Literature DB >> 25319024

Ten ways remote sensing can contribute to conservation.

Robert A Rose1, Dirck Byler, J Ron Eastman, Erica Fleishman, Gary Geller, Scott Goetz, Liane Guild, Healy Hamilton, Matt Hansen, Rachel Headley, Jennifer Hewson, Ned Horning, Beth A Kaplin, Nadine Laporte, Allison Leidner, Peter Leimgruber, Jeffrey Morisette, John Musinsky, Lilian Pintea, Ana Prados, Volker C Radeloff, Mary Rowen, Sassan Saatchi, Steve Schill, Karyn Tabor, Woody Turner, Anthony Vodacek, James Vogelmann, Martin Wegmann, David Wilkie, Cara Wilson.   

Abstract

In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group of remote sensing scientists affiliated with government and academic institutions and conservation organizations identified 10 questions in conservation for which the potential to be answered would be greatly increased by use of remotely sensed data and analyses of those data. Our goals were to increase conservation practitioners' use of remote sensing to support their work, increase collaboration between the conservation science and remote sensing communities, identify and develop new and innovative uses of remote sensing for advancing conservation science, provide guidance to space agencies on how future satellite missions can support conservation science, and generate support from the public and private sector in the use of remote sensing data to address the 10 conservation questions. We identified a broad initial list of questions on the basis of an email chain-referral survey. We then used a workshop-based iterative and collaborative approach to whittle the list down to these final questions (which represent 10 major themes in conservation): How can global Earth observation data be used to model species distributions and abundances? How can remote sensing improve the understanding of animal movements? How can remotely sensed ecosystem variables be used to understand, monitor, and predict ecosystem response and resilience to multiple stressors? How can remote sensing be used to monitor the effects of climate on ecosystems? How can near real-time ecosystem monitoring catalyze threat reduction, governance and regulation compliance, and resource management decisions? How can remote sensing inform configuration of protected area networks at spatial extents relevant to populations of target species and ecosystem services? How can remote sensing-derived products be used to value and monitor changes in ecosystem services? How can remote sensing be used to monitor and evaluate the effectiveness of conservation efforts? How does the expansion and intensification of agriculture and aquaculture alter ecosystems and the services they provide? How can remote sensing be used to determine the degree to which ecosystems are being disturbed or degraded and the effects of these changes on species and ecosystem functions?
© 2014 Society for Conservation Biology.

Keywords:  applied research; biodiversidad; biodiversity; investigación aplicada; marco de prioridad; priority setting; remote sensing; teledetección

Mesh:

Year:  2014        PMID: 25319024     DOI: 10.1111/cobi.12397

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  15 in total

1.  Spatial models reveal the microclimatic buffering capacity of old-growth forests.

Authors:  Sarah J K Frey; Adam S Hadley; Sherri L Johnson; Mark Schulze; Julia A Jones; Matthew G Betts
Journal:  Sci Adv       Date:  2016-04-22       Impact factor: 14.136

2.  Using fragmentation to assess degradation of forest edges in Democratic Republic of Congo.

Authors:  Aurélie C Shapiro; Naikoa Aguilar-Amuchastegui; Patrick Hostert; Jean-François Bastin
Journal:  Carbon Balance Manag       Date:  2016-06-22

3.  Predicting Avian Influenza Co-Infection with H5N1 and H9N2 in Northern Egypt.

Authors:  Sean G Young; Margaret Carrel; George P Malanson; Mohamed A Ali; Ghazi Kayali
Journal:  Int J Environ Res Public Health       Date:  2016-09-06       Impact factor: 3.390

4.  Predators, Prey and Habitat Structure: Can Key Conservation Areas and Early Signs of Population Collapse Be Detected in Neotropical Forests?

Authors:  Benoit de Thoisy; Ibrahim Fayad; Luc Clément; Sébastien Barrioz; Eddy Poirier; Valéry Gond
Journal:  PLoS One       Date:  2016-11-09       Impact factor: 3.240

5.  Monitoring protected areas from space: A multi-temporal assessment using raptors as biodiversity surrogates.

Authors:  Adrián Regos; Luis Tapia; Alberto Gil-Carrera; Jesús Domínguez
Journal:  PLoS One       Date:  2017-07-24       Impact factor: 3.240

6.  Patterns of satellite tagged hen harrier disappearances suggest widespread illegal killing on British grouse moors.

Authors:  Megan Murgatroyd; Stephen M Redpath; Stephen G Murphy; David J T Douglas; Richard Saunders; Arjun Amar
Journal:  Nat Commun       Date:  2019-03-19       Impact factor: 14.919

7.  Remote sensing pipeline for tree segmentation and classification in a mixed softwood and hardwood system.

Authors:  Conor A McMahon
Journal:  PeerJ       Date:  2019-02-28       Impact factor: 2.984

Review 8.  The future of hyperdiverse tropical ecosystems.

Authors:  Jos Barlow; Filipe França; Toby A Gardner; Christina C Hicks; Gareth D Lennox; Erika Berenguer; Leandro Castello; Evan P Economo; Joice Ferreira; Benoit Guénard; Cecília Gontijo Leal; Victoria Isaac; Alexander C Lees; Catherine L Parr; Shaun K Wilson; Paul J Young; Nicholas A J Graham
Journal:  Nature       Date:  2018-07-25       Impact factor: 49.962

9.  Ungulate Reproductive Parameters Track Satellite Observations of Plant Phenology across Latitude and Climatological Regimes.

Authors:  David C Stoner; Joseph O Sexton; Jyoteshwar Nagol; Heather H Bernales; Thomas C Edwards
Journal:  PLoS One       Date:  2016-02-05       Impact factor: 3.240

10.  Toward an integrated approach to crop production and pollination ecology through the application of remote sensing.

Authors:  Bryony K Willcox; Andrew J Robson; Brad G Howlett; Romina Rader
Journal:  PeerJ       Date:  2018-10-19       Impact factor: 2.984

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