连续覆盖林业与遥感:知识缺口、挑战和潜在方向综述

IF 9 1区 农林科学 Q1 FORESTRY
Jaz Stoddart, Juan Suarez, William Mason, Ruben Valbuena
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引用次数: 0

摘要

连续覆盖林业(CCF)是一种可持续的林业管理方法,它通过操纵林分形成具有不同物种组成的不规则林分结构。这种方法与传统的以人工林为基础的林业方法有很大的不同,传统的林业方法保持统一的单一栽培,因此,传统的评估方法,例如生产力(产量等级)的计算,不太适用。这就需要确定新方法来取代旧方法,并用于林业业务和研究。通过将遥感技术应用于CCF,有可能为采用CCF带来的挑战找到新的解决办法。最近的发现在过去十年中,关于遥感在CCF中的应用发表的工作数量有限。研究的主要特征是利用地面和空中数据收集技术,探索不同的方法来量化CCF的目标状态,并监测林分结构复杂程度在向CCF转变过程中的指标。我们确定了与CCF相关的一系列挑战,并概述了当前研究中需要进一步调查的突出差距,包括需要开发使用遥感技术的新清单方法。我们确定了可以应用于其他复杂、异质森林系统CCF的方法,如单个树模型,并建议更广泛地采用遥感,包括相关方的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Continuous Cover Forestry and Remote Sensing: A Review of Knowledge Gaps, Challenges, and Potential Directions

Purpose of Review

Continuous cover forestry (CCF) is a sustainable management approach for forestry in which forest stands are manipulated to create irregular stand structures with varied species composition. This approach differs greatly from the traditional approaches of plantation-based forestry, in which uniform monocultures are maintained, and thus, traditional methods of assessment, such as productivity (yield class) calculations, are less applicable. This creates a need to identify new methods to succeed the old and be of use in operational forestry and research. By applying remote sensing techniques to CCF, it may be possible to identify novel solutions to the challenges introduced through the adoption of CCF.

Recent Findings

There has been a limited amount of work published on the applications of remote sensing to CCF in the last decade. Research can primarily be characterised as explorations of different methods to quantify the target state of CCF and monitor indices of stand structural complexity during transformation to CCF, using terrestrial and aerial data collection techniques.

Summary

We identify a range of challenges associated with CCF and outline the outstanding gaps within the current body of research in need of further investigation, including a need for the development of new inventory methods using remote sensing techniques. We identify methods, such as individual tree models, that could be applied to CCF from other complex, heterogenous forest systems and propose the wider adoption of remote sensing including information for interested parties to get started.

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来源期刊
Current Forestry Reports
Current Forestry Reports Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
15.90
自引率
2.10%
发文量
22
期刊介绍: Current Forestry Reports features in-depth review articles written by global experts on significant advancements in forestry. Its goal is to provide clear, insightful, and balanced contributions that highlight and summarize important topics for forestry researchers and managers. To achieve this, the journal appoints international authorities as Section Editors in various key subject areas like physiological processes, tree genetics, forest management, remote sensing, and wood structure and function. These Section Editors select topics for which leading experts contribute comprehensive review articles that focus on new developments and recently published papers of great importance. Moreover, an international Editorial Board evaluates the yearly table of contents, suggests articles of special interest to their specific country or region, and ensures that the topics are up-to-date and include emerging research.
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