How Nature Reserve Policies in China Support Local and Peripheral Biodiversity: Evidence from the INVEST-SDID Model

IF 1.9 4区 社会学 Q3 ENVIRONMENTAL STUDIES
Daozheng Li, Diling Liang, Weifeng Deng, Guoen Wei, Tongning Li
{"title":"How Nature Reserve Policies in China Support Local and Peripheral Biodiversity: Evidence from the INVEST-SDID Model","authors":"Daozheng Li,&nbsp;Diling Liang,&nbsp;Weifeng Deng,&nbsp;Guoen Wei,&nbsp;Tongning Li","doi":"10.1007/s12061-025-09694-y","DOIUrl":null,"url":null,"abstract":"<div><p>Biodiversity loss is a critical challenge globally, and protected areas (PAs) has been established as an important policy tool for conservation. However, doubts exist regarding their effectiveness, and their policy effects and spatial spillover effects on surrounding areas are poorly understood. To address this, this study evaluated the effectiveness of Heilongjiang Nanwenghe National Nature Reserve (HNNNR) in China by using a combination of InVEST model, the DID and SDID models. The study covers a time span of approximately 31 years (1990–2020) and is divided into two periods (1990–1999 and 1999–2020), which allows for the assessment of the effects of nature reserves in the region. First, based on remote sensing techniques and InVEST model, we assessed the habitat quality in HNNNR and Non-reserve. Then, we implemented the DID model to evaluate the policy effects of HNNNR. Finally, with the existence of spatial spillover effects proven by the spatial econometric model, we adopted and improved the SDID model. This was adopted to evaluate the policy effects and spatial spillover effects of the establishment of HNNNR on the surrounding area and itself. We compared the results of the DID and SDID models and found that: (1) The establishment of the Heilongjiang Nanwenghe National Nature Reserve (HNNNR) has improved habitat quality both inside and outside the reserve, and the cumulative improvement in habitat quality is greater in the non-reserve area than within the reserve itself; (2) The core zone within the reserve showed the most significant improvement in habitat quality, while the buffer zone showed the least improvement; (3) The improvement of habitat quality in non-reserve was contributed by the policy spatial spillover effects, where the buffer zone has the strongest spillover benefits to the non-reserve, but the core zone has the weakest spillover effects to the non-reserve. Our results show the beneficial impact of a nature reserve for improving habitat quality in and around the nature reserve. This study provides a quantitative paradigm for assessing the conservation effectiveness of PAs across temporal and spatial scales. As an improved model, this would be pivotal for decision-makers in the management of existing PAs and the establishment of new PAs in future.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-025-09694-y","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0

Abstract

Biodiversity loss is a critical challenge globally, and protected areas (PAs) has been established as an important policy tool for conservation. However, doubts exist regarding their effectiveness, and their policy effects and spatial spillover effects on surrounding areas are poorly understood. To address this, this study evaluated the effectiveness of Heilongjiang Nanwenghe National Nature Reserve (HNNNR) in China by using a combination of InVEST model, the DID and SDID models. The study covers a time span of approximately 31 years (1990–2020) and is divided into two periods (1990–1999 and 1999–2020), which allows for the assessment of the effects of nature reserves in the region. First, based on remote sensing techniques and InVEST model, we assessed the habitat quality in HNNNR and Non-reserve. Then, we implemented the DID model to evaluate the policy effects of HNNNR. Finally, with the existence of spatial spillover effects proven by the spatial econometric model, we adopted and improved the SDID model. This was adopted to evaluate the policy effects and spatial spillover effects of the establishment of HNNNR on the surrounding area and itself. We compared the results of the DID and SDID models and found that: (1) The establishment of the Heilongjiang Nanwenghe National Nature Reserve (HNNNR) has improved habitat quality both inside and outside the reserve, and the cumulative improvement in habitat quality is greater in the non-reserve area than within the reserve itself; (2) The core zone within the reserve showed the most significant improvement in habitat quality, while the buffer zone showed the least improvement; (3) The improvement of habitat quality in non-reserve was contributed by the policy spatial spillover effects, where the buffer zone has the strongest spillover benefits to the non-reserve, but the core zone has the weakest spillover effects to the non-reserve. Our results show the beneficial impact of a nature reserve for improving habitat quality in and around the nature reserve. This study provides a quantitative paradigm for assessing the conservation effectiveness of PAs across temporal and spatial scales. As an improved model, this would be pivotal for decision-makers in the management of existing PAs and the establishment of new PAs in future.

中国自然保护区政策如何支持地方和周边生物多样性:来自INVEST-SDID模型的证据
生物多样性丧失是全球面临的严峻挑战,保护区已成为保护生物多样性的重要政策工具。但其有效性尚存疑问,其政策效应和对周边地区的空间溢出效应尚不清楚。为此,本研究采用InVEST模型、DID模型和SDID模型相结合的方法,对黑龙江省南瓮河国家级自然保护区(HNNNR)的有效性进行了评价。该研究涵盖了大约31年的时间跨度(1990-2020年),分为两个时期(1990-1999年和1999-2020年),可以评估该地区自然保护区的影响。首先,基于遥感技术和InVEST模型,对HNNNR和非保护区的生境质量进行了评价。在此基础上,我们运用DID模型来评估HNNNR的政策效果。最后,在空间计量模型证明空间溢出效应存在的基础上,采用并改进了SDID模型。并以此为基础,评价了建立城市自然保护区对周边地区和自身的政策效应和空间溢出效应。结果表明:(1)黑龙江省南翁河国家级自然保护区(HNNNR)的建立改善了保护区内外的生境质量,且非保护区的生境质量累积改善幅度大于保护区内;(2)保护区内核心区生境质量改善最显著,缓冲区生境质量改善最不显著;③非保护区生境质量的改善主要得益于政策空间溢出效应,其中缓冲区对非保护区的溢出效应最强,而核心区对非保护区的溢出效应最弱。我们的研究结果显示了自然保护区对改善自然保护区及其周边栖息地质量的有益影响。本研究为评估保护区在时空尺度上的保护效果提供了一个定量范式。作为一种改进的模式,这对决策者管理现有的考绩点和今后设立新的考绩点至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
期刊介绍: Description The journal has an applied focus: it actively promotes the importance of geographical research in real world settings It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace. RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts  Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.   FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.   Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信