Literature DB >> 23703708

Rates of disturbance vary by data resolution: implications for conservation schedules using the Alberta boreal forest as a case study.

P E Komers1, Z Stanojevic.   

Abstract

Investigations of biophysical changes on earth caused by anthropogenic disturbance provide governments with tools to generate sustainable development policy. Canada currently experiences one of the fastest rates of boreal forest disturbance in the world. Plans to conserve the 330 000 km(2) boreal forest in the province of Alberta exist but conservation targets and schedules must be aligned with rates of forest disturbance. We explore how disturbance rate, and the accuracy with which we detect it, may affect conservation success. We performed a change detection analysis from 1992 to 2008 using Landsat and SPOT satellite image data processing. Canada's recovery strategy for boreal caribou (Rangifer tarandus caribou) states that ≤35% of a caribou range can be either burned or within 500 m of a man-made feature for caribou to recover. Our analyses show that by 2008 78% of the boreal forest was disturbed and that, if the current rate continues, 100% would be disturbed by 2028. Alberta plans to set aside 22% for conservation in a region encompassing oil sands development to balance economic, environmental, and traditional indigenous land-use goals. Contrary to the federal caribou recovery strategy, provincial conservation plans do not consider wildfire a disturbance. Based on analyses used in the provincial plan, we apply a 250 m buffer around anthropogenic footprints. Landsat image analysis indicates that the yearly addition of disturbance is 714 km(2) (0.8%). The higher resolution SPOT images show fine-scale disturbance indicating that actual disturbance was 1.28 times greater than detected by Landsat. If the SPOT image based disturbance rates continue, the 22% threshold may be exceeded within the next decade, up to 20 years earlier than indicated by Landsat-based analysis. Our results show that policies for sustainable development will likely fail if governments do not develop time frames that are grounded by accurate calculations of disturbance rates.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  boreal forest; caribou recovery; change detection; conservation planning; disturbance; land-use; oil sands

Mesh:

Year:  2013        PMID: 23703708     DOI: 10.1111/gcb.12266

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  7 in total

1.  Motorized Activity on Legacy Seismic Lines: A Predictive Modeling Approach to Prioritize Restoration Efforts.

Authors:  M L Hornseth; K E Pigeon; D MacNearney; T A Larsen; G Stenhouse; J Cranston; L Finnegan
Journal:  Environ Manage       Date:  2018-05-11       Impact factor: 3.266

2.  Toward the Restoration of Caribou Habitat: Understanding Factors Associated with Human Motorized Use of Legacy Seismic Lines.

Authors:  Karine E Pigeon; Meghan Anderson; Doug MacNearney; Jerome Cranston; Gordon Stenhouse; Laura Finnegan
Journal:  Environ Manage       Date:  2016-09-02       Impact factor: 3.266

3.  Conservation of wildlife populations: factoring in incremental disturbance.

Authors:  Abbie Stewart; Petr E Komers
Journal:  Ecol Evol       Date:  2017-05-07       Impact factor: 2.912

4.  A meta-analysis of home range studies in the context of trophic levels: Implications for policy-based conservation.

Authors:  Catherine Fauvelle; Rianne Diepstraten; Tyler Jessen
Journal:  PLoS One       Date:  2017-03-07       Impact factor: 3.240

5.  Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017).

Authors:  Tedros M Berhane; Charles R Lane; Samson G Mengistu; Jay Christensen; Heather E Golden; Shi Qiu; Zhe Zhu; Qiusheng Wu
Journal:  Remote Sens (Basel)       Date:  2020-02-25       Impact factor: 4.848

6.  American marten respond to seismic lines in northern Canada at two spatial scales.

Authors:  Jesse Tigner; Erin M Bayne; Stan Boutin
Journal:  PLoS One       Date:  2015-03-13       Impact factor: 3.240

7.  Cumulative effects of human footprint, natural features and predation risk best predict seasonal resource selection by white-tailed deer.

Authors:  Siobhan Darlington; Andrew Ladle; A Cole Burton; John P Volpe; Jason T Fisher
Journal:  Sci Rep       Date:  2022-01-20       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.