ࡱ>   5@ \bjbj22 zXXVU rrrrbbb$HVVVPVXH\Y_(:_:_(`fg pm,o$RbvPfbgvvrr:_(`(( vrH:_b(`v$Gb(`PY @DVbǾ,aH<~~Xrrrrvbhz}  p y4HzHHd+I HHI Using Results Chains to Improve Strategy Effectiveness An FOS How-To Guide May 2007  Contents  TOC \o "1-2" \h \z \u  HYPERLINK \l "_Toc168160118" What are Results Chains?  PAGEREF _Toc168160118 \h 1  HYPERLINK \l "_Toc168160119" Why Results Chains Are Useful  PAGEREF _Toc168160119 \h 1  HYPERLINK \l "_Toc168160120" 1. Discuss and Refine Their Theories of Change  PAGEREF _Toc168160120 \h 1  HYPERLINK \l "_Toc168160121" 2. Develop Objectives and Indicators to Measure Effectiveness  PAGEREF _Toc168160121 \h 3  HYPERLINK \l "_Toc168160122" 3. Develop a Common Framework for Cross-Site Learning  PAGEREF _Toc168160122 \h 4  HYPERLINK \l "_Toc168160123" When to Use Results Chains  PAGEREF _Toc168160123 \h 4  HYPERLINK \l "_Toc168160124" How to Develop and Use Results Chains  PAGEREF _Toc168160124 \h 4  HYPERLINK \l "_Toc168160125" Step 1. Construct an Initial Results Chain Based on Your Conceptual Model  PAGEREF _Toc168160125 \h 5  HYPERLINK \l "_Toc168160126" Step 2. Complete the Links in the Results Chain  PAGEREF _Toc168160126 \h 6  HYPERLINK \l "_Toc168160127" Step 3. Verify that Your Results Chain Meets Criteria of a Good Results Chain  PAGEREF _Toc168160127 \h 6  HYPERLINK \l "_Toc168160128" Step 4. Develop Key Results Into Good Objectives  PAGEREF _Toc168160128 \h 7  HYPERLINK \l "_Toc168160129" Step 5. Establish Indicators to Monitor the Effectiveness of Your Strategy  PAGEREF _Toc168160129 \h 8  HYPERLINK \l "_Toc168160130" Step 6. Document Your Work  PAGEREF _Toc168160130 \h 9  HYPERLINK \l "_Toc168160131" Examples of Results Chains  PAGEREF _Toc168160131 \h 9  HYPERLINK \l "_Toc168160132" Example 1. Strategies to Reduce Agricultural Expansion in Grasslands  PAGEREF _Toc168160132 \h 9  HYPERLINK \l "_Toc168160133" Example 2. Strategy to Strengthen Law Enforcement to Reduce Illegal Fishing  PAGEREF _Toc168160133 \h 10  HYPERLINK \l "_Toc168160134" How Project Teams Have Used Results Chains  PAGEREF _Toc168160134 \h 11  HYPERLINK \l "_Toc168160135" 1. Results Chains Help Teams Discuss and Refine their Theories of Change  PAGEREF _Toc168160135 \h 11  HYPERLINK \l "_Toc168160136" 2. Results Chains Help Teams Develop Objectives and Indicators  PAGEREF _Toc168160136 \h 13  HYPERLINK \l "_Toc168160137" 3. Results Chains Help Teams Develop a Framework for Cross-Site Learning  PAGEREF _Toc168160137 \h 14  HYPERLINK \l "_Toc168160138" Some References  PAGEREF _Toc168160138 \h 15  This guide is part of an ongoing series from Foundations of Success. Our aim is to help conservation practitioners design, manage, monitor, and learn from their work. This guide is based on the Adaptive Management principles and practices in the Conservation Measure Partnerships Open Standards for the Practice of Conservation. Materials in this guide have been adapted from previous works produced by Foundations of Success and members of the Conservation Measures Partnership. To provide feedback or comments, you can contact Foundations of Success at  HYPERLINK "mailto:info@FOSonline.org" info@FOSonline.org. Visit our website at  HYPERLINK "http://www.FOSonline.org" www.FOSonline.org to download the most recent version of this guide. This work is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 3.0 License. To view a copy of this license, visit  HYPERLINK "http://creativecommons.org/licenses/by-nc-sa/3.0/" http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, CA 94105, USA. What are Results Chains? A results chain is a tool that shows how a project team believes a particular action it takes will lead to some desired result. More specifically, for conservation projects, a results chain represents a teams assumptions about how project or program strategies will contribute to reducing important threats, leading to the conservation of priority biodiversity targets. In essence, results chains are diagrams that map out a series of causal statements that link short-, medium-, and long-term results in an ifthen fashion. As shown in Figure 1, there are three basic components of a results chain: a strategy, expected outcomes, and desired impact. Using these components, a project team can then go on to define objectives and goals that describe the desired future state of outcomes and impacts, respectively (see Box 1 for a definition of these terms). Results chains are often derived from conceptual models. But they differ in that while conceptual models show the state of the world before the project takes action, the results chain shows the state of the world resulting from this action. Results chains are similar to the logic models used by many organizations, but have the added benefit of showing the direct relationships between one result and another. Figure  SEQ Figure \* ARABIC 1. The Basic Components of a Results Chain  EMBED Visio.Drawing.11  Why Results Chains Are Useful Results chains help conservation project teams accomplish three things: 1. Discuss and Refine Their Theories of Change Often, project teams implement strategies without really knowing for sure how these actions will lead to conservation. They often rely on past experience, expert knowledge, or wishful thinking. Whatever the reason, they rarely formally state their assumptions about exactly how the strategy will achieve their desired outcomes and impacts. As shown in Figure 2, it is likely that they have many implicit assumptions about how their strategies will contribute to achieving conservation their theory of change. At the same time, it is not uncommon for members from the same team to hold different assumptions that they have not communicated with one another. Because the assumptions are not explicit, the project team cannot come to an agreement on their theory of change or test it and learn over time whether it is valid. Figure  SEQ Figure \* ARABIC 2. Implicit Assumptions For example, a team may decide that they will help build community capacity for forest resource management and that this will decrease illegal logging in indigenous communities and conserve the state of primary forest in those communities. But, how will they know if that has happened? They may assume that stronger community capacity will increase community knowledge about their rights, and with these rights, they will exert more control over external actors, including those responsible for the illegal logging. The team may also assume this control will result in more illegal wood confiscated and less illegal logging. It is quite likely, however, that they have not made their assumptions as explicit as they are laid out in Figure 3 and that they are not testing them. As such, they have little chance of systematically testing whether their actions are contributing to less illegal logging and the conservation of primary forest. If, however, the team members make their assumptions explicit using a results chain as shown in Figure 3, then they debate their theory of change both internally and with external stakeholders and advisors. There are many points at which this project