The book presents a collection of large-scale network-modeling studies on coastal systems in Latin America. It includes a novel description of the functioning of coastal complex ecosystems and also predicts how natural and human-made disturbances percolate through the networks. Coastal areas belong to the most populated ecosystems around the globe, and are massively influenced by human impacts such as shipping, mining, fisheries, tourism, pollution and human settlements. Even though many of these activities have facilitated socio-economic development, they have also caused a significant deterioration in natural populations, communities and ecosystems worldwide. Covering coastal marine ecosystems of Latin America such as the NE and SE Pacific, NW Atlantic and Caribbean areas, it discusses the construction of quantitative (Ecopath-Ecosim-Ecospace and Centrality of Node Sets) and semi-quantitative (Loop Analysis) multispecies trophic-network models to describe and assess the impacts of natural and human interventions like pelagic and benthic fishing as well as natural events such as El Niño, and La Niña. The book also features steady state (and/or near moving equilibrium) and dynamical models to support the management of exploited organisms, and applies and quantifies macroscopic indices, based on Ascendency (Ulanowicz) and Local Stability (Levins´ Loop Analysis). Further, it discusses the determination of the Keystone Species Complex Index, which is a holistic extension of the classical concept of Keystone Species (Paine), offering novel strategies for conservation monitoring and management.
Marine Coastal Ecosystems Modelling and Conservation
RRP:
$227.00
Description
The book presents a collection of large-scale network-modeling studies on coastal systems in Latin America. It includes a novel description of the functioning of coastal complex ecosystems and also predicts how natural and human-made disturbances percolate through the networks. Coastal areas belong to the most populated ecosystems around the globe, and are massively influenced by human impacts such as shipping, mining, fisheries, tourism, pollution and human settlements. Even though many of these activities have facilitated socio-economic development, they have also caused a significant deterioration in natural populations, communities and ecosystems worldwide. Covering coastal marine ecosystems of Latin America such as the NE and SE Pacific, NW Atlantic and Caribbean areas, it discusses the construction of quantitative (Ecopath-Ecosim-Ecospace and Centrality of Node Sets) and semi-quantitative (Loop Analysis) multispecies trophic-network models to describe and assess the impacts of natural and human interventions like pelagic and benthic fishing as well as natural events such as El Niño, and La Niña. The book also features steady state (and/or near moving equilibrium) and dynamical models to support the management of exploited organisms, and applies and quantifies macroscopic indices, based on Ascendency (Ulanowicz) and Local Stability (Levins´ Loop Analysis). Further, it discusses the determination of the Keystone Species Complex Index, which is a holistic extension of the classical concept of Keystone Species (Paine), offering novel strategies for conservation monitoring and management.
One aim of the physical sciences has been to give an exact picture of the material world. One achievement of physics in the twentieth century has been to prove that that aim is unattainable . . . ...
Coastal and marine ecosystems, some severely degraded, other still pristine, control rich resources of inshore environments and coastal seas of Latin America's Pacific and Atlantic margins. Conflicts...
Marine and coastal resources provide millions of people with their livelihoods, such as fishing and tourism, and a range of critical additional 'ecosystem services', from biodiversity and...
Over the last decade or two marine scientists have become more aware of the role of freshwater outflow in coastal waters. Some have raised the question whether or not regulation of river flow may...
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