Anticipating Threats to Northern Hardwood Forest Biodiversity

Megan Matonis, one of the Masters students on the Michigan UP project, is headed to Washington D.C. for the National Council for Science and the Environment 9th National Conference on Science, Policy, and the Environment with a poster under her arm. Entitled Anticipating Threats to Northern Hardwood Forest Biodiversity with an Ecological-Economic Model the poster gives an overview of the modelling project and highlights some of the effects of deer browse and timber harvest on tree sapling and songbird diversity. Hopefully Megan will get some interesting questions and return with some new ideas about how we might use our model once it is up and running.

I haven’t posted on the blog for a little while. The main causes have been end of semester craziness and a trip to Montreal over Thanksgiving (maybe some pictures will appear on the photos page soon). More on CHANS research soon…

ABM of Mediterranean LUCC Paper Published in JASSS

Apparently blogging is just soooo 2004 and we should just leave it to the pros. The blog you’re reading may not be dead, but has been anaemic of late. Although this may not be the place to catch breaking news and cutting edge analysis in the 24-hour current affairs news cycle, it is a place where I can highlight some of my recent thoughts and activities. Maybe others will benefit from these notes, maybe they won’t. But in writing things down for public view it forces me to refine my thoughts so that I can express them concisely. Hopefully this blog has some life it yet and I will try to write soon about what has been taking up all my spare time recently – QuadTrees, seed dispersal and fire.

For now I will just let you know that the paper describing the agent-based model of Mediterranean agricultural Land-Use/Cover Change that I began developing as part of my PhD studies has now officially been published in the latest issue of JASSS.

Millington, J.D.A., Romero-Calcerrada, R., Wainwright, J. and Perry, G.L.W. (2008) An Agent-Based Model of Mediterranean Agricultural Land-Use/Cover Change for Examining Wildfire Risk. Journal of Artificial Societies and Social Simulation 11(4)4 http://jasss.soc.surrey.ac.uk/11/4/4.html

‘Mind, the Gap’ Manuscript

Earlier this week I submitted a manuscript to Earth Surface Processes and Landforms with one of my former PhD advisors, John Wainwright. Provisionally entitled Mind, the Gap in Landscape-Evolution Modelling (we’ll see what the reviewers think of that one!), the manuscript argues that agent-based models (ABMs) are a useful tool for overcoming the limitations of existing, highly empirical approaches in geomorphology. This, we suggest, would be useful because despite an increasing recognition that human activity is currently the dominant force modifying landscapes geomorphically, and that this activity has been increasing through time, there has been little integrative work to evaluate human interactions with geomorphic processes.

In the manuscript we present two case studies of models that consider landscape change with the aid of an ABM – SPASIMv1 (developed during my PhD) and CybErosion (a model to simulate the dynamic interaction of prehistoric communities in Mediterranean environments John has developed). We evaluate the advantages and disadvantages of the ABM approach, and consider some of the major challenges to implementation. These challenges include potential process scale mis-matches, differences in perspective between investigators from different disciplines, and issues regarding model evaluation, analysis and interpretation.

I’ll post more here as the review process progresses. Hopefully progress with ESPL will be a little quicker than it has been for the manuscript I submitted to Environmental Modelling and Software detailing the biophysical component of SPASIMv1 (still yet to receive the review after 5 months!)…

April 2008 Conference Posters


Final preparations are underway for the US-IALE Symposium in Madison, WI, next week. I’ve finished the poster that we’ll be presenting there on the progress we’re making withour ecological-economic forest landscape model. We’ve also been putting the finishing touches on our posters for the wildfire session at EGU in Vienna (which Raul will be attending and presenting our posters at). Links to .pdf versions of the posters are below. Thoughts and photos from Madison and Chicago (where I’ll be stopping off for a couple of days on the way home) on my return.

An Ecological-Economic Model for Sustainable Forest Management: Modeling Deer Distributions from Local & Landscape Characteristics
J.D.A. Millington, J.P. LeBouton, M.B. Walters, K.R. Hall, M.S. Matonis, E.J. Laurent, F. Lupi, S. Chen, J. Liu

An Integrated Socio-Ecological Simulation Model of Succession-Disturbance Dynamics in a Mediterranean Landscape
J.D.A. Millington, J. Wainwright, G.L.W. Perry, R. Romero-Calcerrada, & B.D. Malamud

Spatial modelling of the influence of human activity on wildfire ignition risk in a Mediterranean landscape
R. Romero-Calcerrada, F. Barrio-Parra, J.D.A. Millington, C.J. Novillo

Landscape Ecology paper In Press

We were informed this week that the paper I have been working on with Raul Romero Calcerrada and other colleagues at Universidad Rey Juan Carlos has been accepted by Landscape Ecology. I’ve copied the abstract below. It should be out later in 2008, but email me if you want a pre-print.

