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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Integrated assessment modelling of environmental impacts of land use policy in West-Africa: A conceptual model</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Mahamadou Belem</string-name>
          <email>mahamadou.belem@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>- Melio Sáenz</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>- Maestripieri</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Nicolas</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Mehdi Saqalli</institution>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2015</year>
      </pub-date>
      <abstract>
        <p>This communication discusses considerations for the establishment of a spatialized computer model formalizing a prospective of the environmental impacts of public policies regarding land uses. This objective, once applied in West Africa, needs to face several challenges specific to the sub-region: on the one hand, the difficulty of creating a set of data strong enough for enabling the modelling process and on the other hand, the integration of the high variability of its environment, both biophysical (rainfall first) and socially (land tenures first). MOTS-CLÉS : modélisation, modèle conceptuel spatialisé, Afrique de l'Ouest, usages des terres, politiques publiques sur le foncier.</p>
      </abstract>
      <kwd-group>
        <kwd>modelling</kwd>
        <kwd>spatialized conceptual model</kwd>
        <kwd>West Africa</kwd>
        <kwd>land uses</kwd>
        <kwd>land public policies</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.</p>
    </sec>
    <sec id="sec-2">
      <title>Introduction</title>
      <p>1.1.</p>
      <sec id="sec-2-1">
        <title>Context and issues</title>
        <p>In West-African countries, as in many developing countries, the successful
formulation and implementation of land use policies are often hampered by the fact
that whatever the issue, we usually do not have enough knowledge about their
impacts on global scenarios, especially those related with sustainable development,
because of:</p>
        <p>The non-availability of good data of the present-time situation, from the
biophysical dynamics occurring on the present time to the cadastre itself, but
also the weight of uses acting on any piece of land, let aside the temporal
accuracy of these data;
The absence of scientifically-based but locally adapted tools to process this
information: for instance, assessing the use of a piece of land without
integrating the multi-ownership and right of use occurring in West Africa on a
global scale implies many oversimplification to force the west situation to fit
with western standards;
In this paper, we propose modelling tools in this context to process this data in order
to obtain useful information for planning and making decisions in terms of
sustainability, taking account that both data in quality and quantity are considered as
enough.
1.2.</p>
      </sec>
      <sec id="sec-2-2">
        <title>Which principles for modelling environmental impacts of land use policy?</title>
        <p>Building tools needs a clear understanding of reality. It means scholars tending to
build such tools need to search the reference system structure and its functionality.
Our departure point is defined by three macro-systems: Nature, Life and Society.
Each of them contributes with elements to the structure and from their properties
they are defined the inter-relations or it is possible to identify those that are not
specified.</p>
        <p>
          The second step looks for describing the state of the system, operation which is
made with help of a subset of variables identified in the system and that constitute
our useful set of variables called "relevant variables". At this level we must know
limitations and restrictions with which we will deal for our purposes. These
limitations and restrictions arise from the simplification of reality, that is, from the
model formulation.
To be able to consider the various facets of a problem at hand, modeling has proven
to be an appropriate tool to provide and combine the necessary information
(
          <xref ref-type="bibr" rid="ref8">Herrmannet al. 2011</xref>
          ). Models can help blending knowledge and perspectives from
different points of view
          <xref ref-type="bibr" rid="ref1">(Belem et al. 2011)</xref>
          . Models provide an effective framework
to formulate, simulate different scenarios and to underline the potential impacts of
decisions
          <xref ref-type="bibr" rid="ref23">(Saqalli et al. 2011)</xref>
          . Models allow handling the dynamics of a complex
system at different scales of description and the interactions that exist between the
different scales of description.
        </p>
        <p>The objective of this paper is to propose a conceptual framework for the multi-scale
integrated representation and modeling of land use policy impacts in West-Africa.
Specifically, our main aim is to propose a common and shared representation of land
use and land management systems in West-Africa for assessing the concurrent
impacts of different land use and land management practices on major ecosystem
services and disservices, such as carbon and nitrogen storage, water quality and
availability, soil degradation, biodiversity losses, and greenhouse gas emission. We
consider also social aspects such as poverty reduction and food security, and
economic benefits such as income generation.</p>
        <p>Practically, many stakeholders are concerned by the land use and land management
issues. These stakeholders have not the same understanding and the same point of
view on the real objects of the system. Their points of view can be complementary
or opposite. However, it is necessary to integrate these various points of view for a
better understanding of the target problem. For that, we need a common framework
to provide a common representation of the target system but also for knowledge
integration from different sources. We need to consider that three fluxes occur in
systems: Matter, Energy and Information. On their basis, it is possible to establish
relationships among the elements and with the environment.
