Long term and seasonal courses of leaf area index in a semi-arid forest plantation

Effective leaf area index (LAIe) in the semi-arid Pinus halepensis plantation, located between arid and semi-arid climatic zones at the edge of the Negev and Judean deserts, was measured bi-annually during four years (2001–2004) and more intensively (monthly) during the following two years (2004–2006) by a number of non-contact optical devices. The measurements showed a gradual increase in LAIe from ∼1 (±0.25) to ∼1.8 (±0.11) during these years. All instruments, when used properly, gave similar results that were also comparable with actual leaf area index measured by litter collection and destructive sampling and allometric estimates. Because of the constraint of clear sky conditions, which limited the use of the fisheye type sensors to times of twilight, the fisheye techniques were less useful. The tracing radiation and architecture of canopies system, which includes specific treatment of two levels of clumpiness of the sparse forest stand, was used successfully for the intensive monitoring. The mean clumpiness index, 0.61, is considered representative for the specific environment. Finally, the LAIe measurements at the start of each season were used to constrain phenology-based estimates of annual LAIe development, resulting in a continuous course of LAIe in the forest over the five-year period. Intra-seasonal LAIe variation in the order of 10% of total LAIe predicted by the model was also observed in the intensive TRAC measurements, giving confidence in the TRAC system and indicating its sensitivity and applicability in woodlands even with low LAIe values. The results can be important for forest management decision support as well as for use in evaluation of remote sensing techniques for forests at the lowest range of LAIe values.

[1]  R. Ceulemans,et al.  Under-story contributions to stand level GPP using the process model SECRETS , 2006 .

[2]  A. Schwartz,et al.  Physiology-phenology interactions in a productive semi-arid pine forest. , 2008, The New phytologist.

[3]  J. Chen Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands , 1996 .

[4]  G. Schiller,et al.  Water balance of Pinus halepensis Mill. afforestation in an arid region , 1998 .

[5]  A. Lang Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies , 1986 .

[6]  S. T. Gower,et al.  Leaf area index of boreal forests: theory, techniques, and measurements , 1997 .

[7]  I. Klein,et al.  GRAPEVINE LEAF AREA INDEX EVALUATION BY GAP FRACTION INVERSION , 2000 .

[8]  S. T. Gower,et al.  Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .

[9]  J. Chen,et al.  Global mapping of foliage clumping index using multi-angular satellite data , 2005 .

[10]  A. Lang Simplified estimate of leaf area index from transmittance of the sun's beam , 1987 .

[11]  Dan Yakir,et al.  Effects of spatial variations in soil evaporation caused by tree shading on water flux partitioning in a semi-arid pine forest. , 2010 .

[12]  P. Ffolliott,et al.  Dryland forestry for sustainable development , 1995 .

[13]  K. Wilson,et al.  How the environment, canopy structure and canopy physiological functioning influence carbon, water and energy fluxes of a temperate broad-leaved deciduous forest--an assessment with the biophysical model CANOAK. , 2002, Tree physiology.

[14]  Michael Sprintsin,et al.  The effect of spatial resolution on the accuracy of leaf area index estimation for a forest planted in the desert transition zone , 2007 .

[15]  C. Woodcock,et al.  Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland , 2004 .

[16]  Michael Sprintsin,et al.  Relationships between stand density and canopy structure in a dryland forest as estimated by ground-based measurements and multi-spectral spaceborne images , 2009 .

[17]  F. Baret,et al.  Optimal geometric configuration and algorithms for LAI indirect estimates under row canopies: The case of vineyards , 2009 .

[18]  T. Black,et al.  Foliage area and architecture of plant canopies from sunfleck size distributions , 1992 .

[19]  J. Hicke,et al.  Global synthesis of leaf area index observations: implications for ecological and remote sensing studies , 2003 .

[20]  S. Leblanc,et al.  A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis , 2000 .

[21]  Tal Svoray,et al.  The use of remote sensing and GIS for spatio-temporal analysis of the physiological state of a semi-arid forest with respect to drought years , 2005 .

[22]  Frédéric Baret,et al.  Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography , 2004 .

[23]  D. Baldocchi,et al.  Leaf area distribution and radiative transfer in open-canopy forests: implications for mass and energy exchange. , 2001, Tree physiology.