teams logic could Figure  SEQ Figure \* ARABIC 3. Results Chain for Community Capacity Building for Forest Resource Management  EMBED Visio.Drawing.11  break down for example, just because the community has greater knowledge about its rights does not mean that they will take the next step and exert more control over illegal loggers. Perhaps there are security concerns that would prevent them from taking action. Or maybe they are able to reduce the amount of illegal selective logging that happens, but the government has just designated a block of forest for clear cutting. So, the primary forest would still not be conserved. To be successful, a project must be based on both sound project theory in other words, an accurate results chain and good implementation. When a project does not produce desired results, people usually assume that the project team did not carry out the planned activities well enough. As shown in Figure 4, however, projects may fail due to theory failure, even when the project team does an excellent job implementing the project activities. Results chains can be used to help diagnose theory failure once it has happened, or better yet, before the project is fully designed and implemented. Figure  SEQ Figure \* ARABIC 4. Necessary Ingredients for Project Success  2. Measure Effectiveness Once a project team has come to agreement on their theory of change, they can use their results chain to define their project objectives and indicators needed to measure effectiveness. An objective is a desired result that is specific, measurable and time-bound. For example, if a project team wants to achieve the result of more indigenous knowledge about rights, they can convert this result into an objective by determining who needs to have more knowledge (how many individuals and communities), what knowledge they need to have, and by when. They can then identify indicators to measure whether or not they achieve this desired change. Establishing objectives and indicators along the chain will set the project team up to collect the data needed to test their assumptions and learn whether their theory of change is valid. In addition to project-cycle monitoring, results chains are also useful to help set up more formal experimental monitoring designs where appropriate. By laying out hypotheses in a results chain, project teams and researchers can then develop and implement the appropriate research design to test these hypotheses. 3. Develop a Common Framework for Cross-Site Learning Finally, results chains can help practitioners to learn across sites. Project teams working in different sites are often implementing the same strategies and have common assumptions about how these strategies will contribute to conservation. Results chains can provide a framework for defining and testing these common assumptions and learning about the conditions under which a strategy is or is not effective, and why. When to Use Results Chains Results chains are an important tool to use in Developing Your Action Plan (Step 2A of the CMP Open Standards for the Practice of Conservation). In particular, results chains help you make your assumptions explicit about how your strategies will help you achieve your conservation results. You will also use the results chains for Designing Your Monitoring Plan (Step 2B) and for the Analyze, Use and Adapt phase (Step 4), when you will analyze the extent to which you have achieved your goals and objectives and why you have or have not seen progress. If you have implemented your project as planned but have not achieved your desired results, you should examine what assumptions in the results chain may not be valid and make necessary changes to strengthen your project theory. The results chains will also be important inputs for the Feedback and Evaluations step (Step 5C), because they define your project theory, which provides evaluators with a framework for measuring the progress of your project. How to Develop and Use Results Chains The following outlines the basic steps for completing a results chain. This guide assumes that you have already developed a conceptual model for your project and prioritized your direct threats. It also assumes that you have selected from your conceptual model a conservation target, direct threat, and strategy for which you want to develop a results chain. To illustrate how to develop and use results chains, we will use a fictitious example, based on a watershed site. We will focus on the threat of harvesting of sturgeon for caviar, which was ranked as a very high threat to sturgeon. As shown in Figure 5, the Volga River watershed project team has decided to organize a media campaign to influence the critical factor of traditions and consumer preferences that drive the demand for caviar and harvesting of sturgeon. We will develop a results chain for this media campaign strategy.  In workshop settings, it is best to develop results chains using index cards and a sticky board or flipchart paper and Post-it notes. The final product can then be captured using Miradi, MS Visio, PowerPoint, or another flow-charting software program as outlined below. Step 1. Construct an Initial Results Chain Based on Your Conceptual Model Start by developing a very simple (and probably incomplete) chain, based on the relevant factors in your conceptual model. To do this, you will just need to convert these factors into results. Factors are neutral (e.g., government fisheries policies) or may be negative (e.g., weak institutional capacity), whereas results are stated as desired changes in these factors (e.g., strengthened capacity to enforce fisheries regulations). A very simple results chain based on our watershed example is shown in Figure 6. Figure  SEQ Figure \* ARABIC 6. Factors from a Conceptual Model Converted into an Initial Results Chain  EMBED Visio.Drawing.11  Step 2. Complete the Links in the Results Chain The next and usually most difficult step is to complete the results chain, adding all the intermediate results necessary to create clear, logical ifthen linkages along the chain. There are several different ways to do this. One way is to work from the left to the right, asking what the immediate results or outcomes of the strategy should be, what intermediate outcomes they will produce, and what additional outcomes are necessary to reduce your threat. Another way is to work from right to left, asking what needs to happen to reduce the threat, what outcomes are needed to make that happen, etc. Yet another way is to brainstorm intermediate results and then organize them along the chain, assuring that there are clear, causal ifthen linkages between each pair of results. Be sure that these linkages are causal (e.g., X result will cause or contribute to achieving Y result) and not simply chronological (e.g., the project team will work toward result A before trying to achieve result B). If you are developing a new strategy for a threat that you have not addressed in the past, we recommend building the chain from right to left, so that you are clear about what you need to accomplish to