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. 2023 Oct 6;11:e16212. doi: 10.7717/peerj.16212

Table 1. Association of species richness of breeding and wintering birds of Pakistan with climate, land-use change, water discharge in rivers, and human population density.

Species richness of breeding birds and wintering birds was modeled as a function of mean seasonal temperature, total seasonal precipitation, maximum water discharge, pastures, rainfed cropland, irrigated cropland and human population in a generalized least squares model while adding the spatial covariance structure in the variance-covariance matrix. We also added interaction terms between mean seasonal temperature, total seasonal precipitation and rainfed cropland. All variables are averaged over 0.5 × 0.5° resolution. Variables were kept in their original units for interpretation. All significant values are shown in bold.

Breeding birds
β Std. error t value P-value
Mean seasonal temperature (°C) 9.4133 ±2.74 3.42 <0.001
Total seasonal precipitation (mm) 15.18 ±2.95 5.14 <0.001
Maximum water discharge from rivers (m3s−1) −0.10 ±0.43 −0.23 0.81
Pastures (%) 0.68 ±0.77 0.88 0.37
Rainfed cropland (%) 4.72 ±1.09 4.30 <0.001
Irrigated cropland (%) 0.73 ±1.08 0.68 0.49
Human population −0.100 ±0.82 −0.12 0.85
Temperature:precipitation 4.04 1.42 2.83 0.004
Temperature:rainfed cropland −4.66 1.54 −3.02 0.002
Precipitation:rainfed cropland −1.14 0.96 −1.18 0.23
Temperature:precipitation:rainfed cropland 1.03 0.83 1.24 0.21
Wintering birds
β Std. error t value P-value
Mean seasonal temperature (°C) 20.26 ±0.38 6.86 <0.001
Total seasonal precipitation (mm) 11.19 ±0.06 3.95 <0.001
Maximum water discharge from rivers (m3s−1) 0.27 ±0.00001 0.50 0.61
Pastures (%) 0.17 ±15.49 0.13 0.89
Rainfed cropland (%) 4.06 ±8.63 3.12 0.001
Irrigated cropland (%) 0.75 ±4.95 0.70 0.48
Human population 0.01 ±0.000001 0.21 0.83
Temperature:precipitation 3.47 1.42 2.45 0.01
Temperature:rainfed cropland −2.65 1.66 −1.59 0.11
Precipitation:rainfed cropland −0.63 0.92 −0.68 0.49
Temperature:precipitation:rainfed cropland 1.81 0.95 1.90 0.05