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V. Toward A Synthesis of Process and Methods for Understanding Conservation Behaviors
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BACKGROUND We have discussed the general process of un- |
"bones" by presenting illustrative examples of The goal of this first step of the assessment pro-
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Who and What? Because questions about actors and actions can- |
meetings. In the area around Ranomafana Na- tional Park in Madagascar, for example, about 20 groups of actors in the natural resources man- agement situation were identified using a com- bination of methods (see Table 2). Some of those groups have overlapping membership; Venn diagrams can be used to indicate how the membership of such social groups overlaps (see Fig. 22). |
Table 2. Major Actors or Stakeholders in the Ranomafana National Park Area, Madagascar
Peripheral Zone Residents
| Some information-gathering tools such as dia- grams or matrices allow information to be or- ganized and displayed while it is being gath- ered during participatory activities like focus groups or community meetings. Such tools are often used by practitioners of participatory methodologies like RRA and PRA. The tools combine information gathering with participa- tory analysis, and often allow quick insights into behavioral motivations. One example, a dia- gram of natural resources management activi- ties by gender in Okambuga village, Namibia, that was produced by villagers during a par- |
ticipatory rural appraisal activity, is shown in Figure 10. The diagram indicates that men cut trees and men and boys herd cattle, while women collect firewood, wild foods, and wa- ter. Figure 11 shows a matrix of user groups and the uses they make of various natural re- sources. The matrix was produced during a rapid rural appraisal activity in the Koundou Watershed, Fouta Djallon, Guinea. Note the use of a very simple quantification technique- placing varying numbers of beans or stones in a given square of the matrix- to indicate the degree of resource use by various user groups. |
Figure 10. Natural Resources Management Activities by Gender, Okambuga, Namibia

Source: Cousins, Davids, and Wyckoff-Baird, 1994
Figure 11. Matrix of User Groups and Natural Resource Uses, Koundou Watershed,
Fouta Djallon, Guinea
Source: Freudenberger, 1994, p. 39
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Understanding which behaviors are relevant to |
grazing lands, secondary forest, fallow areas, or undisturbed forest are a summative record of behavior as recorded on the landscape. Fig- ures 12 and 13 show two creative ways in which maps and transects can represent important in- formation about resource uses. In Figure 12 the control of- and responsibility and labor inputs for- various resource uses are identified by gender on a map from the Dominican Repub- lic. Basic economic resource flows from a household in Nepal are shown on the map re- produced in Figure 8. |
Figure 12. Resources Map from Zambrana, Dominican Republic, Showing Control, Responsibility, and Labor by Gender |
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| Source: Rocheleau and Ross, 1993, reproduced in Thomas-Slayter, Esser, and Shields, 1993, p. 19 | |
Figure 13. Transect from Kiboum, Cameroon, Showing Natural Resources and Land Uses
Source: Freudenberger and Gueye, 1990, p.31
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When? Understanding when behaviors that affect natu- |
This information can be organized in the form of seasonal calendars or timelines. A number of social research methods, including surveys, interviews, focus groups, direct observation, and community meetings, can be used to gather information. Figure 14 shows one such seasonal calendar. |
Figure 14. A Seasonal Calendar from Mbusyani, Kenya
Source: National Environment Secretariat, et al., 1990, p. 38
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Trends? Identifying long-term changes in the quantity, |
stable or increasing. A historical matrix is a con- venient way of representing quantitative infor- mation about trends over time. Participatory techniques such as community meetings can be used to gather the information for this type of matrix; many other social research methods, such as interviews or surveys, can be used also. Figures 15 and 16 show examples of the use of historical trends matrices. |
Figure 15. Historical Trends in Natural Resources and Land Use from Okambuga
Village, Namibia

