IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v227y2012icp82-92.html
   My bibliography  Save this article

Modeling regional variation in net primary production of pinyon–juniper ecosystems

Author

Listed:
  • Huang, Cho-ying
  • Asner, Gregory P.
  • Barger, Nichole N.

Abstract

Spatial dynamics of carbon fluxes in dryland montane ecosystems are complicated and may be influenced by topographic conditions and land tenure. Here we employ a modified version of the Carnegie Ames Stanford Approach (CASA) ecosystem model to estimate annual net primary production (NPP) at a fine spatial resolution (30m) in pinyon–juniper (P–J) woodlands of the Colorado Plateau. NPP estimated by CASA was generally comparable to validation data from a statistical NPP model and field observations. We then compared modeled NPP results with spatial layers of topography and managed grazing to assess the influences of these factors on NPP. At the regional scale, there was a positive correlation between elevation and NPP (r2=0.20, p<0.0001), mainly due to an orographic effect, but slope and slope facing-derived dryness indices failed to explain modeled variation in NPP. Topographic analyses based on six terrain aspect classes showed that cooler and wetter north-facing slopes yielded higher NPP than did south-facing slopes. A multiple regression consisting of three numerical topographical attributes (elevation, slope and a dryness index) yielded the highest predictability for CASA NPP (adjusted r2=0.24, p<0.0001). Modeled NPP of a grazed site was significantly higher than that of an ungrazed site. Combining the results from this study and previous research efforts suggests that grazing may be correlated with higher woody vegetation cover, which elevates NPP in P–J woodlands of the Colorado Plateau. The findings reveal that the spatial pattern of NPP is complex, and can be strongly affected by topographic and/or anthropogenic factors even in relatively remote areas of this dryland region.

Suggested Citation

  • Huang, Cho-ying & Asner, Gregory P. & Barger, Nichole N., 2012. "Modeling regional variation in net primary production of pinyon–juniper ecosystems," Ecological Modelling, Elsevier, vol. 227(C), pages 82-92.
    • Handle: RePEc:eee:ecomod:v:227:y:2012:i:c:p:82-92
    DOI: 10.1016/j.ecolmodel.2011.12.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380011006041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2011.12.016?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. W. A. Kurz & C. C. Dymond & G. Stinson & G. J. Rampley & E. T. Neilson & A. L. Carroll & T. Ebata & L. Safranyik, 2008. "Mountain pine beetle and forest carbon feedback to climate change," Nature, Nature, vol. 452(7190), pages 987-990, April.
    2. Huang, Ni & Niu, Zheng & Wu, Chaoyang & Tappert, Michelle Coreena, 2010. "Modeling net primary production of a fast-growing forest using a light use efficiency model," Ecological Modelling, Elsevier, vol. 221(24), pages 2938-2948.
    Full references (including those not matched with items on IDEAS)

