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Results Based Public Management: Tools for the Design and Implementation of Public Rural Development Programs with a Project Cycle Approach

Module 2: Design









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    Provision of scientific advice for the purpose of the implementation of the EUPOA sharks. Final Report. European Commission, Studies for Carrying out the Common Fisheries Policy (MARE/2010/11 - LOT 2) 2013
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    The scope of the European Union Plan of Action for Sharks covers directed commercial, by-catch commercial, directed recreatiol, and by-catch recreatiol fishing of any chondrichthyans within European Union waters. It also includes any fisheries covered by current and potential agreements and partnerships between the European Union and third countries, as well as fisheries in the high seas and fisheries covered by RFMOs maging or issuing non-binding recommendations outside European Union waters. S cientific advice for the purpose of the magement of shark species in the high seas is carried out mainly via the Scientific Committees of the relevant Regiol Fisheries Magement Organisations (RFMO), as well as through specific projects by tiol institutes, and other research organisms. However, the level of knowledge concerning many shark populations in the high seas of the Atlantic, Indian and Pacific Oceans is far from satisfactory. It is therefore necessary to identify gaps in the current know ledge of fisheries, biology and ecology of sharks that should be filled in order to support advice on sustaible magement of elasmobranches' fisheries and undertaking studies to fill those gaps. Therefore, the objective of this project is to obtain scientific advice for the purpose of implementing the EUPOA on sharks as regards the facilitation of monitoring fisheries and shark stock assessment on a species-specific level in the high seas. The study is focused on major elasmobranch species caught by both artisal and industrial large pelagic fisheries on the High Seas of the Atlantic, Indian and Pacific area, which are currently monitored and potentially maged by respective Tu RFMOs. Specifically, firstly the study aims to collate and estimate historical fisheries data especially on species composition of catches, catches and effort, size frequencies in order to identify the gaps in the current availability of fishery statistics as well current knowledge biology and ecology of sharks tha t should be filled in order to support the scientific advice provided to RFMOs on sustaible magement of elasmobranch fisheries. And secondly, the project aims to review and prioritise the gaps identified to develop a research program to fill those gaps in support for the formulation of scientific advice for magement of sharks. The data and knowledge gaps identified through Phase I will allow focusing and prioritising the future research. From this summarisation of Phase I it will be clear as to what data is available for providing magement advice for shark species, and where gaps in the data render this task difficult. In a second step, recommendations for data collection improvements as well as research necessities and activities will be described. The data collected in Phase I of the project gives a complete picture of the current data availability of information about catch and effort, observer programs, size frequency information, biological information and fishery indicators that may support the assessment of major shark species in Tu RFMOs. In spite of the importance of shark catches by industrial fleets, they have traditiolly consisted of bycatch of commercial fisheries and sharks are most often discarded or finned. Therefore, most of the times, shark catches are not recorded, especially with the required level of resolution, and catches must be estimated by statistical procedures based on observer data, fishing effort and different covariates. Moreover, the informatio n recorded is not usually RFMO) databases. The information on shark bycatch is scarce and their estimates found in the literature are not homogenous which made the raising and/or estimates of ratios (by-catch/target catch) uncertain due to various assumptions made (e.g. conversion of the estimates in number of individuals into weight without any information on the mean size per species). In summary, the main difficulties and data gaps identified in the project can be described as follows: there is a lack of shark reporting in artisal and coastal fisheries; there is a lack of shark reporting in industrial fisheries and when is reported usually is not broken down by species; there is a lack of any size frequency data; there is a lack of regiol biological/ecological information for sharks; there are difficulties to access to the data both at RFMO level