Chapter 21 Landscape Ecology

Thirteen centuries ago, an emperor of Japan named Jomei stood on the top of Mount Kagu in Nara Prefecture and looked out upon the surrounding lands. It was Jomei's custom, as it had been for previous emperors, to climb to the top of Mount Kagu each spring and survey the surroundings (fig. 21.1). Because he wrote the following poem, we know some of Jomei's thoughts:

      Countless are the mountains in Yamato,

      But perfect is the heavenly hill of Kagu;

      When I climb it and survey my realm,

      Over the wide lake the gulls are on the wing;

      A beautiful land it is, the Land of Yamato.

FIGURE 21.1 The views from hills and mountains, such as this one, were used traditionally in ancient Japan to survey the surrounding lands.

Tadahiko Higuchi (i983) cited this poem in his book on the visual and spatial structure of landscapes. He wondered about the significance of the emperor's trip to the top of Mount Kagu and asked, "Was he [the emperor] merely looking at the scenery, or did he have some other purpose?" We cannot answer Higuchi's question with certainty, but history may provide some clues.

Long before the emperor Jomei stood upon Mount Kagu, the people from agricultural communities all over Japan did something similar. Each spring, they climbed a hill near their communities and looked over the surrounding countryside. This custom is called kunimi, which means see (mi) the domain (kuni). The Chinese character for kuni, which shows an area surrounded by boundaries, suggests that the purpose of these excursions was to look over a particular property, probably the property owned by the community. Eventually, this ancient custom became more ritualized and was practiced exclusively by the leader of each community and then only by the emperor.

What were these emperors, community leaders, and farmers doing on their promontories each spring? What were they looking at? There are many possible reasons for the custom, including religious, esthetic, economic, and political reasons. Regardless of the precise origin and motivation for the ritual, the custom of "seeing the domain" was a source of information about the landscape upon which these people depended, information of potential value to emperor, community leader, or individual farmer alike.

Imagine yourself standing on the top of a mountain as Japanese emperors once did. What would you see on the surrounding plains? You would see villages, fields, paths, roads, streams, woods, and much more. What would you do with this information? From these heights you could see if fields were well kept, if seedling density was uniform across recently planted fields, if villages were well maintained, if forests were encroaching on cleared properties, and so forth. Ecologists define landscape ecology as the study of landscape structure and processes. Given this definition, kunimi, or domain viewing, may be the first written record of the practice of landscape ecology.

Though landscape ecology is young as a scientific discipline, people seem to have always placed value on a landscape perspective. The recent emergence of the discipline may be a rediscovery of the practical value of a landscape perspective for understanding and managing nature. The emergence of landscape ecology coincides with the widespread availability of aerial photos (fig. 21.2) and satellite images (fig. 21.3). These modem technologies offer overhead views of all landscapes, not just those, such as Jomei's landscape around Mount Kagu, that are conveniently located near heights.

FIGURE 21.2 Aerial photography has made the perspective sought by early Japanese emperors accessible on all landscapes, such as this agricultural landscape in Japan, not just those near heights such as Mount Kagu.

FIGURE 21.3 Images of the earth’s surface, such as this one of Japan, provide perspectives of landscapes not accessible even to emperors before the development of satellite-based remote sensing

Landscape ecology focuses on an organizational scale above that addressed by community and ecosystem ecology. To a landscape ecologist, a landscape is a heterogeneous area composed of several ecosystems. The ecosystems in a landscape generally form a mosaic of visually distinctive patches. These patches are called landscape elements. The elements in a mountain landscape typically include forests, meadows, bogs, streams, ponds, and rock outcrops. An agricultural landscape might include fields, fence lines, hedgerows, a patch of woods, a farm yard, and dirt lane. An urban landscape usually includes parks, industrial districts, residential areas, highways, and sewage treatment works.

Landscape ecologists study landscape structure, process, and change, In earlier chapters, we discussed structure, process, and change in populations, communities, and ecosystems. Structure, process, and change in landscapes form the core of chapter 21.

CONCEPTS

l        Landscape structure includes the size, shape, composition, number, and position of different ecosystems within a landscape,

l        Landscape structure influences processes such as the flow of energy, materials, and species between the ecosystems within a landscape,

l        Landscapes are structured and change in response to geological processes, climate, activities of organisms, and fire.

CASE HISTORIES: landscape structure

Landscape structure includes the size, shape, composition, number, and position of different ecosystems within a landscape.