2.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Research approach</title>
      <p>
        The research approach is based on multi-dimensional and multi-level approaches.
The objective is to target the land use dynamics at different scales while taking into
account the social, economic, bio physical and policy dimensions. In order to
consider the stakeholders involvement, the conceptual model is based on the general
framework for analyzing sustainability of socio-ecological systems developed by
        <xref ref-type="bibr" rid="ref14">Ostrom (2009)</xref>
        . Stringer et al, (2013) argued that the involvement of multiple
stakeholders, with highly differing objectives and perspectives, illustrates the need
to pay attention to the multilevel, nested, and networked nature of
HumanEnvironment systems. In addition, multi-scale approach is essential to allow
interconnections between regions and scales to be identified on a more manageable
landscape scale, as well as to enable integration of the outputs from large-scale
analysis typical of climate, economic or land use change modeling and vulnerability
analyses, with local-scale assessments of the drivers and impacts of degradation at a
household, village and district level (Stringer et al, 2013)
      </p>
      <p>Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.
We seek to provide a common framework for sharing the different representations
of land use systems in West-Africa and for knowledge integration from different
sources. The general framework for analyzing sustainability of socio-ecological
system is based on the assumption that the socio-ecological system (SESs) are
composed of multiple subsystems and internal variables within these subsystems at
multiple levels. This formalization should concern various land use practices
regarding agriculture, forestry, pastoralism, water management, etc. The objective is
to assess the competing impacts of different land use practices and policy scenarios
on environment (soil degradation, biodiversity loss, carbon &amp; nitrogen storage,
water quality and availability, CO2 emission, etc.), society (poverty reduction, food
security, health, inequality, etc.) and economic benefits (crop yields, incomes, etc.).
That will be achieved by accounting the interactions between social, economic and
biophysical dimensions at field, farm, village and region scales (Figure 1).</p>
      <p>
        Using the conceptual model, a meta-model is developed for representing the land
use and land management systems in West-Africa. Several specificities do occur in
West Africa, comparing to other locations in the world:
• Climate, and more specifically rainfall, is not only varying along latitude, i.e.
spatial discrimination. It varies according to seasons such as the majority of
locations in the world. It also vary a lot in time and space between and within
years: this high spatial and temporal intra-annual and inter-annual rainfall
variability
        <xref ref-type="bibr" rid="ref6">(Sangaré et al, 2001; Gérard et Buerkert, 2001)</xref>
        may double the rain
volume for one site between two years and between sites distant of less than
500 m in the same year!
      </p>
      <p>
        The land tenure problem in West Africa is indeed extremely complex: there are
a lot of different tenure statutes and their definitions are difficult to establish,
particularly for villages in conflict
        <xref ref-type="bibr" rid="ref11 ref13">(Le Bris et al., 1991; Lavigne-Delville,
1998)</xref>
        . Moreover, such tenure systems do evolve quickly along time;
3.
      </p>
    </sec>
    <sec id="sec-4">
      <title>Results</title>
      <sec id="sec-4-1">
        <title>3.1. The conceptual model</title>
        <sec id="sec-4-1-1">
          <title>3.1.1. Resources system</title>
          <p>We based our figures upon the UML representation symbolism (Unifed Modelling
Language). The use of the Unified Modeling Language (UML) as the "official"
mode of representation of modeling procedures is becoming widespread. Numerous
research documents use this language in their communications with other
researchers. However, this use has not spread outside of the model makers'
community. We however plea for a better formalization and a stronger
understanding within this community and between this last and scholars belonging
to other sciences and we then stand on this procedure.</p>
          <p>In this study, we are concerned by different land use sectors: the agriculture, water,
forest and pasture. The objective is to assess the concurrent impacts of different land
use sectors. As we consider the land use and land management systems as
socioecosystem, we are interested in the interactions between the two ecological and
sociological systems at different scales of representation. The ecological system in
our conceptual model is represented by the soil, animal, crop, grassland, tree and
water components, their own dynamics and interactions. They represent the majors
resources used and impacted by the climate and land use and land management in
West-Africa.</p>
          <p>•
•</p>
          <p>The animal component concerns only the cattle, sheet and boat that have
the most important impacts of land use and land management. The crop
component represents a range of species. The tree component represents
also a range of species.</p>
          <p>The social system represents the human societies, the economic activities,
the social organization and the institutional context. Farmers are the main
stakeholders concerned by this study. Farmers belong to different
socialorganizations on which depends in part of resources and the information
access. In addition to farmers, stakeholders concern the public policy agent,
local authorities, advisory services, farmers organizations,
nongovernmental organizations, research institution, projects , enterprises.
