EPA-R5-73-022 June 1973 Socioeconomic Environmental Studies Series ------- EPA-R5-73-022 1972 SURVEY AND ASSESSMENT OF AIR POLLUTION DAMAGE TO VEGETATION IN NEW JERSEY by Dr. Eva J. Pell Department of Plant Biology Cooperative Extension Service College of Agriculture and Environmental Science Rutgers - The State University New Brunswick, New Jersey 08903 Contract No. 68-02-0078 Program Element No. 1A1004 EPA Project Officer: Dr. Donald G. Gillette Human Studies Laboratory National Environmental Research Center Research Triangle Park, North Carolina 27711 Prepared for OFFICE OF RESEARCH AND MONITORING U.S. ENVIRONMENTAL PROTECTION AGENCY WASHINGTON, D.C. 20460 June 1973 ------- This report has been reviewed by the Environmental Protection Agency and approved for publication. Approval does not signify that the contents necessarily reflect the views and policies of the Agency, nor does mention of trade names or commercial products constitute endorsement or recommendation for use. 11 ------- TABLE OF CONTENTS List of Tables and Figures iv Acknowledgements v Abstract vi Introduction 1 Rationale 4 Materials and Methods 5 Results and Discussion 8 Conclusion and Summary 34 Literature Cited 35 111 ------- LIST OF TABLES AND FIGURES Table I. Statewide estimates of crop loss tabulated according to crop and pollutant 9 Table II. Estimated dollar and acreage loss to crops tabulated according to county and pollutant .... 1 2 Table III. Air stagnation advisory for New Jersey for the years of 1971 and 1972 22 Table IV. Average rainfall for the months June- September for the years 1971 and 1972 in Hightstown, New Jersey 24 Figure 1 . County Map of New Jersey 18 Figure 2. Average, maximum and minimum oxidant values for 1971 and 1972 21 Figure 3. Interacting factors responsible for effects of air pollutants on plants 26 iv ------- ACKNOWLEDGEMENTS The research reported herein was performed pursuant to Contract Number 68-02-0078 with the Division of Ecological Research, Environ- mental Protection Agency, National Environmental Research Center, Research Triangle Park, North Carolina. I would like to thank Eileen Brennan and Spencer Davis for their assistance in the verification and identification of symptoms throughout the course of the survey. Appreciation is extended to Ida Leone for her help in preparation of this manuscript. Many thanks to the members of the Extension Service for their active support of the survey. The air pollution data was kindly provided by Marvin Green and the New Jersey Department of Environmental Protection. The meteorological information necessary for proper interpretation of data was provided by James Carr of the Department of Meterology of Rutgers - The State University. The assistance of the New Jersey Crop Reporting Service in providing data concerning crop and harvest values is acknowledged. v ------- ABSTRACT The economic impact of air pollution on vegetation was studied for a second year, from May 1972 through May, 1973. Direct losses to agronomic crops and ornamental plantings were evaluated; crop substitution and indirect yield reduction were not accounted for. The total losses to these crops for 1972-73 amounted to $128,019. Forty-seven percent of the plant damage was caused by oxidants, 18% by hydrogen fluoride, 16% by ethylene, 4% by sulfur dioxide and 1% by anhydrous ammonia. Cumberland, Warren, Atlantic and Salem Counties sustained the greatest degree of injury. Damage reported in this survey was only 11% of that reported for 1971-1972 in New Jersey. Reduced losses did not result from decreased air pollution concentrations but rather from altered environ- mental conditions. The unusual rainfall patterns in 1972 placed the plants under water stress and probably protected them from air pollution injury. In addition to evaluating crop losses, unknown problems were documented and research needs assessed. VI ------- INTRODUCTION The history of the air pollution problems on vegetation began in the 1890's when sulfur dioxide was first recognized as a phytotoxicant (24,27). Since then many air pollutants have been characterized as toxic, among them fluoride (HF), ozone (03), peroxyacetyl nitrate (PAN) and nitrogen dioxide(NO2) • In New Jersey air pollution problems on vegetation became apparent in 1944. Defoliation of deciduous and coniferous species, tip burn of gladiolus and tulip, mottling of corn foliage and early fruit drop of peach were among the symptoms attributed to hydrogen fluoride gas emitted from certain industrial processes (8). The fluoride problem provided the initiative for establishment of a permanent air pollution research laboratory at the Rutgers Experiment Station. Since then various symptoms on plant species in New Jersey have been attributed to all major air pollutants currently recognized. The ozone problem (presently the most serious) was first observed on spinach in 1958, the same year that it was first reported in the literature on grape (23). New Jersey is the most densely populated and one of the most heavily industrialized states in the United States. Since New Jersey's agricultural regions interface on the industrial sections of the state, the serious air pollution problems confronting crops come as no surprise. There are many implications to air pollution phytotoxicity, among them: (1) the economic impact of air pollution on agricultural and ornamental crops, (2) the role of vegetation as an indicator of the presence of air pollutants in the ambient atmosphere, (3) the role of vegetation as a sink for air pollutants (25). 