Israel Journal of Plant Sciences Vol. 53 2005 pp. 155–166 An innovative contribution of landscape ecology to vegetation science VITTORIO INGEGNOLI Department of Biology, University of Milan, Via Celoria 26, Milan 20133, Italy (Received 10 July 2005 and in revised form 20 January 2006) ABSTRACT An expansion of the foundations of the theory of landscape ecology can relocate its different approaches in a deeper biological vision. To this purpose, I directed my efforts towards comprehension of the landscape and of its main component—the vegetation mosaic—as a proper biological system. As suggested by Naveh, I have revised landscape ecology according to new scientific paradigms, ranging from the Principle of Emerging Properties to the “order through fluctuation” processes. Considering that a landscape is much more than a set of spatial characters, I tried to focus its ecological elements and processes, proposing new concepts (e.g., ecocenotope, ecotissue), new functions (e.g., biological and territorial aspects of vegetation), and new applications (e.g., evaluation of vegetation, etc.). This improves vegetation science through (1) a critical review of the limits of phytosociology in studying the landscape, (2) a more coherent study of both natural and anthropogenic vegetation, (3) a better understanding of transformation processes, (4) a confirmation of the necessity to abandon deterministic concepts (e.g., potential vegetation), and, especially, through (5) a new capacity for landscape vegetation diagnosis. Keywords: vegetation science, landscape ecology, biological territorial capacity (BTC), ecotissue, ecocenotope INTRODUCTION Improving landscape ecology Today advancement in landscape ecology is particularly difficult. This young branch of ecology needs to synthesize and advance beyond the different approaches its founders have given to it, primarily Naveh and Lieberman (1984, 1994) and Forman (1986, 1995). Such an effort needs to study the landscape as a living entity. The landscape is much more than a set of spatial characters: it is a proper level of the hierarchy of life organization. To a certain extent, Naveh and Forman stated that the landscape may be defined as a living system, but they never put this crucial concept at the base of the entire discipline of landscape ecology. Therefore, following the definition of landscape as a living entity, we may observe that (1) the theoretical suggestions of Naveh and Lieberman (1984, 1994) about the importance of new scientific paradigms in landscape ecology led to a revision of some ecological elements and even to new concepts, and (2) practical applications result in a wider set of methods, consistent with the theoretical principles. One of the major consequences of widening the foundation of landscape ecology involves vegetation science. The main component of a landscape is vegetation, the most important controller of the flux of energy and matter. Vegetation communities usually form the main mosaic of the landscape. E-mail: [email protected] © 2005 Science From Israel / LPPLtd., Jerusalem 156 Limits of phytosociology At present, vegetation is defined as a set of living plant individuals, growing in a certain site in their natural disposition (Westhoff, 1970). In Europe, the study of vegetation is mainly founded on phytosociology (Braun-Blanquet, 1928) and (for the landscape) on geosynphytosociology (Biondi, 1996). But, beginning with Naveh and Lieberman (1984), many scientists realized the inadequacy of phytosociology in studying landscape. The principal weaknesses of phytosociology include the following points: 1. After about 80 years of investigations there was no true innovation in the method of phytosociology. Thus phytosociological results became more and more incompatible with modern developments of science (Pignatti et al., 2002). Indeed, this line of investigation concentrated mostly on description of communities. 2. It is impossible to properly show the order existing in a vegetation community only through a floristic description (e.g., phytosociologic tables, Pignatti et al., 1998). On the other hand, if the shorter algorithmic description of a system coincides with the description of the entire system, the system has to be classified as a chaotic one (Pignatti et al., 1998). But vegetation is not a chaotic system! 3. Classic phytosociology describes a typology of an idealized “natural” assemblage of plants rather than a study of vegetation in its full reality. It does not consider the coevolution and the interaction of vegetation with man and the resulting new coenosis of anthropogenic vegetation. 4. Until now, even in the representation of the ecological space, it has not been considered that an association must have an information content that is greater than the sum of the information acquired by the component species. This is due to the Principle of Emergent Properties (Odum, 1989), which allows a vegetation coenosis to become an attractor in its context (the landscape), where it evolves and has to sustain a role (Ingegnoli, 2002). Thus phytosociology gives insufficient information for studying a complex living system like a landscape. For this purpose the contribution of landscape ecology to vegetation science is needed. This may be the main reason why Zev Naveh (personal communication) was the first to request that I write a scientific text on landscape ecology, (Ingegnoli, 2002). In this paper I present a brief synthesis of the new paradigms expanding the theoretical foundation of landscape ecology, as well as some of the methods available Israel Journal of Plant Sciences 53 2005 in studying vegetation. Two examples of natural and human