Much of ecology focuses on studies of structure and process; landscape ecology is no exception. We are all familiar with the structure, or anatomy, of organisms. In chapter 9 we discussed the structure of populations, and in chapters 16 to 20 we considered the structure of communities and ecosystems. However, what constitutes landscape structure? Landscape structure consists mainly of the size, shape, composition, number, and position of ecosystems within a landscape. As you look across a landscape you can usually recognize its constituent ecosystems as distinctive patches, which might consist of woods, fields, ponds, marshes, or towns. The patches within a landscape form the mosaic that we call landscape structure

Most questions in landscape ecology require that ecologists quantify landscape structure. The following examples show how this has been done on some landscapes and how some aspects of landscape structure are not obvious without quantification.

The Structure of Six Landscapes in Ohio

In 1981. G. Bowen and R. Burgess published a quantitative analysis of several Ohio landscapes. These landscapes consisted of forest patches surrounded by other types of ecosystems. Six of the 10 km by 10 km areas analyzed are shown in figure 21.4. If you look carefully at this figure you see that the landscapes, which are named after nearby towns, differ considerably in total forest cover, the number of forest patches, the average area of patches, and the shapes of patches. Some of the landscapes are well forested, and others are not. Some contain only small patches of forest while others include some large patchs. In some landscapes, the forest patches are long and narrow, while in others they are much wider. These general differences are clear enough, but we would find it difficult to give more precise descriptions unless we quantified our impressions.

First, let’s consider total forest cover. Forest cover varies substantially among the six landscapes. The Concord landscape, with 2.7% forest cover, is the least forested, At the other extreme, forest patches cover 43.6% of the Washington landscape. Differences between these extremes are clear, but what about some of the less obvious differences. Compare the Monroe and Somerset landscapes (fig. 21.4) and try to estimate which is more forested and by bow much, Somerset may appear to have greater forest cover, but how much more? You may be surprised to discover that Somerset, with 22.7% forest cover, has twice the forest cover of the Monroe landscape, which includes just 11.8% forest cover (fig. 21.5). Thin substantial difference could mean the difference between persistence and local extinction for some forest species.

FIGURE 21.4 Forest fragments, shown as dark green, in six landscapes in Ohio (data from Bowen and Burgess 1981).

FIGURE 21.5 Percent forest cover in six landscapes in Ohio (data from Bowen and Burgess 1981).

Now let's examine the size of forest patches in each of the landscapes. Again, the median area of forest patches differs significantly across the landscapes. The smallest median areas are in the Monroe landscape. 3.6 ha, and the Concord landscape, 4.1 ha. The Washington landscape has the largest median patch area.

Now. look back at figure 21.4 and try to estimate which of the landscapes contains the greatest number, or highest density, of forest patches. The Somerset landscape, with 244 forest patches, has the highest patch density, and the Monroe landscape, with 180 patches, has the next highest density of forest patches. Obviously, the Concord landscape has the lowest density of forest patches, with only 46. The Boston landscape, with 86 forest patches, contains the next lowest density of forest patches.

Now let's look at a more subtle feature of landscape structure, patch shape. Bowen and Burgess quantified patch shape by the ratio of patch perimeter to the perimeter (circumference) of a circle with an area equal to that of the patch. Their formula was:

where:

        S = patch shape

        P = patch perimeter

        A = patch area

How do you translate differences in the value of this index into shape? If S is about equal to one, the patch is approximately circular. Increasing values of S indicate less circular patch shapes. High values of S generally indicate elongate patches and a long perimeter relative to area.

Bowen and Burgess calculated the shapes, S, for the forest patches in each of their landscapes and then determined the median shape for each (fig. 21 .6). The Concord landscape, with a median S of 1.16, contains the most circular patches of the six landscapes. The Washington landscape, with a median S of 1.6, contains the least circular patches. As we shall see in the next section, landscape ecologists have developed methods for representing landscape structure that go well beyond the classical methods used by Bowen and Burgess.

FIGURE 21.6 Relative shapes of forest patches in six landscapes in Ohio (data from Bowen and Burgess 198l).

Until recently, geometry, which means "earth measurement,'' could only offer rough approximations of complex landscape structure. Today, an area of mathematics called fractal geometry can be used to quantify the structure of complex natural shapes. Fractal geometry was developed by Benoit Mandelbrot (1982) to provide a method for describing the dimensions of natural objects as diverse as ferns, snowflakes, and patches in a landscape. Fractal geometry offers unique insights into the structure of nature.

