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Published .
Written in English

Edition Notes

Online version of print publication ECOLOGICAL APPLICATIONS v.5, no.1 (February 1995) : 3-11.

ContributionsSTEWART, D. J., DANIELSON, B. J., NOON, B. R., ROOT, T. L.
ID Numbers
Open LibraryOL19427357M

Because spatially explicit population and income growth are critical to natural resource assessments these projections should enhance the precision of land use and ecosystem service futures.". Disclaimer. All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. the current state of spatial/temporal simulations that integrate human behavior and environmental factors as applied to decision-making in spatially referenced dynamic environments and will provide some insight into what has been learned and more importantly discuss some ideas for development and application of this type of modelling in the future.

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Ecological Applications, 5(1),pp. 0 by the Ecological Society of America SPATIALLY EXPLICIT POPULATION MODELS: CURRENT FORMS AND FUTURE USES1 JOHN B.

DUNNING, JR.2 AND DAVID J. STEWART cf2Institute of Ecology, Cited by: In this paper we describe the structure of some spatially explicit models under development and provide examples of current and future research using these models.

Spatially explicit models are important tools for investigating scale‐related questions in population ecology, especially the response of organisms to habitat change occurring at a Cited by: Description Publication Notes.

You may send email to [email protected] to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.); We recommend that you also print this page and attach it to the printout of the article, to retain the full citation by: SPATIALLY EXPLICIT POPULATION MODELS: CURRENT FORMS AND FUTURE USES1 JOHN B.

DUNNING, JR.2 AND DAVID J. STEWART cf2lnstitute of Ecology, University of Georgia, Athens, Georgia USA BRENT J. DANIELSON Department of Animal Ecology, Iowa State University, Ames, Iowa USA BARRY R.

NoON. A spatially explicit model refers to a model that combines a model with land-use maps and other related ecological and socioeconomic geodata related to land-use decision-making (Dunning et al.

We describe two different approaches for modeling population response to environmental pattern. Then, we propose a simple means for incorporating uncertainty into the modeling process using structured and transparent means. First, a model formula is selected and applied with a structured uncertainty analysis during parameterization.

For the base-year population we use the ' Gridded Population of the World. We define each grid cell, and the population therein, as urban or rural using the urban extent grids produced as part of the Global Urban-Rural Mapping Project (GRUMP). Any grid cell with a center point falling within an urban extent is defined as urban.

Second, there may also be uncertainties in the spatially explicit data on future GDP and population. Third, the criteria of identifying the hotspots of food insecurity contain certain subjective elements as certain thresholds have to be chosen when comparing current with future hotspots.

Landscape models. The population dynamics of P. melanarius was studied in a series of realistic landscapes formulated for the polders of the Bay of Mont St. Michel (48°36′N, 1°32′W; NW France). This area currently consists of ha of mainly intensive agriculture, with vegetables, cereals and corn being the dominant crops (, and % of the surface area) and other.

We call such approaches spatially explicit population models (or SEPMs) because they assign habitats and owls to particular locations in space, and depending upon the number and placement of individuals, they predict population change as a result of dispersal, mortality, and reproduction.

With widespread use of Geographic Information Systems (GIS), there is a growing need for complex models ncorporating an increasing amount of data. The open-source Spatial Modeling Environment (SME) was developed to build upon common modeling software, such as STELLA (R), and Powersim (R), among others, to create, run, analyze, and present.

Spatially Explicit Population Models: Current Forms and Future Uses. Article. Book. Jan ; Akira Okubo Spatially explicit population models are helpful to managers because these models. In order to utilize as many as possible model ensembles from the ISIMIP2b data set, the projections with fixed socioeconomic conditions (e.g., population, economic development, land use, and management) of the year (refer to the scenario “soc” in Figure 1 in Frieler et al., ) were used in this study.

The future changes in WSIs. • Spatially implicit versus spatially explicit – A model is spatially explicit when the variables, inputs, or processes have explicit spatial locations and, moreover, that location matters to the process being modeled.

