Evaluating the Impact of Abrupt Changes in Forest Policy and Management Practices on Landscape Dynamics: Analysis of a Landsat Image Time Series in the Atlantic Northern Forest

被引:23
|
作者
Legaard, Kasey R. [1 ]
Sader, Steven A. [1 ]
Simons-Legaard, Erin M. [1 ]
机构
[1] Univ Maine, Sch Forest Resources, Orono, ME 04469 USA
来源
PLOS ONE | 2015年 / 10卷 / 06期
关键词
UNITED-STATES; ROBUST PCA; HARVEST; PATTERNS; COVER; DISTURBANCE; PROGRAM; LEGACIES; REGIMES; TRENDS;
D O I
10.1371/journal.pone.0130428
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Sustainable forest management is based on functional relationships between management actions, landscape conditions, and forest values. Changes in management practices make it fundamentally more difficult to study these relationships because the impacts of current practices are difficult to disentangle from the persistent influences of past practices. Within the Atlantic Northern Forest of Maine, U.S.A., forest policy and management practices changed abruptly in the early 1990s. During the 1970s-1980s, a severe insect outbreak stimulated salvage clearcutting of large contiguous tracts of spruce-fir forest. Following clearcut regulation in 1991, management practices shifted abruptly to near complete dependence on partial harvesting. Using a time series of Landsat satellite imagery (1973-2010) we assessed cumulative landscape change caused by these very different management regimes. We modeled predominant temporal patterns of harvesting and segmented a large study area into groups of landscape units with similar harvest histories. Time series of landscape composition and configuration metrics averaged within groups revealed differences in landscape dynamics caused by differences in management history. In some groups (24% of landscape units), salvage caused rapid loss and subdivision of intact mature forest. Persistent landscape change was created by large salvage clearcuts (often averaging > 100 ha) and conversion of spruce-fir to deciduous and mixed forest. In groups that were little affected by salvage (56% of landscape units), contemporary partial harvesting caused loss and subdivision of intact mature forest at even greater rates. Patch shape complexity and edge density reached high levels even where cumulative harvest area was relatively low. Contemporary practices introduced more numerous and much smaller patches of stand-replacing disturbance (typically averaging <15 ha) and a correspondingly large amount of edge. Management regimes impacted different areas to different degrees, producing different trajectories of landscape change that should be recognized when studying the impact of policy and management practices on forest ecology.
引用
收藏
页数:24
相关论文
共 17 条
  • [1] A spatial and temporal analysis of forest dynamics using Landsat time-series
    Nguyen, Trung H.
    Jones, Simon D.
    Soto-Berelov, Mariela
    Haywood, Andrew
    Hislop, Samuel
    REMOTE SENSING OF ENVIRONMENT, 2018, 217 : 461 - 475
  • [2] Analysis of Riparian Forest Buffers Dynamics in Colombian Basins by Landsat Time Series
    Leonairo Pencue-Fierro, Edgar
    Tatiana Solano-Correa, Yady
    Carlos Corrales-Munoz, Juan
    Figueroa-Casas, Apolinar
    2017 9TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP), 2017,
  • [3] Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability
    Zhang, Yue
    Liu, Xiangnan
    Yang, Qin
    Liu, Zhaolun
    Li, Yu
    REMOTE SENSING, 2021, 13 (19)
  • [4] Analysis of trends and changes in the successional trajectories of tropical forest using the Landsat NDVI time series
    Berveglieri, Adilson
    Imai, Nilton N.
    Christovam, Luiz E.
    Galo, Maria L. B. T.
    Tommaselli, Antonio M. G.
    Honkavaara, Eija
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2021, 24
  • [5] Mapping Forest Abrupt Disturbance Events in Southeastern China-Comparisons and Tradeoffs of Landsat Time Series Analysis Algorithms
    Ding, Ning
    Li, Mingshi
    REMOTE SENSING, 2023, 15 (22)
  • [6] TRAJECTORY ANALYSIS OF FOREST CHANGES IN NORTHERN AREA OF CHANGBAI MOUNTAINS, CHINA FROM LANDSAT TM IMAGE
    Huang, F.
    Zhang, H. J.
    Wang, P.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION VIII, 2012, 39-B8 : 479 - 484
  • [7] Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus
    Andronis, Vassilis
    Karathanassi, Vassilia
    Tsalapati, Victoria
    Kolokoussis, Polychronis
    Miltiadou, Milto
    Danezis, Chistos
    REMOTE SENSING, 2022, 14 (04)
  • [8] Using Spatial Features to Reduce the Impact of Seasonality for Detecting Tropical Forest Changes from Landsat Time Series
    Silveira, Eduarda M. O.
    Bueno, Inacio T.
    Acerbi-Junior, Fausto W.
    Mello, Jose M.
    Scolforo, Jose Roberto S.
    Wulder, Michael A.
    REMOTE SENSING, 2018, 10 (06)
  • [9] Revealing spatiotemporal dynamics of forest plantation harvesting practices at landscape level using satellite time series data
    Cortes, Lissette
    Hernandez, Jaime
    FORESTRY, 2023, 96 (02): : 217 - 227
  • [10] High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond
    Morresi, Donato
    Maeng, Hyeyoung
    Marzano, Raffaella
    Lingua, Emanuele
    Motta, Renzo
    Garbarino, Matteo
    GISCIENCE & REMOTE SENSING, 2024, 61 (01)