The Fractal Geometry of Landscapes

During the development of fractal geometry, Mandelbrot asked a deceptively simple question: "How long is the coast of Great Britain?" This is analogous to estimating the perimeter of a patch in a landscape. Think about this question. At first, you might expect there to be only one, exact answer. For simple shapes with smooth outlines such as squares and circles, the assumption of a single answer is approximately correct. However, an estimate of the perimeter of a complex shape often depends upon the size of the measuring device. In other words, if you measure the coastline of Great Britain, you will find that your measurement depends upon the size of the ruler you use. If you were to step off the perimeter of Great Britain in 1 km lengths, which is like using a ruler 1 km long, you would get a smaller estimate than if you made your measurements with a 100 m ruler. If you measured the coastline with a 10 cm ruler you would get an even larger estimate of the perimeter. The reason that a larger ruler gives a smaller estimate is that the large ruler misses many of the nooks and crannies along the coast. These smaller features show up in estimates made with smaller rulers.

Mandelbrot's answer to his question about the British coastline was, "Coastline length depends on the scale at which it is measured!" We can see the ecological significance of this finding by considering some of its consequences to organisms. Bruce Milne (1993) measured the coastline of Admiralty Island off the coast of southeastern Alaska. He made his measurements from the perspective of two very different animal residents of the island, bald eagles and barnacles.

Milne considered how the measured length of Admiralty Island's coastline depends upon the length of the measuring device. Figure 21.7 plots ruler length on the horizontal axis and estimated length of coastline on the vertical axis. The straight line that joins the dots slopes downward to the right. As Mandelbrot suggested, the estimated coastline length decreases as ruler length increases.

FIGURE 21.7 Relationship between ruler length and the measured length of the coastline of Admiralty Island, Alaska (data from Milne 1993).

Now, what "ruler" are bald eagles and barnacles using? The distribution of eagle nests around Admiralty Island are about 0.782 km apart. This measurement of internest distance gives us an estimate of the length of coastline required by a bald eagle territory on the island. In contrast, barnacles range from 1 to a few centimeters in basal diameter and they are sedentary. Barnacles only need a small area of solid surface to attach themselves and are often packed side by side along a rocky shore. Milne estimated that an individual barnacle requires about 2 cm (0.00002 km) of coastline.

Milne assumed that the eagles are, in effect, using a ruler 0.782 km long to step off the perimeter of the island and that barnacles use a ruler 0.00002 km long. Milne's analysis estimates that from the eagle's perspective, the perimeter of Admiralty Island is just a bit over 760 km. However, to a barnacle stepping off the coastline with its tiny ruler, the perimeter is over 11,000 km! Any of us would probably have assumed that the barnacle population "sees" a lot more of the

spatial complexity around Admiralty Island. However, without Mandelbrot's fractal geometry, it would be difficult to predict that the difference in island perimeter for eagles and barnacles would be as great as 760 versus 11,000 km. At the conclusion of his analysis, Milne challenges us to imagine how long the coastline of Admiralty Island must be from the perspective of crude oil molecules. This is the length of coastline that determines the cost of a thorough cleanup after oil spills like that of the Exxon Valdez (fig. 21.8).

FIGURE 21.8 Perspective on landscapes: fractal geometry tells us that the length of coastline accessible to (a) the oil molecules spilling from the hold of an oil tanker, such as the Exxon Valdez (the larger ship shown in this photo) is much greater than that used by (b) bald eagles.

As in other areas of science, describing aspects of landscape structure, such as the length of the coastline of Admiralty Island or the size, shape, and number of forest patches in Ohio landscapes, is not an end in itself. Landscape ecologists study landscape structure because it influences landscape processes and change. These are the next topics in our discussion.

CASE HISTORIES: landscape processes

Landscape structure influences processes such as the flow of energy, materials, and species between the ecosystems within a landscape.

Landscape ecologists study how the size, shape, composition, number, and position of ecosystems in the landscape affect landscape processes. Though less familiar than physiological and ecosystem processes, landscape processes are responsible for many important ecological phenomena. In chapter 20, we saw how landscape structure, especially the location of shallow bedrock, controls the exchange of nutrients between subsurface and surface waters and local rates of primary production in Sycamore Creek, Arizona. As we will see in the following examples, landscape structure affects other ecologically important processes such as the dispersal of organisms, local population density, extinction of local populations, and the chemical composition of lakes.

Landscape Structure and the Dispersal of Small Mammals

Landscape ecologists have proposed that landscape structure, especially the size, number, and isolation of habitat patches, can influence the movement of organisms between potentially suitable habitats. Populations of many species occur in spatially isolated patches, with significant exchange of individuals among patches. The group of subpopulations living on such patches together make up a metapopulatlion. For instance, populations of desert bighorn sheep live in the isolated mountain ranges of the southwestern United States and northern Mexico, with individuals moving frequently among the ranges (fig. 21.9). The group of subpopulations of desert bighorn sheep living in an area such as the deserts of southern California constitute a metapopulation. The rate of movement of individuals between such subpopulations can significantly affect the persistence of a species in a landscape.

FIGURE 21.9 Fragmented landscapes: (a) the small isolated mountain ranges of the southwestern United Slates and northern Mexico provide habitats for populations of lb) desert bighorn sheep, which move frequently between the mountain ranges of the region.

Human activity often produces habitat fragmentation, which occurs where a road cuts through a forest, a housing development eliminates an area of shrubland, or tracts of tropical rain forest are cut to plant pastures. Because habitat fragmentation is increasing, ecologists study how landscape structure affects the movements of organisms, movements that might mean the difference between population persistence and local extinction.

James Diffendoffer, Michael Gaines, and Robert Holt (1995) studied how patch size affects the movements of three small mammal species: cotton rats, Sigmodon hispidus, prairie  voles,  Microtus  ochrogaster,  and  deer  mice, Peromyscus maniculatus. They divided a 12 ha prairie landscape in Kansas into eight 5,000 m2 areas. The prairie vegetation was mowed to maintain three patterns of fragmentation (fig. 21.10). The least fragmented areas consisted of large, 50 m by 100 m patches. The areas with medium fragmentation each contained 6 medium I2 m by 24 m patches. The most fragmented landscapes contained 10 or 15 small 4 m by 8 m patches.

FIGURE 21.10 Experimental landscape for the study of small mammal movements (data from Diffendorfer, Gaines, and Holt 1995).

The researchers predicted that animals would move farther in the more fragmented landscapes consisting of small habitat patches. In fragmented landscapes, individuals must move farther to find mates, food, and cover. They also predicted that animals would stay longer in the more isolated patches within fragmented landscapes. Consequently, the proportion of animals moving would decrease with habitat fragmentation.

    The rodent populations were monitored on the study site by trapping them with Sherman live traps twice each month from August 1984 to May 1992. When trapped for the first time, the sex of each individual was determined and the animal was fitted with an ear tag with a unique number. The researchers also weighed, recorded the location of, and checked the reproductive condition of each animal trapped. Over the course of their 8-year study, Diffendorfer, Gaines, and Holt amassed a data set consisting of 23,185 captures. They used these data to construct movement histories for individual animals in order to test their predictions. They expressed movements as mean square distances, a measurement that estimates the size of an individual's home range. A home range is the area that an animal occupies on a daily basis.

The behavior of two of the three study species supports the hypothesis that small mammals move farther in more fragmented landscapes. As predicted, Peromyscus and Microtus, living in small patches, moved farther than individuals living in medium or large patches (fig. 21.11). However the movements of Sigmodon in medium and large patches did not differ significantly.

FIGURE 21.11  Influence of patch size on small mammal movements within experimental landscapes (data from Diffendorfer. Gaines, and Holt 1995).

The proportion of Sigmodon, Microtus, and Peromyscus moving within the 5,000 m2 experimental areas supported the hypothesis that animal movements decrease with habitat fragmentation (fig. 21.11). A larger proportion of Sigmodon moved within large patch areas than moved within areas with medium patches. Because few Sigmodon were captured within small patch areas, their movements within these areas could not be analyzed. A larger proportion of Microtus and Peromyscus moved within large and medium patches than moved within small patches.

In summary, this experiment shows a predictable relationship between landscape structure and the movement of organisms across landscapes. As the following example shows, those movements may be crucial to maintaining local populations.

Habitat Patch Size and Isolation and the Density of Butterfly Populations

Ilkka Hanski, Mikko Kuussaari, and Marko Nieminen (1994) found that the local population density of the Glanville fritillary butterfly, Melitaea cinxia, is significantly affected by the size and isolation of habitat patches. The researchers studied a metapopulation of these butterflies on Aland Island in southwestern Finland. Their study site consisted of 15.5 km2 of countryside, a landscape consisting of small farms, cultivated fields, pastures, meadows, and woods (fig. 21.12). Within this landscape, habitat suitable for the butterfly consisted of patches of their larval food plant, Plantago lanceolata, which generally occurs in pastures and meadows.

FIGURE 21.12 Much of the landscape of southwestern Finland consists of a patchwork of pastures, meadows, and woods.

There were 50 patches of potential habitat within the study area. Forty-two of these patches were occupied by the butterflies in 1991. The patches ranged in area from 12 to 46,000 m2 and supported populations ranging from 0 to 2,190 individuals. The habitat patches also varied in their degree of isolation from other habitat patches. The distance from habitat patches to the nearest occupied patch varied from 30 m to 1.6 km. However, Hanski and his colleagues found that, from a statistical perspective, the best index of isolation combined distances to neighboring habitat patches and the numbers of butterflies living on those patches.

Habitat patch area influenced both the size and density of the populations. Total population size within a patch increased with patch area. However, population density decreased as patch area increased (fig. 21.13). Thus, though large habitat patches supported larger numbers of individuals than smaller patches, population density was lower on large patches.

FIGURE 21.13 Relationship between habitat patch area and population size and density of the butterfly Melitaea cinxia in a landscape on Aland Island, Finland (data from Hanski, Kuussaari. and Nieminen 1994).

The team also found that more isolated patches supported lower densities of butterflies. Isolation influences local population density in these populations because local populations are partly maintained by immigration of Melitaea from other patches. For instance, during I week of sampling the butterflies in one patch, about 15% of the males and 30% of the females were recaptures from surrounding patches.

This experiment determined that area and isolation of patches strongly influence the size and density of Melitaea populations. One conclusion that we can draw from these patterns is that landscape structure is important for understanding the distribution and abundance of the butterflies. It turns out that landscape structure also affects the persistence of local populations. Between 1991 and 1992, Hanski and his colleagues recorded three extinctions of local populations and five colonizations of new habitat patches. All these extinctions and colonizations occurred in small patches with small populations.

The vulnerability of small populations to extinction has been well documented in populations of desert bighorn sheep in the southwestern United States. Joel Berger (1990) explored the relationship of population size to local extinctions in isolated populations of desert bighorn sheep using records from 129 populations in five states: California, Colorado, Nevada, New Mexico, and Texas. Berger found that local populations with fewer than 50 individuals became extinct in less than 50 years, while populations of 51 to 100 individuals became extinct in about 60 years. Populations of more than 100 individuals persisted for at least 70 years.

The studies by Diffendorfer and colleagues, Hanski and colleagues, and Berger show that the movement of organisms and the characteristics of local populations are significantly influenced by landscape structure. As we will see in the next example, landscape structure can also influence the characteristics of ecosystems.

Landscape Position and Lake Chemistry

Katherine Webster and her colleagues (1996) at the Center for Limnology at the University of Wisconsin and the U.S. Geological Survey explored how the position of a lake in a landscape affects its chemical responses to drought. Drought can affect a wide range of lake ecosystem properties, including nutrient cycling and the concentrations of dissolved ions. However, all lakes do not respond in the same way to drought. For instance, while drought increased the concentration of dissolved substances in Lake 239 at the Experimental Lakes Area in Ontario, it decreased them in Nevins Lake, Michigan.

Webster and her colleagues set out to determine whether the contrasting chemical responses of lakes to drought can be explained by the position of the lake in the landscape. They worked in northern Wisconsin, where they defined the landscape position of a lake as its location within a hydrologic flow system. The team quantified the position of a lake within a hydrologic flow system as the proportion of total water inflow supplied by groundwater.

The sources of water for a lake are precipitation, surface water, and groundwater flow. Different lakes receive different proportions of their water from these sources, and these proportions depend upon a lake's position in the landscape. Figure 21.14 shows a series of lakes along a hydrologic flow system in northern Wisconsin. Morgan Lake, which receives the bulk of its water from precipitation, occupies the upper end of this continuum. Lakes such as this one occupy high points in the hydrologic flow system and are called "hydro-logically mounded" lakes. These lakes are sources of water for the rest of the hydrologic flow system. Crystal Lake and Sparkling Lake, which occupy intermediate positions within the hydrologic flow system and receive significant inflows of groundwater, are "groundwater flow through" lakes. Finally, at the lower end of the flow system, are the "drainage" lakes that receive significant surface drainage as well as groundwater drainage.

