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Impacts of Community Forest Management and strictly protected areas on deforestation and human well-being in Madagascar

机译:社区森林管理和严格保护区对马达加斯加森林砍伐和人类福祉的影响

摘要

Protected areas and Community Forest Management (CFM) are among the most widespread interventions to conserve forests in tropical countries. In addition to their impacts on forests and the biodiversity they contain, these interventions also affect human well-being, particularly that of the local communities who are often poor and politically marginalized and whose livelihoods depend directly on the forest resources being conserved. To develop effective interventions, practitioners need to haveudcredible, strong and scientifically rigorous evidence on their impacts on forests (or the biodiversity theyudcontain) and human well-being. However, while cientifically rigorous impact evaluation of programs is well advanced in fields such as development, health and education, it is rare in nature conservation.udThe rare existing studies focus mostly on protected areas and other interventions, such as CFM, are relatively untouched by scientifically rigorous impact evaluation.udDifferent challenges account for the limited adoption of rigorous impact evaluation in nature conservation. Among these are the identification and elimination of rival explanations: factors other than the intervention that can explain the observed relationship between the intervention and the outcome. Potential rival explanations are factors that can confound impact estimates by affecting bothudassignment of units to intervention and the outcome. Another potential rival explanation is baselineudoutcome data that should have been collected before the intervention was implemented. Baseline data are often missing in conservation studies. Another challenge is the heterogeneity of management practices within and units exposed to the same intervention. A challenge pertaining particularly to studies on human well-being impacts is the multi-dimensional nature of human well-being.udIn this thesis, I aim to investigate the impacts of different conservation interventions on environmentaludand human well-being outcomes while addressing the challenges to conservation impact evaluation discussed above. My case studies are CFM and strict protection in Madagascar; one of the world’s hottest biodiversity hotspots. I have three specific objectives which are addressed in three manuscripts with the following titles:udi) Effectiveness of CFM at reducing deforestation across Madagascar (manuscript 1): With colleagues, I investigated the impacts of CFM on deforestation at the national scale between 2000 and 2010 using matching to control for factors confounding impact estimates. We did not detect anudimpact of CFM, on average, when CFM areas were compared to non-CFM areas, even when the sample was restricted to only where information suggests effective CFM implementation on the ground. However, impacts were heterogeneous conditional on whether CFM permits commercial use of forest resources. No CFM impact was detected where commercial use of natural resources is allowed. However, we did detect some reduction of deforestation in areas managed under CFM thatuddoes not permit commercial use, when compared to non-CFM or CFM permitting commercial use. Our findings suggest differentiating among types of CFM is important for estimating the impacts of this conservation approach.udii) Impacts of CFM on human economic well-being across Madagascar (manuscript 2): In this manuscript, we investigated impacts on household living standards across Madagascar as measured by per capita consumption expenditure. We used matching to control for confounding factors and addressed the issue of missing baseline values of household consumption expenditures using an approach known as the placebo test. We cannot statistically reject the hypothesis of zero impact, but we can credibly reject the hypothesis that CFM has had substantial negative impacts on economic well-being across CFM communities in Madagascar. There were heterogeneous impacts, with a mixture of positive and negative impacts, conditional on household proximity to forest and education level. In conclusion, the impacts of CFM vary with household characteristics: some may lose while others may gain.udiii) The potential of the Global Person Generated