Grainger Alan
School of Geography, University of Leeds, Leeds LS2 9JT, United Kingdom.
Proc Natl Acad Sci U S A. 2008 Jan 15;105(2):818-23. doi: 10.1073/pnas.0703015105. Epub 2008 Jan 9.
The long-term trend in tropical forest area receives less scrutiny than the tropical deforestation rate. We show that constructing a reliable trend is difficult and evidence for decline is unclear, within the limits of errors involved in making global estimates. A time series for all tropical forest area, using data from Forest Resources Assessments (FRAs) of the United Nations Food and Agriculture Organization, is dominated by three successively corrected declining trends. Inconsistencies between these trends raise questions about their reliability, especially because differences seem to result as much from errors as from changes in statistical design and use of new data. A second time series for tropical moist forest area shows no apparent decline. The latter may be masked by the errors involved, but a "forest return" effect may also be operating, in which forest regeneration in some areas offsets deforestation (but not biodiversity loss) elsewhere. A better monitoring program is needed to give a more reliable trend. Scientists who use FRA data should check how the accuracy of their findings depends on errors in the data.
与热带森林砍伐率相比,热带森林面积的长期趋势受到的关注较少。我们表明,在进行全球估计所涉及的误差范围内,构建可靠的趋势很困难,且面积下降的证据并不明确。利用联合国粮食及农业组织森林资源评估(FRA)的数据得出的所有热带森林面积的时间序列,主要呈现出三个相继修正的下降趋势。这些趋势之间的不一致引发了对其可靠性的质疑,特别是因为差异似乎同样源于误差,也源于统计设计的变化和新数据的使用。热带湿润森林面积的第二个时间序列没有显示出明显下降。后者可能被所涉及的误差掩盖,但也可能存在“森林恢复”效应,即某些地区的森林再生抵消了其他地区的森林砍伐(但不是生物多样性丧失)。需要一个更好的监测计划来给出更可靠的趋势。使用FRA数据的科学家应检查其研究结果的准确性如何取决于数据中的误差。