A functional perspective on the analysis of land use and land cover data in ecology

Federico Riva, Scott E. Nielsen

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Assessments of large-scale changes in habitat are a priority for management and conservation. Traditional approaches use land use and land cover data (LULC) that focus mostly on “structural” properties of landscapes, rather than “functional” properties related to specific ecological processes. Here, we contend that designing functional analyses of LULC can provide important and complementary information to traditional, structural analyses. We substantiate this perspective with an example of functional changes in habitat due to industrial anthropogenic footprints in Alberta’s boreal forest, where there has been little overall forest loss (~ 6% structural change), but high levels of functional change (up to 93% functional change) for species’ habitat, biodiversity, and wildfire ignition. We discuss the methods needed to achieve functional LULC analyses, when they are most appropriate to add to structural assessments, and conclude by providing recommendations for analyses of LULC in a future of increasingly high-resolution, dynamic remote sensing data.
Original languageEnglish
Pages (from-to)1089-1100
JournalAmbio
Volume50
Issue number5
DOIs
Publication statusPublished - 1 May 2021
Externally publishedYes

Fingerprint

Dive into the research topics of 'A functional perspective on the analysis of land use and land cover data in ecology'. Together they form a unique fingerprint.

Cite this