生物多样性 ›› 2018, Vol. 26 ›› Issue (2): 171-176. DOI: 10.17520/biods.2017080
所属专题: 青藏高原生物多样性与生态安全
崔绍朋1,2,3#, 罗晓1,2#, 李春旺1,2, 胡慧建4, 蒋志刚1,2,*()
收稿日期:
2017-03-15
接受日期:
2017-11-16
出版日期:
2018-02-20
发布日期:
2018-05-05
通讯作者:
蒋志刚
作者简介:
# 共同第一作者
基金资助:
Shaopeng Cui1,2,3#, Xiao Luo1,2#, Chunwang Li1,2, Huijian Hu4, Zhigang Jiang1,2,*()
Received:
2017-03-15
Accepted:
2017-11-16
Online:
2018-02-20
Published:
2018-05-05
Contact:
Jiang Zhigang
About author:
# Co-first authors
摘要:
研究物种分布格局对制定有效保护措施至关重要。本研究从文献记录和实地调查中获取97个分布点, 筛选出7个重要环境变量, 采用最大熵(MaxEnt)模型分析了中国青藏高原特有种白唇鹿(Przewalskium albirostris)的潜在分布区域。结果显示: 白唇鹿潜在分布区主要位于青藏高原东部, 适宜生境呈现出以西藏、青海和四川三省交界地带为核心向四周扩散的模式。刀切法(Jackknife)分析表明, 地形、气温季节变化和年降水量是决定白唇鹿分布的重要因素, 人类影响变量贡献相对较小。白唇鹿种群现状尚不清晰, 建议对该物种进行全面深入调查。
崔绍朋, 罗晓, 李春旺, 胡慧建, 蒋志刚 (2018) 基于MaxEnt模型预测白唇鹿的潜在分布区. 生物多样性, 26, 171-176. DOI: 10.17520/biods.2017080.
Shaopeng Cui, Xiao Luo, Chunwang Li, Huijian Hu, Zhigang Jiang (2018) Predicting the potential distribution of white-lipped deer using the MaxEnt model. Biodiversity Science, 26, 171-176. DOI: 10.17520/biods.2017080.
编码 Code | 描述 Description | 来源 Source |
---|---|---|
Bio4 | 气温季节变化 Temperature seasonality | WorldClim database Version 1.4 |
Bio12 | 年降水量 Annual precipitation | WorldClim database Version 1.4 |
NDVI_Summer | 夏季归一化植被指数 Normalized difference vegetation index in summer | Chinese Natural Resources Database |
Altitude | 海拔 Altitude | USGS’s Hydro-1K dataset |
Slope | 坡度 Slope | USGS’s Hydro-1K dataset |
HFI | 人类足迹指数 Human footprint influence | Last of the Wild Data Version 2 |
Stocking rate | 放牧强度 Stocking rate | Food and Agriculture Organization |
表1 预测白唇鹿潜在分布区时所用环境变量
Table 1 Environmental variables used to model the potential range of the white-lipped deer
编码 Code | 描述 Description | 来源 Source |
---|---|---|
Bio4 | 气温季节变化 Temperature seasonality | WorldClim database Version 1.4 |
Bio12 | 年降水量 Annual precipitation | WorldClim database Version 1.4 |
NDVI_Summer | 夏季归一化植被指数 Normalized difference vegetation index in summer | Chinese Natural Resources Database |
Altitude | 海拔 Altitude | USGS’s Hydro-1K dataset |
Slope | 坡度 Slope | USGS’s Hydro-1K dataset |
HFI | 人类足迹指数 Human footprint influence | Last of the Wild Data Version 2 |
Stocking rate | 放牧强度 Stocking rate | Food and Agriculture Organization |
图1 刀切法分析单个变量在建立分布模型时的重要性。对每个变量而言, 蓝色表示只用该变量时的模型“收益”; 绿色表示在移除该变量而使用其他变量建模时总体“收益”; 最下方红色条带表示所有变量进入模型后的收益结果。环境变量含义见表1。
Fig. 1 The Jackknife test for evaluating the relative importance of environmental variables in the development of the MaxEnt model. The blue bar shows the “total gain” achieved with the given predictor only. The green bar shows the “total gain” resulting from inclusion of all predictors except the given predictor. The bottom red bar shows the gain with all variables. For variable meanings, see Table 1.
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