Total System Conceptual Ecological Model

Ogden, John C.; Davis, Steve; Barnes, Tomma; Jacobs, Kimberly J.; Gentile, John H.

doi:10.1672/0277-5212(2005)025[0955:tscem]2.0.co;2

Cited by 38 publications

(19 citation statements)

References 66 publications

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“…Land use and management actions already have been responsible for substantial losses and alterations of wetlands [55,56], and anthropogenic activities continue to alter the surface of the Earth across large geographic extents at rapid rates (e.g., [57]). Presence of water and quality of habitat in wetlands can be manipulated through direct actions (e.g., [58]), but wetlands also are heavily influenced by many biotic and abiotic exogenous factors, and drivers of change, especially socioeconomic drivers, may be geographically removed from wetlands (e.g., [59,60]). As the human population continues to increase across the planet, so do concomitant increases in demands for ecosystem services [61].…”

Section: Past Approaches To Remote Sensing Of Wetlandsmentioning

confidence: 99%

The Challenges of Remote Monitoring of Wetlands

2015

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Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?

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Section: Past Approaches To Remote Sensing Of Wetlandsmentioning

confidence: 99%

The Challenges of Remote Monitoring of Wetlands

2015

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“…adjacent habitats, ecosystems and regions; Rudnick et al 2005) are often the product of a variety of smaller scale dynamics. For instance, local plankton dynamics drive regional variations in plankton productivity and combine with local and inter-regional seagrass nutrient dynamics (Fourqurean et al 1997), the outflow of mangrove productivity (Davis et al 2001b) and many other factors to support/drive complex nutrient fluxes in the Florida Bay-Everglades ecosystem complex (Ogden et al 2005, Rudnick et al 2005.…”

Section: Nutrient Dynamicsmentioning

confidence: 99%

Consequences of ecological connectivity: the coastal ecosystem mosaic

Sheaves¹

2009

Mar. Ecol. Prog. Ser.

314

216

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Connectivity links habitats in space and time. It is a key process that facilitates many life-history functions of myriad species in a variety of contexts over a wide range of scales. Perhaps its most obvious application is to the multifaceted linkages among the diverse habitat units comprising ecosystem complexes like the coastal ecosystem mosaic (CEM) -the tightly interlinked coastal, estuarine, wetland and freshwater habitats at the interface of land and sea. The ability to utilise this diversity of connected habitats is integral to the life histories of a broad spectrum of organisms, with connectivity between habitats being crucial to important functions like nursery utilisation. Although connectivity is an obvious feature of the CEM, investigation of its implications has largely been restricted to the migration of organisms. However, connectivity has much broader conceptual relevance. It is a pervasive and multifaceted process affecting and enabling the lives of organisms over the full range of conceptual scales, with ecosystem components connected by a diversity of factors, including physical and biological translocation of nutrients, ontogenetic, life history, spawning and feeding migrations, food-web dynamics, predator-prey interactions, and many more. All of these play crucial roles in structuring biological populations, communities and assemblages, and in driving the biological processes that support them. Moreover, connectivity is a prominent and necessary component of ecological concepts, ranging from estuarine dependence and metapopulation dynamics to foraging arena theory. Considering connectivity as a multifaceted process leads to specific hypotheses about the functioning of the CEM and similar ecosystem complexes. KEY WORDS: Connectivity · Coastal ecosystems · Estuarine · Wetland · Ecosystem interactionsResale or republication not permitted without written consent of the publisher

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“…Similarly, barrier islands, beaches, reefs, and mainland shorelines are naturally dynamic, responding to major storms and sea-level rise (51,52). Anthropogenic activities exacerbate coastal system dynamics, including coastal development; dredging sediments from rivers; enhanced riverine flood flows from development; increased nutrient fluxes and oxygen depletion; sea-level rise due to subsidence and climate change; coastal erosion control structures; and alteration of vegetation (50,(53)(54)(55)(56).…”

Section: Examples Of Improving Sustainability Analysis In Different Ementioning

confidence: 99%

Broader perspective on ecosystem sustainability: Consequences for decision making

Sidle

Benson

Carriger

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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Although the concept of ecosystem sustainability has a long-term focus, it is often viewed from a static system perspective. Because most ecosystems are dynamic, we explore sustainability assessments from three additional perspectives: resilient systems; systems where tipping points occur; and systems subject to episodic resetting. Whereas foundations of ecosystem resilience originated in ecology, recent discussions have focused on geophysical attributes, and it is recognized that dynamic system components may not return to their former state following perturbations. Tipping points emerge when chronic changes (typically anthropogenic, but sometimes natural) push ecosystems to thresholds that cause collapse of process and function and may become permanent. Ecosystem resetting occurs when episodic natural disasters breach thresholds with little or no warning, resulting in long-term changes to environmental attributes or ecosystem function. An example of sustainability assessment of ecosystem goods and services along the Gulf Coast (USA) demonstrates the need to include both the resilient and dynamic nature of biogeomorphic components. Mountain road development in northwest Yunnan, China, makes rivers and related habitat vulnerable to tipping points. Ecosystems reset by natural disasters are also presented, emphasizing the need to understand the magnitude frequency and interrelationships among major disturbances, as shown by (i) the 2011 Great East Japan Earthquake and resulting tsunami, including how unsustainable urban development exacerbates geodisaster propagation, and (ii) repeated major earthquakes and associated geomorphic and vegetation disturbances in Papua New Guinea. Although all of these ecosystem perturbations and shifts are individually recognized, they are not embraced in contemporary sustainable decision making.ecosystem stressors | complex system behavior | sustainability analysis | cascading effects | coastal zone management

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Total System Conceptual Ecological Model

Cited by 38 publications

References 66 publications

The Challenges of Remote Monitoring of Wetlands

The Challenges of Remote Monitoring of Wetlands

Consequences of ecological connectivity: the coastal ecosystem mosaic

Broader perspective on ecosystem sustainability: Consequences for decision making

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