environments are presented: (1) the vegetation of the Venice lagoon, and (2) the forested landscape unit of the Lavazé Pass (Trentino–AltoAdige). NEW PARADIGMS AND NEW CONCEPTS Hierarchic levels of life and their characters Organisms or very complex self-organizing systems need to exchange material and energy with the environment. They are able to perceive and process information, to transform and reproduce themselves, to have their history, and to participate in evolution. Life cannot exist without the presence of its environment. Life and its environment are a unique system, because the conditions allowing life are necessary both inside and outside an adapted distinguishable entity, like an organism. That is why the concept of life is not limited to a single organism or to a group of species, and why we describe life organization in hierarchic levels. The landscape is one of these levels. Concerning this argument there is still some confusion. Organism and population generally correspond to quite definite ranges of scale, if we consider their vital space per individual and their minimum habitat, respectively. The upper part of the “biological spectrum” (sensu Odum, 1971) also presents a quite definite range of scale corresponding to ecoregions and ecosphere. Problems arise in the middle part of the biological spectrum, concerning communities, ecosystems, and landscapes. For many scientists these are usable levels at almost any scale (Allen and Hoekstra, 1992; Wiens and Moss, 1999), or at least they occupy the same wide range of scales. This is in contrast with the Principle of Emerging Properties, which affirms that the whole is greater than the sum of its components. Philosophically this was expressed by the epistemological school of Gestalt (i.e., perception of the form; Lorenz, 1978; Naveh and Lieberman, 1984). The differences among communities, ecosystems, and landscapes seem to be mainly in criteria of observation. There are three parallel hierarchies (Ingegnoli and Giglio, 2005), based on the biotic, on the environmental, and on the ecological (integrated) criterion. The last one is able to integrate the first two, since any ecological system must include both a biological element and its environment. Therefore, it seems probable that we have to consider two hierarchic levels in the middle biological spectrum: (1) the ecological system, composed of the community (biotic view), the ecosystem (functional view), and the microchore (i.e., the spatial contiguity characters, sensu Zonneveld, 1995), which we will name ecocoenotope, and (2) the landscape, formed by 157 a system of interacting ecocoenotopes. Consequently, a landscape can be defined as a system of intertwining and coevolving natural and human ecocoenotopes repeated in a characteristic way over the land. No doubt some of the characters of community and ecosystem are available also at landscape level, and that the inverse is also true. Only reductionism pretends to separate all the characters related to each level. In contrast, we can note that each biological level presents unique characters and exportable characteristics. For example, processes allowing the definition of life are exportable characteristics: each specific biological level expresses this process in a unique way, depending on its scale, its structure, its functions, and its amount of infor- mation. Each system that presents unique characteristics is an entity. We can find properties uniquely characterizing cell, organism, population, ecocoenotope, landscape, ecoregion, and ecosphere. That is why we cannot describe the behavior of a landscape merely by scaling up an ecological system of communities (Fig. 1). The landscape level and its main structure To study the behavior of a landscape it is useful to focus on the main landscape apparatuses. The definition of landscape apparatus (Ingegnoli, 2002) concerns functional systems of “tesserae” and/or ecotopes that form specific configurations in the complex mosaic (i.e., ecotissue) of a landscape. But how can we define a tes- Fig. 1. Flow diagram representing (above) a plant community (i.e., association) according to Pignatti (1996). Note the two main complementary cycles: integration of spatial niches and formation of vegetation layers and humus. Below, the representation of a system of plant communities (Ingegnoli, 1997), the main difference with that above being the cycle related to the transformation of the ecotissue. Ingegnoli / Landscape ecology’s contribution to vegetation science 158 sera and an ecotope in this new perspective? A tessera is the smallest homogeneous unit visible at the spatial scale of a landscape, multifunctional but tridimensional. It corresponds to the old definition of ecotope (as the sum of physiotope and biotope) and it may represent the hierarchical level of ecocoenotope. In contrast, an ecotope is the smallest multidimensional unitary element that presents all the structural and functional characters of the concerned landscape. It is the minimum system of interdependent tesserae (Ingegnoli, 2002). A landscape subsystem formed by a set of tesserae of the same landscape function (e.g., protection) can be considered a landscape apparatus. A primary well-known landscape function is represented by the survey of human habitat (HH) versus natural and semi-natural habitat (NH). The HH can be defined as the whole area in which human populations live or manage permanently, limiting or strongly influencing the self-regulation capability of natural systems. Self-regulating and near-natural ecosystems (i.e., almost unchanged after human abandonment) are NH. In landscape ecology the management role of human populations—if