minimize the impact of this threat on your targets. For example, if you are beginning to address residential development as a threat to a coastal area, then youll need to determine if development is degrading coastal ecosystems because it is not sited in appropriate areas (which could be addressed through better planning) or if the problem is that sewage treatment plants are currently overloaded and additional development exacerbates this problem (which would require building public support for upgrading these facilities). If, however, you understand the threat well and have a few years of experience applying a specific strategy, then it may be easier to build the chain from left to right. As shown in Figure 7, the Volga River watershed project team felt that if they could increase consumers knowledge about sturgeon, this would increase their interest in sturgeon conservation, which would change consumer preferences, decreasing demand for caviar, which would reduce harvesting of sturgeon for caviar. Figure  SEQ Figure \* ARABIC 7. Complete Results Chain for the Media Campaign  EMBED Visio.Drawing.11  Step 3. Verify that Your Results Chain Meets Criteria of a Good Results Chain A good results chain should meet the following criteria: Results oriented: Boxes contain desired results (e.g., reduction of hunting), and not activities (e.g., conduct a study). Causally linked: There are clear ifthen connections between successive boxes. Demonstrates change: Each box describes how you hope the relevant factor will change (e.g., improve, increase, or decrease). Reasonably complete: There are sufficient boxes to construct logical connections but not so many that the chain becomes overly complex. Simple: There is only one result per box. For this step, you should review these criteria and make sure your results chain meets them. In particular, you want to make sure that your results chain is results oriented. A common mistake with developing results chains is to list all the activities that your team must undertake to implement your strategy (see Figure 8 for an example). This produces an implementation chain, not a results chain. An implementation chain does not show the causal logic that connects a strategy to a desired conservation impact. As such, it does not provide you with an idea of the assumptions you need to test in order to know whether your strategy is working or not. Figure  SEQ Figure \* ARABIC 8. Example of an Implementation Chain  EMBED Visio.Drawing.11  Step 4. Develop Key Results Into Good Objectives If you know certain results are necessary for the assumptions behind your strategy to hold, then you have a good idea of where you need to set your objectives they should be tied to key results in your results chains. Not all boxes in your results chain should have objectives though you and your team will have to determine which results in your chain are particularly important and set objectives for these results. You will have to use your judgment for determining which are key results, but, at a minimum, you should try to choose results where, if you dont see a change, the rest of the chain will not hold. You should establish a threat reduction objective (attached to the purple box) and you should have at least one objective on the left-hand side of your chain (a short-term objective) and at least one in the middle of the chain. Figure 9 shows which results the team considered key results, where objectives should be set. Figure  SEQ Figure \* ARABIC 9. Example of Objectives Linked to the Results Chain  EMBED Visio.Drawing.11  It is important to pay attention to the timing of the objectives along the chain. In this example, the project team plans to reduce demand for caviar by 2010. Harvesting of sturgeon is driven by demand for caviar, so it will not be possible to reduce harvesting of sturgeon until after demand for caviar decreases. The objective for reducing harvesting of sturgeon for caviar is set for 2012. As a general rule, once you have developed your draft objectives, you should review them to make sure that they meet all the criteria for a good objective: Outcome Oriented ( Represents necessary changes in critical threat and opportunity factors that affect one or more project goals Time Limited ( Achievable within a specific period of time Measurable ( Definable in relation to some standard scale (numbers, percentage, fractions, or all/nothing states) Specific ( Clearly defined so that all people involved in the project have the same understanding of what the terms in the objective mean Practical ( Achievable and appropriate within the context of the project site In the Volga River example, the project team developed the following objectives, linked to their chain: Objective 1. By 2008, at least 70% of the target population in 8 major European cities is supportive of existing laws to conserve Russian sturgeon. Objective 2. By 2010, the number of kilos of Russian caviar sold annually has decreased at least 30%. Objective 3. By 2012, the average monthly sturgeon harvest in the Volga River watershed has decreased at least 30%. Additional guidance for developing objectives and goals may be found at  HYPERLINK "http://www.fosonline.org" www.fosonline.org. Step 5. Establish Indicators to Monitor the Effectiveness of Your Strategy Once you have developed your results chain and linked objectives and goals to it, it should be fairly easy to identify what indicators you should use to monitor the effectiveness of your strategy. By developing results chains and setting good goals and objectives, you have narrowed down a nearly infinite set of potential indicators to a very manageable set. Figure 10 shows example indicators developed for the media campaign to reduce harvesting of sturgeon. Additional guidance for defining indicators and developing monitoring plans may be found at  HYPERLINK "http://www.fosonline.org" www.fosonline.org. Figure  SEQ Figure \* ARABIC 10. Example of Indicators Linked to the Results Chain  EMBED Visio.Drawing.11  Step 6. Document Your Work Once the group is happy with the results chain, then you should capture what you have done using a computer flow-chart program. Software programs you can use include: Miradi Adaptive Management Software Software that the Conservation Measures Partnership is designing to help practitioners complete all of the steps in the adaptive management cycle. It includes diagramming software that facilitates the design of conceptual models and results chains. See Box 2. Visio Commercial diagramming software with features that facilitate digitizing flow charts such as results chains. Word or PowerPoint You can use the drawing features in Microsoft Word or PowerPoint to create results chains, but they tend to be more time-consuming than using Visio or Miradi. In addition to digitizing the results chain and linking your objectives and indicators to it, you may also want to write a few paragraphs describing the chain. This text will help others who did not participate in the discussion to understand your assumptions and it will also serve the purpose of formally