FIGURE 21.14 Lake position in the landscape and proportion of water received as groundwater (data from Webster et al, 1996).

The important point here is that the positions of these lakes in the landscape determine the proportion of water they receive as groundwater. Webster and her colleagues estimated that Morgan Lake receives no groundwater inflow, while Trout Lake, at the lower end of the hydrologic flow system, receives 35% of its inflow as groundwater. The main source of water for a lake determines its response to drought.

The responses of these seven lakes to a drought were studied from 1986 to 1990. As you might expect, the levels of the lakes dropped during this 4-year drought. However, the amount of drop in lake level was related to a lake's position in the landscape (fig. 21.15). The level of Morgan Lake, at the upper end of the hydrologic flow system, dropped 0.7 m, while the levels of Vandercook, Big Muskellunge, Crystal, and Sparkling Lakes, in the middle of the hydrologic flow system, dropped 0.9 to 1.0 m. Meanwhile, the levels of Trout and Allequash Lakes, the two drainage lakes at the lower end of the hydrologic flow system, dropped very little.

FIGURE 21.15 Lake position in a hydrologic flow system and response to a severe drought (data from Webster et al. 1996).

Landscape position also significantly influenced a lake's chemical responses to the drought. The concentrations of dissolved ions such as calcium (Ca2+) and magnesium (Mg2+) increased in the majority of the lakes. However, the increase in ion concentration was highest at the upper and lower ends of the hydrologic flow system. Meanwhile, the combined mass of Ca2+ and Mg2+ increased in the three lakes at the lower end of the hydrologic flow system but did not change in Morgan Lake, at the upper end of the flow system, and either decreased or did not change in the lakes occupying the middle portions of the hydrologic flow system (fig. 21.15).

The researchers concluded that the increased mass of Ca2+ and Mg2+ seen at the lower end of the hydrologic flow system was due to an increased proportion of inflows from groundwater and surface water, sources rich in Ca2+ and Mg2+. The declines in mass of Ca2+ and Mg2+ in Big Muskellunge Lake as likely due to reduced inflow of ion-rich groundwater. The stability of Ca2+ and Mg2+ mass in Morgan Lake was attributed to its isolation from the groundwater flow system. Morgan Lake receives almost no groundwater even during wet periods. Regardless of the precise mechanisms, however, the chemical responses of these lakes to the drought were related to their positions in the landscape.

In the first section of this chapter, we reviewed the concept of landscape structure. In this section, we explored the connection between landscape structure and landscape processes. But what creates landscape structure? Landscape structure, like the structure of populations, communities, and ecosystems, changes in response to an interplay between dynamic processes. We explore the sources of landscape structure and change in the next Case Histories section.

CASE HISTORIES: origins of landscape structure and change

Landscapes are structured and change in response to geological processes, climate, activities of organisms, and fire.

What creates the patchiness we see in landscapes? Many forces combine in numerous ways to produce the patchiness that we call landscape structure. In this section, we review examples of how geological processes, climate, organisms, and fire contribute to landscape structure.

Geological Processes, Climate, and Landscape Structure

The geological features produced by processes such as volcanism, sedimentation, and erosion provide a primary source of landscape structure. For instance, the alluvial deposits along a river valley provide growing conditions different from those on thin, well-drained soils on nearby hills. A volcanic cinder cone in the middle of a sandy plain offers different environmental conditions than the surrounding plain (fig. 21.16). Distinctive ecosystems may develop on each of these geological surfaces, creating patchiness in the landscape. In the following example, we shall see how distinctive soils contribute to vegetative patchiness in a Sonoran Desert landscape.

FIGURE 21.16 Geological features such as the volcanic cinder cone in the middle of a sandy plain add structure to the landscape by adding a geological surface with distinctive physical and chemical properties.

Soil and Vegetation Mosaics in the Sonoran Desert

The Sonoran Desert includes many long, narrow mountain ranges separated by basins or valleys. The mountains and basins in this region originated in movements of the earth's crust that began 12 to 15 million years ago. As the mountains were uplifted and the adjacent basins subsided, erosion removed materials from the mountain slopes. This eroded material was deposited in the surrounding basins, forming sloping plains, or bajadas, at the bases of the mountains. Sediment deposits in these basins may be over 3 km deep.