not directed against nature—may be considered as a semi-natural function. Life processes and systemic attributes As expressed by some scientists (Ingegnoli, 1980, 1993, 2001, 2002; Naveh and Lieberman, 1984,1994; Naveh, 1987; Leser, 1997; Meffe and Carrol, 1997), the landscape presents life processes and systemic attributes of a self-organizing system at each biological level. Consequently a landscape (1) follows non-equilibrium thermodynamic, and (2) is subjected to the irreversibility of time, the Principle of Emerging Properties, the ‘order through fluctuation’ process (Prigogine and Nicolis, 1977; Naveh and Lieberman, 1984, 1994; Ingegnoli, 1991, 1993, 2002; Prigogine, 1996). Focusing our attention on the main transformation processes concerning the landscape, let us review the main aspects: Hierarchical structuring. The behavior of a landscape and of all ecological systems is limited by (1) the potential behavior of its components (lower level of scale), and (2) the constraints of the environment (upper level of scale). These conditions represent the field of existence in which the system of ecocenotopes must reside. Metastability. An ecological system can remain within a limited set of conditions, but it may present alterations if these conditions change. The system may cross a critical threshold, approaching even radical changes (Ingegnoli, 2002). Therefore, different types of landscapes may be correlated with diverse levels of metastability. Israel Journal of Plant Sciences 53 2005 Non-equilibrium thermodynamic. Thermodynamic bonds may determine an attractor that represents a condition of minimum external energy dissipation in its proper field of existence. Possible macro-fluctuations produce instabilities that move the system towards a new organizational state. This new state allows an increase of dissipation and moves the system towards new thresholds to reach a new attractor. All this could be represented as a cybernetic process of “order through fluctuation”. Evolutionary changes. The structuring of every biological system may be reached (i.e., the information may be transmitted) only if the final state of the system considered is less unstable (i.e., more metastable) than its initial state. The modalities by which these processes are realized may be different and not limited to a single scale. Coevolution. The history of the interactions among the elements of a landscape in a given locality shows a particular dominion that is characterized by the coherence of the reciprocal adaptation of the elements themselves. This process leads to a stabilization of the different homeostatic capacities of a landscape, which may be expressed with a particular degree of metastability. Reproductive processes. Each level of life organization presents typical reproductive components: (1) a system that maintains information, (b) a mutation, (c) a protection of renewed elements, (d) a selection phase, and (e) a crucial disturbance eliminating the old structure. Therefore a landscape is able to reproduce itself. Ecological Reproduction At the organizational level of landscape, or of ecocoenotope, how does reproduction occur? There is no doubt that it is different from the same processes at organism level; nevertheless it has to occur. Information to be transmitted has to be circumscribed in time and space, e.g., in a propagule-bank. An outbreak effect must appear, for example, a “zero event” (Oldeman, 1990) or “crucial disturbance” (e.g., fire), allowing the “propagula” to substitute previous organic structures. For instance, through the renewal of the tesserae forming an ecotope, a landscape may reproduce itself, following the typical sequence of reproductive processes (Table 1). From the point of view of vegetation science we have to underline the concept of ecological memory (Bengtsson et al., 2003). It could be divided into a within-patch memory and external memory to show the different ecological processes. The within-site processes can be viewed as assembly rules (e.g., propagule-bank, biological legacies, etc.), while among-site processes may include such landscape functions as 159 Table 1 Comparison of the main processes of reproduction of an animal population and of a landscape minimum unit Population renewal Reproduction process Ecotope renewal Predisposed gonads Reservoir of information Ecological memory (e.g., propagule bank) Chromosome crossing over Mutation Nest or parental cares Young structure protection Death, often deferred Old structure death Competition and predation Selection dispersal filters, pioneer belts, old tree sources, distance from source, and range of disturbances. Crucial disturbances can be natural or human. Re-colonization also plays an important role in selfreproduction. Pioneer phases tend to be stochastic, but pioneer dynamics are oriented by strain conditions that depend on the structure and dynamic of the landscape unit. Time has a considerable functional importance: therefore, the recreative phases of the elements of a specific landscape have to avoid too-rapid transformations. Even human colonization is able to reproduce typical ecotopes and landscapes almost all over the world. In doing this, cultural tradition plays an important role, even in an ecological sense. NEW FUNCTIONS AND NEW METHODS Crucial importance of vegetation in the evaluation of a landscape In reality, landscape ecology cannot represent the complexity of the landscape level only through an ecological mosaic. The new disciplinary model proposed by Ingegnoli (2002) is based on the ecotissue (or ecological tissue) concept, a complex multidimensional structure built up by a main mosaic (generally formed by