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The dynamic matrix predicts population response to long-term experimental forest fragmentation.

Authors :
Bitters, Matthew E.
Hicks, Andrew
Holtz, Spencer
Acruri, Paulina
Wilson, Robert
Resasco, Julian
Davies, Kendi F.
Source :
Landscape Ecology; Jun2022, Vol. 37 Issue 6, p1483-1495, 13p
Publication Year :
2022

Abstract

Context: Earth's forests are fragmented. Species' long-term persistence depends on their conservation in fragmented landscapes with remnants embedded in a matrix of human land use. This matrix influences species' persistence in fragments by determining their degree of isolation and the extent to which edge effects alter habitat. Matrix habitat is often dynamic, so its impact on persistence of remnant species changes over time. Objectives: Previous research showed that the abundance response of predatory beetle species to matrix habitat predicted their response in fragments with a log-response ratio of about 0.5. When abundance declined in the matrix, there was a smaller but predictable decline in fragments. However, the predictive utility of a fragment:matrix log-response ratio needs testing with functionally different species, more detailed data, and a focus on mechanism. Methods: In the Wog Wog habitat fragmentation experiment, we follow a detritivorous amphipod 27 years after forest fragmentation. Results: The amphipod's response in habitat fragments was predicted by its response in the matrix with a log-response ratio of about 0.5, similar to predatory beetles. The amphipod's response was explained by its abiotic niche. The amphipod's short-term response did not predict its long-term response. Conclusions: The log-response ratio might generalize across the invertebrate food web. For two groups within the Wog Wog experiment, a species' dynamic response in matrix habitat predicted its persistence in fragments. Future work should explore the generality of this finding. With knowledge of projected land use of matrix habitat, a species' matrix response could be used for management planning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09212973
Volume :
37
Issue :
6
Database :
Complementary Index
Journal :
Landscape Ecology
Publication Type :
Academic Journal
Accession number :
157006206
Full Text :
https://doi.org/10.1007/s10980-022-01432-w