    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. Brian Petersen & Diana Stuart, 2014. "Explanations of a Changing Landscape: A Critical Examination of the British Columbia Bark Beetle Epidemic," Environment and Planning A, , vol. 46(3), pages 598-613, March.
    2. Metsaranta, J.M. & Kurz, W.A., 2012. "Inter-annual variability of ecosystem production in boreal jack pine forests (1975–2004) estimated from tree-ring data using CBM-CFS3," Ecological Modelling, Elsevier, vol. 224(1), pages 111-123.
    3. Fahse, Lorenz & Heurich, Marco, 2011. "Simulation and analysis of outbreaks of bark beetle infestations and their management at the stand level," Ecological Modelling, Elsevier, vol. 222(11), pages 1833-1846.
    4. Coops, Nicholas C. & Waring, Richard H., 2011. "Estimating the vulnerability of fifteen tree species under changing climate in Northwest North America," Ecological Modelling, Elsevier, vol. 222(13), pages 2119-2129.
    5. Xie, Yalin & Lei, Xiangdong & Shi, Jingning, 2020. "Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model," Ecological Modelling, Elsevier, vol. 435(C).
    6. Sohngen, Brent & Tian, Xiaohui, 2016. "Global climate change impacts on forests and markets," Forest Policy and Economics, Elsevier, vol. 72(C), pages 18-26.
    7. Erickson, Adam & Nitschke, Craig & Coops, Nicholas & Cumming, Steven & Stenhouse, Gordon, 2015. "Past-century decline in forest regeneration potential across a latitudinal and elevational gradient in Canada," Ecological Modelling, Elsevier, vol. 313(C), pages 94-102.
    8. Imtiaz Rangwala & James Miller, 2012. "Climate change in mountains: a review of elevation-dependent warming and its possible causes," Climatic Change, Springer, vol. 114(3), pages 527-547, October.
    9. Vladislav Soukhovolsky & Anton Kovalev & Yulia Ivanova & Olga Tarasova, 2023. "Autoregression, First Order Phase Transition, and Stochastic Resonance: A Comparison of Three Models for Forest Insect Outbreaks," Mathematics, MDPI, vol. 11(19), pages 1-19, October.
    10. Anna Jönsson & Susanne Harding & Paal Krokene & Holger Lange & Åke Lindelöw & Bjørn Økland & Hans Ravn & Leif Schroeder, 2011. "Modelling the potential impact of global warming on Ips typographus voltinism and reproductive diapause," Climatic Change, Springer, vol. 109(3), pages 695-718, December.
    11. Zhiyuan Xiang & Meifang Zhao & U. S. Ogbodo, 2020. "Accumulation of Urban Insect Pests in China: 50 Years’ Observations on Camphor Tree ( Cinnamomum camphora )," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    12. Jean-Sébastien Landry & Navin Ramankutty, 2015. "Carbon Cycling, Climate Regulation, and Disturbances in Canadian Forests: Scientific Principles for Management," Land, MDPI, vol. 4(1), pages 1-36, January.
    13. Chubaty, Alex M. & Roitberg, Bernard D. & Li, Chao, 2009. "A dynamic host selection model for mountain pine beetle, Dendroctonus ponderosae Hopkins," Ecological Modelling, Elsevier, vol. 220(9), pages 1241-1250.
    14. Bryan K. Mignone & Matthew D. Hurteau & Yihsu Chen & Brent Sohngen, 2009. "Carbon offsets, reversal risk and US climate policy," CAMA Working Papers 2009-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Patrick J. Comer & Jon C. Hak & Marion S. Reid & Stephanie L. Auer & Keith A. Schulz & Healy H. Hamilton & Regan L. Smyth & Matthew M. Kling, 2019. "Habitat Climate Change Vulnerability Index Applied to Major Vegetation Types of the Western Interior United States," Land, MDPI, vol. 8(7), pages 1-27, July.
    16. Keskitalo, E. Carina H. & Pettersson, Maria & Ambjörnsson, Emmeline Laszlo & Davis, Emily Jane, 2016. "Agenda-setting and framing of policy solutions for forest pests in Canada and Sweden: Avoiding beetle outbreaks?," Forest Policy and Economics, Elsevier, vol. 65(C), pages 59-68.
    17. Patrick M A James & Dave W Coltman & Brent W Murray & Richard C Hamelin & Felix A H Sperling, 2011. "Spatial Genetic Structure of a Symbiotic Beetle-Fungal System: Toward Multi-Taxa Integrated Landscape Genetics," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-11, October.
    18. Ayaovi Locoh & Évelyne Thiffault & Simon Barnabé, 2022. "Sustainability Impact Assessment of Forest Bioenergy Value Chains in Quebec (Canada)—A ToSIA Approach," Energies, MDPI, vol. 15(18), pages 1-21, September.
    19. Li, Sinan & Zhao, Xiaoqing & Pu, Junwei & Miao, Peipei & Wang, Qian & Tan, Kun, 2021. "Optimize and control territorial spatial functional areas to improve the ecological stability and total environment in karst areas of Southwest China," Land Use Policy, Elsevier, vol. 100(C).
    20. Marcelo Sthel & José Glauco Tostes & Juliana Tavares, 2013. "Sustainable Complex Triangular Cells for the Evaluation of CO 2 Emissions by Individuals instead of Nations in a Scenario for 2030," Sustainability, MDPI, vol. 5(5), pages 1-16, May.

    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:227:y:2012:i:c:p:82-92. 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.