Literature DB >> 29149749

The role of satellite remote sensing in structured ecosystem risk assessments.

Nicholas J Murray1, David A Keith2, Lucie M Bland3, Renata Ferrari4, Mitchell B Lyons5, Richard Lucas6, Nathalie Pettorelli7, Emily Nicholson8.   

Abstract

The current set of global conservation targets requires methods for monitoring the changing status of ecosystems. Protocols for ecosystem risk assessment are uniquely suited to this task, providing objective syntheses of a wide range of data to estimate the likelihood of ecosystem collapse. Satellite remote sensing can deliver ecologically relevant, long-term datasets suitable for analysing changes in ecosystem area, structure and function at temporal and spatial scales relevant to risk assessment protocols. However, there is considerable uncertainty about how to select and effectively utilise remotely sensed variables for risk assessment. Here, we review the use of satellite remote sensing for assessing spatial and functional changes of ecosystems, with the aim of providing guidance on the use of these data in ecosystem risk assessment. We suggest that decisions on the use of satellite remote sensing should be made a priori and deductively with the assistance of conceptual ecosystem models that identify the primary indicators representing the dynamics of a focal ecosystem.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Biodiversity monitoring; Earth observation; Ecological indicators; Ecosystem status; Risk assessment; Satellite remote sensing

Mesh:

Year:  2017        PMID: 29149749     DOI: 10.1016/j.scitotenv.2017.11.034

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Anthropization in the coastal zone associated with Mexican mangroves (2005-2015).

Authors:  Velázquez Salazar Samuel; Valderrama Landeros Luis Humberto; Rodríguez Zúñiga María Teresa; Cruz López María Isabel
Journal:  Environ Monit Assess       Date:  2019-07-29       Impact factor: 2.513

Review 2.  The effects of habitat loss and fragmentation on plant functional traits and functional diversity: what do we know so far?

Authors:  Jenny Zambrano; Carol X Garzon-Lopez; Lauren Yeager; Claire Fortunel; Norbert J Cordeiro; Noelle G Beckman
Journal:  Oecologia       Date:  2019-09-13       Impact factor: 3.225

3.  A function-based typology for Earth's ecosystems.

Authors:  David A Keith; José R Ferrer-Paris; Emily Nicholson; Melanie J Bishop; Beth A Polidoro; Eva Ramirez-Llodra; Mark G Tozer; Jeanne L Nel; Ralph Mac Nally; Edward J Gregr; Kate E Watermeyer; Franz Essl; Don Faber-Langendoen; Janet Franklin; Caroline E R Lehmann; Andrés Etter; Dirk J Roux; Jonathan S Stark; Jessica A Rowland; Neil A Brummitt; Ulla C Fernandez-Arcaya; Iain M Suthers; Susan K Wiser; Ian Donohue; Leland J Jackson; R Toby Pennington; Thomas M Iliffe; Vasilis Gerovasileiou; Paul Giller; Belinda J Robson; Nathalie Pettorelli; Angela Andrade; Arild Lindgaard; Teemu Tahvanainen; Aleks Terauds; Michael A Chadwick; Nicholas J Murray; Justin Moat; Patricio Pliscoff; Irene Zager; Richard T Kingsford
Journal:  Nature       Date:  2022-10-12       Impact factor: 69.504

4.  A Computational Model of Watermark Algorithmic Robustness Capable of Resisting Image Cropping for Remote Sensing Images.

Authors:  Deyu Tong; Na Ren; Wenzhong Shi; Changqing Zhu
Journal:  Sensors (Basel)       Date:  2018-06-29       Impact factor: 3.576

5.  Machine learning with remote sensing data to locate uncontacted indigenous villages in Amazonia.

Authors:  Robert S Walker; Marcus J Hamilton
Journal:  PeerJ Comput Sci       Date:  2019-01-07

6.  High-resolution global maps of tidal flat ecosystems from 1984 to 2019.

Authors:  Nicholas J Murray; Stuart P Phinn; Richard A Fuller; Michael DeWitt; Renata Ferrari; Renee Johnston; Nicholas Clinton; Mitchell B Lyons
Journal:  Sci Data       Date:  2022-09-06       Impact factor: 8.501

  6 in total

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