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.

Table S1. 表S1：作为代理变量的8分类"时段"分类变量，用于表征水位年内及年际变化及其带来的生产力、鱼类生长与生物量密度变化。用于对月份进行分组的变量。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。水位等级参照平均最低水位之上的平均数值范围划定：最高（Highest）为+1.6m至+2.0m；高（High）为+0.9m至+1.69m；中等（Medium）为+0.2m至+0.89m；低（Low）为0m至+0.19m。平均降雨量等级划定为：高（High）>150mm；中等（Medium）为30mm至149mm；低（Low）为10mm至29mm；极低（Very low）<10mm。

Table S2. 表S2：各线性混合效应模型（Linear Mixed Effects Model, LMM）中使用的变量。用于分别针对笼壶渔具与刺网渔具捕鱼者的渔获重量构建两个独立线性混合模型时所采用变量的列表、类型与描述信息。

Table S3. 用于模型平均的16个最优模型中，笼壶渔具捕鱼者渔获重量影响因子的系数。用于模型平均以识别笼壶渔具捕鱼者渔获重量影响因子的16个最简约模型的固定效应系数。其中"+"表示某因子变量已被纳入模型，空白字段则代表该变量未被纳入。因子变量的系数无法直接呈现（模型平均参数详见支持信息中的表S5）。各模型的参数数量（k）、AIC值、AIC差值（ΔAIC）与权重（Wi）均已列出，同时提供了单个变量的权重（wi）。

Table S4. 用于模型平均的14个最优模型中，刺网渔具捕鱼者渔获重量影响因子的系数。用于模型平均以识别刺网渔具捕鱼者渔获重量影响因子的14个最简约模型的固定效应系数。其中"+"表示某因子变量已被纳入模型，空白字段则代表该变量未被纳入。因子变量的系数无法直接呈现（模型平均参数详见支持信息中的表S5）。各模型的参数数量（k）、AIC值、AIC差值（ΔAIC）与权重（Wi）均已列出，同时提供了单个变量的权重（wi）。

Table S5. 表S5：两种渔具类型的模型平均结果。用于解释笼壶与刺网渔具捕鱼者渔获重量的模型平均参数。针对每组模型平均结果，提供了各变量的系数、标准误以及置信区间上下限。两个模型中受限情况、时段与生境变量的基准水平分别为"非受限"、"2009年5-6月时段"与"边缘生境"。