1 ------- The importance of the problem on vegetation generated a need to quantify and and qualify these effects. The Division of Ecological Research of the Environ- mental Protection Agency initiated continuous surveys to establish the economic impact of air pollution damage to vegetation in California, Pennsylvania and New Jersey. The objectives of these surveys were manifold. Initially researchers hoped to determine the relative sensitivity of plant species to specific pollutants and the severity and extent of the ensuing damage. By observing air pollution effects over a period of years researchers could eval- uate (a) the annual variability of damage to crops and, (2) the geographical distribution of the damage. Many uses could then be made of the data: (1) It would provide a basis for estimating and evaluating losses. (2) It would provide a base for estimating the necessity and economic practicality of control measures. If instituted, success of controls could be evaluated during the course of the survey. (3) It would identify unknown and important problems serving as a source of new research direction. California conducted two types of surveys. Stanford Research Institute developed a model to study the potential air pollution effects on vegetation(l). The most populated areas in the United States i.e. those in the statistical Metropolitan area, and those with the greatest fuel consumption were analyzed in this model. Air pollutant concentrations were based on fuel consumption and point source emission data. Tables of species (agronomic, ornamental and forest) sensitive to specific pollutants and the percentage injury expected from exposure to different levels of specific air pollutants were prepared from existing literature. ------- The market value of these crops was considered and the data described above utilized to calculate the dollar loss according to a formula developed by the Institute. The SRI reported an average loss of $35,230,000 to the State of California in the years 1969 and 1970, and a $7,391,000 loss to the State of Pennsylvania in the years 1969-1970 and 1970-1971. It should be stressed that this model is predictive. The model has incorporated effects such as corp substitution but could not incorporate factors such as climatic or meteorological variability, hence, estimates by the Stanford technique could be expected to vary from yearly results in individual states. Both California and Pennsylvania conducted surveys in which qualified personnel made on-the-spot investigations of individual air pollution episodes and quantified the results from their observations. In 1969 California sustained a $44.5 million loss to agriculture by this method. These results did not include losses to forest, vegetation or ornamental plantings (20). In another survey in 1970, losses to agronomic crops in California amounted to $25.7 million (20). In a two-year survey conducted in Pennsylvania losses to agronomic crops and ornamental plantings resulted in an $11.5 million in 1969, and a $225 thousand loss in 1970 (26). In 1971 New Jersey embarked on a similar EPA sponsored survey using the same protocol. Feliciano (9) reported a loss of $1, 183,754. His survey was concentrated on effects on agronomic crops but did include acute effects on ornamental plantings. The following report will describe the survey which was conducted in New Jersey in 1972-73. 3 ------- RATIONALE In undertaking the study, I considered the following areas to be of importance to the success of the survey. 1. Evaluation of dollar loss as a result of air pollution damage to vegetation. Since the profile of the agricultural industry is shifting from rural agronomic crops to urban-related ornamental crops, an effort was made to obtain more data regarding ornamental vegetation. 2. Consideration of the relative importance of the individual air pollutants injuring vegetation. 3. Identification of those plants particularly sensitive to a pollutant. 4. Documentation of unknown problems which may be of air pollution origin. This last area is important since our knowledge of the effects of air pollution on plants is limited to a few pollutants. We would do a great disservice to our research efforts if we merely pursued areas already defined. ------- MATERIALS AND METHODS Method of Collection In order to accumulate the greatest volume of data and describe the greatest number of air pollution episodes, we contacted three groups. 1. Extension Service: county agents and extension specialists. 2. Christmas tree growers' association - all Christmas tree growers. 3. Flower growers' association - major flower growers of New Jersey. Communication between the county agents and the survey leader included air pollution report forms (9) and investigations of all reported air pollution episodes. The counties were inspected even when damage was not reported in order that no air pollution episodes be overlooked. In order to compare air pollution effects both years' surveys* accurately, all the species on which Feliciano (9) reported injury were examined. There have been mounting reports of the importance of air pollution effects on conifers (2, 7). We did not have the personnel to assess air pollution effects on conifers throughout the state, therefore we sent question- naires concerning air pollution damage on trees to all the Christmas tree growers When responses indicated potential air pollution problems, the Christmas tree plantation was visited. Similar report forms and a descriptive letter were sent to the major flower growers to inform them of our service and to make the growers cognizant of potential air pollution problems. Any air pollution episodes were investigated. *Survey I - The 1971-1972 survey was conducted from April 1971-April, 1972. Survey II- The 1972-1973 survey was conducted from May 1972- May, 1973. ------- Air pollution damage was identified by symptoms, and when meaningful, by chemical analyses of plant tissue for pollutant residues. Method of Assessment There were essentially two modes of assessing value loss: Method of Evaluating Complete Loss If an entire agronomic crop or portion of the ornamental crop was completely destroyed, the loss was expressed as cost of replace- ment. In the case of the conifers the replacement value was calculated at an average of $1.00 to $1.25 per foot. The additional cost of property taxes and maintenance were not included. The value of agronomic and ornamental crops was based on market value. Method of Evaluating Partial Loss In most species, particularly those that were not ornamental, partial injury did not result in complete loss of a crop but reduced its value. These values