particularly loss of habitats such as coral reefs, can be linked with changes in fish
diversity. The surrounding physical environment (e.g., SST) is also a good predictor of marine biodiversity (Tittensor et al. 2010). Therefore, integrating habitat
surrogacy, habitat change trajectory, and physical variables can contribute to
assessments of biodiversity on coral reefs.
3.4.4 Integration with Management
Remote sensing is an important tool in MPA planning (Dalleau et al. 2010).
Mapping, in conjunction with recent advance in modeling development for MPA
selection (e.g., Possingham et al. 2000) can contribute to more effective management of coral reefs (Hamel and Andréfouët 2012; Fig. 3.6). Furthermore, the
integration of multiple, multi-scale data sources, including multispectral remote
sensing data, is needed to address key questions in coral reef management (Andréfouët et al. 2005; Chabanet et al. 2005). One outstanding example is the ‘‘Reefs at
Risk’’ program, which assesses the risks to global reefs by integrating data from
multiple sources, including information on coastal development, watershed-based
pollution, marine based pollution and damage, overfishing and destructive fishing
and past thermal stress (Burke et al. 2011). In this program, remote sensing provides
the reef location (Andréfouët et al. 2006), land use information and sea surface
temperatures (SST), and ReefBase (www.reefbase.org) serves as the GIS platform
to integrate all these data. ReefBase now includes other data sources such as MPA
boundaries and simple habitat maps derived from ALOS AVNIR2. Expanded
integration with other sources of data (Robinson et al. 2006), such as the Ocean
Biogeographic Information System (OBIS) data for marine biodiversity
(www.iobis.org/), is needed to continue improving our ability to assess ecosystem
services and biodiversity and plan future management of coral reefs.
Acknowledgments I thank J.A. Goodman, S.J. Purkis and S.R. Phinn for invitation to this book
project. This chapter is a contribution to the Biodiversity Priority Program at National Institute
for Environmental Studies and to the Strategic Research and Development Project S-9 supported
by the Environment Research & Technology Development Fund of the Ministry of the Environment, Japan.
Suggested Reading
Green EP, Mumby PJ, Edwards AJ, Clark CD (2000a) Remote sensing handbook for tropical
coastal management. UNESCO, Paris
Miller RL, Del Castillo CE, McKee BA (2005) Remote sensing of coastal aquatic environments.
Springer, Dordrecht
Mumby PJ, Skirving W, Strong AE, Hardy JT, LeDrew EF, Hochberg EJ, Stumpf RP, David LT
(2004a) Remote sensing of coral reefs and their physical environment. Mar Pollut Bull
48:219–228
72
H. Yamano
diversity. The surrounding physical environment (e.g., SST) is also a good predictor of marine biodiversity (Tittensor et al. 2010). Therefore, integrating habitat
surrogacy, habitat change trajectory, and physical variables can contribute to
assessments of biodiversity on coral reefs.
3.4.4 Integration with Management
Remote sensing is an important tool in MPA planning (Dalleau et al. 2010).
Mapping, in conjunction with recent advance in modeling development for MPA
selection (e.g., Possingham et al. 2000) can contribute to more effective management of coral reefs (Hamel and Andréfouët 2012; Fig. 3.6). Furthermore, the
integration of multiple, multi-scale data sources, including multispectral remote
sensing data, is needed to address key questions in coral reef management (Andréfouët et al. 2005; Chabanet et al. 2005). One outstanding example is the ‘‘Reefs at
Risk’’ program, which assesses the risks to global reefs by integrating data from
multiple sources, including information on coastal development, watershed-based
pollution, marine based pollution and damage, overfishing and destructive fishing
and past thermal stress (Burke et al. 2011). In this program, remote sensing provides
the reef location (Andréfouët et al. 2006), land use information and sea surface
temperatures (SST), and ReefBase (www.reefbase.org) serves as the GIS platform
to integrate all these data. ReefBase now includes other data sources such as MPA
boundaries and simple habitat maps derived from ALOS AVNIR2. Expanded
integration with other sources of data (Robinson et al. 2006), such as the Ocean
Biogeographic Information System (OBIS) data for marine biodiversity
(www.iobis.org/), is needed to continue improving our ability to assess ecosystem
services and biodiversity and plan future management of coral reefs.
Acknowledgments I thank J.A. Goodman, S.J. Purkis and S.R. Phinn for invitation to this book
project. This chapter is a contribution to the Biodiversity Priority Program at National Institute
for Environmental Studies and to the Strategic Research and Development Project S-9 supported
by the Environment Research & Technology Development Fund of the Ministry of the Environment, Japan.
Suggested Reading
Green EP, Mumby PJ, Edwards AJ, Clark CD (2000a) Remote sensing handbook for tropical
coastal management. UNESCO, Paris
Miller RL, Del Castillo CE, McKee BA (2005) Remote sensing of coastal aquatic environments.
Springer, Dordrecht
Mumby PJ, Skirving W, Strong AE, Hardy JT, LeDrew EF, Hochberg EJ, Stumpf RP, David LT
(2004a) Remote sensing of coral reefs and their physical environment. Mar Pollut Bull
48:219–228
72
H. Yamano