河南黄河流域关键保护野生树种保护空缺识别
收稿日期: 2024-04-08
修回日期: 2024-05-26
网络出版日期: 2024-12-24
基金资助
河南省科技攻关项目“河南黄河流域濒危树种保护空缺识别与保育关键技术研究”(222102110418)
Identification of Protection Gaps for Key Wild Tree Species in the Yellow River Basin of Henan Province
Received date: 2024-04-08
Revised date: 2024-05-26
Online published: 2024-12-24
河南黄河流域是重要的生物多样性保护热点地区,具有重要的自然保护价值。为识别出河南黄河流域关键保护野生树种的适宜生境和保护空缺区,基于MaxEnt优化模型,结合6个关键保护野生树种和46个环境因子,模拟测算其在基准时期(1970—2000年)及未来两个时期(2041—2060年,2081—2100年)3种气候情景下的潜在分布区,并结合区域自然保护地空间分布数据识别保护空缺区。结果表明,海拔和降水量季节性变化是影响关键保护野生树种地理分布的主导环境因子。2090时期(2081—2100年)SSP585气候情景下,关键保护野生树种的适宜生境面积较基准时期增加幅度最大,说明气温的变化显著影响研究区内关键保护野生树种的适生范围。现有自然保护地已覆盖70%的关键保护野生树种适宜生境,保护空缺核心区主要位于伊洛河流域的熊耳山脉及其与豫西伏牛山北麓二者之间的交错地带。研究结果可为河南黄河流域的生物多样性保护和自然保护地规划提供重要理论支持。
郭昊天 , 谢沛铮 , 陈晓蔚 , 周梦丽 , 靳姗姗 , 闫东锋 . 河南黄河流域关键保护野生树种保护空缺识别[J]. 林草资源研究, 2024 , 0(3) : 96 -105 . DOI: 10.13466/j.cnki.lczyyj.2024.03.012
The Yellow River basin in Henan Province is an important biodiversity protection hotspot with an important natural protection value.In order to identify the suitable habitats and protection gaps of key protected wild species in the Yellow River basin of Henan Province,this paper simulated and predicted the potential distribution areas of six key protected wild species and 46 environmental factors under three climate scenarios in the benchmark period(1970-2000)and two future periods(2041-2060,2081-2100)based on the MaxEnt optimization model,and identified the protection gaps based on the spatial distribution data of nature reserves.The results showed that the seasonal changes of altitude and precipitation were the dominant environmental factors affecting the geographical distribution of key protected wild species.In 2090 period(2081-2100),the suitable habitat area of key protected wild species increased the most under the SSP585 climate scenario compared to the benchmark period,indicating that temperature change significantly affects the suitable habitat range of key protected wild tree species within the research area.The existing nature reserves have covered 70% of the suitable habitats of key protected wild species,and the core area of protection gap was mainly located in the Xiong'er Mountains in the Yiluo River basin and the intersection between the Xiong'er Mountains and the northern foot of Funiushan Mountain in the west of Henan Province.This study provides important theoretical support for biodiversity protection and nature reserve planning in the Yellow River basin in Henan Province.
Key words: the Yellow River Basin; biodiversity; protection gaps; MaxEnt model; climate change
| [1] | AHMADI M, FARHADINIA M S, CUSHMAN S A, et al. Species and space:A combined gap analysis to guide management planning of conservation areas[J]. Landscape Ecology, 2020, 35(7):1505-1517. |
| [2] | XU Weihua, XIAO Yi, ZHANG Jingjing, et al. Strengthening protected areas for biodiversity and ecosystem services in China[J]. Proceedings of the National Academy of Sciences, 2017, 114(7):1601-1606. |
| [3] | 欧阳志云, 杜傲, 徐卫华. 中国自然保护地体系分类研究[J]. 生态学报, 2020, 40(20):7207-7215. |
| [4] | LIN Lele, HE Jian, LYU Rudan, et al. Targeted conservation management of white pines in China:Integrating phylogeographic structure,niche modeling,and conservation gap analyses[J]. Forest Ecology and Management, 2021, 492(6):119-211. |
| [5] | 刘艳, 杨钰爽. 生物多样性保护优先区对重庆苔藓植物多样性保护的重要性[J]. 生物多样性, 2019, 27(6):677-682. |
| [6] | YE Chao, LIU Huiyuan, QIN Haining, et al. Geographical distribution and conservation strategy of national key protected wild plants of China[J]. iScience, 2023, 26(8):107364. |
| [7] | LITKOWIEC M, LEWANDOWSKI A, WACHOWIAK W. Genetic variation in Taxus baccata L.:A case study supporting Poland’s protection and restoration program[J]. Forest Ecology and Management, 2018, 409:148-160. |
| [8] | ELITH J, PHILLIPS S J, HASTIE T, et al. A statistical explanation of MaxEnt for ecologists[J]. Diversity and Distributions, 2011, 17(1):43-57. |
| [9] | 王文波, 胡理乐, 布艾佳尔, 等. 应用MaxEnt模型对我国珍稀植物刺楸分布预测及其保护空缺分析[J]. 东北林业大学学报, 2022, 50(8):69-73. |
| [10] | WEN Cheng, GU Lei, WANG Hao, et al. GAP analysis on national nature reserves in China based on the distribution of endangered species[J]. Biodiversity Science, 2015, 23(5):591-600. |
| [11] | JENNINGS M D. Gap analysis:Concepts,methods,and recent results[J]. Landscape Ecology, 2000, 15(1):5-20. |
| [12] | 李慧, 滕皎, 殷晓洁, 等. 不同气候环境的中国珍稀濒危樟属乔木适生分布区模拟预测[J]. 东北林业大学学报, 2023, 51(2):43-53. |
| [13] | 马琪, 张园, 袁家根. 秦岭生物多样性优先区植物保护重要区识别与空缺分析[J]. 西北林学院学报, 2022, 37(2):180-185. |
| [14] | 秦艳培, 徐少君, 田耀武. 黄河流域河南段植被和土壤及其碳密度空间分异研究[J]. 生态环境学报, 2022, 31(9):1745-1753. |
| [15] | 翁梅, 孙静, 叶永忠. 河南省重点保护植物优先保护等级划分研究[J]. 河南农业科学, 2012, 41(1):129-133. |
| [16] | 张慧玲, 李春奇, 叶永忠, 等. 河南省国家重点保护植物地理分布特征[J]. 河南科学, 2006, 24(1):52-55. |
| [17] | 生态环境部, 中国科学院. 中国生物多样性红色名录:高等植物卷(2020)[EB/OL](2023-05-19)[2024-03-09]. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk01/202305/t20230522_1030745.html. |
| [18] | 丁宝章, 王遂义, 高增义. 河南植物志(第一册)[M]. 郑州: 河南人民出版社,1981. |
| [19] | 宋朝区, 瞿文元. 太行山猕猴自然保护区科学考察集[M]. 北京: 中国林业出版社,1995. |
| [20] | 叶永忠, 汪万森, 李合中. 河南小秦岭国家级自然保护区科学考察集[M]. 北京: 科学出版社, 2004. |
| [21] | 贾宏汝, 陈云, 张旭, 等. 小秦岭自然保护区秦岭冷杉死亡原因[J]. 生态学报, 2016, 36(7):1936-1945. |
| [22] | 魏振铎. 栾川县野生天竺桂资源保护初探[J]. 河南林业科技, 2010, 30(6):26-27. |
| [23] | 李艳红, 张立娟, 朱文博, 等. 全球变化背景下南方红豆杉地域分布变化[J]. 自然资源学报, 2021, 36(3):783-792. |
| [24] | 孔维尧, 李欣海, 邹红菲. 最大熵模型在物种分布预测中的优化[J]. 应用生态学报, 2019, 30(6):2116-2128. |
| [25] | 高蓓, 卫海燕, 郭彦龙, 等. 应用GIS和最大熵模型分析秦岭冷杉潜在地理分布[J]. 生态学杂志, 2015, 34(3):843-852. |
| [26] | 王书越, 潘少安, 王明睿, 等. 基于MaxEnt模型评估刺五加在东北地区的空间分布[J]. 生态学报, 2019, 39(9):3277-3286. |
| [27] | 施晨阳, 赖文峰, 文国卫, 等. 基于MaxEnt模型预测水曲柳的潜在适生区[J]. 西北林学院学报, 2022, 37(2):149-156. |
| [28] | 郑亚娇, 张沈安, 栾东涛, 等. 应用最大熵模型预测多脉青冈在不同时期的潜在分布[J]. 东北林业大学学报, 2024, 52(3):76-81. |
| [29] | 王义贵, 何学高, 胡云云, 等. 基于MaxEnt模型的大果圆柏生境适宜性评价[J]. 中南林业科技大学学报, 2023, 43(7):41-51. |
| [30] | 韦忆, 韦小丽, 王明彬, 等. 大气CO2浓度升高对红豆树苗木光合生理和形态的影响[J]. 南京林业大学学报(自然科学版), 2023, 47(6):124-132. |
| [31] | LIU Zhouli, CHEN Wei, HE Xingyuan, et al. Regulatory effects of elevated carbon dioxide on growth and biochemical responses to Ozone stress in Chinese Pine(Pinus tabulaeformis Carr.)[J]. Bulletin of Environmental Contamination and Toxicology, 2016, 97(6):793-797. |
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