the vegetation coenosis) and a hierarchic set of correlated and integrated mosaics and information of different temporal and spatial scales. The role of vegetation coenosis is in accordance with a non-equilibrium thermodynamic. Whereas an energy concentration (i.e., photosynthetic plants) produces structure and organization in a landscape matrix with increasing entropy, the “order through fluctuation” process creates a patch that acquires a specific landscape role. This may be the principal way through which ecological systems become heterogeneous (Ingegnoli, 1980, 1999; Forman and Moore, 1991). Consequently, a correct evaluation of the ecological state of a landscape is impossible without the evaluation of its vegetation. But this evaluation has to be in accordance with the above-mentioned landscape ecological principles, as follows: Local disturbances Nursery niches Competition and predation Crucial disturbance 1. First of all, the definition of vegetation must be: the complex of the plants of a landscape element, considered in their aggregation capacities and in their relations with environmental factors. Therefore, a cultivated tessera has to be considered as vegetation not only for its weeds (e.g., Secalinetea, Chenopodietea), but even for the cultivation itself (e.g., Triticum aestivum, Hordeum vulgare), without which the weeds do not succeed and the tessera does not become the habitat for many natural species (e.g., Coturnix coturnix, Alauda arvensis). Besides, this type of vegetation is a crucial ecological component for human populations. 2. Therefore, the following statement: “Vegetation is organized in communities” (Pignatti et al., 2002) (Fig. 2) is necessary but not sufficient. Vegetation is organized in ecocoenotopes and in systems of interacting ecocoenotopes (i.e., landscape), thus involving both the hierarchic levels of the middle biological spectrum. Consequently, in Fig. 1 we may observe the emergence of other processes impossible to consider at the community level, e.g., the ecotope web, patch conditions, landscape disturbances, etc. 3. Finally, the processes of transformation of vegetation need to be synthesized following the studies of Falinski (1998) modified by Ingegnoli (2002), as shown in Table 2. The main processes are (1) Steady attractor, (2) Transitory variations, (3) Instability processes, (4) Destructive processes, (5) Recreative processes. Thus, a complete understanding of the transformation modalities of the vegetation in a landscape need a proper ecological function able to quantify these changes. The biological territorial capacity of vegetation The linkage between the ecological balance of a landscape and the ecological metastability has a very important dynamic significance. Trying to evaluate the metastability of a landscape, one has to refer to the concept of biodiversity (in this case, landscape diversity) and to the concept of latent capacity of homeostasis of an ecocoenotope. We start from this second concept. Ingegnoli / Landscape ecology’s contribution to vegetation science 160 Table 2 Main transformation processes in vegetation Transformation Development phase Main processes Main results 1. Steady attractor maturity steady fluctuation 2. Transitory variations maturity or near maturity & adult gradual and recurrent exchanges of components incorporation of disturbances senescence or alteration out of scale disturbances (non-incorporation) 3. Instability processes 4. Destructive processes 5. Recreative processes growing & maturity successional new variations on transitory variations renewal and reproduction, through inner and context sources Referring to the vegetation of an ecocoenotope, it is possible to define a synthetic function, named biological territorial capacity or BTC (Ingegnoli, 1991, 1993, 1999, 2002; Ingegnoli and Giglio, 1999), on the basis of (1) the concept of resistance stability (Odum, 1971); (2) the principal types of ecosystems of the ecosphere (Whittaker, 1975); and (3) their metabolic data (biomass, gross primary production, respiration, R/PG, R/B) (Duvigneaud, 1977; Piussi, 1994; Pignatti, 1995). We can elaborate two coefficients: ai = (R/GP)i/ (R/GP)max bi = (dS/S)min/(dS/S)i where R is the respiration, GP is the gross production, dS/S is equal to R/B and is the maintenance/structure ratio (or a thermodynamic order function; Odum, 1971, 1983), and i are the principal ecosystems of the ecosphere. The factor ai measures the degree of the relative metabolic capacity of the principal ecosystems; bi measures the degree of the relative antithermic (i.e., order) maintenance of the principal ecosystems. We know that the degree of homeostatic capacity of an ecocenotope is proportional to its respiration (Odum, 1971, 1983). So through the ai and bi coefficients, even related in the simplest way, we can have a measure that is a function of this capacity: BTCi = (ai + bi ) Ri w where w is a necessary variable to consider the Principle of Emergent Property and to compensate the environmental difficulties. It is possible to calculate an ecological index based on the BTC function. The values of this BTC index, associated with the statistical data on the landscape, allow the recognition of regional thresholds of landscape replacement (i.e., metastability thresholds) and of the transformation modalities controlling landscape changes, even under human influence. Israel Journal of Plant Sciences 53 2005 degeneration or regeneration phases unpredictable transformations degradation or even death seldom forecasted results, because of the bifurcations in non-equilibrium dynamics An integrative approach to study vegetation Landscape ecology criticizes other aspects