Currently I’m working on two paper with colleagues describing the construction and initial results of the model I constructed during my PhD research. We’re also submitting abstracts to the European Geophysics Union General Assembly 2008 on this and work related to the Landscape Ecology paper.

The abstract submitted with colleagues at CSIS has been accepted for poster presentation at the US-IALE meeting in Madison in April. Should be a good meeting. Also, the doi for Perry and Millington (2008) in PPEES now works.

Tomorrow I’m heading back to Europe for a couple of weeks. I have my PhD graduation ceremony next week (maybe I’ll post some photos of me looking scholarly/awkward in my academic dress/get-up), a couple days snowboarding in the Swiss Alps, and a couple of days working with Bruce Malamud at King’s following up on the work we published on US wildfire regimes in PNAS. Should be a fun couple of weeks!

GIS analysis of spatial patterns of wildfire human-caused ignition risk in the SW of Madrid (Central Spain) (In Press) Landscape Ecology

Raul Romero Calcerrada; Carlos J. Novillo Camacho; James DA Millington; Inmaculada Gomez-Jimenez

Abstract: The majority of wildfires in Spain are caused by human activities. However, much wildfire research has focused on the biological and physical aspects of wildfire, with comparatively less attention given to the importance of socio-economic factors. With recent changes in human activity and settlement patterns in many parts of Spain, potentially contributing to the increases in wildfire occurrence recently observed, the need to consider human activity in models of wildfire risk for this region are apparent. Here we use a method from Bayesian statistics, the Weights of Evidence (WofE) model, to examine the causal factors of wildfires in the south west of the Madrid region for two differently defined wildfire seasons. We also produce predictive maps of wildfire risk. Our results show that spatial patterns of wildfire ignition are strongly associated with human access to the natural landscape, with proximity to urban areas and roads found to be the most important causal factors. We suggest these characteristics and recent socio-economic trends in Spain may be producing landscapes and wildfire ignition risk characteristics that are increasingly similar to Mediterranean regions with historically stronger economies, such as California, where the urban-wildland interface is large and recreation in forested areas is high. We also find that the WofE model is useful for estimating future wildfire risk. We suggest the methods presented here will be useful to optimize time,
human resources and fire management funds in areas where urbanization is increasing the urban-forest interface and where human activity is an important cause of wildfire ignition.

Update 06/02/08: This paper is now online here and here.

Engaging the Future

The book review I wrote for Environment and Planning A appears in the latest issue (39:11). View the pdf here or read on below…

Engaging the Future: Forecasts, Scenarios, Plans, and Projects (2007) edited by Hopkins, L.D. and Zapata, M.A.

The future is inherently uncertain. In accepting this we should not be fatalistic suggest the authors of Engaging the Future. Rather, as the title of the book suggests, scholars, planners, public officials, and citizens alike should endeavour to engage the future, creating and shaping it via a continuing process of regional and urban planning. The tools available for us to advance this process are forecasts, scenarios, plans, and projects.

The opening chapter by the editors Hopkins and Zapata sets the tone for the volume, highlighting that these tools are ways of representing, manipulating, and assessing ideas about the future. They allow us not simply to think about the future but also to influence it. Predictions, however, are conspicuous by their absence from Hopkins and Zapata’s putative toolbox. This, as Moore discusses in chapter 2, is because of an all too frequent over-reliance on quantitative output from models. Moore complains that the emphasis on using numerical predictions about populations, transport demands, and other regional trends can inhibit creativity, stifle debate, and limit policy alternatives, when predicted futures are regarded as inevitable ones. Thus, numerical predictions can suppress uncertainty rather than engaging and dealing with it effectively.