and at a country level; species misidentification which affect the collection of fishery statistics; low observer coverage for most of the fleets/areas; difficulties with the use of logbook data for shark assessment (misidentification, underreporting, change in targeting practice). The work carried out in first phase of the project focuses on the collection of fishery information publicly available, mainly in the website public domain of the RFMOs in the Indian, Pacific and Atlantic Ocean as well as in the Mediterranean Sea (ICCAT- GFCM, IOTC, IATTC, and WCPFC) but also on information available in the literature, most of which com es from documents presented at the scientific meetings or workshops of RFMOs. The RFMO data administrators were also contacted in order to obtain any additiol fishery statistics data. Similarly, information from flag states, and from EU- member states, was requested in order to improve the information available on discards levels, size frequencies and biological information. Apart from RFMO official statistics, and in order to get more accurate and altertive catch data, shark catch estimations f or the most recent period were appraised based on fleet specific ratios of shark catch over tu (or target) catches. This was done in a two step process, first a general ratio between shark catches over tu (target) catch was applied to estimate total shark catches for major fisheries and, then, the relative proportion by species in the catch was applied to estimate shark catches by species. Those ratios were obtained from the literature search and/or data from observer programs available in the R FMO or in the literature. This exercise allows identifying the fleets that could be mainly responsible for the catch of the main shark species included in the study based on the best assumption of the shark catch over target species catch ratios derived from the literature but also allows identifying the main impacted shark specis by fisheries in each areas as well as the main origin of underreporting. In the Atlantic and Pacific (east and west), the Longline fleet targeting sharks, swordfish an d/or tropical tus is the most important métier catching sharks; which contributes with 59 %, 86 % and 95 % to the total shark catches respectively. On the contrary, the picture in the Indian Ocean is different where gillnet (GN - sensu lato) are contributing with 61 % of the total shark catch in comparison to 18 % for longliners. In general, the species composition of the sharks in different métiers is similar in all Oceans as well as in the Mediterran Sea. For example, Longline (LL - sensu lato ) impacts mainly blueshark and shortfin mako and in a minor extend hammerhead, thresher, silky and oceanic whitetip sharks; whereas Gillnet (GN - sensu lato) are impacting mainly silky, thresher, Oceanic whitetip, and shortfin mako sharks. The catch of silky and oceanic whitetip shark for the longline fleet in the West Pacific is higher than other longline fleets of other Oceans because they are operating in more equatorial waters. Although, in all the Oceans, the contribution to the total catch of Purse seines is minor (maximum of 5 % of total catch in the West Pacific); the species composition of purse seines catch is clearly domited by silky and oceanic whitetip sharks. In all Oceans the main species impacted is blueshark with around 65-75 %, with the exception of the Indian Ocean and Mediterranean Sea, of the total shark catch. The contribution of the rest of the species can vary depending on the relative contribution of different fleets as well as the spatial distribution of the d ifferent fleets. However, in general the blueshark catch is then followed by shortfin mako, hammerhead, silky, thresher, Oceanic withetip shark. In the Indian Ocean, the blueshark contribution to total shark catch is around 35 % followed by silky shark (21 %), thresher (16 %), Oceanic whitetip (11 %), shortfin mako (10 %) and hammerheads (6 %). And in the Mediterrenean, blueshark contribution is around 50 % while other species make up the rest: thresher sharks (25 %), mako sharks (13.3 %), tope shark (6.1 %), rays (3.5 %), and porbeagle (1 %). The comparison between the declared value and the estimated value can be considered as a figure for undereporting. For example, it is worth mentioning that the total average amount of the investigated species estimated is 1.5, 13 and 7 times higher than the average amount declared in the Atlantic Ocean, Mediterranean Sea and Indian Ocean, respectively. However, as the estimation carried out in this alysis was based on ratio of shark catch over to tal target catch there is high uncertainty on fil estimations coming from different sources; such as métier classification, from target species quantities declared and from the shark/target catch ratio used to estimate the shark species investigated; which