IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v209y2007i2p264-276.html
   My bibliography  Save this article

Using local spatial autocorrelation to compare outputs from a forest growth model

Author

Listed:
  • Wulder, Michael A.
  • White, Joanne C.
  • Coops, Nicholas C.
  • Nelson, Trisalyn
  • Boots, Barry

Abstract

Comparing model outputs is a critical precursor to successfully applying models to environmental issues. In this paper, we applied a calibrated physiological model (3PG) and predicted two fundamental forest growth attributes (leaf area index (LAI) and stand volume). As part of this simulation, we systematically changed two key model input parameters (soil water holding capacity and soil fertility rating) and compared the model outputs utilising a method that accounts for local spatial autocorrelation. The use of the Getis statistic (Gi*) provides insights on the spatial ramifications of an aspatial change to model inputs. Specifically, the location of significant Gi* values identified areas where the differences in LAI and stand volume occur and are spatially clustered. When soil water is doubled and soil fertility is unchanged, both LAI and stand volume increase; conversely, when soil water is doubled and soil fertility is halved, both LAI and stand volume decrease. The increase and decrease in these model outputs occurred differentially across the study area, although there is a similar pattern to the location of the significant Gi* values (p=0.10) in both LAI and stand volume outputs, for each model scenario. Analyzing the local spatial autocorrelation of the differences between model outputs identified those areas that have systematic sensitivity to specific model inputs. This information may then be used to aid in the interpretation of model outputs, or to direct the collection of additional data to refine model predictions.