were calculated according to the rule of thumb previously utilized (9, 20). The inaccuracies of this method will be discussed later. When we observe injury to a portion of a particular crop we can either report that specified damage as the loss, or we can extrapolate to include the damage on the entire acreage of the crop grown in the state. I have rejected the idea of extrapolating for two reasons; (a) we do not have data to prove that air pollutants were present at every site where a sensitive crop was growing; (b) from our field and laboratory experience we know that plants grown in the same atmosphere sometimes respond differently. Therefore, it is invalid to 6 ------- extrapolate to effects on acreage we have not observed. Since we are not in a position to present a predictive model (1), we confine our report to actual observations only. Method of Data Analysis The data were evaluated from two perspectives: 1. Comparison with New Jersey survey data of 1971-1972. The data were compiled according to the pollutant and affected crop on a statewide basis (Table I). In Table II the data were tabulated according to county. Data on crop substitution were not included. 2. Evaluation of Field Problems The serious field problems will be discussed in detail with an emphasis on the difficulty of accurate diagnosis. In this section unknown field problems will be elaborated as well. ------- RESULTS AND DISCUSSION I. Comparison between New Jersey survey data from Survey I and Survey II. In Survey II air pollution damage to vegetation resulted in $128,019 losses to New Jersey growers (Table I and Table II). This value was only 11% of the $1,183,754 loss reported for Survey I (9). When losses were compared on a per county basis (Table II), we found that Cumberland County sustained the greatest losses followed by Warren, Atlantic and Salem counties respectively, In Survey I Cumberland, Burlington, Atlantic and Salem counties suffered the severest effects of air pollution injury to vegetation. While Warren County sustained a $33,777 loss in Survey I, and $26,000 loss in Survey II, these values reflected only a 2% of the total in the former opposed to 20% of the latter total. The absolute degree of damage in a particular county was a function of the presence of sensitive species as well as the presence of air pollutants- proportional distribution of damage was also a function of total loss. Forty-six percent of the dollar loss in Survey II resulted from damage to vegetable crops compared to 51% in Survey I. In Survey I, 36% of the air pollution damage occurred on field crops but in Survey II there was only a 2% loss to these crops. In Survey II there was virtually no injury to alfalfa, clover or soybean which explains the decreased damage to field crops. The absence in damage to field crops also explains the decrease in dollar losses in Burlington County since $120,592 of the $150,764 losses incurred in this county in Survey I resulted from air pollution damage to field crops. Ornamentals are often injured as the result of accidental exposures to air pollutants. While the number of episodes of air pollution damage in Survey I and Survey II were similar, the percentage 8 ------- Table I. Statewide estimates of crop loss tabulated according to crop and pollutant Crop Field Crops Alfalfa White potato Fruit Grape Acreage State ** Pollutant Affected $ Loss Harvest Value 03 10 PAN 300 O3 67.5 0 xxx 2,106 7,582,000 2,106 10,730 369,112 10,730 Nursery and Cut Flowers Gladiolus Easter lily HF 240 ethylene 2000 a Chrysanthemum aldehyde 3300 a Chrysanthemum phenol 2600 a African violet, products of 2000 a Azalea and Begonia oil combustion 22,890 1,916,532 20,000 xxx 1,925 xxx 53 xxx 5,000 xxx 49,868 Trees (Christmas) Norway spruce Norway spruce unknown II 504 a unknown II 1 6 a Jap. black pine SO2 12a White pine White pine Norway spruce Scotch pine White pine _ unknown I 78 a unknown 2 a stack source 100T NH3 50 a 25a 5,042 xxx 0 xxx 120 xxx 975 xxx 30 xxx 800 xxx 6,967 ------- Crop Vegetables Cucumber Dandelion Endive & Escarole Fall lettuce Spring lettuce Spring lettuce Lima bean Muskmelon Okra Onion Pumpkin Scallions Shallots Spinach Squash Sweet corn Swiss Chard Tomato Turnip Watermelon Pollutant 03 PAN PAN PAN PAN HClmist 03 03 03 03 03 03 03 03 PAN 03 03 PAN PAN S02 PAN °3 Acreage Affected 37 3 15 800 15 2 605 515 100 XXX 17 1 20 74 3 1 10 2 25 5040b .25 81 Total $ Loss 2,530 1,015 811 15,736 ' 880 6,000 3,690 11,529 XXX XXX 111 10 605 5,071 225 15 44 60 4,789 5,123 XXX 104 58,348 128,019 State Harvest Value 1,700,000 14,328 1,871 ,000 1,180,000 1 ,534,000 1 ,534,000 412,800 ' 298,200 XXX XXX XXX XXX XXX 423,000 XXX 4,883,000 15,792 7,543,000 XXX 15,587 10 ------- Key: Table I and II * Data not provided. ** New Jersey Crop Reporting Service. *** Harvest value not available. a. Trees or plants affected. b. Square feet. 11 ------- Table II. Estimated dollar and acreage loss to crops tabulated according to county and pollutant County Atlantic Bergen Burlington Camden Pollutant Crop 03 Grape var. Elvira Fredonia Ives Niagar^ Noah Riesling Scallions Shallots PAN Endive Spring lettuce var. Iceberg & Romaine unknown I White pine unknown II Norway spruce Aldehyde Chrysanthemum var. Princess Anne 03 Cucumber Spinach PAN Endive unknown II Norway spruce unknown III Norway spruce O3 Squash Phenol ? Apple Azalea Blue spruce Chestnut Daisy Forsythia Acreage Affected 1 3 1.5 1 25 36 ' 1 20 10 15 15a 500a 300a 2 2 2 2a 3a X X $ Loss 10,730 10 605 11,345 660 880 1,540 210 5,000 18,095 125 125 675 34 709 100 100 20 0 829 X X County* Harvest Value 165,46?. XXX XXX 66,250 40,287 XXX XXX XXX 24,250 XXX XXX 20 30 X XXX 12 ------- Acreage County Pollutant Crop Affected Camden Phenol ? Gladiolus (continued) Grapes Peony Roses Sycamore Yew Cape May 63 Lima bean var. Fordhook & baby lima Cumberland 03 Alfalfa Cucumber Lima bean var. Pole Muskmelon Okra Onion Watermelon PAN Dandelion Escarole Galinsoga Fall lettuce var. bibb, boston, iceberg leaf, romaine Spinach Tomato Turnip HF Gladiolus var. White friendship and pilgrim Gloucester 03 Cucumber Muskmelon Pumpkin Squash