Global satellite monitoring of climate-induced vegetation disturbances

被引:181
|
作者
McDowell, Nate G. [1 ]
Coops, Nicholas C. [2 ]
Beck, Pieter S. A. [3 ]
Chambers, Jeffrey Q. [4 ]
Gangodagamage, Chandana [1 ]
Hicke, Jeffrey A. [5 ]
Huang, Cho-ying [6 ]
Kennedy, Robert [7 ]
Krofcheck, Dan J. [8 ]
Litvak, Marcy [8 ]
Meddens, Arjan J. H. [5 ]
Muss, Jordan [1 ]
Negron-Juarez, Robinson [4 ]
Peng, Changhui [9 ,10 ]
Schwantes, Amanda M. [11 ]
Swenson, Jennifer J. [11 ]
Vernon, Louis J. [1 ]
Williams, A. Park [12 ]
Xu, Chonggang [1 ]
Zhao, Maosheng [13 ]
Running, Steve W. [14 ]
Allen, Craig D. [15 ]
机构
[1] Los Alamos Natl Lab, Div Earth & Environm Sci, Los Alamos, NM 87545 USA
[2] Univ British Columbia, Fac Forestry, Vancouver, BC V6T 1Z4, Canada
[3] European Commiss, Joint Res Ctr, Inst Environm & Sustainabil, I-21027 Ispra, VA, Italy
[4] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA 94720 USA
[5] Univ Idaho, Dept Geog, Moscow, ID 83844 USA
[6] Natl Taiwan Univ, Dept Geog, Taipei 10617, Taiwan
[7] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA
[8] Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
[9] Univ Quebec, Dept Biol Sci, Ctr CEF ESCER, Montreal, PQ H3C 3P8, Canada
[10] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China
[11] Duke Univ, Nicholas Sch Environm, Durham, NC 27708 USA
[12] Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA
[13] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[14] Univ Montana, Dept Ecosyst & Conservat Sci, Missoula, MT 59812 USA
[15] US Geol Survey, Ft Collins Sci Ctr, Jemez Mt Field Stn, Los Alamos, NM 87544 USA
基金
美国国家科学基金会;
关键词
climate change; die-off; drought; forests; landscape; mortality; satellite; MOUNTAIN PINE-BEETLE; LAND-COVER CHANGE; TREE MORTALITY; BARK BEETLE; FOREST DISTURBANCE; POTENTIAL DISTRIBUTION; MULTITEMPORAL ANALYSIS; POPULATION-DYNAMICS; TEMPORAL PATTERNS; CARBON STOCKS;
D O I
10.1016/j.tplants.2014.10.008
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Terrestrial disturbances are accelerating globally, but their full impact is not quantified because we lack an adequate monitoring system. Remote sensing offers a means to quantify the frequency and extent of disturbances globally. Here, we review the current application of remote sensing to this problem and offer a framework for more systematic analysis in the future. We recommend that any proposed monitoring system should not only detect disturbances, but also be able to: identify the proximate cause(s); integrate a range of spatial scales; and, ideally, incorporate process models to explain the observed patterns and predicted trends in the future. Significant remaining challenges are tied to the ecology of disturbances. To meet these challenges, more effort is required to incorporate ecological principles and understanding into the assessments of disturbance worldwide.
引用
收藏
页码:114 / 123
页数:10
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