documenting group discussions and decisions. Examples of Results Chains In this section, we provide some examples of results chains developed by real project teams. In most cases, we have made a few minor changes to the chains to remove site-specific elements and make them easier to understand. Example 1. Strategies to Reduce Agricultural Expansion in Grasslands The chain in Figure 11 focuses on developing regulations to reduce agricultural expansion in priority desert grasslands. As this example shows, a results chain can include more than one chain. This chain includes one branch leading to the refusal of land use change petitions in priority grasslands and another branch leading to the refusal of new water concessions (which make it possible to use the grasslands for agriculture). Figure  SEQ Figure \* ARABIC 11. Results Chain for a Strategy to Reduce Agricultural Expansion in Grasslands  EMBED Visio.Drawing.11  Adapted from the WWF Chihuahuan Desert Strategic Plan Example 2. Strategy to Strengthen Law Enforcement to Reduce Illegal Fishing The following chain focuses on strengthening law enforcement to reduce illegal fishing in spawning aggregations. As shown in Figure 12, this strategy includes 3 activities: strengthening the capacity of authorities to enforce laws, strengthening NGO capacity to support law enforcement and promoting more severe punishments for illegal fishing. It is a bit more complex than our earlier example and at certain points two results are needed to achieve the subsequent result. For example, the chain includes the assumption that if there are both 1) more individuals caught and equipment confiscated and 2) more severe fines and punishments, then there will be a greater economic disincentive to fish illegally. Figure  SEQ Figure \* ARABIC 12. Results Chain for a Strategy to Strengthen Law Enforcement to Reduce Illegal Fishing at Spawning Aggregation Sites  EMBED Visio.Drawing.11  Adapted from the Draft TNC Mesoamerican Reef Action Plan After developing the core part of this chain, the project team added another activity onto it, as shown in Figure 13. Figure  SEQ Figure \* ARABIC 13. A More Complex Version of the Example Law Enforcement Results Chain How Project Teams Have Used Results Chains In this section, we discuss how project teams have used results chains to increase their effectiveness. 1. Results Chains Help Teams Discuss and Refine their Theories of Change As stated above, results chains can help teams to discuss their assumptions openly and either reach agreement on shared assumptions or agree to disagree on certain parts of their theory of change. For example, most conservation enterprise projects are based on a common set of assumptions about activities increasing the income of project beneficiaries and this increase in income contributing to biodiversity conservation. It can be difficult, however, to define specifically how increased income contributes to greater biodiversity conservation. Figure 14 shows a results chain produced by a conservation project team working on the management, marketing and sale of Brazil nuts (a non-timber forest product). The team developed their chain working from both the left and the right side of the chain. On the left-hand side of the chain, project interventions would lead to higher quality Brazil nuts, which would be worth more and lead to increased income for the Brazil nut harvesters. On the right-hand side of the chain, the team was trying to reduce agricultural encroachment into primary forest. In the middle, their initial chain included a gap. They had a hard time defining exactly how higher income would contribute to less agricultural encroachment. Figure  SEQ Figure \* ARABIC 14. Initial Results Chain for Improving the Management of Brazil Nut Forests  EMBED Visio.Drawing.11  The team wanted the Brazil nut harvesters higher income to improve their quality of life, for the improved quality of life to increase recognition of the economic value of intact forest, and for this to increase local commitment to forest conservation and management, as shown in the bottom chain in Figure 15. They were concerned, however, that higher income could have unintended outcomes. Because Brazil nut harvesters only work harvesting the nuts for about 3 months each year, they depend on other sources of income during the other 9 months of the year. Increasing their income could cause them to invest money in an activity that isnt compatible with forest conservation. For example, they could decide to buy some cattle and clear little patches of forest to create pasture (in remote areas of Latin America, people often invest their savings in cattle instead of banks). Building a results chain helped the team talk about desirable and undesirable outcomes and how to increase the probability that their actions will lead to forest conservation. The team agreed that they needed to understand better who was responsible for most of the current forest encroachment, as well as what the Brazil nut harvesters do during the 9 months of the year that they are not harvesting nuts. They discussed the need to work with the harvesters to develop forest management plans that include not only Brazil nut management but also other sustainable resource use activities. Figure  SEQ Figure \* ARABIC 15. Positive and Negative Results from Improving the Management of Brazil Nut Forests  EMBED Visio.Drawing.11 Adapted from the WWF Strategic Plan for the Manuripi Reserve, Bolivia As an extreme example of results chains influencing strategy implementation, some teams have used results chains to discuss the likelihood that a strategy will be successful and decide that it is not worthwhile to invest in that strategy. For example, one ecoregional project team in Africa determined that conversion of forest to agricultural land was a very high threat to two of their targets. They discussed different possible strategies for addressing agricultural encroachment, one of which was sustainable agriculture. But after spending a couple of hours building a more detailed version of a sustainable agriculture chain than what is shown in Figure 16, they determined that many organizations have been investing in sustainable agriculture in Africa for the past several decades and there isnt any evidence to show that increased yields, more permanent crops, or increased income will lead to less conversion of forest to agriculture. They decided not to implement this strategy, because they did not believe it would be effective. Their conclusion was that it is better to invest a few hours discussing assumptions and theories of change and deciding that a specific strategy is unlikely to be effective, rather than investing several years and many thousand dollars implementing projects that are unlikely to contribute to conservation. Figure  SEQ Figure \* ARABIC 16. Results Chain for Using Sustainable Agriculture to Reduce Forest Conversion  EMBED Visio.Drawing.11  2. Results Chains Help Teams Measure Effectiveness The team working on the Brazil nut project mentioned earlier developed objectives and indicators