HF Fir Maple Oak Spruce 500 5 3 - 10 100 X 81 1 2 - 800 3 X .25 240 20 5 2 1 X X X X County $ Loss Harvest Value X 2,700 2,700 0 1,012 display 439 XXX X 104 1,555 200 34 0 15,736 225 X XXX 17,750 22,890 40,640 337 110 39 15 501 X X X X 393,000 724,800 - 120,171 XXX X 15, 587 4,776 132,500 0 420,820 XXX 50,509 XXX 1,281,024 276,330 29,310 300,000 XXX XXX XXX XXX XXX 501 13 ------- County Pollutant Crop Acreage County Affected $ Loss Harvest Value Hunterdon Mercer Middlesex Monmouth oil Morris unknown III unknown I unknown II unknown III PAN Unknown I unknown II unknown III PAN SO2 NH3 combustion product so2 Norway spruce White pine Norway spruce White spruce Spinach Sweet corn Dandelion White potato White pine Norway spruce Jap, black pine Austrian pine Escarole Swiss Chard Jap. black pine Norway spruce Scotch pine White pine African violets Azalea Begonia _ Tomato var. Michigan, Ohio 3a 0 0 8a 80 la 12 10 0 92 53 3,042 10 44 3,086 2 815 300 2,106 2,921 55a 685 la 10 0 6,702 1 17 2 60 77 12 120 120 lOOa" 50a 800 25a 800 2000a 5,000 5,997 5040b 5,123 5,123 XXX XXX XXX XXX 1 1 ,600 9,552 210,600 XXX XXX XXX 84,800 XXX XXX XXX XXX XXX XXX XXX 14 ------- Acreage County County Pollutant Crop Ocean 03 Cucumber Lima bean var. Ford Hook aldehydes Chrysanthemums Affected 12 5 3000c $ Loss Harvest Value 506 750 1,256 1,800 XXX XXX XXX Salem PAN Somerset Phenols ? var. Baby Tears Cameo Dan Foley Gambler Gold Strike Grand Child Jessamine Williams Joan Helen Lipstick Minn White Princess Roll Call Small Wonder Wee Willie Yellow Supreme Yellow Jess.Williams Zonta Lima bean var ba by lima & dixie pea Muskmelon var. Gold star Pumpkin Spinach Tomato Chrysanthemum var. Deep Mermaid Mountain snow Princess Anne 100 500 15 19 25 600a 3,056 240 10,980 72 1,995 13,287 4,789 18,076 53 121 ,400 119,194 63,000 XXX 148,668 XXX Union unknown White Pine stack source 2a 53 30 30 XXX 15 ------- County Warren Pollutant ethylene HC1 acid mist Crop Easter lily Escarole & Lettuce var Acreage Affected 2 ,000 a. Endive 4 .Romaine 2 $ Loss 20,000 20,000 0 6,000 26,000 County Harvest Value XXX 202,725 4,000 TOTAI 128,019 16 ------- damage to floriculture (39%) was much higher than in Survey I (7%) due to the reduced total loss values. The oxidants i.e. ozone and PAN were responsible for 47% of all damage, sulfur dioxide (SO?) for 4% and ammonia (NHs) for 1%. Ethylene caused 16% and HF 18% of air pollution damage in Survey II as opposed to 3% and 2% in Survey I respectively. The ethylene was responsible for $20,000 loss to Easter lilies and exposure of gladiolus to HF resulted in $22,890 damage. Aldehydes and phenols were suspected toxicants to a variety of ornamentals. We had a 20% response to the Christmas tree questionnaire. There were nine positive responses which upon inspection revealed an estimated $6,967 damage. The most interesting result of this survey was the document- ation of three problems, one on white pine and two on norway spruce: hypotheses concerning the origin of these symptoms will be discussed in the next section. The damage reported this year (1972-1973) is substantially lower than the $1,183,754 figure accrued during Survey I. When results are substantially reduced from one year to the next we must examine the possibility that air pollution levels had declined. We considered this possibility and carefully studied air pollution monitoring data. The New Jersey State Department of the Environmental Protection, Bureau of Air Pollution Control monitors the air for nitrogen oxides, nitric oxide, nitrogen dioxide, sulfur dioxide, oxidants .alde- hydes, carbon monoxide (CO), Carbon dioxide, hydrocarbons and smoke shade at four sited, Bayonne, Camden, Elizabeth and Newark (11) (Figure 1). We selected to evaluate the data obtained from the Camden trailer since it was closest to the agricultural region of the state. We compared the concentrations 17 ------- Newark Elizabeth Bayonne NEW JERSEY n'te Figure 1. County Map of New Jersey 18 ------- of NC>2» SO2, oxidants, aldehydes, CO and hydrocarbons for the months of May through September of the years 1971 and 1972; the data was compiled according to monthly averages, minima and maxima, each of these categories being divided into averages and maximums. We studied 180 pairs of data: in 142 cases concentrations of the six pollutants were higher in 1972 (Survey II) than in 1971 (SurveyI), and in 38 cases the reverse was true. CO never was as high in 1971 as it was in 1972 for the months studied. The other pollutants showed a similar distribution of 1971/1972 ratios of pollutant concentrations. Concentration differences were often only several ppb in magnitude, and would probably not be construed as significant. Since oxidants were responsible for 47% of the air pollution damage to vegetation, I have selected these gases as an example for graphic representation of this data (Figure 2). The conclusion is apparent: reduction in air pollution, injury to plants in 1972 cannot be attributed to a reduction in the concentrations of known air pollutants. While 1971 air pollution concentrations were not higher than in 1972, there were six air stagnation advisories in 1971, and only two in 1972 growing season (Table III). "An air stagnation episode occurs when meteorological conditions develop which may inhibit dispersion of airborne wastes for extended periods of time and consequently cause elevated pollution levels that pose a threat to public health (11)." During periods of stagnation plants are exposed to pollutants for an extended time; the plants are, therefore, more likely to be injured. However, such extended periods of air stagnation that are required for air pollution advisories are not a prerequisite for plant damage. 19 ------- Figure 2. Average, maximum a.id minimum oxidant values for 1971 and 1972. (A) Monthly average of daily averages, (B) Monthly average of maximum hourly average, (C) Monthly maximum of daily averages, (D) Maximum hourly average, (E) Monthly minimum of daily averages, (F) Maximum minimum hourly average. * Data provided by the New Jersey continuous air monitoring network. New Jersey Department of Environmental Protection, Trenton, New Jersey. 