biology

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In southern Tunisia, oases and olive orchards are the two main agroecosystems, hence the importance of investigating their value for native fauna. Using generalised linear mixed models, we assessed the relative value of oases and olive plantations over the wintering and the breeding periods by comparing their avifauna diversity using the Shannon diversity index. We also used data on a series of microhabitat features, anthropogenic pressure and spatial parameters to identify the best predictors of bird diversity. In total, 32 species belonging to 18 families were recorded. Sedentary birds accounted for 47% of the counts. Our results showed that bird diversity depends on habitat type, being higher in oases than in olive plantations, but not on the season as no difference was recorded during the two periods of wintering and breeding. The assessment of the effects of microhabitat features, anthropogenic pressure and spatial structure revealed that bird diversity was positively influenced by the cover of trees in oases and olive orchards, negatively affected by distance to edge and that to the paved road in the olive orchards and spatially structured in both agroecosystems. Variation partitioning analysis revealed that the pure effect of microhabitat features (tree cover) was important in explaining the bird diversity both in oases and olive orchards. The identification of factors affecting bird diversity is of great importance for the efficient management of these agroecosystems. Special attention should be paid to keeping a good tree cover. This cannot be performed without: (a) increasing irrigation frequency, (b) adequate tree maintenance (pruning) and (c) reduction of pesticide application. Also, the synergy among owners, farmers, managers and researchers is recommended for the conservation of bird diversity in this North African arid agricultural region.

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Section: Introductionmentioning

confidence: 99%

The effect of microhabitat features, anthropogenic pressure and spatial structure on bird diversity in southern Tunisian agroecosystems

Hamza

Hanane²

2021

Annals of Applied Biology

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“…All distance variables (i.e., management variable (Table 1 )) were measured using QGIS, whereas microhabitat features were collected in circular plots of 10-m radius (0.03 ha) (Maziarz and Broughton 2015 ). Within each of these plots, we visually estimated the covers (%) of trees, shrubs, herbaceous layer, and bare ground (Table 1 ) (Alaya-Ltifi and Selmi 2014 ; Hanane et al 2019 ).…”

Section: Methodsmentioning

confidence: 99%

Spatio-temporal pattern of latrine distribution in reintroduced Cuvier’s gazelles (Gazella cuvieri): an assessment in a Mediterranean forest reserve

Hanane

Amhaouch²

2021

Biologia

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“…Observations were made in a Moroccan natural Thuya forest (32.8 km 2 ) located within Oued Mellah watershed at the vicinity of Ben Ahmed city (Hanane & Yassin 2017;Hanane 2018;Hanane et al 2018). The study area receives 320 mm of mean annual rain, most of which falls during the winter rainy season (November-January).…”

Section: Study Areamentioning

confidence: 99%

“…In the study area, the tree layer consists mainly of Thuya in association with wild olive (Olea europaea oleaster) and Tizra tree (Rhus pentaphylla), whilst cereal crops are dominated by wheat (Triticum turgidum and Triticum aestivum) and barley (Hordeum vulgare). Vegetated ravines are dominated by the common rush (Juncus effusus), Oleander (Nerium oleander), and Chilean myrtle (Luma apiculata) (Hanane & Yassin 2017;Hanane 2018;Hanane et al 2018). In this landscape, olive orchards are distributed in very small patches (1.52 ± 0.05 ha) throughout the area (Hanane 2018).…”

Section: Study Areamentioning

confidence: 99%

“…Points were selected by drawing random points using the QGIS (Quantum GIS Development Team 2017) random selection tool. I recorded, during a period of 10 min, all turtle doves heard and seen at a fixed radius of 50 m (Sweeney et al 2010;Anjos et al 2011;Hanane et al 2018). All surveys were conducted during early morning and only under favourable meteorological conditions.…”

Section: Data Collectionmentioning

confidence: 99%

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Discriminating between nesting and non-nesting habitat in a vulnerable bird species: implications for behavioural ecology

Hanane

2019

European Journal of Ecology

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Nowadays, partitioning amongst nesting and non-nesting habitats is not much studied. Here, I investigate whether or not the turtle dove (Streptopelia turtur) nesting habitats overlap with those used for other purposes in a North African agroforestry system. A total of 33 nest points and 33 turtle dove presence points were considered. The study, conducted in May to June 2017, attempted to determine the factors that may play a role in discriminating between the nesting habitats and non-nesting habitats. I used a linear discriminant analysis (LDA) to test the relevance of proximity of food resources, forest edge and human presence variables in the distribution of the species. The results show substantial segregation in the habitats selected for nesting and those selected for other uses [average distance was 1129.69 ± 169.40 m (n = 66) with a maximum of 1518.6 m and a minimum of 617.72 m], with selection depending primarily on the proximity to forest edge and feeding areas. I discuss these findings and their implications on behavioural ecology and future researches of this vulnerable species. I suggest guidelines for future studies that will seek to better understand the behavioural dynamics of turtle doves in the Mediterranean agroforestry systems. This can only be done when disturbance covariates, such as: (i) forest logging, (ii) cereal harvesting and (iii) hunting and predation pressures, were imperatively taken into account.

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Bird species richness in artificial plantations and natural forests in a North African agroforestry system: assessment and implications

Cited by 19 publications

References 53 publications

The effect of microhabitat features, anthropogenic pressure and spatial structure on bird diversity in southern Tunisian agroecosystems

The effect of microhabitat features, anthropogenic pressure and spatial structure on bird diversity in southern Tunisian agroecosystems

Spatio-temporal pattern of latrine distribution in reintroduced Cuvier’s gazelles (Gazella cuvieri): an assessment in a Mediterranean forest reserve

Discriminating between nesting and non-nesting habitat in a vulnerable bird species: implications for behavioural ecology

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