Strategic expansion of existing forest monitoring plots: a case study using a stratified GIS-based modelling approach

IF 1.5 4区 农林科学 Q2 FORESTRY
T. Le, J. Morgenroth
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引用次数: 0

Abstract

Background: Understanding the relationship between sites and the plant species they support is essential for effective vegetation management. Site-species matching requires knowledge of the growth response of a given species to the full range of environmental conditions in potential planting sites. This can be achieved by repeatedly measuring species growth at a comprehensive network of sample plots that cover a range of environmental conditions, including topography, climate, and soil factors. The New Zealand Dryland Forests Initiative has established permanent sample plots (PSPs) of a plantation species, Eucalyptus bosistoana F.Muell., across New Zealand. However, these PSPs do not cover the entire range of environmental conditions available for the species and hence there is a need to expand the network of sites. The aim of this study was to determine optimal locations for new PSPs to provide more unique information to support site-species matching studies for Eucalyptus bosistoana in New Zealand.Methods: A geographic information system (GIS) and stratified random sampling method were used to generate a model to identify optimal locations for E. bosistoana PSP establishment. The variables used in this study included topography, climate, and soil data. Redundancy between the initial set of potential explanatory variables was reduced by a multi-collinearity analysis. The potential habitat for the species was restricted to land with environmental conditions that could support E. bosistoana. All environmental variables were stratified and an initial priority index for each stratum in each variable was calculated. Then a weighted-overlay analysis was conducted to create the final priority index, which was mapped to identify high-priority areas for targeted PSP expansion.Results: The existing PSP network for E. bosistoana generally covers the environmental conditions in low-elevation New Zealand dry lands, which are located alongside the east coast of the South Island, and the southern part of the North Island. The model identified high priority areas for PSP expansion, including several large regions in the North Island, especially in Rangitikei and Taupo Districts.Conclusions: The model successfully allowed identification of areas for a strategic expansion of permanent sample plots for E. bosistoana. Newly identified areas expand upon the topographic, climatic, and soil conditions represented by the existing PSP network. The new area for PSP expansion has potential to provide valuable information for further site-species matching studies. The methodology in this paper has potential to be used for other plot networks of a different species, or even natural forests.
现有森林监测点的战略性扩展:使用基于GIS的分层建模方法的案例研究
背景:了解场地和它们所支持的植物物种之间的关系对于有效的植被管理至关重要。场地物种匹配需要了解给定物种对潜在种植场地的全方位环境条件的生长反应。这可以通过在覆盖一系列环境条件(包括地形、气候和土壤因素)的综合样地网络中反复测量物种生长来实现。新西兰旱地森林倡议在新西兰各地建立了一个种植园物种bosistoana F.Muell桉树的永久样地。然而,这些PSP并没有涵盖该物种可用的所有环境条件,因此有必要扩大站点网络。本研究的目的是确定新PSP的最佳位置,以提供更多独特的信息来支持新西兰波氏桉的站点物种匹配研究。方法:使用地理信息系统(GIS)和分层随机抽样方法生成一个模型,以确定波氏桉PSP建立的最佳位置。本研究中使用的变量包括地形、气候和土壤数据。通过多重共线性分析,减少了最初一组潜在解释变量之间的冗余。该物种的潜在栖息地被限制在环境条件可以支持E.bosistoana的土地上。对所有环境变量进行分层,并计算每个变量中每个阶层的初始优先级指数。然后进行加权叠加分析以创建最终优先级指数,该指数被映射以确定PSP扩展的高优先级区域。结果:现有的E.bosistoana PSP网络通常覆盖新西兰低海拔旱地的环境条件,这些旱地位于南岛东海岸和北岛南部。该模型确定了PSP扩展的高度优先区域,包括北岛的几个大区域,特别是Rangitikei和Taupo区。结论:该模型成功地确定了E.bosistoana永久性样地的战略扩展区域。新确定的区域扩展了现有PSP网络所代表的地形、气候和土壤条件。PSP扩展的新区域有可能为进一步的站点物种匹配研究提供有价值的信息。本文的方法有可能用于不同物种的其他地块网络,甚至天然林。
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来源期刊
CiteScore
2.20
自引率
13.30%
发文量
20
审稿时长
39 weeks
期刊介绍: The New Zealand Journal of Forestry Science is an international journal covering the breadth of forestry science. Planted forests are a particular focus but manuscripts on a wide range of forestry topics will also be considered. The journal''s scope covers forestry species, which are those capable of reaching at least five metres in height at maturity in the place they are located, but not grown or managed primarily for fruit or nut production.
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