Nearly all landscape models are spatially explicit. We constructed individual-based spatially explicit population models for a guild of forest rodents in Indiana to test the ability of structural and actual, or behavioral, measures of connectivity to predict patch and landscape occupancy and abundance.

Model accuracy was assessed using comparisons with data from trapping studies. This study downscales the population and gross domestic product (GDP) scenarios given under Shared Socioeconomic Pathways (SSPs) into degree grids.

Our downscale approach has the following features. (i) It explicitly considers spatial and socioeconomic interactions among cities, (ii) it utilizes auxiliary variables, including road network and land cover, (iii) it endogenously estimates the. The environmental health impacts of transportation depend in part on where and when emissions occur during fuel production and combustion.

Here we describe spatially and temporally explicit life cycle inventories (LCI) of air pollutants from gasoline, ethanol derived from corn grain, and ethanol from corn stover. Previous modeling for the U.S.

by Argonne National Laboratory (GREET: Greenhouse. Where studies and empirical data have been applied using spatially-explicit models on given countries, such as Italy, it has been shown transmission of COVID has significantly dropped when overall mobility is dropped (in the case of Italy over 40% reduction in transmission).In this case, a network-based susceptible–exposed–infected–recovered (SEIR) connectivity model that looks at.

Models should be ‘as simple as possible and as complicated as necessary', and the increased complexity of spatially explicit models may not be justified in many cases. The estimation of all the individual parameters was possible in this case due to the relatively few competing plants. The Need for High Spatial-Resolution Population Data.

The lack of recent, reliable, and spatially detailed population data were highlighted with the – Ebola outbreak in West Africa, where emergency responders struggled to identify the location and size of rural settlements, and could not accurately calculate infection rates since the denominator (i.e., the population at risk) was not.

Dispersal is crucial to model species’ range changes and source-sink dynamics (Pulliam ).Moreover, seed dispersal interacts with the local population dynamic to determine the species’ ability to track favourable environments (Pulliam ).It is therefore vital to accounting for dispersal using spatially and temporally explicit models.

A spatially explicit whole-systems assessment of current and possible future LC-bioethanol infrastructures has been completed.

Hypothetical future development scenarios (within the bounds of scientific and engineering postulates) for agricultural, processing and logistical (pipeline) technologies were applied in order to gain some insight into.

[1] Here we describe, test, and apply a spatially explicit, global model of river‐borne dissolved inorganic phosphorus (DIP) export called NEWS‐DIP. Among the innovations in NEWS‐DIP are increased spatial resolution ( × °), explicit treatment of sewage, fertilizer, manure, and weathering P sources, and inclusion of reservoir retention and consumptive water use terms.

Formulation test: spatially explicit models make use of spatial concepts in their formulations, e.g., the notion of a neighborhood. Outcome test: The spatial structures/forms of inputs and outcomes of the model di er. Spatially explicit models are those that satisfy at least one of these tests (and thereby any of their combinations).

Explicit form: Pn = + n. Calculating values using the explicit form and plotting them with the original data shows how well our model fits the data. We could now use our model to make predictions about the future, assuming that the previous trend continues unchanged.

For example, we could predict that the gasoline consumption in It proposes a spatially explicit agent-based model to simulate a triple diffusion process in a metropolitan area of 1 million people.

Zhao, b: Mainland China: The association between Wuhan’s domestic passenger load and the number of confirmed nCoV cases in different cities in. Unfortunately, few meaningful generalizations exist with which to estimate the consequences of habitat alteration for wildlife species (FahrigDoak and MillsSchumaker ).

The research described here attempts to overcome such shortcomings by making use of a new spatially explicit life history simulator called PATCH.

Get this from a library. Landscape simulation modeling: a spatially explicit, dynamic approach. [Robert Costanza; Alexey Voinov;] -- CD-ROM contains: "the SME software and Web pages that extend the book chapters with color illustrations, animations, movies, models, and data.".

