Next Article in Journal
Distribution Patterns and Multilevel Factors of the Innovation Activities of China’s New Energy Vehicle Industry
Previous Article in Journal
A Study of Diffusion Equation-Based Land-Use/Land-Cover Change Simulation
Article

Remote Sensing Methods for the Biophysical Characterization of Protected Areas Globally: Challenges and Opportunities

1
Soil Erosion and Conservation Research Group, Spanish Research Council (CEBAS-CSIC), E-30100 Murcia, Spain
2
Joint Research Centre (JRC), European Commission, I-21027 Ispra, Italy
3
School of Natural Science, Bangor University, Bangor LL57 2DG, UK
4
Rothamsted Research, Harpenden AL5 2JQ, UK
5
Arcadia Sistemi Informativi Territoriali Sr., I-27029 Vigevano, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Florencia Sangermano, John Rogan, Robert Rose and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(6), 384; https://doi.org/10.3390/ijgi10060384
Received: 24 March 2021 / Revised: 3 May 2021 / Accepted: 28 May 2021 / Published: 4 June 2021
(This article belongs to the Special Issue Conservation Applications of Spatial Analysis and Remote Sensing)
Protected areas (PAs) are a key strategy to reverse global biodiversity declines, but they are under increasing pressure from anthropogenic activities and concomitant effects. Thus, the heterogeneous landscapes within PAs, containing a number of different habitats and ecosystem types, are in various degrees of disturbance. Characterizing habitats and ecosystems within the global protected area network requires large-scale monitoring over long time scales. This study reviews methods for the biophysical characterization of terrestrial PAs at a global scale by means of remote sensing (RS) and provides further recommendations. To this end, we first discuss the importance of taking into account the structural and functional attributes, as well as integrating a broad spectrum of variables, to account for the different ecosystem and habitat types within PAs, considering examples at local and regional scales. We then discuss potential variables, challenges and limitations of existing global environmental stratifications, as well as the biophysical characterization of PAs, and finally offer some recommendations. Computational and interoperability issues are also discussed, as well as the potential of cloud-based platforms linked to earth observations to support large-scale characterization of PAs. Using RS to characterize PAs globally is a crucial approach to help ensure sustainable development, but it requires further work before such studies are able to inform large-scale conservation actions. This study proposes 14 recommendations in order to improve existing initiatives to biophysically characterize PAs at a global scale. View Full-Text
Keywords: protected areas; remote sensing; biophysical characterization protected areas; remote sensing; biophysical characterization
Show Figures

Figure 1

MDPI and ACS Style

Martínez-López, J.; Bertzky, B.; Willcock, S.; Robuchon, M.; Almagro, M.; Delli, G.; Dubois, G. Remote Sensing Methods for the Biophysical Characterization of Protected Areas Globally: Challenges and Opportunities. ISPRS Int. J. Geo-Inf. 2021, 10, 384. https://doi.org/10.3390/ijgi10060384

AMA Style

Martínez-López J, Bertzky B, Willcock S, Robuchon M, Almagro M, Delli G, Dubois G. Remote Sensing Methods for the Biophysical Characterization of Protected Areas Globally: Challenges and Opportunities. ISPRS International Journal of Geo-Information. 2021; 10(6):384. https://doi.org/10.3390/ijgi10060384

Chicago/Turabian Style

Martínez-López, Javier; Bertzky, Bastian; Willcock, Simon; Robuchon, Marine; Almagro, María; Delli, Giacomo; Dubois, Grégoire. 2021. "Remote Sensing Methods for the Biophysical Characterization of Protected Areas Globally: Challenges and Opportunities" ISPRS Int. J. Geo-Inf. 10, no. 6: 384. https://doi.org/10.3390/ijgi10060384

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop