基于MaxEnt模型的北京周边山区野生狍（Capreolus pygargus）的生境适宜性评价

doi:10.13292/j.1000-4890.202310.017

生态学杂志 ›› 2023, Vol. 42 ›› Issue (10): 2555-2560.doi: 10.13292/j.1000-4890.202310.017

• 技术与方法 • 上一篇

基于MaxEnt模型的北京周边山区野生狍（Capreolus pygargus）的生境适宜性评价

申立泉¹,吴佳忆¹,周鑫¹,吕青昕¹,王燕群²,袁乃秀³,孟秀祥^1,2*

（¹中国人民大学环境学院，北京 100872；²西昌学院动物科学学院，四川西昌 615000； ³生态环境部环境与经济政策研究中心，北京 100029）

出版日期:2023-10-10 发布日期:2023-10-08

Assessment of habitat suitability for wild roe deer (Capreolus pygargus) in mountainous areas around Beijing with MaxEnt model.

SHEN Liquan¹, WU Jiayi¹, ZHOU Xin¹, LYU Qingxin¹, WANG Yanqun², YUAN Naixiu³, MENG Xiuxiang^1,2*#br#

#br#

(¹School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China; ²School of Animal Science, Xichang University, Xichang 615000, Sichuan, China; ³Policy Research Center for Environment and Economy, Ministry of Ecology and Environment, Beijing 100029, China).

Online:2023-10-10 Published:2023-10-08

摘要/Abstract

摘要： 基于2019年7月—2021年2月在北京周边山区进行的野外调查，采集到65处野生狍（Capreolus pygargus）分布位点，选取22个影响野生狍分布的环境因子，利用最大熵（MaxEnt）模型模拟野生狍在北京周边山区的潜在生境分布。结果显示，训练集的AUC值为0.863，预测精度较高；最暖季均温、最湿月降水量、海拔、平均气温日较差、最干月份降水量、最暖月最高温度、温度季节性变化标准差和坡度的累积贡献率达90.9%，是影响北京周边山区狍生境适宜性的主要环境变量。据MaxEnt模型模拟结果对野生狍生境进行适宜性划分（高适宜、中适宜、低适宜和非适宜区），北京周边山区野生狍的适宜生境分布面积为3947.6 km²，占整个研究区域的24.1%，主要分布于北京西部的太行山区域及北京东北部的燕山区域，在北京北部呈少数斑块化分布。高适宜区分布面积为319.8 km²，占整个研究区域的2.0%。在进行北京周边山区野生狍种群及生境的保护实践中，应加强对野生狍适宜生境集中分布的百花山国家级自然保护区和雾灵山国家级自然保护区等区域的生境保护，并通过植被保育及生境廊道建设增加喇叭沟原始森林公园和莽山国家森林公园等区域的野生狍生境的连通性。

关键词: 狍, 北京周边山区, MaxEnt模型, 生境适宜性

Abstract: In this study, 65 occurrence locations of wild roe deer (Capreolus pygargus) were collected through field surveys in mountainous areas around Beijing from July 2019 to February 2021. By selecting 22 environmental variables that affect the distribution of wild roe deer, the maximum entropy model (MaxEnt) was used to predict the potential distribution of wild roe deer in mountainous areas around Beijing. The results showed that the AUC (area under the curve) value of the training set was 0.863, and that the prediction accuracy was high. The cumulative contribution rate of mean temperature of the warmest quarter, precipitation of the wettest month, altitude, mean diurnal range, precipitation of the driest month, maximum temperature of the warmest month, temperature seasonality and slope was 90.9%, indicating that those factors were the main environmental variables affecting the habitat suitability of wild roe deer in mountainous areas around Beijing. According to the simulation results of MaxEnt model, the potential suitable habitats could be classified into four classes: highly suitable, moderately suitable, lowly suitable, and unsuitable. The area of potentially suitable habitats for wild roe deer in mountainous areas around Beijing was 3947.6 km², accounting for 24.1% of the whole area. The suitable habitats of wild roe deer were mainly located in the piedmont of Taihang Mountain in western Beijing and the piedmont of Yanshan Mountain in northeastern Beijing, with a few patches in northern Beijing. The highly suitable area was 319.8 km², accounting for 2.0% of the whole area. Based on the results, habitat protection should be strengthened in Baihuashan National Nature Reserve and Wulingshan National Nature Reserve, where suitable habitats for wild roe deer were concentrated. The connectivity of wild roe deer habitats in areas such as Yanggou Primary Forest Park and Mangshan National Forest Park with patchy distributions of habitats should be increased through vegetation conservation and habitat corridor construction.

Key words: Capreolus pygargus, mountainous areas around Beijing, maximum entropy model (MaxEnt), habitat suitability.