20 ------- .030- .020- .010- .100- .07ft- « 2 x o .021- .010- .007f- .005O- / \ B A • month 21 ------- Table III. Air Stagnation Advisory for New Jersey for the Years 1971 and 1972 YEAR 1971 August 18, August 19, October 15, October 16, October 21, October 22, October 27, October 28, October 30, November 17, November 19, 11:30 am start 12:30 pm end 2:30 pm start 12:00 noon end 12:00 noon start 11:00 am end 4:00 pm start 11:00 am end 11:00 am only local condition, no alert reported. 4:00 pm start 10:00 am end YEAR 1972 February 9, February 11, July 18, July 20, 4:00 pm start 12;00 noon end 12:00 noon start 12:00 noon end 22 ------- The decrease in plant damage in 1972 could be explained partly by meteorological differences but other explanations must be sought. The decrease in air pollution damage to crops may be explained in part by some crop-related phenomenon. The tonnage of harvested vegetable crops was reduced 11% from the values in 1971. Harvested acreage of major vegetable crops in 1972 totaled 89,990 compared with 98,050 in 1971 . Hurricane Agnes was partially responsible for destroying a considerable quantity of the June crop. While the acreage harvested was lower, the prices were higher so dollar loss for a specific crop was not affected by crop reduction per se. However, it rained 22 out of 42 days (in Hightstown, N. J.) for the month of June and the first two weeks of July accumulating over 12 inches. Many spring crops grew slowly or had to be plowed under. From July 12 until the end of September we had only 2.13 inches of rain (Table IV). The climatic conditions just described are an important factor in explaining the crop reduction but perhaps even more important in explaining altered effects of air pollution on vegetation. It has been shown experiment- ally that plants grown under water stress have an altered morphology and physiology, and are less sensitive to air pollutant injury than are those turgid plants grown under adequate watering conditions (18, 19, 21). Celery, onion, cabbage, soybean, eggplant, clover and mustard on which Feliciano (9) reported injury did not show symptoms in 1972, and quite likely climatic conditions were responsible for this variation. A similar observation was made by Benedict (1); he pointed out thaft a severe air pollution episode in New Jersey, New York and Pennsylvania at the end of July, 1970 resulted 23 ------- Table IV. Average rainfall for the months June-September for the years 1971 and 1972 in Hightstown, New Jersey* 1971 1972 Normal** June July August September 0.83 6.08 12.04 5.13 7.29 5.37 .1.16 0.97 3.83 4.46 4.52 3.99 24.08 14.79 16.80 * Data provided by the U.S. Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Data Service. ** Mean values over a 30-year period. 24 ------- in only slight injury to sensitive species. Benedict suggested that climatic conditions may have been responsible for the results. Other environmental factors contribute to the susceptibility of vegetation to air pollutants. For example, increases in humidity increase sensitivity of begonia to ozone and sulfur dioxide injury (15, 16). Plant nutrition also affects species sensitivity: plants grown at optimum nitrogen concentrations are more sensitive than those grown at luxuriant or deficient levels (17). There are many interacting factors which determine to what degree a plant will be damage. Figure 3 summarizes these factors. The following field observations illustrate the relative decrease in air pollution damage to vegetation from Survey I to Survey II. One striking example of this decrease was observed at the Renault Vineyard in Atlantic County. In 1971 (Survey I) a severe ozone episode in early July resulted in typical stippling of grape leaves leading to rapid necrosis and early leaf abscission. The resulting damage was estimated at $67,089. This year the vineyard was inspected several times; the grape leaves showed minor degree of stipple but from personal accounts (county agent and grower), and from comparisons with photographs from the summer of 1971, injury in 1972 (Survey II) was negligible when compared with damage the previous year. Most of the damage this year ($10,730) was attributed to reduced yield because of the dieback of the vines last year. Leone and Brennan (14) also demonstrated the decrease in air pollution injury to vegetation between this year and last. In 1971 and 1972 Bel W-3 Tobacco was grown in ambient air in New Brunswick, New Jersey. On the 25 ------- GENETIC FACTORS Size Shape, area of leaves Ratio internal/external surface Stomata ENVIRONMENTAL FACTORS Physical Atmospheric Soil Biotic Temperature Humidity Light intensity quality Texture Man Structure Plants Depth Animal Chemical Comp / PH / duration Precipitation Wind Aeration Temperature H2O Holding capacity PLANT PROCESSES - CONDITIONS V PLANT Quality Quality POLLUTANT \J RESPONSE Figure 3. Interacting factors responsible for effects of air pollutants on plants, ------- basis of a rating system established by the NE-56 (13) plants were evaluated periodically from June to September. When 21 pairs of (according to date of the observations in 1971and 1972) results were compared, there were 11 instances when injury was greater in 1971, 5 when it was less and 5 when equivalent. BelW-3 is an indicator only for the presence of ozone; these results are consistent with the statistics we have accrued and with the opinions and observations of the county agents and extension specialists. 