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

<strong>Table S1.</strong> ‘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 &gt;150mm; Medium = 30mm to 149mm; Low = 10mm to 29mm; Very low &lt;10mm. <strong>Table S2.</strong> 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. <strong>Table S3.</strong> 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. <strong>Table S4.</strong> 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. <strong>Table S5.</strong> 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.

补充表S1。用于表征水位年内、年际变化及其对应产生的生产力、鱼类生长与生物量密度变化的8分类分类变量"时段"。该变量用于将月份划分为不同组别。标注星号的月份为2009年与2010年两年均开展数据采集的时段。水位分级以相对于平均最低水位的平均数值范围为依据：最高水位为+1.6m至+2.0m；高水位为+0.9m至+1.69m；中等水位为+0.2m至+0.89m；低水位为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。
补充表S2。各线性混合效应模型（linear mixed effects model，LMM）所采用的变量。针对笼钓与刺网渔民两类群体，分别构建两个线性混合效应模型以预测捕捞重量，下表列出了该模型所使用变量的清单、类型与描述。
补充表S3。模型平均法所用的16个最优模型中，笼钓渔民捕捞重量影响因子的系数。该表列出了16个最精简模型的固定效应系数，这些模型通过模型平均法筛选得到，用于识别笼钓渔民捕捞重量的影响因子。表中"+"表示某因子变量已纳入模型，空白单元格则表示该变量未被纳入。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）、赤池信息准则（AIC）、赤池信息准则差值（ΔAIC）与模型权重（Wi）均已列出，同时提供了单个变量的权重（wi）。
补充表S4。模型平均法所用的14个最优模型中，刺网渔民捕捞重量影响因子的系数。该表列出了14个最精简模型的固定效应系数，这些模型通过模型平均法筛选得到，用于识别刺网渔民捕捞重量的影响因子。表中"+"表示某因子变量已纳入模型，空白单元格则表示该变量未被纳入。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）、赤池信息准则（AIC）、赤池信息准则差值（ΔAIC）与模型权重（Wi）均已列出，同时提供了单个变量的权重（wi）。
补充表S5。两类渔具对应的模型平均结果。分别呈现笼钓与刺网渔民捕捞重量的模型平均参数。针对每组平均模型，列出各变量的系数、标准误以及置信区间上下限。两类模型中受限情况、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"。