Suggested Citation

  • Wulder, Michael A. & White, Joanne C. & Coops, Nicholas C. & Nelson, Trisalyn & Boots, Barry, 2007. "Using local spatial autocorrelation to compare outputs from a forest growth model," Ecological Modelling, Elsevier, vol. 209(2), pages 264-276.
    • Handle: RePEc:eee:ecomod:v:209:y:2007:i:2:p:264-276
    DOI: 10.1016/j.ecolmodel.2007.06.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380007003419
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2007.06.033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter A. Rogerson, 2002. "Change detection thresholds for remotely sensed images," Journal of Geographical Systems, Springer, vol. 4(1), pages 85-97, March.
    2. Miller, Jennifer & Franklin, Janet & Aspinall, Richard, 2007. "Incorporating spatial dependence in predictive vegetation models," Ecological Modelling, Elsevier, vol. 202(3), pages 225-242.
    3. Li, Yong & White, Robert & Chen, Deli & Zhang, Jiabao & Li, Baoguo & Zhang, Yuming & Huang, Yuanfang & Edis, Robert, 2007. "A spatially referenced water and nitrogen management model (WNMM) for (irrigated) intensive cropping systems in the North China Plain," Ecological Modelling, Elsevier, vol. 203(3), pages 395-423.
    4. Swain, D.L. & Hutchings, M.R. & Marion, G., 2007. "Using a spatially explicit model to understand the impact of search rate and search distance on spatial heterogeneity within an herbivore grazing system," Ecological Modelling, Elsevier, vol. 203(3), pages 319-326.
    5. J. Keith Ord & Arthur Getis, 2001. "Testing for Local Spatial Autocorrelation in the Presence of Global Autocorrelation," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 411-432, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Coops, Nicholas C. & Waring, Richard H. & Schroeder, Todd A., 2009. "Combining a generic process-based productivity model and a statistical classification method to predict the presence and absence of tree species in the Pacific Northwest, U.S.A," Ecological Modelling, Elsevier, vol. 220(15), pages 1787-1796.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yirigui Yirigui & Sang-Woo Lee & A. Pouyan Nejadhashemi & Matthew R. Herman & Jong-Won Lee, 2019. "Relationships between Riparian Forest Fragmentation and Biological Indicators of Streams," Sustainability, MDPI, vol. 11(10), pages 1-24, May.
    2. Guo, Shuocheng & Kontou, Eleftheria, 2021. "Disparities and equity issues in electric vehicles rebate allocation," Energy Policy, Elsevier, vol. 154(C).
    3. Wei, Yongping & White, Robert & Hu, Kelin & Willett, Ian, 2010. "Valuing the environmental externalities of oasis farming in Left Banner, Alxa, China," Ecological Economics, Elsevier, vol. 69(11), pages 2151-2157, September.
    4. Joconiah Chirenda & Isaiah Gwitira & Robin M Warren & Samantha L Sampson & Amon Murwira & Collen Masimirembwa & Kudzanai M Mateveke & Cremence Duri & Prosper Chonzi & Simbarashe Rusakaniko & Elizabeth, 2020. "Spatial distribution of Mycobacterium Tuberculosis in metropolitan Harare, Zimbabwe," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-16, April.
    5. Rene Westerholt & Enrico Steiger & Bernd Resch & Alexander Zipf, 2016. "Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-31, September.
    6. Yong Li & De Li Liu & Graeme Schwenke & Bin Wang & Ian Macadam & Weijin Wang & Guangdi Li & Ram C Dalal, 2017. "Responses of nitrous oxide emissions from crop rotation systems to four projected future climate change scenarios on a black Vertosol in subtropical Australia," Climatic Change, Springer, vol. 142(3), pages 545-558, June.
    7. Herrera Gómez, Marcos & Cid, Juan Carlos & Paz, Jorge Augusto, 2012. "Introducción a la econometría espacial: Una aplicación al estudio de la fecundidad en la Argentina usando R [Introduction to Spatial Econometrics: An application to the study of fertility in Argent," MPRA Paper 41138, University Library of Munich, Germany.
    8. He, Qinsi & Liu, De Li & Wang, Bin & Li, Linchao & Cowie, Annette & Simmons, Aaron & Zhou, Hongxu & Tian, Qi & Li, Sien & Li, Yi & Liu, Ke & Yan, Haoliang & Harrison, Matthew Tom & Feng, Puyu & Waters, 2022. "Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
    9. Michael Poulsen & Ron Johnston & James Forrest, 2010. "The Intensity of Ethnic Residential Clustering: Exploring Scale Effects Using Local Indicators of Spatial Association," Environment and Planning A, , vol. 42(4), pages 874-894, April.
    10. Ron Johnston & Michael Poulsen & James Forrest, 2009. "Using Local Statistics to Portray Ethnic Residential Segregation in London," The Centre for Market and Public Organisation 09/213, The Centre for Market and Public Organisation, University of Bristol, UK.
    11. Zhang, Hongyuan & Batchelor, William D. & Hu, Kelin & Liang, Hao & Han, Hui & Li, Ji, 2022. "Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China," Ecological Modelling, Elsevier, vol. 470(C).
    12. Wang, Xiangping & Huang, Guanhua & Yang, Jingsong & Huang, Quanzhong & Liu, Haijun & Yu, Lipeng, 2015. "An assessment of irrigation practices: Sprinkler irrigation of winter wheat in the North China Plain," Agricultural Water Management, Elsevier, vol. 159(C), pages 197-208.
    13. Chandan Kumar & Prashant Kumar Singh & Rajesh Kumar Rai, 2012. "Under-Five Mortality in High Focus States in India: A District Level Geospatial Analysis," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-15, May.
    14. Thoralf Meyer & Paul Holloway & Thomas B. Christiansen & Jennifer A. Miller & Paolo D’Odorico & Gregory S. Okin, 2019. "An Assessment of Multiple Drivers Determining Woody Species Composition and Structure: A Case Study from the Kalahari, Botswana," Land, MDPI, vol. 8(8), pages 1-14, August.
    15. Yuqing Zhao & Zenglin Han & Xiaolu Yan & Xuezhe Wang, 2022. "Integrating Spatial Heterogeneity into an Analysis between Ecosystem Service Value and Its Driving Factors: A Case Study of Dalian, China," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    16. Gonzalez, Juan Nicolas & Gomez, Juan & Vassallo, Jose Manuel, 2023. "Are low emission zones and on-street parking management effective in reducing parking demand for most polluting vehicles and promoting greener ones?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    17. Valenti, D. & Tranchina, L. & Brai, M. & Caruso, A. & Cosentino, C. & Spagnolo, B., 2008. "Environmental metal pollution considered as noise: Effects on the spatial distribution of benthic foraminifera in two coastal marine areas of Sicily (Southern Italy)," Ecological Modelling, Elsevier, vol. 213(3), pages 449-462.
    18. Chong Liu & Xiaoman Wang & Haiyang Li, 2024. "County-Level Land Use Carbon Budget in the Yangtze River Economic Belt, China: Spatiotemporal Differentiation and Coordination Zoning," Land, MDPI, vol. 13(2), pages 1-21, February.
    19. Mengting Chen & Liang Zheng & Dike Zhang & Jiangfeng Li, 2022. "Spatio-Temporal Evolution and Obstacle Factors Analysis of Tourism Ecological Security in Huanggang Dabieshan UNESCO Global Geopark," IJERPH, MDPI, vol. 19(14), pages 1-22, July.
    20. Liang Guo & Wenjun Cheng & Chang Liu & Qinghao Zhang & Shuo Yang, 2023. "Exploring the Spatial Heterogeneity and Influence Factors of Daily Travel Carbon Emissions in Metropolitan Areas: From the Perspective of the 15-min City," Land, MDPI, vol. 12(2), pages 1-22, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:209:y:2007:i:2:p:264-276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.