linked to their results chain. As shown in Figure 17, they developed objectives at the beginning, middle and end of the chain. The objectives make the results more specific, measurable and time-bound and improve their ability to measure strategy effectiveness. Figure  SEQ Figure \* ARABIC 17. Objectives Linked to the Results Chain for Management of Brazil Nut Forests  EMBED Visio.Drawing.11  Objective 1. By the end of 2007, 50% of the Brazil nut forests in the reserve have management plans based on sustainable management criteria and these plans are being implemented. Indicator: # of hectares of Brazil nut forest under management plans that are based on sustainable criteria and being implemented Objective 2. In 5 years, the average annual household income from Brazil nut harvesting in forests under management plans has increased by at least 20%. Indicator: annual income for each harvester / family that comes from harvesting Brazil nuts under management plans Objective 3. In 5 years, all of the Brazil nut harvesters participating in the implementation of the management plans are committed to sustainable forest management and abide by all of the reserves regulations. Indicator: % of Brazil nut harvesters participating in the sustainable management of Brazil nuts that support sustainable management of the reserve Indicator: % of the Brazil nut harvesters participating in the sustainable management of Brazil nuts that abide by all of the reserves regulations Objective 4. In 5 years, the rate of deforestation in the reserve has decreased to 150 hectares per year. Indicator: Annual deforestation rate Indicator: Number of new openings in the forest Indicator: Number of new families living in the reserve 3. Results Chains Help Teams Develop a Framework for Cross-Site Learning World Wildlife Funds Southwest Amazon ecoregional team has used results chains to develop a framework for learning across sites about common strategies and theories of change. WWF implements projects in six geographic areas within this trinational ecoregion, including four protected areas in Bolivia, two very large, landscape-level protected areas in Peru, and the states of Acre and Rondonia in Brazil. Over the last couple of years, WWF teams have developed strategic plans with results chains for each of these six operational units. After developing these plans, the trinational ecoregional team decided to examine all of their plans together and identify common strategies and assumptions that could serve as the basis for cross-site learning. WWF identified four common strategies: protected areas management, forest management, fisheries management and enforcement of natural resource management regulations. For each of these strategies, they took their existing results chains and boiled them down to the elements that were common to all of the sites. In this way, they produced four results chains that contain assumptions common to several or all of the sites. These chains represent their framework for cross-site learning. Figure 18 shows one of their common results chains. The trinational team has identified indicators linked to each of the four results chains and they are beginning to monitor the effectiveness of these shared strategies across their sites. Figure  SEQ Figure \* ARABIC 18. Results Chain for Cross-Site Learning about Protected Area Management  EMBED Visio.Drawing.11  Adapted from the WWF Southwest Amazon Cross-site Learning Framework Some References CMP. 2007. Open Standards for the Practice of Conservation. Conservation Measures Partnership. Available at  HYPERLINK "http://www.conservationmeasures.org" www.conservationmeasures.org. Margoluis, Richard, and Nick Salafsky. 1998. Measures of Success: Designing, Managing, and Monitoring Conservation and Development Projects. Chapter 6. Island Press, Washington, D.C. W.K. Kellogg Foundation. Updated January 2004. Logic Model Development Guide: Using Logic Models to Bring Together Planning, Evaluation & Action. Battle Creek, Michigan.  HYPERLINK "http://www.wkkf.org/Pubs/Tools/Evaluation/Pub3669.pdf" http://www.wkkf.org/Pubs/Tools/Evaluation/Pub3669.pdf.     *** DRAFT FOR PEER REVIEW *** *** DRAFT FOR PEER REVIEW *** *** DRAFT FOR PEER REVIEW ***  PAGE 8 Foundations of Success Using Results Chains  PAGE 7  EMBED Visio.Drawing.11   Foundations of Success Improving the Practice of Conservation  HYPERLINK "http://www.FOSonline.org" www.FOSonline.org  HYPERLINK "mailto:info@FOSonline.org" info@FOSonline.org Figure  SEQ Figure \* ARABIC 5. One Strategy and Chain of Factors in a Conceptual Model  EMBED Visio.Drawing.11   EMBED Visio.Drawing.11  Box  SEQ Box \* ARABIC 1. An Overview of Terms Used to Describe Results There is a great deal of confusion over the different terms used to describe the results of a project. What one person calls an outcome, another calls a result, and yet a third person calls an impact. The following figure shows the terms as they are most commonly used by evaluation experts in different fields such as development and public health.  EMBED Visio.Drawing.11  Based on the above figure, the following terms can be defined for use in results chains in biodiversity conservation projects: Impact The desired future state of a conservation target. A goal is a formal statement of the desired impact. Outcome The desired future state of a threat or opportunity factor. An objective is a formal statement of the desired outcome. Output The desired product of an activity or task. Strategies The actions or interventions that a project implements. Result A generic term used to describe the desired future state of a target or factor. Includes impacts, outcomes, and outputs. The above terms refer primarily to a sequence of results in a logical sense. There is also a sequence of results in a temporal sense: Final result The ultimate desired result over time. Intermediate result A milestone along the way to that final result. Box  SEQ Box \* ARABIC 2. Miradi Adaptive Management Software Miradi, which means project in Swahili, is a software program under development that will help conservation project teams implement adaptive management processes. Based on the Conservation Measures Partnerhips  HYPERLINK "http://www.conservationmeasures.org/CMP/Library/CMP_Open_Standards_v1.0.pdf" Open Standards for the Practice of Conservation, Miradi guides conservation practitioners through a series of step-by-step interview wizards. As practitioners go through these steps, Miradi helps them to define their project scope and design conceptual models and spatial maps of their project site. The software also helps teams toprioritize threats, develop results chains, objectives and actions, and select monitoring indicators to assess the effectiveness of their strategies. Miradi is being developed by the  HYPERLINK "http://www.conservationmeasures.org/CMP/" \o "http://www.conservationmeasures.org/CMP/" Conservation Measures Partnership (CMP), a consortium of leading nature conservation organizations, and  HYPERLINK "outbind://18/~miradiweb/www.benetech.org" \o "outbind://18/~miradiweb/www.benetech.org" Benetech, a