Short-term costs of conservation interventions for fishers at Lake Alaotra, Madagascar

Table S1. ‘Time Period’ categorical variable with eight levels used as a proxy to account for intra- and inter-annual changes in water level and resultant productivity, fish growth, and biomass density. Variables used to categorise months into groups. Months marked with an asterisk are those in which data were collected in both years (2009 and 2010). Water level categories reflect the average range of values above the mean lowest water level: Highest = +1.6m to +2.0m; High = +0.9m to +1.69m; Medium = +0.2m to +0.89m; Low = 0m to +0.19m. Mean rainfall: High >150mm; Medium = 30mm to 149mm; Low = 10mm to 29mm; Very low <10mm. Table S2. Variables used in each linear mixed effects model. List, type, and description of variables used to predict catch weight in two separate LMMs for trap and gill net fishers. Table S3. Coefficients for factors affecting catch weight for fishers using traps in the 16 top models used in model averaging. Coefficients for the fixed effects of the 16 most parsimonious models that were used in model averaging to identify factors influencing catch weight for fishers using traps. A ‘+’ indicates that a factor variable was included in the model, whereas a blank field means that the variable was not included. Coefficients cannot be presented for factor variables (see Table S5 in the Supporting Information for averaged model parameters). The number of parameters in the model (k), the AIC and AIC difference (ΔAIC), and weight (Wi) is given for each model. Individual variable weights (wi) are also provided. Table S4. Coefficients for factors affecting catch weight for fishers using gill nets in the 14 top models used in model averaging. Coefficients for the fixed effects of the 14 most parsimonious models that were used in model averaging to identify factors influencing catch weight for fishers using gill nets. A ‘+’ indicates that a factor variable was included in the model, whereas a blank field means that the variable was not included. Coefficients cannot be presented for factor variables (see Table S5 in the Supporting Information for averaged model parameters). The number of parameters in the model (k), the AIC and AIC difference (ΔAIC), and weight (Wi) is given for each model. Individual variable weights (wi) are also provided. Table S5. Averaged model results for each gear type. Averaged model parameters explaining catch weight for trap and gill net fishers. The coefficients, standard error, and lower and upper confidence intervals for each variable are provided for each averaged set of models. Baseline levels for restricted, time period, and habitat variables for both models are ‘non-restricted’, ‘Time period May-Jun '09’, and ‘edge’, respectively.

表S1。“时间段”分类变量共设8个水平，作为代用指标以考量水位年内及年际变化，以及由此引发的生产力、鱼类生长与生物量密度变化。同时列出了用于将月份划分为不同组别的变量。带星号标记的月份为2009年与2010年两年均开展数据采集的月份。水位分类以平均最低水位之上的数值范围为依据：最高水位区间为+1.6m至+2.0m；高水位区间为+0.9m至+1.69m；中等水位区间为+0.2m至+0.89m；低水位区间为0m至+0.19m。平均降雨量分级为：高降雨量＞150mm；中等降雨量为30mm至149mm；低降雨量为10mm至29mm；极低降雨量＜10mm。

表S2。各线性混合效应模型（linear mixed effects model, LMM）中使用的变量。列出用于分别针对笼网和刺网渔民建立两套线性混合效应模型以预测渔获重量的变量的名称、类型与描述。

表S3。用于模型平均的16个最简约模型中，影响笼网渔民渔获重量的因素的系数。此处呈现了16个最简约模型的固定效应系数，这些模型通过模型平均来识别影响笼网渔民渔获重量的因素。表格中“+”代表某一分类变量被纳入模型，空白单元格则代表该变量未被纳入。分类变量无法展示系数（有关平均模型参数的详细信息，请参见支持信息中的表S5）。每个模型均给出了参数数量（k）、赤池信息准则（Akaike Information Criterion, AIC）及其差值（ΔAIC）、模型权重（Wi），同时也提供了各变量的个体权重（wi）。

表S4。用于模型平均的14个最简约模型中，影响刺网渔民渔获重量的因素的系数。此处呈现了14个最简约模型的固定效应系数，这些模型通过模型平均来识别影响刺网渔民渔获重量的因素。表格中“+”代表某一分类变量被纳入模型，空白单元格则代表该变量未被纳入。分类变量无法展示系数（有关平均模型参数的详细信息，请参见支持信息中的表S5）。每个模型均给出了参数数量（k）、赤池信息准则（AIC）及其差值（ΔAIC）、模型权重（Wi），同时也提供了各变量的个体权重（wi）。

表S5。两种渔具类型对应的平均模型结果。阐释笼网与刺网渔民渔获重量的平均模型参数。针对每套平均模型，均提供了各变量的系数、标准误以及置信区间上下限。两套模型中受限类型、时间段以及生境变量的基准水平分别为“非受限”、“2009年5-6月时间段”以及“边缘生境”。