Estimating regional forest productivity and water yield using an ecosystem model linked to a GIS

被引:82
作者
Ollinger, SV [1 ]
Aber, JD
Federer, CA
机构
[1] Univ New Hampshire, Complex Syst Res Ctr, Inst Study Earth Oceans & Space, Durham, NH 03824 USA
[2] US Forest Serv, USDA, NE Forest Expt Stn, Durham, NH 03824 USA
关键词
forest productivity; NPP; runoff; climate; nitrogen; northeastern US; modeling;
D O I
10.1023/A:1008004423783
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We used the PnET-II model of forest carbon and water balances to estimate regional forest productivity and runoff for the northeastern United States. The model was run at 30 are sec resolution (approximately 1 km) in conjunction with a Geographic Information System that contained monthly climate data and a satellite-derived land cover map. Predicted net primary production (NPP) ranged from 700 to 1450 g m(-2) yr(-1) with a regional mean of 1084 g m-2 yr(-1). Validation at a number of locations within the region showed close agreement between predicted and observed values. Disagreement at two sites was proportional to differences between measured foliar N concentrations and values used in the model. Predicted runoff ranged from 24 to 150 cm yr(-1) with a regional mean of 63 cm yr(-1). Predictions agreed well with observed values from U.S. Geologic Survey watersheds across the region although there was a slight bias towards overprediction at high elevations and underprediction at lower elevations. Spatial patterns in NPP followed patterns of precipitation and growing degree days, depending on the degree of predicted water versus energy limitation within each forest type. Randomized sensitivity analyses indicated that NPP within hardwood and pine forests was limited by variables controlling water availability (precipitation and soil water holding capacity) to a greater extent than foliar nitrogen, suggesting greater limitations by water than nitrogen for these forest types. In contrast, spruce-fir NPP was not sensitive to water availability and was highly sensitivity to foliar N, indicating greater limitation by available nitrogen. Although more work is needed to fully understand the relative importance of water versus nitrogen limitation in northeastern forests, these results suggests that spatial patterns of NPP for hardwoods and pines can be largely captured using currently available data sets, while substantial uncertainties exist for spruce-fir.
引用
收藏
页码:323 / 334
页数:12
相关论文
共 50 条
  • [21] Regional modeling of soil sensitivity to water erosion in JIJEL region (Algeria) using MCA and GIS
    Soumeya Atika Nehai
    Mohamed Saïd Guettouche
    Djouher Saadoud
    Applied Geomatics, 2021, 13 : 55 - 70
  • [22] Effectiveness of Water Diversion Structure to Mitigate Runoff, Sediment Yield, Nitrate and Phosphate Concentrations in Skid Trail of Mountainous Forest Ecosystem
    Jourgholami, Meghdad
    Abari, Maryam Etehadi
    Venanzi, Rachele
    Tavankar, Farzam
    Picchio, Rodolfo
    CROATIAN JOURNAL OF FOREST ENGINEERING, 2022, 43 (02) : 355 - 371
  • [23] Evaluation of nutrient management and method of planting on crop productivity of aerobic rice and estimating the water saving in aerobic using FAO-CROPWAT model
    Sruthi, P.
    Surendran, U.
    PADDY AND WATER ENVIRONMENT, 2023, 21 (04) : 467 - 477
  • [24] Estimating above-ground net primary productivity of the tallgrass prairie ecosystem of the Central Great Plains using AVHRR NDVI
    An, Nan
    Price, Kevin P.
    Blair, John M.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (11) : 3717 - 3735
  • [25] Estimation of forest-stand net primary productivity using fraction phytomass distribution model
    Soukhovolsky, V. G.
    Ivanova, Ju D.
    CONTEMPORARY PROBLEMS OF ECOLOGY, 2013, 6 (07) : 700 - 707
  • [26] Estimation of forest-stand net primary productivity using fraction phytomass distribution model
    V. G. Soukhovolsky
    Ju. D. Ivanova
    Contemporary Problems of Ecology, 2013, 6 : 700 - 707
  • [27] Regional calibration of a water balance model for estimating stream flow in ungauged areas of the Yellow River Basin
    Wang, G. Q.
    Zhang, J. Y.
    Jin, J. L.
    Liu, Y. L.
    He, R. M.
    Bao, Z. X.
    Liu, C. S.
    Li, Y.
    QUATERNARY INTERNATIONAL, 2014, 336 : 65 - 72
  • [28] Constraining ecosystem model with adaptive Metropolis algorithm using boreal forest site eddy covariance measurements
    Makela, Jarmo
    Susiluoto, Jouni
    Markkanen, Tiina
    Aurela, Mika
    Jarvinen, Heikki
    Mammarella, Ivan
    Hagemann, Stefan
    Aalto, Tuula
    NONLINEAR PROCESSES IN GEOPHYSICS, 2016, 23 (06) : 447 - 465
  • [29] Evaluation of biological water purification functions of inland lakes using an aquatic ecosystem model
    Taguchi, Koichi
    Nakata, Kisaburo
    ECOLOGICAL MODELLING, 2009, 220 (18) : 2255 - 2271
  • [30] Using the Soil and Water Assessment Tool (SWAT) to model ecosystem services: A systematic review
    Francesconi, Wendy
    Srinivasan, Raghavan
    Perez-Minana, Elena
    Willcock, Simon P.
    Quintero, Marcela
    JOURNAL OF HYDROLOGY, 2016, 535 : 625 - 636