The alternative approach, developed and explored throughout the remaining chapters, is one that is increasingly reflexive, collaborative, democratic, and consensual. Both the tools that will facilitate this approach and their use in (predominantly American) case studies are presented and discussed. In chapter 3 Grant discusses the use of visioning to improve participation in the planning process, highlighting both the advantages (democratic inclusion) and drawbacks (potential munipulation) of such an approach. Myers (chapter 4) introduces the idea of narratives to examine how individual choices will influence future communities, and stresses that, if quantitative data about the future are to be used, they must be embedded within a story that describes community transformations through time. Narratives are also discussed as tools by which to engage and generate ‘reflective conversations’ between diverse parts of the public (Cummings, chapter 12) and to highlight multiple views and expectations about the future rather than suppressing them (Zapata, chapter 13).

Chapters 5 (Smith), 6 (Avin), 7 (Harwood), and 11 (Deal and Pallathucheril) all focus on the use of scenarios in planning in business, industrial, regional, and local community contexts. In these contexts, scenarios differ from forecasts as they do not assign any probability or likelihood estimates to their feasibility, and so better able to explore nonstationary processes and their normative implications. By generating scenarios using the input from local stakeholders these authors suggest community concerns, perceptions, and values can be integrated into a formal description of possible futures, helping to build the capacity of a community to plan via education, dialogue, and empowerment.

Isserman, Klosterman, and Hopkins (chapters 9, 10, and 14, respectively) continue the emphasis on the continued need for a shift away from a ‘technocratic, mystified’ approach toward an ‘open, participatory’ one. Such a philosophy is consistent with the attitude of the need to ‘democratise science’ that has been forwarded recently in the United Kingdom, particularly by organisations such as the think tank DEMOS. Echoing those debates about experts and the politics of expertise, Klosterman argues that, despite their technical skills, planners cannot claim any special knowledge about the desirability of given futures, or arguably even their probability of occurring, than ordinary citizens with their lived ‘experience expertise’ about the changing nature of the region. In turn, Hopkins suggests plans should become `living documents’ that are negotiated and support continued deliberation by multiple

This broad message of the book – to accept uncertainty and embrace participatory approaches – resonates with contemporary attitudes across other areas of environmental science and management. Adaptive resource management, for example, is a process of ‘learning by experimenting’, updating policies and management strategies as more is learnt about the system in hand. Likewise, Funtowicz and Ravetz (1993) have argued that a new form of `postnormal’ science that embraces uncertainty, individuals’ personal values, and dialogue amongst multiple stakeholders is required to solve the environmental problems arising from applications of ‘normal’, reductionist science.

However, uncertainty is politically undesirable and participation is not a panacea. Accepting uncertainty is disquieting – embracing it is even more of a challenge. Policy makers are often loathe to accept advice based on uncertainty, and where uncertainty is accepted it is often used to delay (tough) decision making. A pertinent example is political unwillingness to address the suggested causes of potential anthropogenic climate change in certain quarters because of the scientific uncertainty in those processes. Participatory approaches demand both the will and the skill to engage with non-planners. Making the planning process more inclusive is likely to slow it, potentially leading to unforeseen (and unwanted) demands on the planning process and remit. Participatory approaches will demand that planners expand their skill set to learn how to incorporate a variety of perspectives and views into their planning process.

The case studies presented in each chapter show how this might be done, offering practical ways to engage this multiplicity of demands and perspectives. In this light, Engaging the Future will be most useful for, or have most impact upon, students and junior planners. Given the emphasis of the book on wider participation in the planning process it should be read by more than just planners and students however. Well-produced with uncomplicated language, useful figures, and a glossary of planning terms, this book will be accessible and valuable both to the policy makers calling upon the services of planners and to the citizens and stakeholders who will be influenced by the outcomes of their actions.

Buy at Amazon

BSG – Modelling Human Impacts on Geomorphic Processes

This week sees the Annual Conference of the British Society for Geomorphology (BSG – formerly the British Geomorphological Research Group, BGRG). Running from Wednesday 4th to Friday 6th, the conference is being held at the University of Birmingham in the UK. With the theme Geomorphology: A 2020 Vision, recent developments and advances in the field, such as models and modelling approaches, will be explored and debated, and the potential to exploit emerging approaches to solve key challenges throughout pure and applied Geomorphology will be discussed.