linked with the phytosociological method. For instance, the attempt to replace the dogmatic climax concept with the more meaningful “potential natural vegetation” is not satisfactory for landscape studies because the word “potential” is intended to represent undisturbed conditions in an indefinite time. The proposal of Ellenberg (1974), to distinguish among zonal, extrazonal, and azonal vegetation, is again not sufficient for landscape ecological theory and therefore even for vegetation science. Ellenberg (1978) already perceived the ecosystem and the human dual parts in the structure of a landscape, and Naveh and Lieberman (1984) pointed out that Walter (1973) proposed to determine plant formations and types not only in their floristic aspect but also in their stability, structure, human influence, diversity, productivity, etc. The reasons for this criticism derive from the self-organization processes, when the role of disturbances is seen as structuring and when the transgressions in a linear succession are based on the interaction among landscape elements even in the same zonal area. Remember that the way to evaluate the vegetation on the basis of its ecological distance from the potential vegetation is not correct in landscape ecology because we cannot imagine a potential landscape reduced to very few (sometimes only one or two) types of vegetation. This is in contrast with all the main processes and dynamics of the landscape! It is a sort of “virtual ecology”! In fact, it clashes with the non-equilibrium thermodynamic principle and the processes of self-organizing systems. Therefore, the concept of potential vegetation has to be changed. It has to be defined not only for natural cases but also in relation to the main range of landscape disturbances (including man) and with defined temporal 161 conditions. It must never be considered as the optimum for a certain landscape (or part of it). It could be better named fittest vegetation. This concept indicates the most suitable or suited vegetation to (1) the specific climate and geomorphic conditions of a certain limited period of time in a certain defined place, (2) the main range of incorporable disturbances (including man’s), and (3) natural or unnatural conditions. This is a considerable change of perspective. Note that it serves also to eliminate, or at least to declassify, the concept of primary succession and to change the concept of vegetation dynamics itself. Consequently, phytosociology can be utilized only if it is integrated with other methods, especially concerning landscape ecological characters. The vegetation units should be studied by gathering the following information: (1) site data, geographic coordinates, altitude, slope, climate, substrate, etc.; (2) descriptors of biological components of the vegetation community, i.e., height, stratification, biomass, biological forms (sensu Box, 1987), green area index, interrelation with the landscape, etc.; (3) consequences of human actions, stress, forest exploitation, grazing, risks, endangered species, history, etc.; and (4) landscape parameters, i.e., metastability, boundary connections, disturbances incorporation, tessera characters, etc. The characters relating the vegetation to the landscape can be proposed in three forms: (1) a set of parameters (six to eight) measuring the relation between a vegetated patch and the landscape through an ecogram (i.e., radar plot), (2) a survey schedule for a vegetated tessera (see below), and (3) the evaluation of the biological territorial capacity of a vegetated tessera (or ecotope) with BTC indexes. The evaluation of vegetation in landscape ecology As emphasized before, the importance of vegetation analysis and evaluation in landscape ecology is extremely high, but it needs a proper methodology. One of the useful methods in which vegetation characters can be related to landscape ecology is through a standard form (or “survey schedule”, a proper one for each type of vegetation) for the evaluation of a vegetated tessera. The schedule (an example is shown in Table 5) has been designed to estimate the metastability of a tessera, considering both “general ecological” and “landscape ecological” characters: T = landscape element characters (e.g., tessera); F = plant biomass above ground; E = ecocoenotope parameters; U = relation among the elements and their landscape parameters. The parameters for each T,F,E,U group range from 2 to 12, thereby reaching the number of about 26–32. The evaluation classes are four: the weights per class depend on an evaluation model representing the selforganization level and the metabolic potentiality related to a system of ecosystems (Ingegnoli, 2002). This model was built on the basis of the well-known relationships among gross productivity, net productivity, and respiration in vegetation ecosystems (Odum, 1971; Duvigne- Table 3 Evaluation equations of biological territorial capacity (BTC) ranked for the main vegetation types available in Europe Vegetation types Schlerophyll forest Reference max. value of BTC Maturity thresholds (years) BTC evaluation equations (Mcal/m2/year) 13.0 120–150 0.01705 (y-28) + 0.13 (pB/60) Temperate forest 12.0 Medit. pine forest 10.5 100–130 7.5 70–110 Boreal alpine forest Corridors with trees Urban gardens Wooden agrarian Tall shrubs Low shrubs Reed thicket Wet prairie, bogs 11.0 8.5 4.5 4.0 2.6 2.5 2.0 120–150 120–150 90–130 25–45 30–40 25–35 36–48 25–30 Agricultural fields 1.9 10–20 Salt marshes, prairie 1.2 15–20 Prairie and pasture 1.4 20–24 0.01667 (y-28) + 0.13 (pB/65) 0.01339 (y-28) + 0.12 (pB/70) 0.01510 (y-28) + 0.12 (pB/65) 0.0072 (y-33) + 0.10 (pB/75) 0.00526 (y-30) + 0.10 (pB/45) 0.00575 (y-29) + 0.15 (pB/35) 0.00344 (y-30) + 0.10 (pB/17) 0.00247 (y-30) + 0.03 (pB/0.2) 0.0023 (y-29) + 0.04 (pB/0.3) 0.0016 (y-29) + 0.02 (pB/0.14) 0.00192 (y-26) + 0.09 pB 0.001335 (y-29) + 0.02 (pB/0.14) 0.0026 (y-28) + 0.10 (pB/1.4) Data from: Ingegnoli, 2002; Ingegnoli and Giglio, 2005. y = total score of the survey schedule, pB = measured value of plant biomass in each examined tessera. Ingegnoli / Landscape ecology’s contribution to vegetation science 162 aud, 1977). Therefore the development of a vegetation community shows (1) an exponential growing phase from young adult to maturity, and (2) a logarithmic growing phase from maturity toward old age. Each curve presents in the transition phase (1–2) its own BTC values, defined after a control through the field study of critical points referred, for instance, to plant biomass relations, and structural and ecological parameters. These schedules are very useful to verify a level of quality (Q) and to estimate the biological territorial capacity (BTC) of the vegetation through a proper equation (Table 3). At present, 10 standard forms have been elaborated and tested, concerning 14 types of vegetation both natural and human (Table 3). Schedules and results can be utilized both in evaluation studies (allowing the possibility to detect evidence of recurrent negative characters) and in therapeutic ones (permitting one to choose parameters needing an intervention and to measure and control the results). EXAMPLES AND RESULTS Evaluation and diagnosis A clinical-diagnostic method is indispensable to study a complex living system like a landscape. To acomplish this we have to compare the ecological data with a series of “normal behaviors”. An ecological diagnosis depends on the comparison between the conditions of the system examined and the conditions of the state considered a normal one for this type of ecosystem. Therefore, this assessment needs the integration of local and species parameters. The new functions and the new methods presented in this paper enhance the diagnostic evaluation of the ecological state of the systems examined, as we will present in two abstracts of case studies. Evaluation of the vegetation of the Venice lagoon This preliminary research deals with a very complex situation: the ecological state of the landscape of the Venice lagoon. The study was commissioned by the Venice Water Authority (Magistrato alle Acque di Venezia) and the CVN (Consorzio Venezia Nuova) (Ingegnoli, 2003). I will summarize here only some of the research related to the evaluation of the vegetation of the landscape. Figure 2 shows the seven groups of vegetation types of the lagoon landscape. In the last century this vegetation has been considerably reduced in its surface (Fig. 2), especially in the natural components (salt marshes or “barene”), and simplified in the anthropogenic components (total decrease of woody agrarian). In this framework, it is of crucial importance to evaluate the landscape vegetation (both natural and anthropogenic). A summary of the present qualities (Q) and biological territorial capacity (BTC) of the main vegetation types of the lagoon is presented in Fig. 2: the natural and semi-natural vegetation reaches 27.9% of the vegetated areas (in total 37.6%), therefore only 10.5% of the landscape area, with a medium quality (50.5%) and a low BTC (0.59 Mcal/m2/year). This is Fig. 2. The surface covered by the main groups of vegetation of the Venice lagoon landscape and its dynamic in the last century. Note the decrease of the total vegetated areas, especially of the salt marshes or “barene”. This important natural vegetation is composed of three main alliances: Puccinellio-salicornion, Thero-salicornion, and Juncion maritimi (Pignatti, 1966). Israel Journal of Plant Sciences 53 2005 163 Fig. 3. Synthesis of the evaluation of the main landscape vegetation groups of parameters derived from the “barene” (salt marshes) schedule after nearly 60 surveys (Ingegnoli and Giglio Ingegnoli, 2004). Table 4 Synthesis of some of the most significant landscape ecological parameters referred to the preliminary study of the Venice lagoon landscape (Ingegnoli, 2003) Main landscape ecological parameters 1900 Year 1950 2000 Re-balance targets Habitat ratio, HH/NH (%) 36.9 59.8 61.7 60 ÷ 61 28.5 19.0 11.0 BTC (Mcal/m /year) 2 Salt marshes/tidal area Deviation from HH/BTC model (%) Resistant apparatus (woods) RNT (%) Ecotonal vegetation belts ETN (%) Landscape diversity ratio ψ/τ 0.51 –23.5 1.99 7.32 2.24 0.35 –26.1 1.40 3.95 2.51 0.29 –27.5 1.76 4.24 3.14 0.38 ÷ 0.40 18 ÷ 20 ± 15 4÷5 7÷8 2.2 ÷ 2.4 ψ landscape ecological index of structural diversity, considering landscape element types (Ingegnoli and Giglio, 2005); τ landscape ecological index of functional diversity, considering both heterogeneity and information among classes of vegetated tesserae (Ingegnoli, 2002). due to the dominance of underwater grasslands (Zostera and Cymodocea sp.) and of Limonieta salt marshes (Limonietum venetum Pignatti 1966), while the lagoon margins present few remnant wood patches and tree corridors. In Fig. 3, we can see in detail the synthesis of the main parameters of landscape vegetation related to salt marshes (“barene”). Even in the most positive scenario, only the ecocenotope parameters reach a good evaluation level (80%), while the tessera parameters remain about 45% of the best possibility. The evaluation of the landscape vegetation represents the most important way towards the comprehension of the criteria of restoration of the Venice lagoon landscape, as shown in Table 4, where the dynamics of the main landscape parameters during the last century are compared with re-balance