27 ------- II. RESEARCH NEEDS In this section I will elaborate on the research needs which became apparent during the course of this survey. A. The "Oxidant" Symptom on Lima Beans For many years we have observed a bronzing-stippling symptom on lima beans and on potatoes as well. This symptom also has been reported on okra in New Jersey and elsewhere (12). Generally we have attributed this symptom to ozone, however, an acute dose of ozone under controlled conditions produces a somewhat different symptom in the chamber, namely a combination of whitish fleck or bleach and sometimes some stipple as well. To our knowledge the field symptom has not been reproduced under controlled conditions. Preliminary results (22) indicate that many long exposures at low levels may be responsible for this symptom on lima bean var. baby lima. We could not reproduce this symptom on the Ford Hook variety of lima bean which also shows this symptom in the field. Whether it is the dosage, the growing conditions or the response to a combination of pollutants is unclear at this time. The problem is compounded since the symptom often shows up on scattered plants throughout a field of healthy plants or will show up in several fields and not others in a single geographic location. B. PAN — A Problem of Diagnosis In New Jersey we have what appear to be PAN episodes in the spring and fall. Whether these episodes occur because this is when 28 ------- the pollutant is present at high concentrations or because this is when the sensitive leafy vegetables are grown is not clear. Our basic problem is that reported PAN episodes usually occur when there has been the possibility of a local frost. Since frost can cause symptoms similar to those caused by PAN, it is at times difficult to make an absolute diagnosis. An example occurred in October, 1972, when 800 acres of lettuce, escarole, spinach, dandelion and turnip in Cumberland County were reported to have a bronzing or glazing of the leaf tissue. While "classically" this symptom has been defined as undersurface injury many of our observations occurred on both surfaces and in Romaine lettuce typically on the tips of the upper surfaces of the leaves. We had several lines of evidence that PAN was responsible for the injury; 1. The field symptom resembled the PAN symptom described in the literature. 2. A haze was observed on the morning that the injury developed, 3. Plants known to be sensitive to PAN were injured. 4. Galinsoga, a PAN indicator (3,6) was injured in all instances where PAN symptoms were observed on other crops. Unfortunately, New Jersey does not monitor the atmosphere for PAN concentrations, therefore we have no chemical evidence of its existence, and we cannot be positive frost was not present. 29 ------- Further research to differentiate between PAN and frost injury on the same species to solve these diagnostic difficulties is essential. PAN is a pollutant about which little is known. If it is as serious a problem as it seems to be, much more research must be conducted in this area. C. Aldehydes; Problems on Chrysanthemums We have observed a generalized necrosis of i..hrysanthemurr; leaves on 17 varieties of Chrysanthemum. We hove evidence thai this injury may have been caused by acetaldehyde (dissolved in ram water) emissions from an X-ray incineration factory (22). In previous research, aldehydes have been reported to cause injury on Petunia (4). Since aldehydes are a product of automobile combustion as well as of industrial processes, the phytoxicity of this chemical shoulc OP thoroughly investigated. D. Products of Oil Combustion: Injury to Begonia, African Violets anc Azalea Flowers. An oilburner in a greenhouse was improperly ventilated and burned oil inefficiently; as a result begonia plants were severely injured. The injury varied from necrosis to cupping and distorting the color of the leaves. The flowers of begonia,, african violets and azalea showed necrotic spots on the petals. This is an unusual symptom; only ethylene has been reported to be responsible for injury to flowers. It would be interesting to know which fraction of incomplete combus- tion is responsible for this symptom. 30 ------- E. Unknown Problems; Conifers There are three problems which we observed on conifers for which the causal agent is unknown. These are widespread problems and because they may be caused by air pollutants they are vorthy of discussion. 1. Unknown I — White Pine Throughout the state there are white pines which exhibit severe tip burn, sometimes extending almost the entire length of the needle. There is variation such that a small number of sensitive trees will show the symptom while the majority will be healthy in appearance. Berry and Ripperton (2) described this symptom and suggested that ozone or some oxi- dant could be responsible for the symptom. When Costonis (7) exposed white pine to sulfur dioxide or ozone, the tip burn symptom developed. We have observed tip burn of white pine as a result of an anhydrous ammonia accident. All of these air pollution symptoms develop differently, the end result being the same. In order to differentiate between symptoms we must know' (a) what the preliminary symptoms looked like, (b) which pollutants were present at the time of needle injury. This symptom could also be caused by other stresses. We should determine which other stresses—air pollutant and other environmental stresses—could cause the same symptom. 31 ------- 2. Unknown II — Norway Spruce We originally observed a mottling symptom on spruce needles in one location in Atlantic County. Since first observed, this symptom has been observed in three other counties, Burlington, Mercer, and Middlesex Counties. There seems to be no correlation between drainage problems and the observed symptoms. Nor does the symptom correlate with any nutrient deficiency. At present we could not say that this symptom is of air pollution origin, but it is worth pursuing. 