Protecting Rural Large Old Trees with Multi-Scale Strategies: Integrating Spatial Analysis and the Contingent Valuation Method (CVM) for Socio-Cultural Value Assessment

IF 2.4 2区 农林科学 Q1 FORESTRY Forests Pub Date : 2023-12-20 DOI:10.3390/f15010018
Na Yao, Chenxi Gu, Jinda Qi, Shigang Shen, Bo Nan, Hongjie Wang
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Abstract

Governments are faced with the unique challenge of implementing large-scale and targeted protection against the global decline of large old trees. Incorporating socio-cultural values and encouraging public involvement are important parts of conservation policy. However, current studies on the socio-cultural valuation of large old trees are still limited, and how rural residents perceive the human-related value of large old trees remains largely unknown. Using a quantitative, spatial analysis and the contingent valuation method (CVM), we tried to explore a multi-scale socio-cultural valuation and protection framework based on a case study of Baoding City and Xiongan New Area in North China. The results showed that (1) the scattered large old trees in the study area were generally at a relatively younger stage, showing normal growth performance but having poor living environments. Some 96.99% of the trees resided in the countryside. Their distribution showed an agglomerative pattern with several clusters. (2) The species richness was relatively lower than that reported in urban areas. The species diversity had an obvious high–low gradient from the mountain to plain areas. Most endemic species were found in habitats of the village fringe (VF) and government/community/institutional ground (GC). (3) The mean willingness to pay (WTP) for the socio-cultural value of scattered large old trees was CNY 132.48 per year per person (1 US dollar equals about 7.2 CNY) of all the respondents, and CNY 84.30 per year per person with regard to farmers, which is relatively higher than that reported in large cities. (4) Economic income, gender, age, education level, place of residence, diameter at breast height, and tree habitat were factors that significantly influenced the WTP, among which economic income was the most significant. (5) The importance ranking of socio-cultural value connotations perceived by rural residents was as follows: spiritual attachment and homesickness > fengshui > social bond > witnessing history > education > creative inspiration. (6) The annual gross value was estimated to be CNY 349 million in the study area, and CNY 169,500 for a single tree on average. Based on the case study, a conceptual framework for socio-cultural value assessment and multi-scale protection of large old trees was proposed, which can provide references for the improvement of current conservation policies from both quantitative and qualitative perspectives, and give insights into rural revitalization strategies in China.
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利用多尺度战略保护农村大型古树:整合空间分析和权变估值法(CVM)进行社会文化价值评估
针对全球大型古树名木减少的问题,各国政府面临着实施大规模和有针对性保护的独特挑战。纳入社会文化价值和鼓励公众参与是保护政策的重要组成部分。然而,目前有关大型古树名木社会文化价值的研究仍然有限,农村居民如何看待大型古树名木与人类相关的价值在很大程度上仍是未知数。我们以保定市和雄安新区为例,采用定量空间分析和或然估价法(CVM),尝试探索多尺度的社会文化估价和保护框架。研究结果表明:(1) 研究区内零星分布的大古树普遍处于相对年轻的阶段,生长表现正常,但生存环境恶劣。96.99%的古树生活在农村。它们的分布呈现出多个集群的聚集模式。(2) 树种丰富度相对低于城市地区。从山区到平原地区,物种多样性呈明显的高低梯度。(3) 所有受访者对散生大古树社会文化价值的平均支付意愿(WTP)为每人每年 132.48 元人民币(1 美元约合 7.2 元人民币),农民为每人每年 84.30 元人民币,相对高于大城市。(4) 经济收入、性别、年龄、受教育程度、居住地、胸径和树木生境是显著影响 WTP 的因素,其中经济收入影响最大。(5)农村居民感知的社会文化价值内涵的重要性排序为:精神依恋和乡愁 > 风水 > 社会纽带 > 历史见证 > 教育 > 创作灵感。(6) 据估计,研究区的年总产值为 3.49 亿元人民币,平均一棵树的年总产值为 16.95 万元人民币。基于该案例研究,提出了大古树社会文化价值评估和多尺度保护的概念框架,可从定量和定性两个角度为完善现行保护政策提供参考,并为中国的乡村振兴战略提供启示。
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来源期刊
Forests
Forests FORESTRY-
CiteScore
4.40
自引率
17.20%
发文量
1823
审稿时长
19.02 days
期刊介绍: Forests (ISSN 1999-4907) is an international and cross-disciplinary scholarly journal of forestry and forest ecology. It publishes research papers, short communications and review papers. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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