With these recent and future advances in mind, one of my PhD advisors, Prof. John Wainwright, will present a paper entitled Modelling Human Impacts on Geomorphic Processes which contains work originating from my thesis. He’ll be presenting it in the first session of Wednesday afternoon, Process Modelling: Cross-Cutting Session. I’m sure it will turn out to be an interesting session, and one that continues the recent thirst for inter- and cross-disciplinary research. Here’s the abstract:

Modelling Human Impacts on Geomorphic Processes
John Wainwright and James Millington

Despite the recognition that human impacts play a strong – if not now predominant – rôle in vegetation and landscape evolution, there has been little work to date to integrate these effects into geomorphic models. This inertia has been the result partly of philosophical considerations and partly due to practical issues.

We consider different ways of integrating human behaviour into numerical models and their limitations, drawing on existing work in artificial intelligence. Practical computing issues have typically meant that most work has been very simplistic. The difficulty of estimating time-varying human impacts has commonly led to the use of relatively basic scenario-based models, particularly over the longer term. Scenario-based approaches suffer from two major problems. They are typically static, so that there is no feedback between the impact and its consequences, even though the latter might often lead to major behavioural modifications. Secondly, there is an element of circularity in the arguments used to generate scenarios for understanding past landform change, in that changes are known to have happened, so that scenarios big enough to produce them are often generated without considering the range of possible alternatives.

In this paper we take examples from two systems operating in different contexts and timescales, but employing a similar overall approach. First, we consider human occupations in prehistoric Europe, in particular in relation to the transition from hunter-gatherer to simple agricultural strategies. The consequences of this transition for patterns of soil erosion are investigated. Secondly, an example from modern Spain will be used to evaluate the effects of farmers’ decision-making processes on land use and vegetation cover, with subsequent impacts on fire régime. From these agent-based models and from other examples in the literature, conclusions will be drawn as to future progress in developing these models, especially in relation to model definition, parameterization and testing.

EGU 2007 Poster

I’m not attending the European Geophysics Union General Assembly this year as I have done the past couple. However, I do have a poster there (today, thanks to Bruce Malamud for posting it) on some work I have been doing with Raul Romero Calcerrada at Universidad Rey Juan Carlos in Madrid, Spain. We have been using various spatial statistical modelling techniques to examine the spatial patterns and causes (including both socioeconomic and biophysical) of wildfire ignition probabilities in central Spain. The poster abstract is presented below and we’re working on writing a couple of papers related to this right now.

Spatial analysis of patterns and causes of fire ignition probabilities using Logistic Regression and Weights-of-Evidence based GIS modelling
R. Romero-Calcerrada, J.D.A. Millington
In countries where more than 95% of wildfires are caused by direct or indirect human activity, such as those in the Iberian Peninsula, ignition risk estimation must consider anthropic influences. However, the importance of human factors has been given scant regard when compared to biophysical factors (topography, vegetation and meteorology) in quantitative analyses of risk. This disregard for the primary cause of wildfires in the Iberian Peninsula is owed to the difficulties in evaluating, modelling and representing spatially the human component of both fire ignition and spread. We use logistic regression and weights-of-evidence based GIS modelling to examine the relative influence of biophysical and socio-economic variables on the spatial distribution of wildfire ignition risk for a six year time series of 508 fires in the south west of the Autonomous Community of Madrid, Spain. We find that socioeconomic variables are more important than biophysical to understand spatial wildfire ignition risk, and that models using socioeconomic data have a greater accuracy than those using biophysical data alone. Our findings suggest the importance of socioeconomic variables for the explanation and prediction of the spatial distribution of wildfire ignition risk in the study area. Socioeconomic variables need to be included in models of wildfire ignition risk in the Mediterranean and will likely be very important in wildfire prevention and planning in this region.

PhD Thesis Completed

So, finally, it is done. As I write, three copies of my PhD Thesis are being bound ready for submission tomorrow! I’ve posted a short abstract below. If you want a more complete picture of what I’ve done you can look at the Table of Contents and read the online versions of the Introduction and Discussion and Conclusions. Email me if you want a copy of the whole thesis (all 81,000 words, 277 pages of it).

So just the small matter of defending the thesis at my viva voce in May. But before that I think it’s time for a celebratory beer on the South Bank of the Thames in the evening sunshine…

Modelling Land-Use/Cover Change and Wildfire Regimes in a Mediterranean Landscape

James D.A. Millington
March 2007

Department of Geography
King’s College, London

Abstract
This interdisciplinary thesis examines the potential impacts of human land-use/cover change upon wildfire regimes in a Mediterranean landscape using empirical and simulation models that consider both social and ecological processes and phenomena. Such an examination is pertinent given contemporary agricultural land-use decline in some areas of the northern Mediterranean Basin due to social and economic trends, and the ecological uncertainties in the consequent feedbacks between landscape-level patterns and processes of vegetation- and wildfire-dynamics.

