Ecological conceptual models: a framework and case study on ecosystem management for South Florida sustainability

Gentile, John H.; Harwell, Mark A.; Cropper, Wendell P.; Harwell, Christine C.; Jiang, Jiang; Davis, Steve; Ogden, John C.; Lirman, Diego

doi:10.1016/s0048-9697(01)00746-x

Cited by 84 publications

(49 citation statements)

References 16 publications

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“…Florida displays quite diverse climate, resulting in varied ecosystems and natural resources [40][41][42] (Figure 1). Its vegetation cover is influenced by numerous factors not least of which is the 600 percent increase in population since 1940.…”

Section: Study Areamentioning

confidence: 99%

“…We show results for a key land cover class in Florida, where the loss of wetlands is of considerable ecological significance [41,44]. Figure 7 shows only results for pixels classified as palustrine wetlands by C-CAP 1996 (Figure 8), and for which the massive persistence scores exceeded the critical values (α = 0.05), for August-November.…”

Section: Massive Persistence Changes In Palustrine Wetlands In Floridamentioning

confidence: 99%

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Time Series Analysis of Land Cover Change: Developing Statistical Tools to Determine Significance of Land Cover Changes in Persistence Analyses

et al. 2014

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Despite the existence of long term remotely sensed datasets, change detection methods are limited and often remain an obstacle to the effective use of time series approaches in remote sensing applications to Land Change Science. This paper establishes some simple statistical tests to be applied to NDVI-derived time series of remotely sensed data products. Specifically, the methods determine the statistical significance of three separate metrics of the persistence of vegetation cover or changes within a landscape by comparison to various forms of -benchmarks‖; directional persistence (changes in sign relative to some fixed reference value), relative directional persistence (changes in sign relative to the preceding value), and massive persistence (changes in magnitude relative to the preceding value). Null hypotheses are developed on the basis of serially independent, normally distributed random variables. Critical values are established theoretically through consideration of the numeric properties of those variables, application of extensive Monte Carlo simulations, and parallels to random walk processes. Monthly pixel-level NDVI values for the state of Florida are analyzed over 25 years, illustrating the techniques' abilities to identify areas and/or times of significant change, and facilitate a more detailed understanding of this landscape. The potential power and utility of such techniques is diverse within the area of remote sensing studies and Land Change Science, especially in the context of global change.

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Section: Study Areamentioning

confidence: 99%

Section: Massive Persistence Changes In Palustrine Wetlands In Floridamentioning

confidence: 99%

Time Series Analysis of Land Cover Change: Developing Statistical Tools to Determine Significance of Land Cover Changes in Persistence Analyses

et al. 2014

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“…An important purpose of this stage along with the definition of the list of possible events is to watch the cause-and-effect relationships of consequences of such events (Gentile et al, 2001). It is supposed to make a www.ccsenet.org/ass Asian Social Science Vol.…”

Section: Resultsmentioning

confidence: 99%

Algorithmization of Ecologo-Economic Risk-Management in Urban Areas

Мурзин¹

2015

ASS

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The article is devoted to the development of scientific approach to the problem of rationalizing the mutual influence of natural and economic relations elements which exist within the boundaries of urban (city) environment. The phenomenon of ecological and economic interaction is of particular relevance in terms of sustainable development concept, which determines the necessity of present needs satisfaction without any trouble for the future generations. The level of risk is the main quantitative indicator of the sustainable development degree. The author makes an effort in analysis and management of ecological-economic risk algorithmization. To this aim, the concept of ecological and economic risk is clarified, there is shown the general classification, the standard approach to quantitative risk assessment is considered, the features of analysis and evaluation of the risk level are studied. There is a general algorithm for management of ecological and economic risk, that consists of a number of analysis and assessments. The first block includes the steps of risk identification, or the definition of events that might cause ecological and economic damage of the probability of adverse events, or the possibility of determining the risk situation for a certain period, determining the structure of possible damage, or analysis of the results of adverse events, identifying the distribution system of damage, or the analysis of patterns of spread of the probability of damage to the same objects with similar adverse conditions, risk assessment, or, determination of quantitative characteristics (integral estimates) of risk measure. The second block includes the steps of evaluating the effectiveness of the risk response methods to avoid it, to reduce or transfer risks; the choice of the most appropriate ways to influence the risk, or, the definition of a list of specific control measures, monitoring progress in the implementation of risk control, or monitoring the state of the environment and the potential sources of danger. In conclusion, according to the results of the assessment of environmental and economic risk, it is given an example of management analysis of the territory of Rostov-on-Don.

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“…Monitoring programs support adaptive management if "information is collected on the parameters identified in the development of the initial models of the system and in relation to the specific goals identified in the planning phase of a project" (Schreiber et al 2004). The restoration program in the Florida Everglades has used this approach (Gentile et al 2001). Two types of conceptual models were developed, and outcomes of different management actions were explored using these models.…”

Section: Changing Coursementioning

confidence: 99%

“…The first modeled the societal activities and drivers that created the existing environmental stressors. The second modeled ecosystems in 20 landscape units using the stressors as drivers, and the ecological endpoints identified in these models provided the basis for performance measures around which monitoring programs were designed (Gentile et al 2001). Beginning with a list of 1,000 possible indicators, the number to be tracked was reduced to 50, and-after distilling, integrating, and prioritizing-eventually fewer than 10 were reported to high-level decision-makers (Van Cleve et al 2004).…”

Section: Changing Coursementioning

confidence: 99%

Mutual Benefits: Linking Science and Policy in the Delta

Meyer¹

2013

SFEWS

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Ecological conceptual models: a framework and case study on ecosystem management for South Florida sustainability

Cited by 84 publications

References 16 publications

Time Series Analysis of Land Cover Change: Developing Statistical Tools to Determine Significance of Land Cover Changes in Persistence Analyses

Time Series Analysis of Land Cover Change: Developing Statistical Tools to Determine Significance of Land Cover Changes in Persistence Analyses

Algorithmization of Ecologo-Economic Risk-Management in Urban Areas

Mutual Benefits: Linking Science and Policy in the Delta

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