Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Computational geometry applied to develop new metrics of road and edge effects and their performance to understand the distribution of small mammals in an Atlantic forest landscape

Full text
Author(s):
Freitas, Simone R. [1] ; Constantino, Everton [2] ; Alexandrino, Marcos M. [3]
Total Authors: 3
Affiliation:
[1] Univ Fed ABC, Ave Estados 5001, Bloco A, Sala 631-3, BR-09210580 Santo Andre, SP - Brazil
[2] Univ Estadual Campinas, Campinas, SP - Brazil
[3] Univ Sao Paulo, Inst Math & Stat, Dept Math, Sao Paulo, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: ECOLOGICAL MODELLING; v. 388, p. 24-30, NOV 24 2018.
Web of Science Citations: 0
Abstract

Roads negatively affect many vertebrate species, whereas edge effect may favor some generalist species. This study aims to: 1) present a new way to calculate ``line integral effects{''}, represented by LIE and AVLIE, through new computer software, making this concept accessible to a broad audience of researchers interested in the study of Road Ecology and Tropical Forest Ecology; and, 2) test the performance of LIE and AVLIE indices, applied to road effect (LIE\_road and AVLIE road) and to edge effect (LIE edge and AVLIE\_edge), other road effect indices and forest area, using a data set on small mammal abundance in a human modified landscape in the Brazilian Atlantic Forest. Road and edge effects were represented by new metrics: Line Integral Effect (LIE) and Average Integral Effect (AVLIE), calculated using Line Integral from Differential Calculus of Several Variables through new free software developed by the second author. LIE road and LIE edge measure the total sum of the effect of roads (represented by lines) and edges (polygons), respectively, in relation to the forest fragment (point). AVLIE\_road and AVLIE edge measure the average of road and edge effect, respectively, in relation to the same sampling point. We used generalized linear regression models to explore the relationships between the abundance of the two groups of small mammals (forest specialists and habitat generalists) and the independent variables representing road, edge and forest effects. For forest specialists, the best model included AVLIE\_road (negatively associated with abundance) and AVLIE edge (negatively associated), while for habitat generalists, the best model included AVLIE road (negatively associated) and LIE edge (positively associated). Thus, there are more small mammals where road effect is lower. Forest fragments with higher edge effect showed more habitat generalists and less forest specialists. LIE and AVLIE could be useful metrics to explore edge effect separately to road effect on wildlife in forest fragments. (AU)

FAPESP's process: 16/23746-6 - Algebraic, topological and analytical techniques in differential geometry and geometric analysis
Grantee:Paolo Piccione
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 99/05123-4 - Biodiversity conservation in fragmented landscapes at the Atlantic Plateau of São Paulo (Brazil)
Grantee:Jean Paul Walter Metzger
Support Opportunities: BIOTA-FAPESP Program - Thematic Grants
FAPESP's process: 01/13309-2 - Effects of the fragmentation of the Atlantic Rainforest: a comparative study between landscapes and groups of species of small vertebrates
Grantee:Renata Pardini
Support Opportunities: Scholarships in Brazil - Post-Doctoral