The shortcomings of empirical modelling of these processes are highlighted, leading to the development of an integrated socio-ecological simulation model (SESM). A grid-based landscape fire succession model is integrated with an agent-based model of agricultural land-use decision-making. The agent-based component considers non-economic alongside economic influences on actors’ land-use decision-making. The explicit representation of human influence on wildfire frequency and ignition in the model is a novel approach and highlights biases in the areas of land-covers burned according to ignition cause. Model results suggest if agricultural change (i.e. abandonment) continues as it has recently, the risk of large wildfires will increase and greater total area will be burned.

The epistemological problems of representation encountered when attempting to simulate ‘open’, middle numbered systems – as is the case for many ‘real world’ geographical and ecological systems – are discussed. Consequently, and in light of recent calls for increased engagement between science and the public, a shift in emphasis is suggested for SESMs away from establishing the truth of a model’s structure via the mimetic accuracy of its results and toward ensuring trust in a model’s results via practical adequacy. A ‘stakeholder model evaluation’ exercise is undertaken to examine this contention and to evaluate, with the intent of improving, the SESM developed in this thesis. A narrative approach is then adopted to reflect on what has been learnt.

Hierarchical Partitioning for Understanding LUCC

This post is my fourth contribution to JustScience week.

Multiple regression is an empirical, data-driven approach for modelling the response of a single (dependent) variable from a suite of predictor (independent) variables. Mac Nally (2002) suggests that multiple regression is generally used for two purposes by ecologists and biologists; 1) to assess the amount of variance exhibited by the dependent variable that can be attributed to each predictor variable, and 2) to find the ‘best’ predictive model (the model that explains most total variance). Yesterday I discussed the use of logistic regression (a form of multiple regression) models for predictive purposes in Land Use/Cover Change (LUCC) studies. Today I’ll present some work on an explanatory use of these methods.

Finding a multivariate model that uses the ‘best’ set of predictors does not imply that those predictors will remain the ‘best’ when used independently of one another. Multi-collinearity between predictor variables means that the use of the ‘best’ subset of variables (i.e. model) to infer causality between independent and dependent variables provides little valid ‘explanatory power’ (Mac Nally, 2002). The individual coefficients of a multiple regression model can only be interpreted for direct effects on the response variable when the other predictor variables are held constant (James & McCulloch, 1990). The use of a model to explain versus its use to predict must therefore be considered (Mac Nally, 2000).

Hierarchical partitioning (HP) is a statistical method that provides explanatory power, rather than predictive. It allows the contribution of each predictor to the total explained variance of a model, both independently and in conjunction with the other predictors, to be calculated for all possible candidate models. The use of the HP method developed by Chevan and Sutherland (1991) by ecologists and biologists in their multivariate analyses was first suggested by Mac Nally (1996). More recently, the method has been extended to help provide the ability to statistically choose which variables to retain once they have been ranked for their predictive use (Mac Nally, 2002). Details of how HP works can be found here.

With colleagues, I examined the use of hierarchical partitioning for understanding LUCC in my PhD study area, leading to a recent publication in Ecosystems. We examined the difference in using two different land-cover (LC) classifications for the same landscape, one classification with 10 LC classes, another with four. Using HP we found that more coarse LC classifications (i.e. fewer LC classes) causes the joint effects of variables to suppress total variance explained in LUCC. That is, the combined effect of explanatory variables increases the total explained variance (in LUCC) in regression models using the 10-class LC classification, but reduces total explained variance in the dependent variable for four-class models.

We suggested that (in our case at least) this was because the aggregated nature of the four-class models means broad observed changes (for example from agricultural land to forested land) masks specific changes within the classes (for example from pasture to pine forest or from arable land to oak forest). These specific transitions may have explanatory variables (causes) that oppose one another for the different specific transitions, decreasing the explanatory power of models that use both variables to explain a single broader shift. By considering more specific transitions, the utility of HP for elucidating important causal factors will increase.

We concluded that a systematic examination of specific LUCC transitions is important for elucidating drivers of change, and is one that has been under-used in the literature. Specifically, we suggested hierarchical partitioning should be useful for assessing the importance of causal mechanisms in LUCC studies in many regions around the world.

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