Source: Cousins, Davids, and Wyckoff-Baird, 1994
| Figure 16. Historical Matrix of Resources and Land Use from Ndam Mor Fademba, Senegal | |
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Source: Freudenberger, 1994, p. 40 |
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TOOLS FOR IDENTIFYING CRITICAL BEHAVIORS The goal of the second step of the assessmentprocess is to identify the most critical behav- iors of relevant actors (including individuals and organizations or groups at the local, national, and international level) to target for mainte- nance or change. In the previous step, an un- derstanding of the range of relevant behaviors and their social and ecological context was de- veloped. This second step serves to refine the assessment of the situation and identify behav- iors to focus on. Practitioners and communi- ties should ask: Which behaviors are the big- gest threat or problem? Which have the most |
potential to provide for human well-being in a sustainable fashion? Decisions, actions, and practices with the biggest impact, positive or negative, on ecological and social sustainability are the most critical. Identifying critical behaviors requires informa-
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Focus on Specific Behaviors Rather than on
One way to begin to identify which relevant ity of trees in a Namibian village shown in Fig- ure 17 is an example of one tool for getting spe- cific. This matrix was generated by a group of villagers as part of a participatory rural appraisal exercise (Cousins, Davids, and Wyckoff-Baird, 1994). Information for similar matrices could be obtained using other social research meth- ods, such as direct observation, surveys, or in dividual interviews. The matrix gives informa- tion about 10 important uses of 11 tree species. The matrix thereby identifies specific behav- iors such as "cutting omufyaati trees for fenc- ing material" or "cutting omulunga trees for craft-making," rather than the general behav |
ioral category "cutting trees." A simple
quanti- fication technique based on placing from one to five dots in the cell of the matrix shows the relative availability of each species (left col- umn) and relative importance for each use (body of matrix). Comparing availability and impor- tance for various uses can give an indication of which kinds of tree cutting are the biggest threats to people's well-being. For example, the omulunga tree was described as very important (five dots) for making tools, crafts, liquor, and as food; it is the only species used for crafts; and it is also very rare (no dots, left column). The local people who created this matrix com- mented that because of the scarcity of omulunga trees, craft-making is a threatened activity, de- spite the fact that it plays a "very important part in the history and income generation of the people." Omuthakano trees, in contrast, have only one use- as fodder- a use for which sev- eral other abundant or not-so-rare trees will also do. The information in the matrix thus shows that reducing the cutting of omulunga trees is much more critical for sustainable well-being than reducing the cutting of omuthakano trees. |
Figure 17. Uses and Importance of Trees in Omuthiya Village, Namibia
Source: Cousins, Davids, and Wyckoff-Baird, 1994
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Prioritize Based on the Impact of Behaviors on Sustainability
Historical trend matrices generated by partici Simple matrix techniques can be used to rank |
list of behaviors seen as direct pressures or Understand the Feasibility of Influencing Relevant Behaviors Information about how common a given practice or action is in a community may provide some insight into how feasible it may be to in fluence it. If most people in a community en- gage in an unsustainable behavior, there are undoubtedly good reasons why, and changing it may be difficult. If no one, or very few people, engage in a sustainable practice it may be hard to increase its acceptance. A number of meth ods, including direct observation, surveys, in- terviews, or participatory group methods, can be used to obtain information about how com- mon a given behavior is. Matrices comparing the frequency of the behavior in various sub- groups within a community (rich-poor, young- old, women-men, etc.) can give a more detailed picture of the behavior. Simple quantification techniques, such as placing varying numbers of dots or beans in a matrix cell to show rela- tive frequencies, can be used. It is also important to find out where the locus |
Figure 18. Pairwise Ranking Matrix of Behavioral Threats to Sustainability
in Ranomafana National Park, Madagascar

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BEHAVIOR LEMUR HUNTING Adapted from Swanson. 1995 |
# OF TIMES PREFERRED 6 |
RANK 8 |
| decide which tree species to cut for firewood, women must be the audience for any effort to influence firewood collection practices. Infor- mation about the locus of decision-making power, or the level at which a given natural re- source management decision is made, can be represented in a matrix like that given below in Figure 19. Such a "level of decision" matrix can help practitioners and communities under- |
stand how they might best try to influence a given behavior: "By persuading individuals to change their practices? by working through the head of the family who has the most influence over a given activity? by persuading the chief of the village or village council to promulgate a certain regulation? by encouraging the gov- ernment to enact national legislation?" (Freudenberger, 1994). |

Source: Freudenberger, 1994, p. 58
| TOOLS FOR UNDERSTANDING THE KEY FACTORS THAT INFLUENCE BEHAVIORS The goal of this step of the assessment process Three approaches to understanding key factors
Each of these approaches requires information- Potentially Important Factors Checklists of factors that could potentially in- |
ward biodiversity resources are described in a Matrices using simple quantification techniques Perceived Benefits and Barriers If the behavior in question is practiced by some |
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Figure 20. Decision free for Identifying Factors That Influence Behaviors and Selecting Strategies to Affect Those Factors |
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Source: Mapaad from the Flow Diagram in Analyzing Perlotmasce ProbLems, Mager & Pipe, Second Edition. 1984. p.3. Copyright© 1964 by Lake Publishing Company, Belmont, CA 94002. |
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Source: Graeff, Elder, and Booth, 1993, p. 73 |
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Box 13 Comparing Doers and NonDoers to Understand Perceived Benefits and Barriers: An Example from the Health Sector An example in which doers and nondoers were compared to understand perceived benefits and barriers to condom use comes from a study on "Understanding Women's Prevention Behavior," carried out as part of the USAID-funded AIDSCOM Project. Katherine Carovano and Susan Middlestadt compared Tanzanian women who said that they always use condoms (doers) with those who don't (nondoers). Doers and nondoers differed significantly on four measure of "perceived self-efficacy" - their perceived self-efficacy was evaluated by whether the women said they "know hoe to" actually use condoms, discuss using condoms with their partner, force their partner to use condoms, and refuse to have sex if their partner doesn't use a condom (Carovano and Middlestadt, 1993). These differences show that both knowledge and skill factors are acting as barriers to behavior change in this case. This understanding leads quickly to ideas about interventions that could lower those knowledge and skill barriers and thereby influence behavior. |
| Matrices can also be used as tools for compar- ing the costs and benefits of various activities. |
An example from a village in India is given in Figure 21. |

| Causal Webs or Wiring Diagrams Venn diagrams can be used to "map" or repre- |
and their environmental linkages (see Fig. 7). Level of decision matrices, such as that shown in Figure 19, can provide additional related in- formation about linkages and relationships be- tween social institutions. Supplemented with in- formation gathered using other methods and tools, more complete diagrams can be devel- oped, and these can be a source of important clues and hypotheses about the key factors that influence critical natural resources management behaviors. |

Source: Freudenberger and Freudenberger 1993, p. 20