[24]  Lars Eklundh,et al.  Estimating LAI in deciduous forest stands , 2005 .

[25]  John M. Norman,et al.  Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach. , 1999, Tree physiology.

[26]  M. Sprintsin,et al.  Evaluating the performance of the MODIS Leaf Area Index (LAI) product over a Mediterranean dryland planted forest , 2009 .

[27]  Avi Bar Massada,et al.  Assessment of temporal changes in aboveground forest tree biomass using aerial photographs and allometric equations , 2006 .

[28]  J. Welles,et al.  Canopy structure measurement by gap fraction analysis using commercial instrumentation , 1996 .

[29]  J. Ross The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.

[30]  F. Baret,et al.  Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling , 2004 .

[31]  G. Campbell Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution , 1986 .

[32]  F. López‐Serrano,et al.  LAI estimation of natural pine forest using a non-standard sampling technique , 2000 .

[33]  S. Leblanc,et al.  Tracing Radiation and Architecture of Canopies TRAC MANUAL Version 2.1 , 2002 .

[34]  Karsten H. Jensen,et al.  Use of remotely sensed precipitation and leaf area index in a distributed hydrological model , 2002 .

[35]  John R. Miller,et al.  Mapping Forest Background Reflectance in a Boreal Region Using Multiangle Compact Airborne Spectrographic Imager Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[36]  V. Dantec,et al.  Interannual and spatial variation in maximum leaf area index of temperate deciduous stands , 2000 .

[37]  H. Mooney,et al.  Plant Physiological Ecology-Field Methods and Instrumentation. , 1990 .

[38]  J. M. Norman,et al.  THE ARCHITECTURE OF A DECIDUOUS FOREST CANOPY IN EASTERN TENNESSEE, U.S.A. , 1986 .

[39]  John M. Norman,et al.  Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada , 1997 .

[40]  Josep Piñol,et al.  Climate Warming, Wildfire Hazard, and Wildfire Occurrence in Coastal Eastern Spain , 1998 .

[41]  N. Breda Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. , 2003, Journal of experimental botany.

[42]  D. Baldocchi,et al.  Estimation of leaf area index in open-canopy ponderosa pine forests at different successional stages and management regimes in Oregon , 2001 .

[43]  Hans Lambers,et al.  Plant Physiological Ecology , 1998, Springer New York.

[44]  Julio Calvo-Alvarado,et al.  Calibration of LAI-2000 to estimate leaf area index (LAI) and assessment of its relationship with stand productivity in six native and introduced tree species in Costa Rica. , 2007 .

[45]  Ilya Gelfand,et al.  Biogeochemical factors contributing to enhanced carbon storage following afforestation of a semi-arid shrubland , 2007 .

[46]  A. Lang,et al.  Leaf area and average leaf angle from transmission of direct sunlight , 1986 .

[47]  T. Nilson A theoretical analysis of the frequency of gaps in plant stands , 1971 .

[48]  G. Schiller,et al.  Estimating water use by sclerophyllous species under east Mediterranean climate: II. The transpiration of Quercus calliprinos Webb. in response to silvicultural treatments , 2003 .

[49]  Craig Macfarlane,et al.  Measurement of Crown Cover and Leaf Area Index Using Digital Cover Photography and Its Application to Remote Sensing , 2009, Remote. Sens..

[50]  Dan Yakir,et al.  Carbon sequestration in arid‐land forest , 2003 .

[51]  R. Lacaze,et al.  Canada-wide foliage clumping index mapping from multiangular POLDER measurements , 2005 .

[52]  J. Cihlar,et al.  Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. , 1995, Applied optics.

[53]  Sylvain G. Leblanc,et al.  Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests , 2005 .

[54]  Hideki Kobayashi,et al.  On the correct estimation of effective leaf area index: does it reveal information on clumping effects? , 2010 .

[55]  J. Goldammer Global Forest Resources Assessment 2005 – Thematic report on forest fires in the Central Asian Region and adjacent countries / FAO Fire Management Working Paper 16 , 2006 .

[56]  David S. G. Thomas,et al.  World atlas of desertification. , 1994 .

[57]  Canopy transmittance inversion using a line quantum probe for a row crop*1 , 1997 .