生物多样性 ›› 2018, Vol. 26 ›› Issue (9): 941-950. DOI: 10.17520/biods.2018125
王波1,4, 黄勇2, 李家堂3, 戴强3, 王跃招3, 杨道德1,*()
收稿日期:
2018-04-22
接受日期:
2018-07-05
出版日期:
2018-09-20
发布日期:
2019-01-05
通讯作者:
杨道德
作者简介:
# 共同第一作者
基金资助:
Bo Wang1,4, Yong Huang2, Jiatang Li3, Qiang Dai3, Yuezhao Wang3, Daode Yang1,*()
Received:
2018-04-22
Accepted:
2018-07-05
Online:
2018-09-20
Published:
2019-01-05
Contact:
Yang Daode
About author:
# Co-first authors
摘要:
物种丰富度分布格局的成因机制一直是宏观生态学研究的热点问题之一。中国西南地区喀斯特地貌区(以广西、云南和贵州为主)是世界上面积最大的喀斯特地貌区, 也是全球范围内34个生物多样性热点地区之一。为了解该区域两栖动物物种丰富度分布格局及其与环境因子之间的关系, 本研究根据中国科学院成都生物研究所标本馆、中国科学院昆明动物研究所标本馆、广西壮族自治区自然博物馆和中南林业科技大学动物标本室收藏的标本数据, 以及公开发表的文献数据, 共获得18,246条两栖动物记录(219个物种), 然后运用生态位模型估测每个物种的潜在分布区, 并把每个物种的潜在分布区叠加起来, 最终得到该区域在10 km ´10 km生态位模型空间尺度上的两栖物种丰富度地理分布格局图, 最后进行多元回归和模型选择分析。结果表明: 有12种两栖动物仅在喀斯特地貌区分布, 占物种总数的5.48%; 有104种两栖动物仅在非喀斯特地貌区分布, 占物种总数的47.49%; 有103种两栖动物在喀斯特地貌区和非喀斯特地貌区均有分布, 占物种总数的47.03%; 两栖动物物种丰富度随纬度的增高而降低; 地貌类型(喀斯特地貌和非喀斯特地貌)对两栖动物物种丰富度的分布格局有显著影响(χ2 = 36.47, P < 0.0001), 但模型拟合效果差(McFadden’s Rho square = 0.0037)。影响该区域两栖动物物种丰富度分布格局最大的环境因子是年均降雨量(R2 = 0.232, P < 0.001), 其次是最干月平均降雨量(R2 = 0.221, P < 0.001)。该区域两栖动物物种丰富度的格局主要是由地貌和不同的环境因子共同相互作用的结果, 不过仍有相当一部分物种丰富度的分布格局未被解释。因此, 要更全面地认识该区域两栖动物物种丰富度格局的形成机制, 有必要加强干扰、捕食、竞争等其他生物因子的影响研究。
王波, 黄勇, 李家堂, 戴强, 王跃招, 杨道德 (2018) 西南喀斯特地貌区两栖动物丰富度分布格局与环境因子的关系. 生物多样性, 26, 941-950. DOI: 10.17520/biods.2018125.
Bo Wang, Yong Huang, Jiatang Li, Qiang Dai, Yuezhao Wang, Daode Yang (2018) Amphibian species richness patterns in karst regions in Southwest China and its environmental associations. Biodiversity Science, 26, 941-950. DOI: 10.17520/biods.2018125.
相关假说 Hypothesis | 环境变量 Environmental variable | 变量缩写 Abbreviation |
---|---|---|
能量假说 Energy availability | 年均温度 Annual mean temperature (℃) | BIO1 |
平均日温差 Mean diurnal range (℃) | BIO2 | |
等温性 Isothermality (℃) | BIO3 | |
季节性温度变化 Temperature seasonality | BIO4 | |
最高气温 Max temperature of warmest month (℃) | BIO5 | |
最低气温 Min temperature of coldest month (℃) | BIO6 | |
年均温差 Temperature annual range (℃) | BIO7 | |
最湿季平均温度 Mean temperature of wettest quarter (℃) | BIO8 | |
最干季平均温度 Mean temperature of driest quarter (℃) | BIO9 | |
最暖季平均温度 Mean temperature of warmest quarter (℃) | BIO10 | |
最冷季平均温度 Mean temperature of coldest quarter (℃) | BIO11 | |
年均日照时数(白昼长的百分比) Mean annual sunshine (percent of daylength) | SUNP | |
年均霜日频率 Mean annual frost-day frequency (days) | FF | |
年均潜在蒸散量 Mean annual potential evapotranspiration (mm/yr) | PET | |
年均风速 Mean annual wind speed (m/s) | WIND | |
水分假说 Water availability | 年均降雨量 Annual precipitation (mm/yr) | BIO12 |
最湿月平均降雨量 Precipitation of wettest month (mm/yr) | BIO13 | |
最干月平均降雨量 Precipitation of driest month (mm/yr) | BIO14 | |
季节性降雨量 Precipitation seasonality | BIO15 | |
最湿季平均降雨量 Precipitation of wettest quarter (mm/yr) | BIO16 | |
最干季平均降雨量 Precipitation of driest quarter (mm/yr) | BIO17 | |
最暖季平均降雨量 Precipitation of warmest quarter (mm/yr) | BIO18 | |
最冷季平均降雨量 Precipitation of coldest quarter (mm/yr) | BIO19 | |
年均相对湿度 Mean annual relative humidity (%) | REH | |
生产力假说 Productive energy | 归一化植被指数 Normalized difference vegetation index | NDVI |
年均实际蒸散量 Mean annual actual evapotranspiration (mm/yr) | AET | |