From a distance, the bajadas of the Sonoran Desert may appear to be uniform environments, especially against the backdrop of a rugged desert mountain (see fig. 16.2). However, Joseph McAuliffe (1994) has shown that bajadas in the 8onoran Desert near Tucson. Arizona, consist of a complex mosaic of distinctive landforms. His studies have shown that intermittent erosion and deposition operating over the past 2 million years have produced a complex landscape.

McAuliffe established study sites on the bajadas of three mountain ranges. At each site he studied soils and plant distributions. In all three study areas, he found a wide range of soil types and plant distributions that corresponded closely to soil age and structure.

 Let's look at some of the patterns McAuliffe found on the bajada associated with the northern end of the Tucson Mountains. Going from left to right in figure 21.17. the first soils you see are of early Pleistocene age and are approximately 1.8 to 1.9 million years old. Going northward along

the bajada, to the right in figure 21.17, the next soils in the sequence date from the middle to late Pleistocene and are hundreds of thousands of years old. These soils are followed by Holocene deposits that are less than 11,000 years old and are associated with an ephemeral desert water course called Wildhorse Wash. Near the Holocene soils. McAuliffe found soils that dated from the late Pleistocene. These soils were 25,000 to 75,000 years old.

FIGURE 21.17 Soil ages on an outwash plain, or bajada, associated with the Tucson Mountains, Arizona; colors used only to show locations of different soils in landscape (data from McAultffe 1994).

In the space of a few kilometers, McAuliffe found patches of soil that were (I) almost 2 million years old, (2) hundreds of thousands of years old, (3) tens of thousands of years old, and (4) less than 11,000 years old. Because soil-building processes occur over long periods of time, these soils of vastly different ages also differ substantially in structure. Figure 21.18 shows McAuliffe's drawings of typical profiles of Holocene, middle to late Pleistocene. and early Pleistocene soils. The Holocene soils had low amounts of clay and calcium carbonate (CaCO3) and poorly developed soil horizons. They also lacked a caliche layer, a hardpan soil horizon formed by precipitation of CaCO3. Middle to late Pleistocene soils bad a much higher clay content than Holocene soils, and early Pleistocene soils contained even more clay. These clay layers in the older soil profiles are called argyllie horizons. Middle to late and early Pleistocene soils also contained more CaCO3 and were underlain by a thick layer of caliche.

FIGURE 21.18 Structural features of young to old desert soils on the Tucson Mountains bajada (data from McAuliffe 1994).

These differences in soil structure influence the distributions of perennial plants across the Tucson Mountain bajada (fig. 21. 19). McAuliffe found that the relative abundances of two shrubs, Larrea tridentata and Ambrosia deltoidea, accounted for much of the variation in perennial plant distributions. Plant distributions map clearly onto soils of different ages. Ambrosia is most abundant on middle to late Pleistocene soils. Larrea dominates on Holocene soils and on early Pleistocene soils. Other perennial plant species dominated mainly on the eroding side slopes of early Pleistocene soils.

FIGURE 21.19 Association between vegetation and soils of different ages and structure on the Tucson Mountains bajada; colors used only to show locations of different soils in landscape (data from McAuliffe 1994).

Climate and Landscape Structure

Climate is a major determinant of landscape structure. Our review of major terrestrial environments in chapter 2 showed a clear connection between landscape structure and climate. Climate determines whether the potential ecosystem in an area will be tundra, temperate forest, or desert. It also sets the baseline for aquatic ecosystems. Climate determines whether rivers flood once a year, twice a year, or at irregular intervals. As climate changes, landscapes change. The advances and retreats of glaciers have shaped whole continents, creating lakes and plains, transporting soils, and carving mountain valleys. Wetting and drying cycles have changed the distribution extent of rain forest and savanna in the Amazon River basin.

We can also see the signature of climate on a very local scale. Let's go back to the soils studied by McAuliffe and review some of the effects of climate. The soil mosaic along the bajada east of the Tucson Mountains consists of patches of material deposited during floods originating in these mountains from nearly 2 million years ago to less than 11,000 years ago. The deposits were laid down during times when the climate produced intense storms that caused flooding and erosion. Materials eroded from mountain slopes were deposited as alluvium on the surrounding bajadas.

These alluvial deposits were gradually changed, and these changes were dependent upon climate. Two of the prominent features of the older soils studied by McAuliffe were the formation of a clay-rich argyllic horizon and the formation of a CaCO3-rich caliche layer. Both these soil features are the result of water transport. Clay particles are transported as a colloidal suspension, while the CaCO3 is transported in dissolved form. Consequently, the clays precipitate out of suspension higher in the soil profile than the CaCO3. The result is the layering of an argyllic horizon over a caliche layer as shown in figure 21.18.