Get this from a library. Landscape simulation modeling: a spatially explicit, dynamic approach. [Robert Costanza; Alexey Voinov;] -- When managers and ecologists need to make decisions about the environment, they use models to simulate the dynamic systems that interest them.

All management decisions affect certain landscapes over. The main objectives of this paper are (1) to develop a map of the present‐day global distribution of conservation agriculture at 5 arcminute spatial resolution (including uncertainty ranges) and (2) to provide two spatially explicit estimates (5 arcminute spatial resolution) of the potential future development of CA adoption.

The overarching analysis involved four key steps. First, a deterministic, dynamic population model was run, in parallel, over a large geographic area to generate spatially explicit simulations of population density in response to temperature variation.

A daily time step was used in conjunction with. Next / / Evaluating spatially explicit viability of a declining ruffed redo 0 Comments Spatially Explicit Emission and Land-Use Change Scenarios.

Abstract We consider an optimal fishery harvesting problem using a spatially explicit model with a semilinear elliptic PDE, Dirichlet boundary conditions, and logistic population growth. We consider two objective functionals: maximizing the yield and minimizing the cost or the variation in the fishing effort (control).

Existence, necessary conditions, and uniqueness for the optimal harvesting. We can now use our model to make predictions about the future, assuming that the previous trend continues unchanged.

To predict the gasoline consumption in n = 23 ( – = 23 years later) P 23 = + (23) = Our model predicts that the US will consume billion gallons of gasoline in if the current trend continues. An ecosystem model is an abstract, usually mathematical, representation of an ecological system (ranging in scale from an individual population, to an ecological community, or even an entire biome), which is studied to better understand the real system.

Using data gathered from the field, ecological relationships—such as the relation of sunlight and water availability to photosynthetic rate. The method also makes explicit use of both continuous and discrete optimization and uses the χ 2 metric to estimate distances between estimated and generated distributions.

The new generator is applied for constructing a synthetic population of approximat, individuals and 4, households localized in the municipalities of. India will soon be the world’s most populous country, but in terms of human capital and, consequently, Gross Domestic Product per capita, it has been trailing behind China.

While some economists believe that India’s younger population will be an advantage over China’s aging one, here we show that much will depend on future investments in education and health and thus human capital. Studies of blue jeans and cotton garments have made use of conventional (i.e., non-spatially explicit) LCA methods.

Levi Strauss and Company famously conducted an LCA for their Levi’s jeans product, which estimated several major categories of environmental impacts for various life cycle phases including water consumption figures [ 23, 24 ].

- Using creative spatially-explicit models, we modeled coastal river otter use of terrestrial latrine sites in Alaska. These models allowed us to build scenarios of likely changes to schooling fish communities, and to evaluate the subsequent changes to nutrient transport from.

The distance to the nearest river was obtained from the 1:topographic maps of Jiangxi Province. The population data were obtained from China Population Statistics Yearbook and were spatially disaggregated into 30 m x 30 m grid data with the spatial disaggregating method [27].

Model Development. Current models and estimates (Eswaran et alWest and PostBatjes ), while potentially helpful in estimating coarse-scale SOC sequestration potential, are not able to predict the possible fate of carbon due to land-use change at scales relevant to management and hence generally have limited utility in assessing the impacts of.

Free Online Library: A robust, spatially explicit model for identifying oyster restoration sites: case studies on the Atlantic and Gulf Coasts.(Report) by "Journal of Shellfish Research"; Zoology and wildlife conservation Biological sciences Crassostrea Protection and preservation Ecosystems Case studies Geospatial data Internet pornography Oysters Reefs Storm surges Environmental aspects.However, in total,ha of built-up land were predicted in the Ruhr for This is a growth of nearly 14% since In comparison, the observed urban growth rate is 39%.

The underestimation of the quantity of change is specific for spatially explicit land-use change models [59, 80, 81].