3. Unknown III — Norway and White Spruce, White Pine, Japanese Black Pine and Austrian Pine Over the last few years we have observed a discrete white spot on a number of species namely Norway and white spruce, white pine, Japanese black pine and Austrian pine. This symptom is widespread. We have observed it in urban and rural counties alike. We have been able to protect needles from developing this symptom by covering branches with plastic bags (5), and we feel this is evidence that the problem is of air pollution origin. The symptom generally appears in the winter when needles are hardened; we have hypothesized that acid gases washing out in rain or in snow burn the needles in this manner. There is evidence that acidic rainwater causes another Christmas tree symptom, short-long needle disease 32 ------- on Scotch pine (10). Precipitation should be monitored for acid content; controlled experiments should be conducted to determine whether an air pollutant could be responsible for this symptom. F. Evaluation of Rule of Thumb as Method of Assessment While the rule of thumb is an accepted method, it has serious limitations which merit discussion. There is no doubt that leaf injury can alter yield, however time of injury is critical. If a leaf is injured early in plant development, prior to flowering or fruit set, there is no question that yield reduction will occur. If a substantial portion of the leaf is injured the photosynthetic activity is reduced and hence the plant vigor as well. The yield of most species may be reduced but whether the geometric progression relationship described for leaf injury by the rule of thumb pertains to all species is questionalle. There is also the possibility that leaf tissue will be injured in the growing season and then the effect of air pollution on plant yield would not be marked. Furthermore, it is possible that there will be no effect on yield in terms of weight loss but more pronounced effect on quality in terms of carbohydrate, vitamin, protein or trace element content. The experiments necessary to determine the relationship between leaf injury and yield would be extensive and time consuming. It would only be beneficial to study effects on yield, particularly where quality may be affected, where damage is extensive. 33 ------- CONCLUSION AND SUMMARY Air pollution damage to agronomic and ornamental crops in Survey II resulted in $128,019 loss to New Jersey growers . Forty-seven percent of the damage resulted from ozone and PAN damage. The Survey II losses were 11 percent of the Survey I losses. After comparing the air pollution data for the months of May through September, we concluded that the decrease in damage could not be attributed to improved air quality. We know from the literature that there are only certain conditions under which plants will be injured by air pollutants. Apparently some factor(s) necessary for plant damage which were present in the summer of 1971 (Survey I) were absent in 1972 (Survey II). One important factor was rainfall. It is very possible that the unusual rainfall pattern in 1972 (Survey II) was partially responsible for the apparent resistance which the vegetation had to air pollution in that year. One of the aims of any survey is to utilize previous research to explain current problems. Another goal is to define new problems and sri new research vistas. I believe priority should be given to probing for the answers to questions concerning the resistance mechanism of plants and to developing better methods of diagnosis. 34 ------- Literature Cited 1. Benedict, H.M., C. J. Miller, and R.E. Olson. 1971. Economic impact of air pollutants on plants in the United States. Stanford Research Institute, Menlo Park, California, pp.77 2. Berry, C. R. and L. A. Ripperton. 1963. Ozone, a possible cause of white pine emergence tipburn. Phytopathology 53; 552-557. 3. Brennan, E. and I.A. Leone. 1969. Air pollution damage to chrysanthe- mum foliage. Plant Disease Reporter. 53; 54-55. 4. Brennan, E., I. A. Leone, andR.H. Daines. 1964. Atmospheric aldehy'es related to petunia leaf damage. Science 143: 818-820. 5. Brennan, E. and E. J. Pell. 1973. Unpublished data. 6. Bobrov, R.A. 1955. The leaf structure of Poa Annua with observations on its smog sensitivity in Los Angeles County. Am. J. Botany 42: 467-474. 7. Costonis, A.C. 1970. Acute foliar injury of eastern white pine induced by sulfur dioxide and ozone. Phytopathology 60: 994-999. 8.Daines, R.H., I.A. Leone, and E. Brennan. 1960. Air pollution as it affects agriculture in New Jersey. Bull. 794. pp. 14. 9. Feliciano, A. 1971. 1971 survey and assessment of air pollution damage to vegetation in New Jersey. Cooperative Extension Service, CAES, Rutgers-The State University, New Brunswick, New Jersey. 10. Gordon, C.C. 1972. Plantations vs. power plants. Christmas Tree Journal. August 5-10. 11. Green, M.H. 1972. The New Jersey continuous air monitoring network. Technical Bull. New.Jersey Dept. Environmental Protection, Trenton, N.J. 12. Heggestad, H.E. Personal communication. 13. Jacobson. J. 1973. Personal communication. 14. Leone, I. A. and E. Brennan. 1973 Unpublished data. 15. Leone, I. A. and E. Brennan. 1969. The importance of moisture in ozone phytotoxicity. Atmospheric Environment 3: 339-406. 35 ------- 16. Leone, I.A. and E. Brennan. 1969. Sensitivity of begonias to air pollution. Horticultural Research 9: 112-116. 17. Leone, I.A., E. Brennan, and R.H. Daines. 1966. Effects of nitrogen nutrition on the response of tobacco to ozone in the atmosphere. J. APCA. 16: 191-196. 18. Macdowall, F.O.H. 1965. Predisposition of tobacco to ozone damage. Can. J. Plant Sci. 45: 1-11. 19. Middleton, J.T. 1956. Response of plants to air pollution. J. APCA 6: 1-4. 20. Millecan, A. A. 1971. A survey and assessment of air pollution damage to California vegetation in 1970. California Dept. of Agriculture. 21. Oertli, J. J. 1958. Effect of salinity on susceptibility on sunflower plants to smog. Soil Sci. 87; 249-251. 22. Pell, E. J. and E. Brennan. 1973. Unpublished data. 23. Richards, B. L. , J.T. Middleton, and W. B. Hewitt. 1958. Air pollution with relation to agronomic crops: V. oxidant stipple of grape. Agron. J. 50: 559-561. 24. Treshow, M. 1970. Environment and Plant Response. McGraw-Hill Book Co. New York, N.Y. 25. Waggoner, P.E. 1971. Plants and polluted air. Bioscience. 10; 455-459. 26. Weidensaul, T. C. and N. L. Lacasse. 1972. Results of the 1969 state- wide survey of air pollution damage to vegetation in Pennsylvania. Plant Disease Reporter. 56: 701-704. 27. Weinstein, L. H. and D. C. McCune. 1970. Implications of air pollution for plant life. Proc. Amer. Phil. Society. 114: 18-21. 