扎格罗斯森林的保护政策和森林转型:对人类福祉、生物物理和气候驱动因素的统计分析

IF 4 2区 农林科学 Q1 ECONOMICS
Hadi Beygi Heidarlou , Asma Karamat Mirshekarlou , David Lopez-Carr , Stelian Alexandru Borz
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引用次数: 0

摘要

迫切需要了解森林植被变化(FCC)的模式,以支持旨在实现长期可持续森林管理的政府政策。扎格罗斯森林(Zagros forests,ZFs)占伊朗土地总面积的 3.5%,由于要与森林丧失作斗争,因此一直在实施保护政策。然而,人们对这些策略的效果知之甚少,有关扎格罗斯森林动态的大部分信息都依赖于官方数据,而这些数据可能既少又不可靠。因此,为了满足国际社会对信息透明度的要求,我们比以往任何时候都更需要准确的统计数据。如果在这些政策的实施过程中出现了积极或消极的变化,就必须评估这些变化在多大程度上是由哪些驱动因素造成的。我们以伊朗最重要的保护政策之一的实施为背景,评估了 2002 年至 2022 年间 ZF 的森林覆盖模式。此外,我们还评估了森林动态与气候变化主要变量之间的关系。为此,我们使用大地遥感卫星数据和谷歌地球引擎平台计算了 11 个省 61 个县的 ZF 覆盖动态。结果表明,在实施保护政策 20 年后,ZF 覆盖率增加了 0.53%。在研究期间,人类发展指数(HDI)和基尼系数的变化在 95% 的置信水平下显著,人类发展指数与森林恢复(R = 0.151)和森林砍伐(R = -0.190)在 95% 的置信水平下显著相关。在县一级,ZF 的变化与森林距离、道路、降水量和坡度有显著关系。除本研究涉及的变量外,保护战略也对 ZF 的恢复起到了积极作用。研究结果有助于澄清森林覆盖率的变化和数量,并对集中精力提高当地人民的社会经济地位和保护森林产生全球性影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Conservation policy and forest transition in Zagros forests: Statistical analysis of human welfare, biophysical, and climate drivers

Conservation policy and forest transition in Zagros forests: Statistical analysis of human welfare, biophysical, and climate drivers

Understanding patterns in forest cover change (FCC) is urgently needed to support government policies aimed at long-term sustainable forest management. Because of the struggle against forest loss, the Zagros forests (ZFs), which cover 3.5% of Iran's total land area, have been subjected to conservation policies. However, little is known about the efficacy of these strategies, and most information about dynamics of the ZFs is dependent on official data, which can be scant and unreliable. Therefore, the need for accurate statistics is felt more than ever in response to the requirements of international requests for information transparency. If positive or negative changes are recorded during the implementation of these policies, it is essential to assess the extent to which drivers were responsible for these changes. We assess the patterns of forest cover in the ZFs between 2002 and 2022 in the context of the implementation of one of Iran's most significant conservation policies. Furthermore, an evaluation of how forest dynamics relate to the main variables of FCC is performed. For this purpose, we used Landsat data and Google Earth Engine platform to calculate ZF cover dynamics for 61 counties in 11 provinces. Findings indicate that after 20 years of implementing conservation policies, the ZF cover has increased by 0.53%. Changes in the Human Development Index (HDI) and Gini indices were significant during the study period at the 95% confidence level, and the HDI demonstrated a significant correlation with Forest recovery (R = 0.151) and deforestation (R = −0.190) at the 95% confidence level. Changes in ZF have a significant relationship with distance from forests, roads, precipitation, and slope at the county level. In addition to the variables addressed in this research, conservation strategy played a positive role on ZF recovery. Findings can help clarify the changes and amount of forest cover, and have global consequences for concentrating more on improving the socioeconomic status of local people and conserving forests.

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来源期刊
Forest Policy and Economics
Forest Policy and Economics 农林科学-林学
CiteScore
9.00
自引率
7.50%
发文量
148
审稿时长
21.9 weeks
期刊介绍: Forest Policy and Economics is a leading scientific journal that publishes peer-reviewed policy and economics research relating to forests, forested landscapes, forest-related industries, and other forest-relevant land uses. It also welcomes contributions from other social sciences and humanities perspectives that make clear theoretical, conceptual and methodological contributions to the existing state-of-the-art literature on forests and related land use systems. These disciplines include, but are not limited to, sociology, anthropology, human geography, history, jurisprudence, planning, development studies, and psychology research on forests. Forest Policy and Economics is global in scope and publishes multiple article types of high scientific standard. Acceptance for publication is subject to a double-blind peer-review process.
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