In conclusion, the governance system of land use and land management in our
conceptual model is composed of farmers, Government Organization,
NonGovernment Organization, Farmers Organization, Enterprise,
3.1.2.</p>
        </sec>
        <sec id="sec-4-1-2">
          <title>Interactions</title>
          <p>3.1.2.1. Multi-dimensional and multi-level interactions
The conceptual model takes account four level of description: plot, farm, local and
regional scales. Specifically, we seek to analyze the feedbacks loops between these
different scales and the governance system that exists at each scale (Table 1).
3.1.2.1. The social interactions
In order to represent the interactions between the different stakeholders, three major
interacting communication systems are defined. The communication system
represents a network that defines the types of relationships between the stakeholders
and their interactions. In our study, the communication system is composed by the
social, the institutional and the market networks:
1. The social network describes the social relationships and interactions
between farmers through different social groups (ethnic, family,
neighbourhood). In the social network, the interactions concern exchange
for seeds, labour, land, manure, etc. ;
2. The institutional network describes the relations and the interactions
between organizations (Government Organisation, NGO, Farmer
Organization, Enterprise, Research Institution, etc. ). The institutions
interact between them to coordinate their activities and use the institutional
network to support the farmers’ activities;
3. The Market network: It will include both price variations and
connections, i.e. practical, social and legal restrictions to the free theoretical
market (customs, family and social networks, impacts of market sizes and
distances).</p>
        </sec>
      </sec>
      <sec id="sec-4-2">
        <title>3.2. Toward a generic and integrated meta-model for land use and management representation in West-Africa</title>
        <p>Based on the general conceptual framework defined, a generic and integrated
metamodel is developed to define a common and shared representation of land use and
land management in West-Africa (Figure 2). The meta-model is composed of
different components of land use and land management system. That concerns the
meteorology data, the land and land cover specification, the spatial organization of
the targeted system. In addition, the meta-model defines the socio-economic
characteristics of the households (Figure 3), the policies supports to households
(Figure 4) and their activities (Figure 5). The meta-model integrates the land
management practices and their socio-economic impacts. The land management
concerns the crop, water, livestock and forest management. Finally, a biophysical
component describes the soil and plant characteristics.</p>
        <p>For example the household meta-model defines the typology of household from
social, economic and policy point of view. From the social point of view, it defines
the type of household characteristics: number, farm family size, farm size (ha),
livestock size, external income, cropping system, number of external workers, the
socio-professional networks. In addition, the meta-model describes the family
composition: the groups age, the birth and death rates, labor provided by each group
age, money need, female proportion in the group, migration rate of the group, etc.
From the economic point of view, the meta-model describes the occupation of the
Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.
households (farmers, off-farm work) and their activities (crop production, livestock
production and forestry activity). From the policy point of view, the meta-model
describes the different types on interventions (aid, credit, crop insurance, Off-Farm
Wage labor, etc.) that household can beneficiate from the policy makers, project
developers, etc.</p>
        <p>Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.
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        <p>Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>4. Discussion &amp; Conclusion</title>
      <sec id="sec-5-1">
        <title>4.1. Formalizing the need of a model</title>
        <p>
          According to
          <xref ref-type="bibr" rid="ref10">Landais et Deffontaines (1987</xref>
          ), a model is a “theoretical and finalized
representation of a reality formulated on the basis of situated observations, of a
predefined framework that will then be applied to study cases and permits to give
representations quickly”. A model serves to establish structural relationships and
functions existing between the factors that one would like to analyze. The objective
is to determine the type of relationships existing between these factors and the
weight of each factoring the relationships
          <xref ref-type="bibr" rid="ref16">(Parker et al, 2001)</xref>
          . A model does not
exist if it is only about a goal, an objective, which can be problem solving,
decisionsupport or simply experimentation
          <xref ref-type="bibr" rid="ref12 ref20">(Roy, 1992; Le Bars 2003)</xref>
          . This definition
adopts an operational standpoint, thereby insisting on the subjectivity and the need
for an objective for every model. This definition paradoxically originated from
geographers, who explicitly include maps in this definition, whatever the data origin
they rely on. The intrinsic objective of a model is therefore to accelerate and/or
facilitate the analysis of a subject
          <xref ref-type="bibr" rid="ref17">(Perrot et Landais, 1993)</xref>
          .
