Forest vertical complexity affects alpha and beta diversity of small mammals

Camargo, Nícholas F. de; Sano, Nayara Yoshie; Vieira, Emerson M.

doi:10.1093/jmammal/gyy136

Cited by 40 publications

(37 citation statements)

References 52 publications

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“…In fact, experimental evaluation of locomotor performance indicated that this species presents an arboreal walking ability similar to highly arboreal species (Camargo et al 2016). This sigmodontine rat, however, presents a typical scansorial pattern of vertical space use in the Cerrado (Camargo, Sano & Vieira, 2018). Moreover, Ol.…”

Section: Discussionmentioning

confidence: 92%

“…). This sigmodontine rat, however, presents a typical scansorial pattern of vertical space use in the Cerrado (Camargo, Sano & Vieira, ). Moreover, Ol .…”

Section: Discussionmentioning

confidence: 99%

“…This variation in the use of vertical space by Ol. nigripes is related to ecological factors such as structure and availability of vertical space (Hannibal & Caceres, ; Camargo et al ., ), competition (Meserve, ; Miles, Souza & Povoa, ), or predation (Bonvicino & Bezerra, ). Although this plasticity could explain the expanded cranial shape of Oligoryzomys species considering the dorsal view of the cranium, they were positioned along the CV1 axis of the lateral view of the cranium as expected for scansorial species (between terrestrial and arboreal rodents).…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, Ol. nigripes is able to vary its proportional use of vertical strata across different environments (Vieira & Monteiro-Filho, 2003;Camargo et al, 2018). This variation in the use of vertical space by Ol.…”

Section: Discussionmentioning

confidence: 99%

“…Assessing the composition of small mammal assemblages with captures in different vertical strata is recommended (Camargo et al, 2018), but not always achievable (Vieira, 1998). In such cases, considering morphological features as a proxy for inferring arboreal activity of sigmodontine rodents can be useful, since even highly arboreal species are occasionally captured on the ground (Umetsu, Naxara & Pardini, 2006;Camargo et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

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Cranial shape predicts arboreal activity of Sigmodontinae rodents

et al. 2019

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Brain enlargement is an adaptation in animals that use the space in three dimensions and need to integrate information of complex environments. As consequence, this adaptation can result in differences in skull shape among species with different types of locomotion and level of arboreality. We directly tested for the relation between the cranial shape and arboreality (based on field data) of 11 Sigmodontinae rodent species from a Neotropical savanna (Cerrado). For that, we used geometric morphometrics considering both dorsal and lateral views of the cranium. We also accounted for any possible allometric effects (i.e. the relationship between size and shape) and evolutionary constraints (i.e. phylogenetic signal) on the cranial shape. The dorsal view presented strong allometric effects but no phylogenetic signal. On the other hand, the lateral view showed a weak allometric effect and a significant phylogenetic signal. After controlling for size and evolutionary constraints, we found significant relationships between rodent arboreality and cranial shape for both lateral (r2 = 0.74) and dorsal cranium views (r2 = 0.40). Patterns for both views showed that arboreal rodents present more expanded crania, suggesting larger brains. The dorsal view showed a general cranial expansion in arboreal rodents, whereas the lateral view showed a more rounded and posteriorly expanded cranium. This later suggests a larger cerebellum, an important brain portion responsible for orientation and sense of balance. Our study provides evidence that the cranial shape can be used as a proxy to infer arboreal activity of sigmodontine rodents. Moreover, the observed differences in cranial shape between arboreal and terrestrial species are probably related to brain enlargement in the former driven by the need to cope with a three‐dimensional environment.

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Section: Discussionmentioning

confidence: 92%

“…). This sigmodontine rat, however, presents a typical scansorial pattern of vertical space use in the Cerrado (Camargo, Sano & Vieira, ). Moreover, Ol .…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Cranial shape predicts arboreal activity of Sigmodontinae rodents

et al. 2019

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StrucNet: a global network for automated vegetation structure monitoring

Calders

Brede

Newnham

et al. 2023

Remote Sens Ecol Conserv

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Climate change and increasing human activities are impacting ecosystems and their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) and essential climate variables are used to monitor biodiversity and carbon dynamics and evaluate policy and management interventions. Ecosystem structure is at the core of EBVs and carbon stock estimation and can help to inform assessments of species and species diversity. Ecosystem structure is also used as an indirect indicator of habitat quality and expected species richness or species community composition. Spaceborne measurements can provide large‐scale insight into monitoring the structural dynamics of ecosystems, but they generally lack consistent, robust, timely and detailed information regarding their full three‐dimensional vegetation structure at local scales. Here we demonstrate the potential of high‐frequency ground‐based laser scanning to systematically monitor structural changes in vegetation. We present a proof‐of‐concept high‐temporal ecosystem structure time series of 5 years in a temperate forest using terrestrial laser scanning (TLS). We also present data from automated high‐temporal laser scanning that can allow upscaling of vegetation structure scanning, overcoming the limitations of a typically opportunistic TLS measurement approach. Automated monitoring will be a critical component to build a network of field monitoring sites that can provide the required calibration data for satellite missions to effectively monitor the structural dynamics of vegetation over large areas. Within this perspective, we reflect on how this network could be designed and discuss implementation pathways.

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Positional Behavior and Locomotor Performance of American Marsupials: Links with Habitat and Substrate Use

Delciellos

Vieira²

2022

American and Australasian Marsupials

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Forest vertical complexity affects alpha and beta diversity of small mammals

Cited by 40 publications

References 52 publications

Cranial shape predicts arboreal activity of Sigmodontinae rodents

Cranial shape predicts arboreal activity of Sigmodontinae rodents

StrucNet: a global network for automated vegetation structure monitoring

Positional Behavior and Locomotor Performance of American Marsupials: Links with Habitat and Substrate Use

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