Forest landscape patterns shaped by interactions between wildfire and sudden oak death disease

被引:17
作者
He, Yinan [1 ]
Chen, Gang [1 ]
Cobb, Richard C. [2 ]
Zhao, Kaiguang [3 ,4 ]
Meentemeyer, Ross K. [5 ,6 ]
机构
[1] Univ North Carolina Charlotte, Dept Geog & Earth Sci, Lab Remote Sensing & Environm Change LRSEC, Charlotte, NC 28223 USA
[2] Calif Polytech State Univ San Luis Obispo, Dept Nat Resources & Environm Sci, San Luis Obispo, CA 93407 USA
[3] Ohio State Univ, Environm Sci Grad Program, Sch Environm & Nat Resources, Columbus, OH 43210 USA
[4] Ohio State Univ, Ohio Agr Res & Dev Ctr, Sch Environm & Nat Resources, Wooster, OH 44691 USA
[5] North Carolina State Univ, Ctr Geospatial Analyt, Raleigh, NC USA
[6] North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC USA
基金
美国国家科学基金会;
关键词
Emerging infectious disease; Landscape epidemiology; Satellite remote sensing; Forest fragmentation; Disturbance interaction; Sudden oak death; MOUNTAIN PINE-BEETLE; INDUCED TREE MORTALITY; PHYTOPHTHORA-RAMORUM; BURN SEVERITY; FIRE SEVERITY; CLIMATE-CHANGE; OUTBREAKS; DYNAMICS; DISTURBANCE; CALIFORNIA;
D O I
10.1016/j.foreco.2021.118987
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Forest ecosystems are increasingly affected by a range of tree mortality events, which may permanently alter forest functional traits and disrupt their ecosystem services. While individual forest disturbances are well studied, interactions between multiple disturbances and changes of spatial patterns of forested landscapes are rarely quantified. In this study, we aim to analyze the role of wildfire in the Big Sur ecoregion of California on the spread of Phytophthora ramorum, an invasive pathogen which causes sudden oak death, the most important driver of mortality across 1000 km of coastal, fire-prone mixed conifer, evergreen hardwood, and woodlands. We investigated two questions specific to the impacts of these disturbances at the landscape scale: (i) did rates of P. ramorum caused tree mortality change after wildfire? (ii) Following the wildfire, to what degree did the continued disease-driven mortality alter forest distribution? To answer these questions, we analyzed remote-sensing-derived products of post-fire burn severity and maps of disease-driven tree mortality. Quantification of burn severity and post fire disease mortality for the burned and unburned areas provided reference conditions for statistical hypothesis tests. The results from statistical and three landscape pattern analyses (area, shape, and isolation) suggest a significant role of wildfire in the reemergence of this invasive pathogen. First, rates of disease caused mortality after wildfire was negatively associated with burn severity suggesting some fire-driven containment of disease during post-fire forest recovery. Second, disease was positively correlated with the distance to fire boundary in unburned areas suggesting the effects of fire on disease extended into unburned areas while attenuating with distance from the burn. Lastly, wildfire reduced area, edge density and isolation of healthy tree patches and these effects did not recover to pre-fire levels for any of the three metrics after eight years of vegetation recovery. Given the widespread prevalence of disease-driven mortality, the importance and frequency of fire, as well as the naturalization of Phytophthora ramorum across a broad geographic area, these fire-disease interactions have potential to shape forest structure and disease dynamics across millions of acres of forested wildlands in California and Oregon.
引用
收藏
页数:10
相关论文
共 79 条
[61]   Wildfire provides refuge from local extinction but is an unlikely driver of outbreaks by mountain pine beetle [J].
Powell, Erinn N. ;
Townsend, Philip A. ;
Raffa, Kenneth F. .
ECOLOGICAL MONOGRAPHS, 2012, 82 (01) :69-84
[62]   Analysis and out-year forecast of beetle, borer, and drought-induced tree mortality in California [J].
Preisler, Haiganoush K. ;
Grulke, Nancy E. ;
Heath, Zachary ;
Smith, Sheri L. .
FOREST ECOLOGY AND MANAGEMENT, 2017, 399 :166-178
[63]  
R. Core Team, 2019, R: A language and environment for statistical computing
[64]  
Rabaglia Robert J., 2019, American Entomologist, V65, P29, DOI 10.1093/ae/tmz015
[65]   Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR [J].
Richardson, Jeffrey J. ;
Moskal, L. Monika .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (10) :2640-2651
[66]   The impact of forest disturbances on residual biomass supply: A long-term forest level analysis [J].
Rijal, Baburam ;
Gautam, Shuva H. ;
LeBel, Luc .
JOURNAL OF CLEANER PRODUCTION, 2020, 248
[67]   Phytophthora ramorum:: Integrative research and management of an emerging pathogen in California and Oregon forests [J].
Rizzo, DM ;
Garbelotto, M ;
Hansen, EA .
ANNUAL REVIEW OF PHYTOPATHOLOGY, 2005, 43 :309-335
[68]   Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models [J].
Roberts, DA ;
Gardner, M ;
Church, R ;
Ustin, S ;
Scheer, G ;
Green, RO .
REMOTE SENSING OF ENVIRONMENT, 1998, 65 (03) :267-279
[69]   Resistance, Resilience or Change: Post-disturbance Dynamics of Boreal Forests After Insect Outbreaks [J].
Sanchez-Pinillos, Martina ;
Leduc, Alain ;
Ameztegui, Aitor ;
Kneeshaw, Daniel ;
Lloret, Francisco ;
Coll, Lluis .
ECOSYSTEMS, 2019, 22 (08) :1886-1901
[70]   Novel disturbance interactions between fire and an emerging disease impact survival and growth of resprouting trees [J].
Simler, Allison B. ;
Metz, Margaret R. ;
Frangioso, Kerri M. ;
Meentemeyer, Ross K. ;
Rizzo, David M. .
ECOLOGY, 2018, 99 (10) :2217-2229