Multi-scale habitat requirements of forest bird species in a highly fragmented landscape

Chiatante, Gianpasquale; Porro, Zeno; Musacchio, Arianna; Bazzocchi, Arianna; Meriggi, Alberto

doi:10.1007/s10336-019-01664-9

Cited by 15 publications

(5 citation statements)

References 105 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, it is likely that the environmental factors shaping the species’ occurrence operate at a different resolution than the one used in this study, at least for some species. Indeed, some studies underline that environmental factors act at many different spatial scales (Chiatante et al, 2019; Fischer & Lindenmayer, 2007; Jackson & Fahrig, 2015). Furthermore, in some cases using isolated marginal records can lead to substantial overestimations of niches and, consequently, of geographically suitable areas (Soley‐Guardia et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Spatial distribution of an assemblage of an endemic genus of birds: an example from Madagascar

Chiatante

2021

Afr J Ecol

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial distribution of an assemblage of an endemic genus of birds: an example from Madagascar

Chiatante

2021

Afr J Ecol

Self Cite

View full text Add to dashboard Cite

show abstract

“…We selected six metrics to characterize the spatial configuration of forest fragments: Area, defined by fragment surface (ha); Shape index, accounting for the edge effect and calculated as the ratio between patch area (ha) and perimeter (m); DNSA, accounting for source area effect and defined by the distance (m) of the fragment from the nearest source area (i.e., the nearest forest fragment with an area higher than 1000 ha, Dondina et al 2017); Isolation FA, accounting for forest isolation and defined by the total amount of forest and poplar plantations cover in a 1-km buffer around the fragment (ha); Isolation NF, accounting for the archipelago effect (Simberloff and Abele 1982;Gotelli 2008) and defined by the number of forest and poplar plantation fragments in a 1-km buffer around the fragment; and Isolation NH, accounting for landscape permeability (Mortelliti et al 2010) and defined by the number of continuous hedgerows in a 1-km buffer around the fragment. We jointly considered forests and poplar plantations to calculate Isolation FA and Isolation NF metrics because poplar plantation can play the role of "soft" matrix elements (sensu Lindenmayer and Fischer 2013) for forest birds (Chiatante et al 2019). We considered the number of continuous hedgerows in the surrounding of fragments because evidence regarding the role of these landscape elements in increasing connectivity for forest birds exist (Bennett et al 2004;Ernoult et al 2006).…”

Section: Nestedness Driversmentioning

confidence: 99%

Long-term dynamic of nestedness in bird assemblages inhabiting fragmented landscapes

et al. 2022

View full text Add to dashboard Cite

Context Nestedness is a common pattern of species assemblages in fragmented landscapes. The spatial pattern and ecological drivers of nested communities have been widely explored, but few studies investigated their long-term variability. Objectives To investigate the variability of nestedness and species-specific fragment occupancy of forest birds in a fragmented landscape affected by environmental changes over 16 years. Methods Data were obtained from the Monitoring Program of Breeding Birds in Lombardy (northern Italy). For two study periods (1997–2001, 2013–2017), we tested for overall nestedness and for sites and species nestedness independently using the NODF metric. We tested for nestedness drivers (variable selection on multiple linear regression models) and evaluated the effect of species ecological traits on fragment occupancy changes (variable selection on multiple linear regression model). Results The community showed a significant nestedness driven by both selective extinction and selective colonization in both study periods. Sites nestedness was significant in the second study period only. Over 16 years the effect of distance from source areas was completely lost and only local isolation conditions drove selective colonization in the second study period. Between the two study periods, we discovered a general occupancy decrease of interior species and a significant occupancy increase of generalist species characterized by large size and large minimum area requirement. Conclusions Nestedness drivers of the investigated community significantly varied over time probably because of both environmental and demographic changes. Long-term studies are crucial to explore spatial pattern changes and to address management strategies for species conservation in fragmented landscapes.

show abstract

“…This study is important in identifying the consequence of habitat change on the habitat suitability of the Timor friarbird. This information is the basic knowledge for effective decision-making for habitat conservation (Wauchope-drumm et al 2019;Chiatante et al 2019). This study aims to assess landscape factors that contribute to the habitat suitability of the Timor friarbird and to determine whether the western part of Timor Island is the optimum habitat for the species.…”

Section: Introductionmentioning

confidence: 99%

The habitat suitability of Timor friarbird (Philemon inornatus) in Western Timor Island, Indonesia

et al. 2022

View full text Add to dashboard Cite

Abstract. Paga B, Pudyatmoko S, Wijayanti LR, Yuda P, Sulaksono N. 2021. The habitat suitability of Timor friarbird (Philemon inornatus) in Western Timor Island, Indonesia. Biodiversitas 23: 703-713. Timor friarbird is an endemic bird to Timor Island. The population of this bird has been declining due to land cover changes as a result of massive anthropogenic pressures. This study aimed to assess the suitability of Timor friarbird's habitat by using 12 ecogeographical variables. The sources of data included Sentinel 2A satellite imagery and remote sensing-based algorithms. The bird's presence was analyzed by using a combination of line transect with point count methods. Ecological Niche Factor Analysis (ENFA) model was applied to obtain habitat suitability value as well as coefficient of marginality (M) and specialization (S). These results showed that the Timor friarbird needs a habitat with a different value from the average of the entire habitat. High specialization value indicated that the species has a narrow ecological niche. Factors influencing habitat suitability included the distance from roads, the presence of mangroves, primary and secondary dryland forests, rivers, and low-density settlements. About 75% of the study area is classified as unsuitable habitat, and only 22% is suitable with range classes of suitability from marginal to optimal habitat. Areas with less anthropogenic pressure on the land cover will be preferred more by the bird. Improvement of unsuitable habitat and protection of suitable habitat, therefore, will be the most important strategy for Timor friarbird conservation.

show abstract

Multi-scale habitat requirements of forest bird species in a highly fragmented landscape

Cited by 15 publications

References 105 publications

Spatial distribution of an assemblage of an endemic genus of birds: an example from Madagascar

Spatial distribution of an assemblage of an endemic genus of birds: an example from Madagascar

Long-term dynamic of nestedness in bird assemblages inhabiting fragmented landscapes

The habitat suitability of Timor friarbird (Philemon inornatus) in Western Timor Island, Indonesia

Contact Info

Product

Resources

About