        </p>
      </sec>
      <sec id="sec-5-2">
        <title>4.2. Relevance of ABMs in social simulations of rural development issues</title>
        <p>
          Our issue is intrinsically linked to the characteristics of West African locations:
these belong to complex societies and ecosystems, whose components are linked
together by various interactions, each related to different scientific disciplines. One
cannot select a single interaction among all possible ones as the main and
determining relationship that conditions the evolution of such systems. These
interactions have therefore to be considered as a whole, without which one cannot
understand the functioning of this society. An ABM approach is de facto justified
because such models are adapted to the context, the concepts and the question:
• ABMs are adapted to the context of "developing" countries: The low
availability of quantitative data and the difficulty of launching statistically
reliable investigations limit the use of statistical or multi-criteria
optimization models. ABMs allow incorporating more easily partial results
coming from different sources (agronomic research stations, statistical
questionnaires, open interviews, experts interviews, direct observations or
theoretical behavior rules)
          <xref ref-type="bibr" rid="ref15 ref16 ref2 ref4">(Berger, 2001; Bousquet et al., 2001; Le Page et
al, 2004)</xref>
          .
• They are relevant for the analysis of social systems that are multi-active,
multi-rational and where interactions and relationships play a major role.
        </p>
        <p>
          The agent-based approach can integrate quantitative and qualitative
Copyright © by the paper’s authors. Copying permitted for private and academic
purposes. Proceedings of the Spatial Analysis and GEOmatics conference, SAGEO
2015.
variables and thus better formalize the combination of disciplines
          <xref ref-type="bibr" rid="ref18 ref3">(Rouchier et Requier-Desjardins, 1998; Berger 2000)</xref>
          .
        </p>
        <p>
          They are relevant through their approach, i.e. a differentiation of accesses
to production means and to the related gains. Micro-economic models rest
on the explicit choice of an entity but cannot deal with the effects of the
interactions between several dozen entities because they are rapidly
submerged by the utility functions with several hundred unknowns. Thanks
to their emergence capacity, ABMs can be used according to a very
empirical approach
          <xref ref-type="bibr" rid="ref9">(Janssen &amp; Ostrom, 2006)</xref>
          .
        </p>
        <p>And finally, we consider as obvious the fact that, for answering a land use
issue, the model we consider should be spatialized. Thus, in the ABMs'
typology of Gilbert et al, (2006 p.149-152), we stand in the category of
spatialized and empirical models.</p>
      </sec>
      <sec id="sec-5-3">
        <title>4.3. Facing the cliff of implementing an efficient modelling approach</title>
        <p>
          Simplification vs. Empirism: a practical tension resides between explorers of
processes and explorers of reality. The typology of
          <xref ref-type="bibr" rid="ref7">Gilbert (2006)</xref>
          separates models
into two groups: the first one is "abstract" where models are theoretical situations
focusing on a specific issue, putting apart the general context. The second group is
descriptive: such models describe a real situation with all its complexity. As we
consider the real West African situations, we clearly stand in the second group.
However, the scenarios we consider to implement, with not yet land policies are
closer to abstract models given the calls on prospective theories.
        </p>
        <p>
          Exploring vs. decision support: Along the inherent objective of any model to explore
the variability of a reality through its virtual formalization, modelling for West
African issues implies that it has an applicable objective, i.e. for a development
issue. Practically, such an objective could not be overcome once one should
understand that any funding for research programs do have links with development
institutions, which aims and goals are to mitigate issues related to developing
countries. We support the idea that an ex ante structured formalization of the
hierarchy and the sequence of the tasks to be assessed can mitigate such a constraint.
Modelling interdisciplinary processes: beyond the traditional mantra for
interdisciplinary, the regularity of the failure of interdisciplinary modelling projects
questions the capacity for human scientists to overcome inherent paradigms and
points of view belongings to each discipline, i.e. scientific crispation, and affective
and institutional brakes to such processes, i.e. position crispation. We do support as
well the idea that an ex ante formal brainstorming along resilient methods of
conceptual sharing such as ARDI
          <xref ref-type="bibr" rid="ref5">(Etienne et al, 2011)</xref>
          may mitigate such a
constraint.
        </p>
        <p>Integrated assessment modelling of environmental impacts of land use policy
13</p>
      </sec>
    </sec>
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