recommend to take these estimations with caution. It was not possible to apply this methodology to the Eastern and Western Pacific due to the lack of access to disaggretate tu/target species catches from the IATTC/WCPFC public databases. And t he data above should be considered in the light of the different species productivity and susceptibility of a given species to a giving métier. This is important to take into account because in some cases a minor catch of one species from all fleets, or one fleet in particular, can have a great impact if the species in question is more vulnerable showing low productivity and high susceptibility to the fleet(s). So, it is important to consider the results above in the framework of Ecological Risk Assessment (ERA) which can help to identify priorities for observer programs/research efforts. Filly, data gaps identified in relation to shark fishery statistics have been summarized with the aim to develop a research framework that would allow filling those gaps in order to assess and mage the shark population worldwide in a sustaible manner. The design of such programme is benefited and integrates all the information collected through phase I. For example, the data and knowledge gaps identif ied and listed/inventoried through Phase I allows focusing and prioritised the future research. From this summarisation of Phase I it is clear as to what data is available for providing magement advice for shark species, and where gaps in the data render this task difficult. At this stage, recommendations for data collection improvements as well as research necessities and activities are described. As such, the review of existing information; as well as the identification of information gaps, ma in shark species impacted and main métier responsible for major shark catch; presented above provides the basis for development of a research program and priorities for the assessment of the status of sharks in Tu RFMOs. As it is not possible to develop a research program for all the Tu RFMOs, a general framework to develop the research program in support of the scientific advice for shark magement is proposed; which includes: (1) a research framework to identify the main species and fleets that needs to be prioritized for the collection of fishery data and information in order to assure the assessment of principal shark species regiolly in the Tu RFMOs; (2) a general recommendations for all Tu RFMOs to improve the data collection to fill the gaps identified above; and (3) options for magement and mitigation measures for sharks. The research framework is proposed to be organized in three steps: (i) estimation of shark catches by species using the method proposed here which allows ident ifying the most impacted shark species and the métier most affecting those species; (ii) a prelimiry Ecological Risk Assessment (or other prelimiry assessment based on fishery indicators) by fleets which allows to identify the most vulnerable species to focus the efforts in conjunction with point (i); and (iii) specific recommendations of how to apply possible magement measures, to improve data collection and assessment of those fleets/species identified as priorities based on points (ii) and (i ii). The implementation of the three steps is highly related. The project also recommends actions to fill the identified gaps structured in sections as data collection, data reporting, data resolution, data access, and assessment. As the data collected through phase I give a complete picture of what are the main fleets targeting the more important shark species caught in the Tu RFMOs, both EU and other countries catching shark, as well as the extent of their volume; this exercise also helps to i dentify the different species for which more focus is needed and those that are supposed to be caught in a lesser extent. For example, this helps to focus the target or more important fleets to monitor and design specific representative observer schemes for those fleets as necessary. Having in mine the data gaps for major fisheries impacting pelagic sharks stocks in the different t-RFMOs Conventions areas as well as the most important metier catching sharks and most impacted shark species; the p roject proposes some possible solutions and recommendations for the implementation of observers programmes on those fisheries, aiming to improve shark data collection, mely regarding shark catch and discards: species composition; vessel mortality; size and sex data. Magement measures are essential when a given stock is seriously affected by the fishing activity and are aimed at limiting the impact of this activity. The election of a measure will depend on the stock status, on the behavior of the species, on the species being target or not, etc.; but the project summarizes several options of magement and mitigation measures applicable to shark species.