nonprofit technology development organization. Miradi is currently available in a beta version for testing at  HYPERLINK "http://www.Miradi.org" www.Miradi.org.  9:;<?HPR[_`afglmƾxjf[NJh?h5CJOJQJaJhwyKh`kmH sH h'jhUmHnHuh8h'mH sH h'h'CJOJQJaJ#hKh5CJ0OJQJ^JaJ0#hKh'5CJ0OJQJ^JaJ0h'mH sH hx:mH sH #hKhx:5CJ8OJQJ^JaJ8#hKh'5CJ8OJQJ^JaJ8hx:hx:CJ0aJ0hx: h8hZ:;<PQR[\]^_`bcdefghp#p#p#Yp#I=p#p#p#Yp#p#p#p#p#p#p#p#p#$a$gd]ggd`kgd>$a$gd'gdx:$a$gdK$ & F^a$gdx:  & F^gd'V[hijklvwK >  | | mRP`@p#gdK$a$gd]gmouvwx̺wfWf;wf+whrRhKCJOJQJaJ7jhrRhK>*B*CJOJQJUaJphhrRhKCJOJQJaJ hrRhK0JCJOJQJaJ)jhrRhK0JCJOJQJUaJ(hrRhKCJOJQJaJmHnHsH1jhrRhKCJOJQJUaJmHnHsH#hKhK5CJOJQJ^JaJhi5CJOJQJ^JaJ#hKhi5CJOJQJ^JaJ#hKhJ?5CJOJQJ^JaJ ) * + E F G H J K Ӿy]A7jwhrRh%a>*B*CJOJQJUaJph7jhrRhK>*B*CJOJQJUaJphhrRhKCJOJQJaJ hrRhK0JCJOJQJaJ/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ)jhrRhK0JCJOJQJUaJ7j}hrRh%a>*B*CJOJQJUaJphhrRhKCJOJQJaJK L M i j k l ϻϙkkI6$h<CJOJQJaJmHnHuBjqhrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu/hrRhK0JCJOJQJaJmHnHsH uBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHu    8 9 : ; = > ? @ \ ] ̶̶jjH5̶$h<CJOJQJaJmHnHuBjkhrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHuBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u] ^ _ ëÕs`H3)jhrRhK0JCJOJQJUaJ/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBjehrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu/hrRhK0JCJOJQJaJmHnHsH u4jhrRhK0JCJOJQJUaJmHnHuBjhrRhK>*B*CJOJQJUaJmHnHphu         2 3 4 5 Z [ \ v įv^B7jhrRhK>*B*CJOJQJUaJph/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ7j_hrRh%a>*B*CJOJQJUaJphhrRhKCJOJQJaJ)jhrRhK0JCJOJQJUaJ7jhrRhK>*B*CJOJQJUaJphhrRhKCJOJQJaJ hrRhK0JCJOJQJaJv w x y { | } ~  ΩxdxBx,,*hrRhKCJOJQJaJmHnHuBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHu/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ)jhrRhK0JCJOJQJUaJ7jYhrRh%a>*B*CJOJQJUaJph     ' ( ) * Z ðØÂnL4/hrRhK0JCJOJQJaJmHnHsH uBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBjShrRh%a>*B*CJOJQJUaJmHnHphu Z [ \ v w x y { | } ~ ϚςlXl6BjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBjMhrRh%a>*B*CJOJQJUaJmHnHphu4jhrRhK0JCJOJQJUaJmHnHu*hrRhKCJOJQJaJmHnHu     + , ѶєiS?S'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBjG hrRh%a>*B*CJOJQJUaJmHnHphu4jhrRhK0JCJOJQJUaJmHnHu*hrRhKCJOJQJaJmHnHu/hrRhK0JCJOJQJaJmHnHsH u , - . _ ` a { | } ~ í×ubJí6'hrRhKCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBjA hrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBj hrRhK>*B*CJOJQJUaJmHnHphu    ëÕs`H2+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBj; hrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu/hrRhK0JCJOJQJaJmHnHsH u4jhrRhK0JCJOJQJUaJmHnHuBj hrRhK>*B*CJOJQJUaJmHnHphu -./0KLMghijlmճՂ`M5/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBj5 hrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBj hrRhK>*B*CJOJQJUaJmHnHphu+hrRhK0JCJOJQJaJmHnHu'hrRhKCJOJQJaJmHnHu mnoٮٞꞂu]B4jhrRhK0JCJOJQJUaJmHnHu/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ7j/ hrRh%a>*B*CJOJQJUaJphhrRhKCJOJQJaJ7j hrRhK>*B*CJOJQJUaJphhrRhKCJOJQJaJ hrRhK0JCJOJQJaJ)jhrRhK0JCJOJQJUaJ012LMNOQRSTpq鳘邘`M5/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBj)hrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBj hrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHuqrs~íÄbO7/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBj#hrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu%hrR0JCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBjhrRhK>*B*CJOJQJUaJmHnHphu -./IJKMOPQٮٞꞂu]B4jhrRhK0JCJOJQJUaJmHnHu/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ7jhrRh%a>*B*CJOJQJUaJphhrRhKCJOJQJaJ7jhrRhK>*B*CJOJQJUaJphhrRhKCJOJQJaJ hrRhK0JCJOJQJaJ)jhrRhK0JCJOJQJUaJQRnopqst鳘kUU3BjhrRh%a>*B*CJOJQJUaJmHnHphu*hrRhKCJOJQJaJmHnHu)hrR0JCJOJQJaJmHnHsH u/hrRhK0JCJOJQJaJmHnHsH u4jhrRhK0JCJOJQJUaJmHnHuBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu =>?YҺҤnVAV++*hrRhKCJOJQJaJmHnHu)hrR0JCJOJQJaJmHnHsH u/hrRhK0JCJOJQJaJmHnHsH uBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u4jhrRhK0JCJOJQJUaJmHnHu$h<CJOJQJaJmHnHuYZ[]_`ab~ðØÂnL4/hrRhK0JCJOJQJaJmHnHsH uBjhrRhK>*B*CJOJQJUaJmHnHphu'hrRhKCJOJQJaJmHnHu+hrRhK0JCJOJQJaJmHnHu/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHu4jhrRhK0JCJOJQJUaJmHnHuBjhrRh%a>*B*CJOJQJUaJmHnHphu ҼlT?. hrRhK0JCJOJQJaJ)jhrRhK0JCJOJQJUaJ/hrRhKCJOJQJaJmHnHsH tH u$h<CJOJQJaJmHnHuBj hrRh%a>*B*CJOJQJUaJmHnHphu4jhrRhK0JCJOJQJUaJmHnHu*hrRhKCJOJQJaJmHnHu/hrRhK0JCJOJQJaJmHnHsH u)hrR0JCJOJQJaJmHnHsH u    9:;=?@ABįv^A1hiCJOJQJaJmHsH8jhrRhKCJOJQJUaJmHnHsHtHu/hrRhK5CJOJQJaJmHnHsH tH h<CJOJQJaJ7jhrRh%a>*B*CJOJQJUaJphhrRhKCJOJQJaJ)jhrRhK0JCJOJQJUaJ7jhrRhK>*B*CJOJQJUaJph hrRhK0JCJOJQJaJhrRhKCJOJQJaJ@BCDEFGHIJ./>? (p#p#p#p#p#p#p#p#p#p#p#p#p#p# p#p#p#p#p#$p#^gd^a+gdogdogd`kgd+lgd]gda[3gdqgdiBDEFJr e ,-.z{q[qJ hb'hPo0JCJOJQJaJ+jhb'hPoCJOJQJUaJjhPoCJOJQJUaJhPoCJOJQJaJhihq6CJOJQJaJha[3CJOJQJaJhrRCJOJQJaJhqCJOJQJaJhihqCJOJQJaJhrRCJOJQJaJmHsHha[3CJOJQJaJmHsHhqCJOJQJaJmHsH  =>?@   =>?㡓wwaPwDha[3CJOJQJaJ hb'hq0JCJOJQJaJ+jNhb'hqCJOJQJUaJhqCJOJQJaJjhqCJOJQJUaJjha[3UmHnHuh$#ChqCJOJQJaJh= CJOJQJaJ hb'hPo0JCJOJQJaJ+jihb'hPoCJOJQJUaJhPoCJOJQJaJjhPoCJOJQJUaJ-LVW   $޻޴|xh%jh%U hoCJh<CJmHnHuh>hQCJjh>hQCJUh>hoCJ h]%h`kha[3mH sH h mH sH heh8hph+lmH sH h+lmH sH heTh+lmH sH h+l h`khohHS-$%&'()@FG[pu$,;  ƾƶƦ}umueuƶuuah9^hmH sH h-EmH sH hP"mH sH h+lmH sH hph+lmH sH h'hJ?mH sH h'h-EmH sH hwyKmH sH h`kmH sH hJ?mH sH h?mH sH hZmH sH  h8h2\ h8hP"h^ahojh%Ujh(\UjJ h%UV ()G  ; < ##%r%%%u'v'))** *p#p#p#p# p#p#p#$p# p#p#p#p#$p#Yp#p#p#p#p#p#$p#?-p#xgd+xgd-Egd+gd:?gd{_gd-E8^8gdVU+$a$gdVUgd>gdJ?gdgd(\  ! " # ; < = !!"""##%#&#'#+#,#L#V#`#######$%%ƶuuuuuqj_[hh{_h{_mH sH  h{_h{_h{_h4KhmH sH hmH sH h+lmH sH h4Kh+lmH sH h8h9^mH sH h9^mH sH hP"mH sH jh:?UmHnHsH uh&hP"mH sH h<CJmHnHujh>hP"CJUh>hP"CJjh+lUmHnHu#%% %% %!%"%q%r%s%%%%%%v'((6)))))))))))****ʿίtkttbZS h4Kh4Kj<h$;Uh>hgKBCJh>hQCJjh>hQCJUh>h4KCJ hmh-E hmhhh4KhmH sH hmH sH h0mH sH j(h0Uj3J h0UVh0jh0Uh0h:?CJh<CJmHnHujhh:?CJUhh:?CJ * *$*9*:****,$,,,,--0-|-}-.......8////000000111B1C1112 2(2ļĴשߒ~vh#mH sH h#h#6hsoh8h#hIeh%h.mH sH h%mH sH hjwh%mH sH hHSmH sH hwyKmH sH h'h'mH sH hHShh.hrRh9^h'h-EmH sH  h'h' h'h-Eh{_, *:*}-~-...0004447686R8T8c99;;"<p# p#p#p#p#p#p#p#p# p#p#p#p#p#p#p#p#p#p#p#p#$+gdgdoGhgdgdQUgdjgdso]gdrRgdgd'xgd(272;2@2B2H222334 4$44444444444455 5755555555565686~7778Q8R8S8T89&929b9c9h9h>hQUjhIzhrRUhi8 hVUhj hjhjhhIzh9hjhsoh*1h vh h&hIhqhvh%hbsmH sH h#mH sH hIemH sH h8mH sH 4h9i9k9l9w9y9z999999999999999994:W:b:q:::r;;;;;;;;;;;;; <!<"<ƾzqh>hCJh>h>CJh>hKCJh<CJmHnHuh>hQCJjh>hQCJUh>hCJhh4KhhV h<h-h<h-aJ hQUaJh hIzh3Ye hIzhh> hIzhQ hIzhj,"<#<<<=<><?