ecological targets. These comparisons depend on the building of ecological models in which the diagnostic evaluation of vegetation is essential (Ingegnoli, 2002). Not one of the present values of the examined landscape is acceptable. Ingegnoli / Landscape ecology’s contribution to vegetation science 164 Evaluation of the forested landscape of the Lavazè Pass The small landscape unit (LU) of the Passo Lavazè (173 ha) in the Western Dolomites (1800 m a.s.l.) is formed by 4 ecotopes, 3 of which are forested (HomogynoPiceetum Zukrigl 1973). This LU presents a quite high level of BTC (4.76 Mcal/m2/year) with an HH/NH ratio equal to 0.36 according to the ecological values of a semi-natural landscape. An example of the survey schedule proposed by the above-mentioned method of Ingegnoli (Ingegnoli, 2002) is presented in Table 5, referring to one of the evaluated forested tesserae. The result is a total score (Y) equal to 513, the quality (Q) equal to 73.3%, and Table 5 Forest permanent plot TRE1 (Lavazè Pass, Alps) Piceion abietis, 1,800 m a.s.l. Boreal Forest 1 5 14 25 score <9 <30 low none simple coppice < 80 9.1–18 >90 medium <30 coppice 81–160 18.1–29 31–60 good 31–89 wood 161–240 >29.1 61–90 high >90 natural forest >240 Canopy Ts surface Age, space groups, etc. (% Ts) Or similar Old trees near 0 near 0 <200 >10 <1.5 201–500 1–5 1.6–3.5 501–950 5–10 >3.5 >950 % of living biomass cm pB = 696 m3/ha >3 <15 <5 >10 near all evident <3 2 none degradation 3 16–30 6–40 10–4 >25 suspect 4–5 3 intense recreation 2 31–40 41–80 <4 <25 risk 6–7 4 sporadic regeneration 1 >40 >80 0 0 0 >7 >4 normal fluctuation As pB volume n° sp./Tessera Phytosociological From other ecoregions Coverage on Ts Even acid rain damage Cfr. Box, 1987, mod. Traditional Dominant species Cfr. Ingegnoli, 2002 <25 neutral minor scarce partial medium gradual changes near chronicle 100–300 26–75 partial evident normal risk good temporal instabilities easy to incorporate 300–1200 >76 source important high none attraction fluctuation none % of perimeter Species and resources Context and typology Local disturbances On the phisiotope Key species Today + tendency From landscape >1200 Historical presence w = 11 Y = 513 Q = 73.3 [%] BTC = 7.69 [Mcal/m2/a] T. Tessera characters (Ts) T1. T2. T3. T4. T5. T6. Vegetation height (m) Cover of the canopy (%) Structural differentiation Interior/edge (%) Management Permanence (years) F. Vegetational biomass (above ground) F1. Dead plant biomass F2. Litter depth F3. Biomass volume (m3/ha) E. Ecocenotope parameters E1. Dominant species (n°) E2. Species richness E3. Key species presence (%) E4. Alloctonous species (%) E5. Infesting plants (%) E6. Threatened plants E7. Biological forms (n°) E8. Vertical stratification E9. Renewal capacity E10. Dynamic state U. Landscape unit (LU) parameters U1. Similar veg. contiguity U2. Source or sink U3. Functional role in LU U4. Disturbances incorporation U5. Geophysical instabilities U6. Permeant fauna interest U7. Tranformation modalities of the Ts U8. Landscape pathology interference U9. Permanance of analogous vegetation (years) 0 sink reduced insufficient evident low strong distubances serious <100 Results of the survey Total score Y (= h+j+k+w) Quality of the Ts Estimation of the BTC J=0 K = 17 Q = Y / 700 BTC (b) = 0,01339 (y–28) + 0,12 (pB / 70) h=0 Israel Journal of Plant Sciences 53 2005 165 Fig. 4. Values of the main ecological sets of parameter measured with the mentioned survey schedule in percentage of their normal optimum state. Case study: the landscape unit of Lavazè Pass (Trentino–AltoAdige), after the survey of 11 forested tesserae. the BTC equal to 7.69 Mcal/m2/year. Moreover, the first set of characters (T) reaches 70.67% in quality, while the qualities of (F), (E), and (U) are 56%, 82.4%, and 70.67%, respectively. In this case study, the main values resulted after the evaluation of all the forested tesserae are reported in Fig. 4. The results are better than the case presented in the salt marshes of the Venice lagoon. The difference between the best and the worst surveyed tesserae is remarkable. Note that the ecocenotope parameters are quite good in every tessera. This is a relevant observation, because these are the traditionally measured parameters while the other sets (presenting a different ecological state) usually are not assessed. This diagnostic evaluation of the landscape vegetation allows one to propose therapeutic interventions in this landscape unit, based on the comparison with ecological models. It is now possible to answer questions like: Does the LU present an alteration syndrome? or What is the minimum number, extension, and position of forested tesserae to be preserved in a completely natural condition? CONCLUSIONS This paper tries to demonstrate that the advancement in landscape ecological theory leads to improving many aspects of vegetation science: (1) a more coherent study of both natural and anthropogenic vegetation; (2) a better evaluation of landscape metastability; (3) a better understanding of transformation processes; (4) a confirmation of the necessity to abandon deterministic concepts (e.g., potential vegetation, primary succession); and, especially, (5) a new capacity for landscape vegetation evaluation and diagnosis. The last one could be expanded further, into: (5.1), better possibilities of therapeutic intervention in nature conservation, and (5.2) more coherent building of ecological models that can link vegetation with other landscape parameters. ACKNOWLEDGMENTS Many sincere thanks to Elena Giglio Ingegnoli, Marco Ferraguti, and Linda Whittaker for the reviewing of the article and to Sandro Pignatti for the discussion on the limits