Index (GPGI) for evaluating the perceived impact of conservation interventions on subjective well-being (manuscript 3): In this study, we used the GPGI, a subjective and multidimensional well-being instrument, to investigate the relative impacts of strict protection and CFM on human well-being in sites in eastern Madagascar. We used audparticipatory approach to establish the cause-effect relationship between the interventions and the outcomes (i.e., to eliminate rival explanations). We did not detect statistically significant difference, on average, between the two approaches in three measures we used to examine the magnitude of their relative impacts on subjective well-being. However, we found some differences in theudcharacteristics of subjective well-being component domains impacted by the strict protection and CFM and in the priority domains that could be targeted by increased resource allocation to improve well-being in locally meaningful ways. Combined with the participatory approach to establish cause-effect relationship, we suggest GPGI provides highly relevant insight that can be used touddesign policy seeking to increase local participation and develop more positive local attitudes towards conservation.udThe first two manuscripts (1 and 2) involve analyses at the national scale, objective indicators (deforestation and consumption expenditure) and rigorous quantitative causal inference designs making them of value to external stakeholders, such as government agencies and donors, seeking to know the magnitude of impacts to inform large scale conservation policy. However, these large scale studies may be of limited use for project managers who want to build locally legitimate interventions or those whoudwant a deeper understanding of how conservation interventions affect local people. In the third manuscript, we used a subjective measure of well-being (the GPGI) in combination with participatory approach to establish cause-effect relationship between interventions and locally meaningful outcomes. This has limited value for quantitatively measuring the magnitude of impacts; but holds some promises for project managers who seek local participation and social sustainability. Conservation has long suffered from poor quality evaluation of its impacts. This thesis shows that methods for impact evaluation are available, but the appropriate method that should be applied depends, among other things, on the purpose of the evaluation.
机译:保护区和社区森林管理(CFM)是保护热带国家森林最广泛的干预措施之一。除了对森林及其所包含的生物多样性的影响外,这些干预措施还影响人类福祉,特别是经常贫穷和政治边缘化,其生计直接取决于所保护森林资源的当地社区的福祉。为了制定有效的干预措施,从业人员需要具有对森林(或其所居住的生物多样性)的影响和人类福祉的可信的,强有力的和科学严谨的证据。但是,尽管在发展,健康和教育等领域进行了严格科学的计划影响评估,但在自然保护领域却很少见。 ud现有的罕见研究主要集中在保护区和其他干预措施(例如CFM)上通过科学的严格影响评估。 ud不同的挑战说明了在自然保护中采用严格的影响评估的局限性。其中包括识别和消除竞争者的解释:干预以外的其他因素可以解释观察到的干预与结果之间的关系。潜在的竞争对手解释是可能通过影响干预措施的单位分配和结果而混淆影响估计的因素。另一个潜在的竞争对手解释是在实施干预措施之前应收集的基线结果数据。在保护性研究中经常缺少基线数据。另一个挑战是同一干预措施内部以及暴露于同一干预措施的部门之间管理实践的异质性。特别是对人类福祉影响的研究面临的挑战是人类福祉的多维性质。 ud在本文中,我旨在研究不同的保护性干预措施对环境 udand人类福祉结果的影响。上面讨论的保护影响评估面临的挑战。我的案例研究是CFM和马达加斯加的严格保护;世界上最热门的生物多样性热点之一。我有三个目标,其中三个主题有以下三个目标: udi)可持续森林管理在减少马达加斯加森林砍伐方面的有效性(文稿1):与同事们,我调查了2000年至2000年间森林可持续经营对全国森林砍伐的影响2010年使用匹配来控制混杂影响估计的因素。当将CFM区域与非CFM区域进行比较时,即使样本仅限于信息表明在地面上有效实施CFM的情况下,我们平均也没有发现CFM的影响。但是,影响取决于CFM是否允许对森林资源进行商业利用。在允许对自然资源进行商业使用的情况下,未检测到CFM影响。但是,与非CFM或允许商业使用的CFM相比,我们确实发现在CFM管理的区域中砍伐的森林有所减少,这些地区不允许商业使用。我们的调查结果表明,区分CFM类型对于评估这种保护方法的影响至关重要。 udii)CFM对马达加斯加各地人类经济福祉的影响(手稿2):在本手稿中,我们调查了整个家庭对生活水平的影响马达加斯加按人均消费支出衡量。我们使用匹配来控制混杂因素,并使用一种称为安慰剂测试的方法解决了家庭消费支出基线值缺失的问题。我们不能从统计学上否定零影响的假设,但我们可以可靠地否定CFM对马达加斯加CFM社区的经济福祉产生重大负面影响的假设。存在各种不同的影响,既有正面影响又有负面影响,这取决于家庭离森林和教育程度的接近程度。总之,CFM的影响因家庭特征而异:有些可能会损失,而另一些可能会有所增加。 udiii)全球人均生成指数(GPGI)用于评估自然保护措施对主观幸福感影响的潜力(手稿3) ):在这项研究中,我们使用了GPGI(一种主观和多维的福利工具)调查了马达加斯加东部地区严格保护和CFM对人类福利的相对影响。我们使用参与式方法来建立干预措施与结果之间的因果关系(即消除对立的解释)。在我们用来检验其对主观幸福感的相对影响程度的三种方法中,我们平均没有发现这两种方法之间的统计学显着差异。然而,我们发现在受到严格保护和CFM影响的主观幸福感组件域的 ud特征上,以及可以通过增加资源分配以本地有意义的方式改善幸福感的优先领域中,存在一些差异。结合建立因果关系的参与式方法,我们建议GPGI提供高度相关的见解,可用于 uddesign设计政策,以寻求增加当地的参与并发展出更积极的当地对保护的态度。 ud前两个手稿(第1和第2个手稿) )涉及全国范围的分析,客观指标(森林砍伐和消费支出)以及严格的定量因果推论设计,使其对外部利益相关者(例如政府机构和捐助者)具有价值,以期了解影响的严重程度,从而为大规模的保护政策提供依据。但是,这些大规模研究对于想要在当地建立合法干预措施的项目经理,或者对保护干预措施如何影响当地人民的理解较深的人,可能用途有限。在第三个手稿中,我们使用了一种主观的幸福感测度(GPGI)并与参与性方法相结合,建立了干预措施与局部有意义结果之间的因果关系。这对于定量评估影响的价值有限。但是对于寻求本地参与和社会可持续发展的项目经理来说,则具有一些希望。长期以来,对养护的影响评估质量很差。本文表明,可以使用影响评估的方法,但是应采用的适当方法尤其取决于评估的目的。

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