<@<E<F<H<I<N<V<W<c<d<k<l<o<<<<<O?W???7@>@N@W@Y@_@a@c@d@f@@@AAAABB CACCCCļ̴̴̄hmH sH hbmH sH hoGmH sH h^mH sH hmH sH h3YemH sH hmH sH hVmH sH hQUmH sH h>mH sH hjThDU%jJ hDCJUVaJmH sH hjhU1"<@<q<d@g@-E.EEEE&FFFnGG HJJJKp#@p# p#p#p#p#p#$p#p#p#p#$p#$p#$p#$p#$p#p#p#$p#gd\+gd~gd^K & Fdgd& & Fdxgd&dgd hgd+gdPeygd>gd$gd>  gdCD DD D-DqDDDD+E,E-E.E5E6ELEMENEOEREqEEEEEEEEEEöÙ~kc\Th>mH sH  hDhjshDU%jJ hDCJUVaJmH sH h cjh cU hCJh>hCJh>hgyCJh<CJmHnHuh>hQCJjh>hQCJUh>hPeyCJh 'h^mH sH h 'mH sH hdmH sH h]%mH sH hmH sH hmH sH EEEEEEEEEEEEEEEEEEEEEEEE&F'F6F8FFFFFFFFFFFFGGMGmGnGGGGGGGH H|HHHǿ̴̴̴̴̴蛏h1(/mH nHsH tHhvmH sH h&5mH sH h&mH sH h3h&mH sH h3h&5 h&5h&hmH sH h*kmH sH h3YemH sH hMmmH sH hwyKmH sH hQUmH sH 6HHHHH\IeIJJJJJJJJJJJJJKKKKK!K"KϷ{rjfSKjGChQUh>jhDU%jJ hDCJUVaJmH sH h cjh cUh>h oCJ h8CJh<CJmHnHuh>hQCJjh>hQCJUh>h~CJh ARmH nHsH tHh^KmH nHsH tHhmH nHsH tHh omH nHsH tHh1(/6mH nHsH tHh1(/mH nHsH tHh M6mH nHsH tHKKNKOOXOvOwOQQQ"R^RR\SSSTTUUUp#p# p#p#p#$p#p#p#p#p#p#$p#$p#$p#$p#$p#$p#p#p#p#p#$ x^gd8 x^gd`gd`dgd7^D & F dxgd8gdo+gdogd\gd>gd>"K#K$K%K,KDKMKLLMMMMMNNOO O O O!O"O#OEOXOYOrOsOtOuOvO¹yujbyY *homH sH jhDUjJ hDUVhDjhDUh>hCJmH sH h<CJmHnHsH uh>hoCJmH sH !jh>hoCJUmH sH h>hoCJh8h ARmH sH h8homH sH h*kmH sH h`mH sH homH sH hoh`h>h]%vOwOQQQQQQQQR R"R.R/R0R^RiRjRRRRR\SfSgSSSSTT TTTUUUUUUUUxphQUmH sH jhQUUmH sH h7^DmH sH  h`\ho2 h`mH sH h`h`5mH sH h8h`mH sH h`mH sH  h7^D\h7^D hTh7^D j-hTh7^DhTh7^D6]hTh7^D5\ hjh`h`hohomHsH)UUUV V V VVVVVWVXVWWWWXXXXXXXXXXXXXXXļzqh[h[Ph<CJmHnHujh`hACJUh`hACJh [hSz0JjGhSzUhSzjhSzUhhAh`h&Rho2 h7^DmH sH h&RmH sH h]%mH sH h`mH sH h7^DmH sH hQUmH sH h [hQU0JmH sH jhQUUmH sH #jbh [hQUUmH sH U VXVXXY9YUYY)[[R\]]]^^`ap#p#p#p#p#$p#p#p#p#$ p#xp#n p#$p#p#p#p#p#$+gdQzhgd8gdvgdgd8 dgdD & F hx^hgdFgd`$gd*$gd27+gdA*$gd&Rhgdgd\XXXYY5Y6Y7Y8Y9Y?YAYBYUYYYYYYY Z!Z"Z$ZZ[)[.[/[0[;[[[[[[[[[[\\"\;\A\R\ص~vv~v~~~~~~hDumH sH h`mH sH hFmH sH h`hF5mH sH hF hm hh) h #hh`hn j,hDU%jEJ hDCJUVaJmH sH hDjhDUh`hACJh`hCJjh`hACJU-R\S\\\\\\]}]]]]]=^^^^^_````````aa2a3a4a5a6akažź|tmahh6CJaJ hhjhDUjJ hDUVhDjhDU hDuCJh<CJmHnHujhDuhQzCJUhDuhQzCJhQz hDuhDuhDuhN hN hN hXh8h hm hh) 'jh`h #5UmHnHsH u"a6alaadde8eqereeeTfUfVfff5g[i\i+l,llp#o$p#p#p#p#p#$p#p#p#p#p#$p#$p#p#p#p#p#p#p#p#p#p#$+gd\gd.$gd8gd>+gdv9gd11+gd! qgdDuhgd8gdvgdkalaaaa*b?bccccdddddddddddee4e5e6e7e8eHeleqereeeeeeʽʽʤ߁xtplhdhhhv9hhFh11h116CJaJhh116CJaJjhArUjJ h 8qUVh 8qjh 8qU hDuCJh<CJmHnHujhDuh! qCJUhDuh! qCJhShI,th}h! qh ARhQzhN hDuhhQz6CJaJ%eeeeef f f fTfUfVffffffffg g/g4g5gGgg h.hghshwh}hhii*mH sH h*khc1mH sH h*khUAmH sH h*kh8mH sH h*kh|mH sH h?mHnHuh?hi6mHnHu"h?h?6CJaJmHnHujh;Uj;h;UjaJ h;UV*wxxxxxxxxxxyyy8y9y:y;yhiCJUh>hiCJ hAThij0hiUh{hi0Jj/hiUhijhiU!hi6CJOJQJaJmH sH 'h'hi6CJOJQJaJmH sH h]ghi5CJOJQJaJ Ighi֌>?]^ݎ$O6`#`#v:`#v:`#`#v:`#v:dgd:?l6dgd:?xgd:? gd8+gd6O=gde38^8gd['$a$gdidefgijՌ֌?@YZ[\䳜q^VRG?Vjh^aUjJ h^aUVh^ajh^aU$hwyKh:?CJOJQJaJmH sH +hc1h:?5CJOJQJ^JaJmH sH (h<5CJOJQJ^JaJmHnHu,jhc1h:?5CJOJQJU^JaJ#hc1h:?5CJOJQJ^JaJjzhFpUj sJ hiCJUVaJjhiUhi h*hijhZUj1h cU\]ݎ EPWȏҏ؏LRΐWcґӑԑՑڑۑܑ޺ʮޞޓzvd#hc1hi5CJOJQJ^JaJhi hRJh:?h:?mH sH h:?aJmH sH h\;h:?mH sH hwyKh:?5CJOJQJaJh:?CJOJQJaJh:?CJOJQJaJmH sH 'hwyKh:?5CJOJQJaJmH sH $hwyKh:?CJOJQJaJmH sH hwyKh:?CJOJQJaJ#ݎPҏ`#=`#a & F hdxEƀf^gd:?l6\a & F hdxEƀf^gd:?l6ҏL`#[=`#[a & F hdxEƀf^gd:?l6\a & F hdxEƀf^gd:?l6\LϐАW`#`#v:`#v:5`#[a & F h#dxEƀf^#gd:?l6dgd:?a & F hdxEƀf^gd:?l6ӑԑՑ֑בّؑڑۑܑȖɖA`#[`#`#`#`#`#`#`#`#$ $$y$C$gdgdgdc1gd:?l6\gd:?a & F h#dxEƀf^#gd:?l6-GNOPVWױy_K66)jh #hiCJOJQJU^JaJ'h #hi0J6CJOJQJ^JaJ2j#h #hi6CJOJQJU^JaJ#h #hi6CJOJQJ^JaJ,jh #hi6CJOJQJU^JaJh #hiCJOJQJaJ h #hiCJOJQJ^JaJ(h<5CJOJQJ^JaJmHnHu#hc1hi5CJOJQJ^JaJ,jhc1hi5CJOJQJU^JaJݕޕ%& ,-.<=ABZ[\ǯǫ hm hSh>shPhi/j,h #hiCJOJQJU^JaJ h #hiCJOJQJ^JaJ)jh #hiCJOJQJU^JaJ$h #hi0JCJOJQJ^JaJABCDEFGHIJKLMNOPQRSTUVWXYZ[\p#gd# C 0 00&P1hP/R :pHS/ =!0"0#$%C 0 00&P1hP/R :pHS/ =!0"0#$%n 1,,Ȭk3xPNG  IHDRz,%;YsRGB TIDATx^Mh5Uh\`b7b0RciP]B ڢ.nbj܍PU1q5B#~,z} C?sׯ_O4Ν;ü|xmmm%e˖wF`̙oߞ̿%Kkj,/}] mGYF>elmW  Nvڊ+\<[z yVݭo756Ҽq,q뻛ᄅihsT+Á[7n?|j.,XfȠvW7k/kkku)ʬV C?@ٳgӡzUkW /]l$K,]ۦ7F1p@ 7˃pa<5a;`͛=zklSbw̚5 R Ev]m}C֤U9=|4itXA,h ogWg6.Hu >NCݝlT%@Ȩ/^̬G#'NFtuaOACm@vڻ;ڂ&㰑q4,I'iPa'O;w.)a(5?~yc],Qc,t!akr 1nŭ`%G ^.'{NXcP舰G/'O*u7Q I{@%~,T=k@֭[YȈݍJDWUH?uOO AE*(1@c^3OSu Iij&;kx ۈ(Đ$ab'6j@9r BM */-c8 AD[΢xH?пtCgFszB;%,ܨT(61ڴЮE L-مxLasfl#sV8oذg1O 94old#Gb׺Mnp]:2VSlJtgF6H%7"j,1=E )D$ɉ1} 6' `… {AI61˙R8"(/ H1|B/`@> _dC-WP#m=+B6 Y$=ݺ Hx/㉢ҡ*.-%YZ؀ApХ!shVy{+nE7#XrhFTjMj@7i*sSE n[M-Lʾ/~̺#R& Z8􀘵 5Ŧ&{$;[”KQ wD&P(حZUU~L 3HS6"c% TgdvdoJE %QCq+wܩ,ų8F ٵ"%y7{+x@^ #c5дmb2_@D wv5&5482Q c*Lx "b1W?yhPNSkD-bR& ]&L;O 1sjW2r8t5dSMgDcʽXƦƐNd82<|-uAfjT) Y"dߍ[Eg*^ \j@ԓ/5moim^rE պP:ԆnvQ~TX[w,m)_eBTekI?1s{QhZ1RCXA]eT ֮֫HIf#:"^:/"01*ʬΣQ]/)˕Ggt{/]ed%{gn.v ̊V nyX?$/DՌrC@/|2=Vu -AO#;U6~^3:DHyT8%,)17y b݆;tDeIA>tbOCGGoWW5c C3g1=#b-`&rɐgGh]<̎<#naCFG2fE;O &,yጣ#n߾] brIj 0mmme7.vܕ+WOy/01sCg}WH6mڲ;OԩSPD/ZU@r:K[M> 5>"w ]Ȁ5g8宒woA)^qzˣ0b +OSo9"u%Árx[_K" U Wq[] 7Uԃ1AMSsCYgvO*]UTJxr:R=%%w4nF\@)! u1Î/:r^4cmHH/gYpKݸH.Sd}d87uT_z,26>Uj4SQM>Dw?so] 5/g. ުdH_DI XN?Ě$4J"5aJEZ?CBpS H]Lpǟ cEAf?L?ez*dTj)nFٚ>m4SZG6FSUŒz(W})vx ih$9($M?05V ϩ~YT$T=¹**0颣9')-D3hk )W Nq&a w*G|H"Tbn=) <M>]O_ƹ.: yR2U<|礎cip|Bf+a4+݌ʟdpw+RpqʜG}iKUX#^XPO7'RPRDmP#='pHԏ)"EN22!HbAL4XJ*5?ɛ윸Vl]͵OJlwkR Οh"1sx7Wa9e˖? Fb-9ABEpP2/64 bgl{ίHolL|8*)͕bIENDB`@=pt_ C)~U}|s<'O> >xY{lSe?֥nVc+SHD 8#kz MT@0cD'D*Xs9I?=AweKD{`F̣ - k9P[Si:Z+<>5Z8kV)H՗SCFOh|cX L\R\犄iZ(~b/2gH_g{w`0ߏjL\'Ə\r52l] HnԱmw4fFo7(w Fǝ϶Eb[\kezT>fuAc 2.*_|N\86WJc cI*QBi1P-9G* >Riq~w'N>Bn TUǀm(.x].>W!mGǪ!.PyvlK=Y?.3t7ӗ_n 't ީZs?ѩf{z0=ZDD\SKX `^p Cև0M_,P+go/RüiaQ(r]'|`pn1>gW'KX r\ IrK^ _#XZZtt:;y{~ڍQy~{Օlu)Ï7: YǬ%=bT4(MD% ~34G}?MKS0X`Xs+CՄu^owk6:&<)W5զŅ'Tµ#UjxWd| !{ZxoVa}:lORTƣSS)'Xir(8IՉsgOg|3l,@N^U]CtUe\ G=E_T/JkGYVrӵDIoV)e,np3o)=f7X}L+yC_wVBQ2segẇzOEDsE\AucPઃq$I\eĸ7;m!(q+$Pba)S}&G$V|4ۍ,6R;d=sJeVC^2{l ?dԼkQw=E.M=qm=Lp4$9M8zĻᾞs,9sP`%3JZͰ7 sMEy} Kz>LE5+x,o`(8Iiڝ`m&6q"mߥVN+Z:(M{C)X94?ЌY{aw)fޤt8o[F!n4d*[ybdmy.XֈxcK131wH n#޻86wz~ۛ;yd1ϖ8 At]6͛7+<ΝYԅN)(̂ߐ E)*b*R% wuU)x0kdXŰ70p4qLdL;p1 Ǹ _Zb8fid8ciϝV\xF3J뗃uq/ wQGc6B3x<(9V߯#pN3pu$P S“,*8luțme78dxj>+a76tքM<'G*ד<>)ȊJH[ٚH?iљ\PiȬ=u 7-ɻ\o]9v;}jQy@O *2sU^⢼vPkeM5JEf}_@NO?7֔ >ȴ ~ΓU S:(}؟rt)u_7ajxyۇ\gn$x;?聑cVp7s䯭D;o#wɪyU6] =]nWCku5tEpհso|A!19[rr*!]dBy¹*s)RUF9fNN>vu򱃋|l+Qt;Ӯwʛzgx˰~ZDDu@*&$?dyF@ڧJħ3Z#Y^H۷#da,c9qNu*{^䁻2!19}Wݲu7׋R{q{gHJVeb$n%yimH`Ma9(mϹ3jM¹| .ϨQv3ޤ.;wM4Su.q~IFb4%ru M^CrķĖ GF/#_ilNl8B6R961xIGcu4n.[{Ӌ&y}e"ګ GY]QFUKp|q TN"ys#5fH}6b|@{//'3ﭕ?F}59|ϿWΐ>/OϘ0M9ڃg2 ^h ώR؈(}*+-An'|O~#5* YxɹynROs&Wca u@+|HRM${m/\&`($;Zi{3 Llً}KM,ւ&2OŽi ޷77ۖhb<ׯ=%ۡx11]@{J$UGv=L\Tup\,җNa{jK.>tVYQt*#8ƽ/՟I.h|{KYis&;ʵJK(k@:t|PETٵI rqy[rkݫNeK^<9kXuMEc ř][9vϭӍ/gڃ:M^7 V ҧv+Kȸ`Mfj"׶-lqy3ҦC;ƪ5Y~8f3-/qq|oFjD'r8*otIlc'r\tqî+ ߨ';`O_W6z ~Nk|&J/a~.ڋnFEGDkdʋM2w\z @:/:xE}A{"w\iJheT]Z8}H':O|2Fn;:\`$8 >UҶ ތKe3v8#]:r}*[&U6*$k=H>z5y=w gwgM_$w0&ب@Z<٨ J`j4_`$i}蠤áopn>vŔ̇h %u@/)e1g T@|'}se36Q1; e"s}_bWI];bYHe$;N| 2Ҷ.Ry)kE>[lq@؁{w?w/nm2ݻӃo&CUcpJ P8KJ_^Tv"H>yN~V-.JL`|VF]&HӽWպ)nWA~XdyYF߰ɰn8 밁.y<> {yvXXu k :S=5D1mN:#&PY{:T{ЪaaaZX+jvI}*Z? wIߠgVт5a-: o'Ygc$bUP'~|i"K!U9JfE'?G{'s}#DG n74NkMQcvy9:~bWZ2E؆߈%o!*_ hC<TCڳE2}_ | u^`ttߝ~b_\.ҦrĖr瑙|I^U3dĦXY))#C87Mp=:HWqۅv]sUE7+^5w#5<lT4bߠV%yUc]ݎ y/Uc;rNW3h'(U<*%u'_/y\u4gz7zDj%vWoÍ) l#ĭo"Y}?#m>/8 E-d=mL: <+j@I/v"p혺<ݭ+mފvPbz!?i-ͷ?KZqZST Y9\o@䩌~l3'x_wBRlnHQ*F񪹮ꋖЍk!-[ 1-h!muJϖ++Qxl|Ӊưy\#/.|Z^ M m8Ȑ&eF'9B_NCIu=`|@8):<!A~=8H7}O+ ۯHjo I]B#/;ntq?Nk!N\܁guI)NGN k.=9E9? w&O@lgDXi"J HH>G'NE p',S1{ 7}=?x겣=-  `?mv%tR#cV-=#}DBObO{kqvU^uh5؃t}iSoSg]YSgtp:oܭ?=F12K $eʞTJ$yW$;F U~VbĖ(yv*(+y^&zBv9OؾULo|6R';e!?)/7C>=c9VZK^Žе kSMcrKDY,F';b_8RzpH(W?Ev+cBnq`bVkrKV]}͕ \@o=g-Lܳ s-NR;G3x<0x#Sl==l=s;N*-гuMt%7a/]wi <[e Z9n>Ͽ}SX"o Uc$TvO#9h;s 4H3JLj!q>]a_Xil*<ۂjK~? ]ɋY.Owkbf;[bO͕F#َCH,+?iQd}uT8 =&niva}0uJQ>UbKʠI~HC$4X]qHefLbHA/O; ݥy~2M*m; ;u~Nj춼Sn!~ q@Y8 x@$uW8H}]ܝ?s͵;v*;.9r,qܩ͞͹,],ap-=t+zT8xހ{̹q۪Ol8xj% du[oCB*udZ{ { `:)KCޖ8c)_*_ Bp i iH[H%QFkt>׻AIu*C;pRhmuoX.C:gwf-xa T6R璼#;Lg?!