年均太阳辐射量 Mean annual solar radiation (W/m2) | RAD | |
生境异质性 假说 Habitat heterogeneity | 海拔 Elevation | ELE |
植被类型数 Vegetation (number of vegetation classes/quadrat) | VEG | |
地貌类型 Landform | LANDF |
表1 4个假说表征的环境变量
Table 1 Environmental variables represented by the four hypotheses
相关假说 Hypothesis | 环境变量 Environmental variable | 变量缩写 Abbreviation |
---|---|---|
能量假说 Energy availability | 年均温度 Annual mean temperature (℃) | BIO1 |
平均日温差 Mean diurnal range (℃) | BIO2 | |
等温性 Isothermality (℃) | BIO3 | |
季节性温度变化 Temperature seasonality | BIO4 | |
最高气温 Max temperature of warmest month (℃) | BIO5 | |
最低气温 Min temperature of coldest month (℃) | BIO6 | |
年均温差 Temperature annual range (℃) | BIO7 | |
最湿季平均温度 Mean temperature of wettest quarter (℃) | BIO8 | |
最干季平均温度 Mean temperature of driest quarter (℃) | BIO9 | |
最暖季平均温度 Mean temperature of warmest quarter (℃) | BIO10 | |
最冷季平均温度 Mean temperature of coldest quarter (℃) | BIO11 | |
年均日照时数(白昼长的百分比) Mean annual sunshine (percent of daylength) | SUNP | |
年均霜日频率 Mean annual frost-day frequency (days) | FF | |
年均潜在蒸散量 Mean annual potential evapotranspiration (mm/yr) | PET | |
年均风速 Mean annual wind speed (m/s) | WIND | |
水分假说 Water availability | 年均降雨量 Annual precipitation (mm/yr) | BIO12 |
最湿月平均降雨量 Precipitation of wettest month (mm/yr) | BIO13 | |
最干月平均降雨量 Precipitation of driest month (mm/yr) | BIO14 | |
季节性降雨量 Precipitation seasonality | BIO15 | |
最湿季平均降雨量 Precipitation of wettest quarter (mm/yr) | BIO16 | |
最干季平均降雨量 Precipitation of driest quarter (mm/yr) | BIO17 | |
最暖季平均降雨量 Precipitation of warmest quarter (mm/yr) | BIO18 | |
最冷季平均降雨量 Precipitation of coldest quarter (mm/yr) | BIO19 | |
年均相对湿度 Mean annual relative humidity (%) | REH | |
生产力假说 Productive energy | 归一化植被指数 Normalized difference vegetation index | NDVI |
年均实际蒸散量 Mean annual actual evapotranspiration (mm/yr) | AET | |
年均太阳辐射量 Mean annual solar radiation (W/m2) | RAD | |
生境异质性 假说 Habitat heterogeneity | 海拔 Elevation | ELE |
植被类型数 Vegetation (number of vegetation classes/quadrat) | VEG | |
地貌类型 Landform | LANDF |
环境变量 Enviromental predictor | AICc | ΔAICc | Wi | t | R2 | P |
---|---|---|---|---|---|---|
年均降雨量 Annual precipitation (mm/yr) | 41,710 | 0 | 1 | 48.465 | 0.232 | < 0.001 |
最干月平均降雨量 Precipitation of driest month (mm/yr) | 41,820 | 110 | 0 | 46.963 | 0.221 | < 0.001 |
日照时数(白昼长的百分比) Mean annual sunshine (percent of daylength) | 43,021 | 1,311 | 0 | -27.903 | 0.091 | 0 |
年均实际蒸散量 Mean annual actual evapotranspiration (mm/yr) | 43,071 | 1,361 | 0 | 26.895 | 0.085 | < 0.001 |
年均相对湿度 Mean annual relative humidity (%) | 43,479 | 1,769 | 0 | 17.021 | 0.036 | 0 |
年均风速 Mean annual wind speed | 43,666 | 1,956 | 0 | -9.861 | 0.012 | < 0.001 |
年均潜在蒸散量 Mean annual potential evapotranspiration (mm/yr) | 43,753 | 2,043 | 0 | 3.129 | 0.001 | 0.002 |
年均温度 Annual mean temperature (℃) | 43,568 | 1,858 | 0 | 14.043 | 0.025 | < 0.001 |
植被类型数 Vegetation (number of vegetation classes/quadrat) | 43,758 | 2,048 | 0 | -2.251 | < 0.001 | 0.024 |
归一化植被指数 Normalized difference vegetation index | 43,761 | 2,051 | 0 | 1.38 | < 0.001 | 0.168 |
年均太阳辐射量 Mean annual solar radiation (W/m2) | 43,761 | 2,051 | 0 | -1.453 | < 0.001 | 0.146 |