of phytosociology. REFERENCES Allen, T.F.H., Hoekstra, T.W. 1992. Toward a unified ecology. Columbia University Press, New York. Bengtsson, J., Angelstam, P., Elmqvist, T., Emanuelsson, U., Folke, C., Ihse, M., Moberg, F., Nistrom, M. 2003. Reserves, resilience and dynamic landscapes. Ambio 32 (6): 389–396. Biondi, E. 1996. Il ruolo della fitosociologia nell'ecologia del paesaggio. In: Ingegnoli, V., Pignatti, S., eds. L'ecologia del paesaggio in Italia. CittàStudi, Milano, pp. 51–64. Box, E.O. 1987. Plant life forms and Mediterranean environments. Annali di Botanica XLV: 7–42. Braun-Blanquet, J. 1928. Pflanzensoziologie: Grundzuge der Vegetationskunde. Springer, Berlin, 330 pp. Ingegnoli / Landscape ecology’s contribution to vegetation science 166 Duvigneaud, P. 1977. Ecologia. In: Enciclopedia del Novecento. Enciclopedia Italiana Treccani, Roma (in Italian). Ellenberg, H. 1974. Zeigerwerte der Gefässepflanzen Mitteleuropas. Scripta Geobotanica 9, Göttingen, 1974. 2. Aufl. Ellenberg, H. 1978. Vegetation Mitteleuropas mit den Alpien in Oekologischer Sicht. Ulmer, Stuttgart. Falinski, J.B. 1998. Dioecious woody pioneer species in the secondary succession and regeneration. Phytocoenosis vol. 10 (NS). Supplementum cartographiae geobotanicae 4, Warszawa-Bialovieza. Forman, R.T.T. 1995. Land mosaics, the ecology of landscapes and regions. Cambridge University Press, UK. Forman, R.T.T., Godron, M. 1986. Landscape ecology. Wiley, New York. Forman, R.T.T., Moore, P.N. 1991. Theoretical foundations for understanding boundaries in landscapes mosaics. In: Hansen, A.J., di Castri, F., eds. Landscapes boundaries. Springer-Verlag, New York. Ingegnoli, V. 1980. Ecologia e progettazione. Cusl, Milano. Ingegnoli, V. 1991. Human influences in landscape change: thresholds of metastability. In: Ravera, O., ed. Terrestrial and aquatic ecosystems: perturbation and recovery. Ellis Horwood, New York, pp. 303–309. Ingegnoli, V. 1993. Fondamenti di ecologia del paesaggio. CittàStudi (Utet), Milano. Ingegnoli, V., ed. 1997. Esercizi di ecologia del paesaggio. Città- Studi, Milano. Ingegnoli, V. 1999. Definition and evaluation of the BTC (Biological Territorial Capacity) as an indicator for landscape ecological studies on vegetation. In: Windhorst, W., Enckell, P.H., eds. Sustainable landuse management: the challenge of ecosystem protection. EcoSys: Beitrage zur Oekosystemforschung, Suppl Bd 28: 109–118. Ingegnoli, V. 2001. Landscape ecology. In: Baltimore, D., Dulbecco, R., Jacob, F., Levi-Montalcini, R., eds. Frontiers of life. Vol. 4, Academic Press, New York, pp. 489–508. Ingegnoli, V. 2002. Landscape ecology: a widening foundation. Springer Verlag, Berlin. Ingegnoli, V. 2003. Studio preliminare sullo stato ecologico del paesaggio della laguna di Venezia. Relazione per CVNMagistrato alla Acque, Venezia. Ingegnoli, V., Giglio, E. 1999. Proposal of a synthetic indicator to control ecological dynamics at an ecological mosaic scale. Annali di Botanica LVII: 181–190. Ingegnoli, V., Giglio Ingegnoli, E. 2004. Proposal of a new method of ecologiucal evaluation of vegetation: the case study of the vegetation of the Venice lagoon landscape and of its salt marshes. Atti di Botanica n.s. Vol. IV: 95–114. Ingegnoli, V., Giglio, E. 2005. Ecologia del paesaggio: manuale per conservare, gestire e pianificare l’ambiente. Se, Israel Journal of Plant Sciences 53 2005 Gruppo Editoriale Esselibri, Napoli. Leser, H. 1997. Landschaftsökologie: Ansatz, Modelle, Methodik, Anwendung. Ulmer, Stuttgart. Lorenz, K. 1978. Vergleichende Verhaltensforschung: Grundlagen der Ethologie. Springer-Verlag, Berlin. Meffe, G.K., Carroll, C.R. 1997. Principles of conservation biology. Sinauer Associates, Sunderland, Massachusetts. Naveh, Z. 1987. Biocybernethic and thermodynamic perspective of landscape functions and land use patterns. Landscape Ecology 1 (2): 75–83. Naveh, Z., Lieberman, A. 1984. Landscape ecology: theory and application. Springer Verlag, Heidelberg. Naveh, Z., Lieberman, A. 1994. Landscape ecology: theory and application. Springer Verlag, Heidelberg. Odum, E.P. 1971. Fundamentals of ecology. Saunders, Philadelpia. Odum, E.P. 1983. Basic ecology. Brooks Cole, Pacific Grove, CA. Odum, E.P. 1989. Ecology and our endangered life-support systems. Sinauer Associates, Sunderland, Massachusetts. Oldeman, R.A.A. 1990. Forests: elements of sylvology. Springer, New York. Pignatti, S. 1966. La vegetazione alofila della laguna veneta. Istituto Veneto di Scienze, Lettere ed Arti. Vol. XXXIIIFasc. I, Venezia. Pignatti, S., ed. 1995. Ecologia vegetale. UTET, Torino. Pignatti, S.1996. Some notes on complexity in vegetation. J. Veg. Sci. 7: 7–12. Pignatti, S., Dominici, E., Pietrosanti, S. 1998. La biodiversità per la valutazione della qualità ambientale. Atti dei Convegni Lincei 145: 63–80. Pignatti, S., Box, E.O., Fujiwara, K. 2002. A new paradigm for the XXIth Century. Annali di Botanica II: 31–58. Piussi, P. 1994. Selvicoltura generale. Utet, Torino. Prigogine, I. 1996. La fin des certitudes. Temps, chaos et lois de la nature, Parigi, Odile Jacob. Prigogine, I., Nicolis, G. 1977. Self-organization in non-equilibrium systems. Wiley, New York. Walter, H. 1973. Vegetation of the Earth in relation to climate and the eco-physiological conditions. Springer-Verlag, Berlin. Westhoff, V. 1970. Vegetation study as a branch of biological science. Landbouwhogenschool Wageningen, Misc. Pap. 5: 11–30. Whittaker, R.H. 1975. Communities and ecosystems. Macmillan, New York. Wiens, J.A., Moss, M.R., eds. 1999. Issues in landscape ecology. Colorado State University Press, Ft. Collins, CO. Zonneveld, I.S. 1995. Land ecology. SPB Academic Publishing, Amsterdam.
© Copyright 2026 Paperzz