Ό'El"mRyg|,7Gؙove|Ë\yiWOぷ{z޺YמK []ʾ%)zg[@m[)# id:}5`/Bݭ.s+w?DU˕6mBfL[d=s?V5㑥'_&w8l9\\GM;,s;Q5&YK}<"7-1G'},bWGϏꬫm/Fmֈ 采^ /{6 /hR2)vlhv܎Im| HJk[yyy ɓ"~\>ZQVӰG/|W ֳ:!ky I u-qq4[0ڲ?a%K;5Ž|6(}^m$պ?=? {on6ǓïôtR$1&}qaxL7V\c'l2nݸ\1М.c1{g0v<[O1oډ>w+pmXrdOD+/o&OM8 /&NdO@lTO)|P߽TG2=or "nq֕me^en]0Xd$%gT瓼D^@7VrY$2KÓ$ ܊?I'|u9? k;3=ثr9Gk}o绨v]n}a ͔Xv݀T{OD>i qR,JwQ8٩.;oWVڢ;=rt6HeUHΪl\?ɼuSoUap~V+lɜpAA$o L_Ώy/u~}8Hz/m.fUu^?lNcnD!ow"cybx|C5z?XyT^!O{!@uZz򛠧\(/tԢNG}btd}+:lNuقnKүSXH 9!4Jԭfߒw׉m:aH{h$;BZQxlbdat|g>[ڏ!#we]1yOvO>Hl%I0ɎC|c? Ҟì_?iO<\ lO{kГp}nSW8κN aya/6̗vtoҋ뙯)ɔKUş~T~Ar +CڌUʮ:HL  )zsNea{WyP0߳rU^c_ۃsQyITӴ)/vDn*sO<0[qQLNuͬZڀݑa-!+;jP}Bo8b۠iY@o+/v (➿E^S*@3~^8$e%rBI1=ny\16x1}os˜6Ƨd.O۴1m!m^݀hHj]Ri wEwdd3˔/COsǜr֦RsTI{N9 ѐW{̾CҋդŘ ,e[S~qT 32NpӍB'Gc@E~ǯoCzWas_A[oRZDFFd˷ψZc#k@x|hf\gC;1Ռ ·Kl/>n: dNy^RǼcoFZveEF"wix_u*M#E(9Orh5!H;t o؞X.;:D:}xX ^GuM/}sO1a?F8F.Ou,1#8]kхKc!}$e IY*A$'[?* wHp]_ |JQV5%d1u"GdV-4R:i_0uoN툉]鸳9/G ȬFӑGI!\XJx}b ;KB|~q"1zV'#"Lb9$6^&هsu0[EG㽒ҥ.#k!箌ڪnwb|q_o!5}uKxox\\ss1= ӣs'dA^ c{eL9]g`fTt }ǘQhNu$20fFܕsGErt1*^(˔8 z-?|oJ.s^ ?CCht1x^`~s3Z)f??yn^i]阏uZ}Wyn9CׄdU2t}?3tv}LO?kv}[c4nJu1F/}=FЯ=Tg<@N:]3 sXpF!F%6/ דf )I>dE ĶV:Nߊ8}o6;XQ[&E/)ς<ܸow]oUwJ{^K |WRlf䯿Ff_dm#meb.ųM]n< fÝݾ>>[w?+k[*l'$>A [UFڲ ]kpx2.yS +Ovۛ We5Fc?-#ўiOi[J+ zL!w-H =o w/,/l_  YoT -W⿿\yyB}~:֙g´0opD>4?Pr̞)'eܠvYG聴Ė\ߠo_AHwo Ȼ0q,Ea4Cޟ'TFdOrޘq >6PnϻXYgx/:SxPwv{7N5@,0(Ĥ S9׺R] a_XP#~a#_ s@*.sd/䋲 ^f~ʯ@'$vw5XTn!i@UA'܇dMH[h}.5?H?.@͓>~y2p7ލ7F͵/ZŊ!R$U 9lRѯ#I)Vߎ#N zoH۞&||1PtS;Fhexߺ^]nXӆلXm>R ɹ_'~hE%qHWL ~@{h(g)J/z&ezs4s3{|!!D߮*ᾜӢW%D/20Y}DyK _Toc168160118}DyK _Toc168160118}DyK _Toc168160119}DyK _Toc168160119}DyK _Toc168160120}DyK _Toc168160120}DyK _Toc168160121}DyK _Toc168160121}DyK _Toc168160122}DyK _Toc168160122}DyK _Toc168160123}DyK _Toc168160123}DyK _Toc168160124}DyK _Toc168160124}DyK _Toc168160125}DyK _Toc168160125}DyK _Toc168160126}DyK _Toc168160126}DyK _Toc168160127}DyK _Toc168160127}DyK _Toc168160128}DyK _Toc168160128}DyK _Toc168160129}DyK _Toc168160129}DyK _Toc168160130}DyK _Toc168160130}DyK _Toc168160131}DyK _Toc168160131}DyK _Toc168160132}DyK _Toc168160132}DyK _Toc168160133}DyK _Toc168160133}DyK _Toc168160134}DyK _Toc168160134}DyK _Toc168160135}DyK _Toc168160135}DyK _Toc168160136}DyK _Toc168160136}DyK _Toc168160137}DyK _Toc168160137}DyK _Toc168160138}DyK _Toc168160138DyK info@FOSonline.orgyK Lmailto:info@FOSonline.orgyX;H,]ą'cDyK www.FOSonline.orgyK Lhttp://www.fosonline.org/yX;H,]ą'cUDyK 2http://creativecommons.org/licenses/by-nc-sa/3.0/yK |http://creativecommons.org/licenses/by-nc-sa/3.0/yX;H,]ą'cmDd 1 0  #  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~!./Root Entry Fo/iData WordDocumentzObjectPool o/_1242030209F  Ole EPRINTACompObjs  !"#$%(,-./12345678;?@ABDEFGHIJKNRSTUWXYZ[\]^aefghjklmnopqtxyz{}~ FMicrosoft Visio DrawingVisio 11.0 ShapesVisio.Drawing.119q Oh+'0 X`lx Marcia B. BrownlQgo EMFA@F, EMF+@``F(EMF+0@?@ @ @@CCC`DCC4DCCDi@CD=CD=CD=CD=CD33BDB4D33B`D33BC33BC33BCBC33BC=CCi@CCCCCCC@!b $$=='̙%  ;2 6$2 X4 %2 8% 8% 8% 8% 8% 68%X(8%] %2$262X(c28]868 X(8 c2 2 =<>cT % $$AAF`TEMF+@@4?@$$==_888% % ;2 6$2 X4 %2 8% 8% 8% 8% 8% 68%X(8%] %2$262X(c28]868 X(8 c2 2 =<@aV% % $$AA( FEMF+*@$BBC33B@0$ۀ>ARIAL6@|pOutcome,=w>>w>?w>p?w>G?w>v?w>Ҟ?w>??   RpArial5`|x5Ow0.T4``w|x5hm|OwPw! 5l+2|++xID |8|2|||8H6 `woq+Nw>Pwodv% TxuKAAL\Outcome % FEMF++@ *@$BBC33B@0$G>ARIAL6@@4(="B???   ( RpArialArial 5`|x5Ow0.2||p|m|Z|m| cx$ 0w|8Hh+|p|m|-wx$r!|-w 0w cdv% TTAALP(% FEMF++@ *@$BBC33B6@ Direct Threat@>"B?7>"B?U>"B?|>"B?@m ?"B?P$?"B?@%2?"B???"B?a^?"B?z?"B? R?"B?)?"B? ?"B???   % T=AA LhDirect Threat    % FtEMF++@ *@$BBC33B6@@4)`?"B???   % TTAEAAALP)% FEMF++@ @qCCCCCC'hCCCCi@CC=CC=CC=CC=CC33BCB(hC33BC33BqC33B/nC33BkCBkC33BkC=CkCi@C/nCCCqCCC@( $$=='%  ;2 6X2 X42      6X(]2X262X(2]6 X( 2 2 =<>c| % $$AAF`TEMF+@@4?@$$==_888% % ;2 6X2 X42      6X(]2X262X(2]6 X( 2 2 =<@a~% % $$AA( FEMF+*@$BBkC33B@0$ۀ>ARIAL6@|pOutcome,=?>???p??G??v??Ҟ????   ( RpArialArial Arial2||p|m|Z|m| dx$ 0w|8Hh+|p|m|-wx$r!|-w 0w ddv% TxsAAL\Outcome % F@4EMF++@ @A33B&C33B(C33B+CɡB ,C B AC"WBAC``PBACllHB ACAB ,CU@+CI@(ClfF@&CkfF@&CffF@AffF@tAjfF@AI@AU@AU@n@AB8@llHB8@``PBn@"WBn@"WBA BAȡBqA33BA33B@( $$=='%  ;26k 2X( 2  6 ]X( B " 6 gX( G 2k 2Y$k 22X(2GgY$g<X(/"/B<]Y$<]X(22=<>d % $$AAF`TEMF+@@4?@$$==_888% % ;26k 2X( 2  6 ]X( B " 6 gX( G 2k 2Y$k 22X(2GgY$g<X(/"/B<]Y$<]X(22=<@e% % $$AA( FEMF+*@$BBf"AffF@6@xStrategyk>? >?u>?@%??=??OU??b?? ????   % T|' CAA'=L\Strategy  % FEMF++@ @@4@@XLB33BB CBiC'BCBCBCR8OCC@$$==_888C% % ;'26'X(' R2 2 Y$2 2 <@_`% % $$AA( F\PEMF+@<0.KCCkCC.KCB#C.KCC@( $$=='%  % V, 02 5 0%  % $$AAFEMF+@@4@@, DCDC@$$==_888C% % W$P8%2 '2 % % $$AA( F\PEMF+@<0DCv&DCDB#CDC@$$==%  % V,z'0)2 '5 '0%  % $$AAFEMF+@@4@@, CC)CC@$$==_888C% % W$x2 t2 % % $$AA( F\PEMF+@<0 CCCC CB#C CC@$$==%  % V,3082 35 30%  % $$AAFEMF+@W;~CZCCZCŶCZCCcWCCTCCTCCTCCTCCBCC]?CŶCq % $$AAFEMF+*@$BBW;xCARIAL6@ Objective=l>p>l>>l>0>l>0?l>A?l>W?l>h?l>??   ( RpArialArial Aria|w X|w2||p|m|Z|m| ex$ 0w|8Hh+|p|m|-wx$r!|-w 0w edv% TiAA L`Objective  % FEMF++@ @CZC֎DZCbDZCDcWCDTCDTCDTCDTCDBCD]?CbDI % $$AAFEMF+*@$BBCp>l>>l>0>l>0?l>A?l>W?l>h?l>??   % TAAA L`Objective  % FEMF++@ @v&DCv&DBL0D53BuC=D43BID03BuSDBvSDCvSDCvSDCvSDCvSD<4CIDOCvC=DOCN0DOCw&D<4Cv&DC@( $$=='%  ;U\)2 ) 6,rQ/rm2r4 42 42 42 42 4D m2 Q/ 6, )D )2 <>WP % $$AAF`TEMF+@@4 ף>@$$==_888% % U\VQ)2 ) 6,rQ/rm2r4 42 42 42 42 4D m2 Q/ 6, )D )2 % % $$AA( FEMF+*@$BBv)D33B@0$r>ARIAL6@ Impact on 6>>$p>>d>>(?>4T?>P{?>?>c?>@$?>?>??   ( RpArialArial Arial2||p|m|Z|m| fx$ 0w|8Hh+|p|m|-wx$r!|-w 0w fdv% To4AA L`Impact on % FEMF++@ *@$BBv)D33B6@pdTarget>fR??fR?K % $$AAF`TEMF+@@4 ף>@$$==_888% % ;-r61rX41r1G111161 X(1 1 1 6- X(, , , 6,X(,G,r-r=<@ % % $$AA( FEMF+*@$BBB2DIC@0$>ARIAL6@\PGoal#>l>P>l>?l>X%?l>??   ( RpArialArial Arial2||p|m|Z|m| gx$ 0w|p8Hh+|p|m|-wx$r!|-w 0w gdv% TdAALTGoal % FEMF++@ LdPO)??" FEMF+@ ObjInfo VisioDocumentuVisioInformation" SummaryInformation(        !"#$%&'()*+,-0]23456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\`abcdefghijklmnopqrstuvwxyz{|}~Visio (TM) Drawing uOVtaRx|p|m||Px AB`1tCp !fffMMM333 U J:DT5I[1hXT@. .Ub##/a0zGGz?K&[&/~&b%*~ !oL $c)PF?#~~,, & "& , 4&?Cp"/.?L74? T0A  }, ,,'p/%O6$X6 (}j?k)?"   34#o =S?#A:;A;dUdU@;dUdUdUAONOD`;dUdUdUdUdUdUdUUb SR~;4OL%=Qip;RRRggRph=Qji .@]E' @%p3~|bFp#*| | | ui?Pb~OO:e,_/"/`LC%C%HD[CTY///////??(?OL?^?R_obe@iX_;-0GE(/6*___\q1彜42qp?v?o?Qv4||w Uo;_M_0/B&HDKAz)7I[m]Jd 2b(#jtb8oJo\onoog?pXWbw6ӀC🖶x݈7@1y"̠Ʀ̤M(JO\OrHx? ݈lCyj%Ărrq 0^ĉR>:Y;/ M/_/Z/=㠮ҖU3dO贁Nk&O5l>ft&k+g~+=Oavɵ!伒W澿3vψbtq___ ,1CrqZ[k}ߏ@ΟUֲe{iηvyaKU5 ȽqiBOvqώ_'KZ߯/>P  <N`(j~??{sIF 03B󫷬spC 6: /T6D UA@ ?-I?3P?T'- bgbK66ȅH? ?w0 e^ %hUT#u B? "  U^pksVk`YdlĆ{ppjp_WOThis ymbolrep s nUtmdfWcainUu+haeN0ngCwUt?,o Sdi-lzS r:uQe. H D    3Ahj,>T]]9 mAU@@ ?@^??P6 J u` n?7utBCWbqz zeLA! >B BMJ}\U2q8 #?7/I&M?DCmA41# ?>br*7TK> T88>UhjAA]D20P@2Jg*?%$ Q S] RM(I*PY7rAj^23$Q56*Z S $23?IU/] ZVS293[flkOP}nToT:*0g EoWj UQ2B_T\A\RSC(U1ePvBpP@OI @7hej !k}DqT(beOo L 2A}T 2M#oǏٌ:i%AJ-3;%sAz50HmdTAbP=&1#r$Wvi!w<恦!$s"N#SVAWD3xCT cMqv\Q\Q2J\j51ށ @`As&@qcC,EX@t|B &@hx@ cʹ P@s<@oriPBA w @(;A @ryAsCt ȣ`S $@N,M.@0E%=ųDuNJqKC ߿ @ @fбq5̉5vψ2` RxBo-qC: X@ubÚAAlwAqivBt@Bm(tkC  2DVAFXSJw\?mt+lc`%D@uϲ rA}ASAa\Rb 5`%mZI#C L @n&) pAAPP@gx@qq>EAS` /@IAsTdU1y5 IEeD†eqqFEmb??6iߝ68?j#4 _ Q);M_>m w =_Hu+Bg  F _G #]! B HD]a@M@jGQP+ Q&3aTEUYpUFDfP h$T PYYBmUA@ ?I?3P?,|O@DVVs2BH? ?0{eP^  I#u P(:{W_qRectangl. wUihtxu dcouni' p'its