Pan‐tropical hinterland forests: mapping minimally disturbed forests
Pan‐tropical hinterland forests: mapping minimally disturbed forests
复制标题
泛热带腹地森林：绘制受干扰最小的森林地图
DOI：
10.1111/geb.12394
复制
发表时间：
2016
影响因子：
6.4
通讯作者：
S. Goetz
中科院分区：
文献类型：
--
作者：
A. Tyukavina;M. Hansen;P. Potapov;A. Krylov;S. Goetz
目的
由于选择性砍伐、破碎化和其他干扰因素，热带森林退化是碳排放的一个重要来源。然而，绘制和监测泛热带森林退化的方法仍处于初级阶段。在这里，我们提出了一种新的和自动化的方法来区分森林可能会受到退化动态的影响，从结构上完整的森林，被称为腹地森林。
位置
泛热带
方法
内地森林测绘所需的投入包括最初森林覆盖的范围和随后的森林覆盖损失数据，在这种情况下，是全球范围的大地卫星衍生的树木覆盖和林分替换干扰图。用于生成腹地森林范围和变化的用户定义参数包括：（1）腹地森林斑块的最小尺寸，（2）最小廊道宽度，（3）距干扰的距离，和（4）现存历史。
结果
利用2000年至2012年的森林覆盖损失数据绘制了腹地森林范围，并对2007年至2013年的腹地森林损失进行了量化。激光雷达模拟的森林高度数据在内陆森林内外显示出不同，表明了内陆概念在区分可能的退化方面的生物物理基础。总体而言，内陆森林从2007年到2013年下降了18%。内陆森林面积和损失的区域差异很大。关于2013年泛热带内地森林面积的数据可从http://glad.geog.umd.edu/hinterland/index.html下载，也可在http://earthenginepartners.appspot.com/science-2013-global-forest在线查看。
主要结论
内陆森林和内陆森林损失最大的地区是拉丁美洲，其次分别是非洲和东南亚。内陆森林损失比例最高的是东南亚，其次分别是非洲和拉丁美洲。2013年所有内陆森林中有近95%位于研究的69个热带森林国家中的17个。内陆森林的范围和损失可以作为对侧重于森林碳储量、生物多样性养护和其他生态系统服务的国家监测和管理方案的投入。
Aim
Tropical forest degradation is a significant source of carbon emissions due to selective logging, fragmentation and other disturbance factors. However, methods for mapping and monitoring pan-tropical forest degradation are still in their infancy. Here we present a new and automated approach to differentiate forests likely to be affected by degradation dynamics from more structurally intact forests, referred to as hinterland forests.
Location
Pan-tropical.
Methods
Inputs required for hinterland forest mapping include the extent of the initial forest cover and subsequent forest cover loss data, in this case global-scale Landsat-derived tree cover and stand-replacement disturbance maps. User-defined parameters employed to generate the extent and change of hinterland forest include: (1) minimum size of hinterland forest patch, (2) minimum corridor width, (3) distance from disturbance, and (4) extant history.
Results
Hinterland forest extent was mapped using forest cover loss data from 2000 to 2012 and hinterland forest loss was quantified from 2007 to 2013. Lidar-modelled forest height data were shown to be different within and outside hinterland forests, demonstrating the biophysical basis of the hinterland concept in discriminating likely degradation. Overall, hinterland forests experienced an 18% decline from 2007 to 2013. Regional variation in hinterland forest extent and loss was high. Data on 2013 pan-tropical hinterland forest extent can be downloaded from http://glad.geog.umd.edu/hinterland/index.html and viewed online at http://earthenginepartners.appspot.com/science-2013-global-forest.
Main conclusions
The largest extent of hinterland forests and of hinterland forest loss was found in Latin America, followed by Africa and Southeast Asia, respectively. The highest proportional loss of hinterland forest occurred in Southeast Asia, followed by Africa and Latin America, respectively. Nearly 95% of all 2013 hinterland forests were found in 17 of the 69 tropical forest countries studied. The extent and loss of hinterland forest can be an input to national monitoring and management programmes focused on forest carbon stocks, biodiversity conservation and other ecosystem services.