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    Guidelines on forest biodiversity monitoring methodologies for Central Asian countries 2023
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    For effective forest biodiversity monitoring in FAO Sub-regional Office for Central Asia (SEC) countries (Azerbaijan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan and Türkiye), it is important to develop cost-effective and efficient monitoring methods. The main purpose of the guidelines on forest biodiversity monitoring methodologies is to support FAOSEC countries in their efforts to detect changes in forest biodiversity and to ensure that appropriate measures are taken for sustainable forest management. The monitoring process begins with the assessment of monitoring requirements and the establishment of specific goals for the subsequent development of the monitoring approach. Subsequently, essential factors such as indicators, methods and tools for monitoring, team composition, frequency of monitoring, and data management are identified to shape the monitoring initiative, integrating aspects related to the state, impact, and response. The monitoring process is then concluded through the practical implementation of the program via field investigations, analysis and interpretation of the gathered information, and dissemination of resultant reports to pertinent stakeholders. The guidelines for forest biodiversity monitoring methodologies employ this comprehensive five-step monitoring cycle as a foundation for crafting an efficient forest biodiversity monitoring program. The guidelines on forest biodiversity monitoring methodologies are designed to take into account the changes in pressure, state and response indicators especially for biodiversity monitoring with the contributions of subject-matter experts. This study uses the "Pressure-State-Response" framework that has been frequently used in different global, regional, and national monitoring programs. In the guidelines, monitoring targets for species, habitats, ecosystem services, and forestry practices are defined for each monitoring component by using relevant indicators. Using Türkiye’s national biodiversity database (Noah’s Ark Database) and its monitoring tables as samples, the indicators are tabulated with detailed information on the following topics: • Monitoring Level • Monitoring Period and Frequency • Monitoring Area • Monitoring Method • Monitoring Team/Expertise • Target / Success Criteria For effective implementation of the guidelines, a governance mechanism is also proposed for the participation of regional and national stakeholders. The guidelines serve as a comprehensive framework for monitoring forest biodiversity in FAOSEC countries with the aim of providing practical guidance and recommendations for establishing effective forest biodiversity monitoring systems in those countries. The guidelines also emphasize the importance of harmonization and standardization of biodiversity indicators and methods across countries, enhancing comparability and facilitating regional and global reporting.
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    City region food system tools and examples 2018
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    FAO, RUAF Foundation and Wilfrid Laurier University with the financial support of the German Federal Ministry of Food and Agriculture and the Daniel and Nina Carasso Foundation embarked in the period 2015-2017 on a collaborative programme to assess and plan sustainable city region food systems in 7 cities around the world: Colombo (Sri Lanka), Lusaka and Kitwe (Zambia), Medellin (Colombia), Quito (Ecuador), Toronto (Canada and Utrecht (the Netherlands). This City Region Food System (CRFS) toolkit provides guidance on how to assess and plan for sustainable city region food systems. It includes practical tools and examples from the seven cities on how to: • Define and map the city region; • Collect data on the city region food system; • Gather and analyse information on different CRFS components and sustainability dimensions through both rapid and in-depth assessments; • Use a multi-stakeholder process to engage policymakers and other stakeholders in the design of more sustainable and resilient city region food systems. The City Region Food System assessment is aimed to help strengthen the understanding of the current functioning and performance of a food system in the context of a city region, within which rural and urban areas and communities are directly linked. It forms the basis for further development of policies and programmes to promote the sustainability and resilience of CRFS. The CRFS assessment and planning approach advocated builds on a formalised process of identifying and engaging all relevant stakeholders from the start of assessment through to policy review and planning. This means that a CRFS process can result, not only in revised or new urban food policies, strategies and projects, but also in the creation of new -or revitalization of existing- networks for food governance and policy development, such as urban food policy councils and in new institutional food programmes and policies. Each city region has its own context, so no guidelines will fit all. This toolkit is however structured in seven sections or steps generally involved in any CRFS assessment and planning process, based on actual experiences in the project partner cities: • Getting prepared • Defining the CRFS • Vision • CRFS Scan • CRFS Assessment • Policy Support and Planning • Governance The toolkit tells the story of why and how project cities have been implementing this process and what outcomes they achieved. It is meant to be a resource for policymakers, researchers, and other key stakeholders and participants who want to better understand their own CRFS and plan for improvements. In this way the examples and tools documented provide valuable experiences and lessons that may accelerate the development of similar initiatives in other city regions around the world, wishing to apply, or to customise, and to up-scale similar practices. Resources: For a detailed description of the CRFS assessment process, city examples, tools and project outputs, please go to: http://www.fao.org/in-action/food-for-cities-programme/toolkit/introduction/en/ http://www.ruaf.org/projects/developing-tools-mapping-and-assessing-sustainable-city-region-food-systems-cityfoodtools

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