表2 两栖类物种丰富度和变量的线性回归分析的AICc值、统计值(t)、R2和P值
Table 2 Standardized regression coefficients of linear regression, t statistics, R2 and associated P-values for amphibian species richness against environmental predictors
环境变量 Enviromental predictor | AICc | ΔAICc | Wi | t | R2 | P |
---|---|---|---|---|---|---|
年均降雨量 Annual precipitation (mm/yr) | 41,710 | 0 | 1 | 48.465 | 0.232 | < 0.001 |
最干月平均降雨量 Precipitation of driest month (mm/yr) | 41,820 | 110 | 0 | 46.963 | 0.221 | < 0.001 |
日照时数(白昼长的百分比) Mean annual sunshine (percent of daylength) | 43,021 | 1,311 | 0 | -27.903 | 0.091 | 0 |
年均实际蒸散量 Mean annual actual evapotranspiration (mm/yr) | 43,071 | 1,361 | 0 | 26.895 | 0.085 | < 0.001 |
年均相对湿度 Mean annual relative humidity (%) | 43,479 | 1,769 | 0 | 17.021 | 0.036 | 0 |
年均风速 Mean annual wind speed | 43,666 | 1,956 | 0 | -9.861 | 0.012 | < 0.001 |
年均潜在蒸散量 Mean annual potential evapotranspiration (mm/yr) | 43,753 | 2,043 | 0 | 3.129 | 0.001 | 0.002 |
年均温度 Annual mean temperature (℃) | 43,568 | 1,858 | 0 | 14.043 | 0.025 | < 0.001 |
植被类型数 Vegetation (number of vegetation classes/quadrat) | 43,758 | 2,048 | 0 | -2.251 | < 0.001 | 0.024 |
归一化植被指数 Normalized difference vegetation index | 43,761 | 2,051 | 0 | 1.38 | < 0.001 | 0.168 |
年均太阳辐射量 Mean annual solar radiation (W/m2) | 43,761 | 2,051 | 0 | -1.453 | < 0.001 | 0.146 |
图1 西南喀斯特两栖动物物种丰富度格局图。A: 基于实际收集的数据; B: 基于MaxEnt模型预测。每个栅格面积为10 km × 10 km, 空白栅格表示无物种分布记录或未收集到数据。
Fig. 1 Species distribution modeling of amphibians in Southwest China, based on (A) the raw data of museum collections data and (B) MaxEnt species distribution modeling. The area of each cell is 10 km × 10 km. Blank cells have no specimen based on the major collections.
图2 基于实际收集到的经纬度点数据的两栖类物种丰富度与经度(a)和纬度(b)的关系
Fig. 2 The relationships between amphibian richness and longitude (a) and latitude (b) based on the raw data of museum collections
图3 基于MaxEnt模型预测的两栖类物种丰富度与经度(a)和纬度(b)的关系
Fig. 3 The relationships between amphibian richness and longitude (a) and latitude (b) based on MaxEnt species distribution modeling
图4 两栖类的物种丰富度和环境变量的回归残差的Moran’s I指数图
Fig. 4 Moran’s I index correlogram for amphibian species richness and the residuals of multiple regression with environmental predictors
假说 Hypothesis | R2 | AICc | ΔAICc | K | Wi |
---|---|---|---|---|---|
生产力假说 Productivity energy | 0.004 | 6,908 | 4,268 | 4 | 0 |
生境异质性假说 Habitat heterogeneity | 0.005 | 6,898 | 4,258 | 3 | 0 |
能量假说 Ambient energy | 0.173 | 5,462 | 2,822 | 5 | 0 |
水分-能量假说 Water-energy balance hypothesis | 0.34 | 3,706 | 1,066 | 4 | 0 |
混合模型 Mixed model* | 0.425 | 2,640 | 0 | 12 | 1 |
表3 基于模型选择方法的每种假说的AICc值和调整R2值
Table 3 AICc value and adjusted R2 value for each hypothesis based on model selection approach
假说 Hypothesis | R2 | AICc | ΔAICc | K | Wi |
---|---|---|---|---|---|
生产力假说 Productivity energy | 0.004 | 6,908 | 4,268 | 4 | 0 |
生境异质性假说 Habitat heterogeneity | 0.005 | 6,898 | 4,258 | 3 | 0 |
能量假说 Ambient energy | 0.173 | 5,462 | 2,822 | 5 | 0 |
水分-能量假说 Water-energy balance hypothesis | 0.34 | 3,706 | 1,066 | 4 | 0 |
混合模型 Mixed model* | 0.425 | 2,640 | 0 | 12 | 1 |
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