36 ------- BIBLIOGRAPHIC DATA '• Import No. 2- SHEET EPA-R5-73-022 "5. Title and Subt itlc 1972 Survey and Assessment of Air Pollution Damage to Vegetation in New Jersey 7. Author(s) Eva J. Pel 1 9. Performing Organization Name and Address Rutgers - The State University Department of P ant Biology College of Agriculture and Environmental Science New Brunswick, New Jersey 08903 12. Sponsoring Organization Name and Address ENVIRONMENTAL PROTECTION AGUCY Division of Ecological Research Research Triangle Park, North Carolina 27711 3. Recipient's Accession No. , 5- Report Date June 1973 6. 8. Performing Organization Rcpt. No. 10. Project/Task/Work Unit No. 11. Conflict /firanr No 68-02-0078 13. Type of Report & Period Covered 14. 15. Supplementary Notes 16. Abstracts The economic impact of air pollution on vegetation was studied for a second year, from May 1972 through May, 1973. Direct losses to agronomic croos and ornamental plantings were evaluated; crop substitution and indirect yield reduction were not accounted for. The total losses to these crops for 1972-73 amounted to $128,019. Forty seven percent of the plant damage was caused by oxidants, 18% by hydrogen fluoride, 16% by ethylene, k% by sulfur dioxide and 1% by anhydrous ammonia. Cumberland, Warren, Atlantic and Salem Counties sustained the greatest degree of injury. Damage reported in this survey was only 11% of that reported for 1971-1972 in New Jersey. Reduced loss es did not result from decreased air pollution concentrations but rather from altered environmental conditions. The unusual rainfall patterns in 1972 placed the plants under water stress and probably protected them from air pollution injury. The report also documents unknown problems, and assesses research needs. 17. Key tt'ords and Document Analysis. Mo- Descriptors Air pollution Ammonia Vegetat i on Ornament plants Vegetable crops Losses Economi cs Sulfur dioxi de Oxi di zers Hydrogen fluoride Ethylene 17b. Identificrs/Open-Endcd Terms Air pollution effects (plants) 17c. COSATI Fio Id /Croup I 3B 18. Avail.ibilily Statement Un1i mi ted 19. Security C.l.iss (This Report) ' 20. Security (.lass (This; Page: 22. Price FORM NTIS-.'iS (REV. 3-721 THIS FORM MAY HK REPRODUCI-H iJSCOMM-DC l fl ------- INSTRUCTIONS FOR COMPLETING FORM NTIS-35 (10-70) (Bibliographic Data Sheet based on COSATI Guidelines to Format Standards for Scientific and Technical Reports Prepared by or for the Fedeial Government, PB-180 600). 1. Report Number. Each individually bound report shall carry a unique alphanumeric designation selected by the performing organization or provided by the sponsoring organization. Use uppercase letters and Arabic numerals only. Examples FASEB-NS-87 and FAA-RD-68-09. 2. Leave blank. 3. Recipient's Accession Number. . Reserved for use by each report recipient. 4. Title and Subtitle. Title should indicate clearly and briefly the subject coverage of the report, and be displayed promi- nently. Set subtitle, if used, in smaller type or otherwise subordinate it 10 main tide. When a report is prepared in more than one volume, repeat the primary title, add volume number and include subtitle for the specific volume. 5- Report Dote. Each report shall carry a date indicating at least month and year. Indicate the basis on which it was elected (e.g., date of issue, date of approval, date of preparation. 6- Performing Organization Code. Leave blank. 7. Authors). Give name(s) in conventional order (e.g., John R. Doe, or J.Robert Doc). List author's affiliation if ii differs from the performing organization. . 8. Performing Organization Report Number. Insert if performing organization wishes to assign this number. 9. Performing Orgoniiotion Name and Address, dive name, street, city, state, and zip code. List no more than two levels ol an organisational hierarchy. Display the name of the organization exactly as it should appear in Government indexes such as USGROR-I. 10. Project/To»k/Work Unit Number. Use the project, task and work unit numbers under which the report was prepared. 11. Contract/Grant Number. Insert contract or grant number under which report was prepared. 12- Sponsoring Agency Name and Address. Include zip code. 13- Type of Report and Period Covered. Indicate interim, final, etc., and, if applicable, dates covered. 14. Sponsoring Agency Code. Leave blank. 15. Supplementory Notes. Enter information not included elsewhere but useful, such as: Prepared in cooperation with . . Translation of ... Presented at conference of ... To be published in ... Supersedes . . . Supplements . . . 16. Abstract. Include a brief (200 words or less) factual summary of the mosi significant information contained in the report. If the report contains a significant bibliography or literature survey, mention it here. 17. Key Words and Document Analysis, (a). Descriptors. Select from the Thesaurus of Hngineering and Scientific Terms (he proper authorized terms that identify the major concept of the research and are sufficiently specific and precise to he used as index entries for cataloging. (b). Identifiers and Open-Ended Terms. Use identifiers for project names, code names, equipment designators, etc. Use open-ended terms written in descriptor form for those subjects for which no descriptor exists. (c). COSATI Field/Group. Field and Group assignments are to be taken from the 1965 COSATI Subject Category List. Since the majority of documents are multidisc iplinary in nature, the primary Field/Group assignments) will be the specific discipline, area of human endeavor, or type of physical object. The application(s) will be cross-referenced with secondary Field/Group assignments that will follow the primary posting(s). 18. Distribution Statement. Denote releasability to the public or limitation for reasons other than security for example "Re- lease unlimited". Cite any availability to the public, with address and price. 19 & 20. Security Classification. Do not submit classified reports to the National Technical 21. Number of Pages. Insert ihc total number of pages, including this one and unnumbered pages, but excluding distribution list, if any. 22. Price. Insert the price set by the National Technical Information Service or the Government Printing Office, if known. FORM NTI3-33 (REV. 3-72) USCOMM-OC 149S2-P72 ------- |