SeagrassNet monitoring across the Americas: case studies of seagrass decline
Frederick T. Short,Evamaria W. Koch,Joel C. Creed,Karine Matos Magalhães,Eric Fernandez,Jeffrey L. Gaeckle +5 more
TLDR
SeagrassNet as discussed by the authors is a monitoring program for seagrasses worldwide, which uses a standardized protocol for detecting change in seagras habitat to capture both seagrase parameters and environmental variables.Abstract:
Seagrasses are an important coastal habitat worldwide and are indicative of environmental health at the critical land–sea interface In many parts of the world, seagrasses are not well known, although they provide crucial functions and values to the world’s oceans and to human populations dwelling along the coast Established in 2001, SeagrassNet, a monitoring program for seagrasses worldwide, uses a standardized protocol for detecting change in seagrass habitat to capture both seagrass parameters and environmental variables SeagrassNet is designed to statistically detect change over a relatively short time frame (1–2 years) through quarterly monitoring of permanent plots Currently, SeagrassNet operates in 18 countries at 48 sites; at each site, a permanent transect is established and a team of people from the area collects data which is sent to the SeagrassNet database for analysis We present five case studies based on SeagrassNet data from across the Americas (two sites in the USA, one in Belize, and two in Brazil) which have a common theme of seagrass decline; the study represents a first latitudinal comparison across a hemisphere using a common methodology In two cases, rapid loss of seagrass was related to eutrophication, in two cases losses related to climate change, and in one case, the loss is attributed to a complex trophic interaction resulting from the presence of a marine protected area SeagrassNet results provide documentation of seagrass change over time and allow us to make scientifically supported statements about the status of seagrass habitat and the extent of need for management actionread more
Citations
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Global seagrass distribution and diversity: A bioregional model
TL;DR: Seagrass bioregions at the scale of ocean basins are identified based on species distributions which are supported by genetic patterns of diversity, and provide a useful framework for interpreting ecological, physiological and genetic results collected in specific locations or from particular species.
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Seagrasses and eutrophication
TL;DR: Evidence suggests that natural seagrass population shifts are disrupted, slowed or indefinitely blocked by cultural eutrophication, and there are relatively few known examples of seagRass meadow recovery following nutrient reductions.
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Associations of concern: Declining seagrasses and threatened dependent species
A. Randall Hughes,A. Randall Hughes,Susan L. Williams,Carlos M. Duarte,Kenneth L. Heck,Michelle Waycott +5 more
TL;DR: Links between threatened seagrasses and their dependent communities illustrate the importance of an ecosystem-based management approach that incorporates interdependencies and facilitation among species.
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Essential ocean variables for global sustained observations of biodiversity and ecosystem changes
Patricia Miloslavich,Nicholas J. Bax,Nicholas J. Bax,Samantha E. Simmons,Eduardo Klein,Ward Appeltans,Octavio Aburto-Oropeza,Melissa Andersen Garcia,Sonia D. Batten,Lisandro Benedetti-Cecchi,David M. Checkley,Sanae Chiba,Sanae Chiba,J. Emmett Duffy,Daniel C. Dunn,Albert S. Fischer,John Gunn,Raphael M. Kudela,Francis Marsac,Francis Marsac,Frank E. Muller-Karger,David Obura,Yunne-Jai Shin,Yunne-Jai Shin +23 more
TL;DR: To identify biological and ecological essential ocean variables (EOVs) for implementation within a global ocean observing system that is relevant for science, informs society, and technologically feasible, a driver-pressure-state-impact-response (DPSIR) model was used.
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Environmental monitoring: the scale and speed of implementation varies according to the degree of peoples involvement
TL;DR: In this article, the authors examined 104 published environmental monitoring schemes to assess whether participation of local people in collecting and analyzing environmental knowledge influenced the speed and scale of decision-making and action.
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