[1] 许仲林, 彭焕华, 彭守璋.物种分布模型的发展及评价方法[J].生态学报, 2015, 35(2):557-567.

XU Zhonglin, PENG Huanhua, PENG Shouzhang. The development and evaluation of species distribution models[J]. Acta Ecol Sin, 2015, 35(2):557-567.
[2] 李国庆, 刘长成, 刘玉国, 等.物种分布模型理论研究进展[J].生态学报, 2013, 33(16):4827-4835.

LI Guoqing, LIU Changcheng, LIU Yuguo, et al. Advances in theoretical issues of species distribution models[J]. Acta Ecol Sin, 2013, 33(16):4827-4835.
[3] 张雷, 王琳琳, 张旭东, 等.随机森林算法基本思想及其在生态学中的应用:以云南松分布模拟为例[J].生态学报, 2014, 34(3):650-659.

ZHANG Lei, WANG Linlin, ZHANG Xudong, et al. The basic principle of random forest and its applications in ecology:a case study of Pinus yunnanensis[J]. Acta Ecol Sin, 2014, 34(3):650-659.
[4] 左闻韵, 劳逆, 耿玉英, 等.预测物种潜在分布区:比较SVM与GARP[J].植物生态学报, 2007, 31(4):711-719.

ZUO Wenyun, LAO Ni, GENG Yuying, et al. Predicting species, potential distribution:SVM compared with GARP[J]. Chin J Plant Ecol, 2007, 31(4):711-719.
[5] 吴建国, 周巧富.气候变化对6种荒漠动物分布的潜在影响[J].中国沙漠, 2011, 31(2):464-475.

WU Jianguo, ZHOU Qiaofu. Potential effect of climate change on distribution of 6 desert animals in China[J]. J Desert Res, 2011, 31(2):464-475.
[6] 李丽鹤, 刘会玉, 林振山, 等.基于MAXENT和ZONATION的加拿大一枝黄花入侵重点监控区确定[J].生态学报, 2017, 37(9):3124-3132.

LI Lihe, LIU Huiyu, LIN Zhenshan, et al. Identifying priority areas for monitoring the invasion of Solidago canadensis based on MAXENT and ZONATION[J]. Acta Ecol Sin, 2017, 37(9):3124-3132.
[7]

ARAÚJO M B, NEW M. Ensemble forecasting of species distributions[J]. Trends Ecol Evol, 2007, 22(1):42-47.
[8] 周志华.机器学习[M].北京:清华大学出版社, 2016.
[9]

WOLPERT D H. Stacked Generalization[M]. New York:Springer, 2017:241-259.
[10]

BREIMAN L. Random forests[J]. Mach Learning, 2001, 45(1):5-32.
[11]

VAYSSIÉRES M P, PLANT R E, ALLEN-DIAZ B H. Classification trees:an alternative non-parametric approach for predicting species distribution[J]. J Veg Sci, 2000, 11(5):679-694.
[12]

WU Y. Statistical Learning Theory[J]. Ann Inst Stat Math, 2003, 55(2):371-389.
[13] 钱永兰, 吕厚荃, 张艳红.基于ANUSPLIN软件的逐日气象要素插值方法应用与评估[J].气象与环境学报, 2010, 26(2):7-15.

QIAN Yonglan, LÜ Houquan, ZHANG Yanhong, et al. Application and assessment of spatial interpolation method on daily meteorogical elements based on ANUSPLIN software[J]. J Meteorol Environ, 2010, 26(2):7-15.
[14] 张雷.气候变化对中国主要造林树种/自然植被地理分布的影响预估及不确定性分析[D].北京: 中国林业科学研究院, 2011.

ZHANG Lei. Projectd Effects of Climate Change on Tree Species/Natural Vegetation Geographical Distribution in China and Uncertainty Analysis[D]. Beijing: Chinese Academy of Forestry, 2011.
[15] 李艳芳, 王钰, 李济洪.几种交叉验证检验的可重复性[J].太原师范学院学报(自然科学版), 2013, 12(4):46-49.

LI Yanfang, WANG Yu, LI Jihong. The replicabilityof several cross-validated tests[J]. J Taiyuan Norm Univ Nat Sci Ed, 2013, 12(4):46-49.
[16]

COHEN J. A coefficient of agreement for nominal scales[J]. Educ Psychol Meas, 1960, 20(1):37-46.
[17] 翟天庆, 李欣海.用组合模型综合比较的方法分析气候变化对朱鹮潜在生境的影响[J].生态学报, 2012, 32(8):2361-2370.

ZHAI Tianqing, LI Xinhai. Climate change induced potential range shift of the crested ibis based on ensemble models[J]. Acta Ecol Sin, 2012, 32(8):2361-2370.
[18] 张雷, 刘世荣, 孙鹏森, 等.气候变化对物种分布影响模拟中的不确定性组分分割与制图:以油松为例[J].生态学报, 2011, 31(19):5749-5761.

ZHANG Lei, LIU Shirong, SUN Pengsen, et al. Partitioning and mapping the sources of variations in the ensemble forecasting of species distribution under climate change:a case study of Pinus tabulaeformis[J]. Acta Ecol Sin, 2011, 31(19):5749-5761.
[19]

MONSERU R A, LEEMANSB R. Comparing global vegetation maps with the Kappa statistic[J]. Ecol Modelling, 1992, 62(4):275-293.
[20]

PEARSON R G, DAWSON T P. Predicting the impacts of climate change on the distribution of species:are bioclimate envelope models useful?[J]. Global Ecol Biogeogr, 2010, 12(5):361-371.
[21] 张殷波, 高晨虹, 秦浩.山西翅果油树的适生区预测及其对气候变化的响应[J].应用生态学报. 2018, 29(4):1156-1162.

ZHANG Yinbo, GAO Chenhong, QIN Hao. Prediction of suitable distribution of Elaeagnus mollis in Shanxi Province, China and its response to climate change[J]. Chin J Appl Ecol, 2018, 29(4):1156-1162.
[22]

HERNANDEZ P A, GRAHAM C H, MASTER L L, et al. The effect of sample size and species characteristics on performance of different species distribution modeling methods[J]. Ecography, 2006, 29(5):773-785.
[23]

ENGLER R, GUISAN A, RECHSTEINER L. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data[J]. J Appl Ecol, 2004, 41(2):263-274.