申立泉, 吴佳忆, 周鑫, 吕青昕, 王燕群, 袁乃秀, 孟秀祥. 基于MaxEnt模型的北京周边山区野生狍（Capreolus pygargus）的生境适宜性评价[J]. 生态学杂志, 2023, 42(10): 2555-2560.

SHEN Liquan, WU Jiayi, ZHOU Xin, LYU Qingxin, WANG Yanqun, YUAN Naixiu, MENG Xiuxiang. Assessment of habitat suitability for wild roe deer (Capreolus pygargus) in mountainous areas around Beijing with MaxEnt model.[J]. Chinese Journal of Ecology, 2023, 42(10): 2555-2560.

[1]	苏启陶, 邹峥嵘, 杜志喧, 周兵. 气候变化情境下入侵植物紫茉莉在中国的适生分布格局及早期预警 [J]. 生态学杂志, 2024, 43(3): 833-841.
[2]	李莎, 莫舜华, 胡兴华, 邓涛. 基于MaxEnt和ArcGIS预测濒危植物资源冷杉潜在适生区分析 [J]. 生态学杂志, 2024, 43(2): 533-541.
[3]	吕环鑫, 夏少霞, 顾婧婧, 苏常红, 王春晓, 崔鹏. 基于MaxEnt模型的仙居县大型兽类和珍稀鸟类栖息地适宜性评价 [J]. 生态学杂志, 2023, 42(11): 2797-2805.
[4]	朱婧铱, 王培娟, 姜会飞, 唐俊贤, 俄有浩, 杨建莹, 霍治国. 基于MaxEnt模型的中国鲜食杏气候适宜性区划 [J]. 生态学杂志, 2023, 42(1): 91-98.
[5]	油志远, 王茗, 鲁碧耕, 刘伟, 杨楠. 基于MaxEnt模型预测蓝马鸡的潜在分布区 [J]. 生态学杂志, 2022, 41(11): 2271-2277.
[6]	姜明鑫, 钟文玉, 胡海琴, 郑志强, 陈燕婷, 尤民生, 陈李林. 气候变化背景下茶小绿叶蝉在中国的潜在适生区预测 [J]. 生态学杂志, 2022, 41(10): 2008-2016.
[7]	杜瑞鹏, 王静, 张志东, 许玥, 龙文兴, 冯广. 基于果实类型的海南长臂猿食用树种适宜性分布预测 [J]. 生态学杂志, 2022, 41(1): 142-149.
[8]	牛沛航, 冯艳芬, 王芳. 粤港澳大湾区珍稀濒危动物适宜分布区 [J]. 生态学杂志, 2021, 40(8): 2467-2477.
[9]	杜志喧, 苏启陶, 周兵, 闫小红, 李晓红, 肖宜安. 不同气候变化情景下入侵植物大狼把草在中国的潜在分布 [J]. 生态学杂志, 2021, 40(8): 2575-2582.
[10]	张华, 赵浩翔, 徐存刚. 气候变化背景下孑遗植物桫椤在中国的潜在地理分布 [J]. 生态学杂志, 2021, 40(4): 968-979.
[11]	向荣伟, 达珍, 吴佳忆, 卜向丽, 王静, 鲁庆斌, 郝映红, 盛岩, 孟秀祥. 北京周边山区狍（Capreolus pygargus）的夏季偏好生境特 [J]. 生态学杂志, 2021, 40(10): 3252-3258.
[12]	曾超越, 钟乾娟, 王崇云, 胡艳萍, 吴明慧, 蒙薇, 彭明春. 中国连香树（Cercidiphyllum japonicum）生态适宜区及种群特征 [J]. 生态学杂志, 2020, 39(8): 2704-2712.
[13]	李敏, 李秀明, 徐家慧, 薛琳, 武爱明, 盘凯筠, 闵晓明, 李玉太, 钱法文. 基于MaxEnt模型预测白琵鹭在中国东北地区的适宜分布区 [J]. 生态学杂志, 2020, 39(8): 2691-2703.
[14]	段义忠,王佳豪,王驰,王海涛,杜忠毓. 未来气候变化下西北干旱区4种扁桃亚属植物潜在适生区分析 [J]. 生态学杂志, 2020, 39(7): 2194-2204.
[15]	胡淑萍,何礼文. 基于MaxEnt与ArcGIS对白水江国家级自然保护区缺苞箭竹适生区分析 [J]. 生态学杂志, 2020, 39(6): 2115-2122.

基于MaxEnt模型的北京周边山区野生狍（Capreolus pygargus）的生境适宜性评价

Assessment of habitat suitability for wild roe deer (Capreolus pygargus) in mountainous areas around Beijing with MaxEnt model.

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价