Water, working on alluvial deposits, is responsible for the soil structure observed by McAuliffe, but it was water delivered to the landscape under particular climatic conditions. We can get a clue about those conditions by observing some soil characteristics. We know that argyllic horizons are deposited by water. However, the soils described by McAuliffe also offer clues that the action of water was highly episodic. The argyllic horizon in these soils is red, and this red color is the result of a buildup of iron oxides. Oxidation of iron could have only occurred in an oxidizing environment. Because soil saturated with water quickly becomes anoxic, the presence of oxidized iron in the argyllic horizon indicates that these soils were formed when conditions were intermittently wet. In other words, the soils along the bajada of the Tucson Mountains formed under particular climatic conditions. Different climatic conditions would have produced different soils and, perhaps, different plant distributions.

While geological processes and climate set the basic template for landscape structure, the activities of organisms can be an additional source of landscape structure and change. In the following section, we consider how the activities of humans and other species can change landscape structure.

Organisms and Landscape Structure

Organisms of all sorts influence the structure of landscapes. While the following discussion focuses on the influences of animals, plants create much of the distinctive patchwork we call landscape structure. For an example of how plants can change landscape structure, think back to chapter 19, where we discussed Edward Witkowski's studies (1991) of how Acacia affects the South African fynbos. In that discussion, we focused on the effects of the plant on the quantity of soil nitrogen and rates of decomposition. Now let's take a landscape perspective of the effects of Acacia. As this plant invaded the fynbos, it created distinctive patches where the availability of nitrogen is higher and where decomposition rates are higher. By adding these distinctive ecosystem patches, Acacia has altered landscape structure.

Many studies of landscape change have focused on the conversion of forest to agricultural landscapes. In North America. an often-cited example of this sort of landscape change is that of Cadiz Township, Green County, Wisconsin (fig 21.20). In 183 I, approximately 93.5% of Cadiz Township was forested. By 1882 the percentage of forested land had decreased to 27% and by 1902 forest cover had fallen to less than 9%. Between 1902 and 1950 the total area of forest decreased again to 3.4%. Similar changes in landscape structure have been observed throughout the midwestern region of the United States. However. in some other forested regions of North America and Europe, the pattern of recent landscape change has been different.

FIGURE 21.20 Human-caused change in forest cover in Cadiz Township, Wisconsin (data from Curtis 1956. maps after Curtis 1956).

In eastern North America, many abandoned farms have reverted to forest and in these landscapes forest cover has increased. Recent increases in forest cover have also been observed in some parts of northern Europe. One such area is the Veluwe region in the central Netherlands. Maureen Hulshoff (1995) reviewed the landscape changes that have occurred in the Veluwe region during the past 1,200 years. The Veluwe landscape was originally dominated by a mixed deciduous forest. Then, from A.D. 800 to 1 I00, people gradually occupied the area and cut the forest. Consequently, forests were gradually converted to heathlands, which are landscapes dominated by low shrubs and used for livestock foraging. Later, small areas of cropland were interspersed with the extensive heathlands. During the tenth and eleventh centuries some areas were devegetated completely and convened to areas of drifting sand. The problem of drifting sand continued to increase until the end of the nineteenth century, when the Dutch government began planting pine plantations on the Veluwe landscape, a practice that continued into the twentieth century.

Figure 21.21 shows the changes in the composition of the Veluwe landscape from 1845 to 1982. The greatest change over this period was a shift in dominance from heathlands to forests. In 1845, heathlands made up 66% of the landscape, while forests constituted 17%. By 1982, coverage by heathlands had fallen to 12% of the landscape and forest coverage had risen to 64%. The figure also shows modest but ecologically significant changes in the other landscape elements. The area of drift sand reached a peak in 1898 and then dropped and held steady at 3% to 4% from 1957 to 1982. Urban areas established a significant presence beginning in 1957. Finally. coverage by agricultural areas has varied from 9% to 16% over the study interval, the least variation shown by any of the landscape elements.

FIGURE 21.21 Change in a Dutch landscape (data from Hulshoff 1995).

As total coverage by forest and beathlands changed within the Veluwe landscape, the number and average area of forest and heath patches also changed. These changes indicate increasing fragmentation of heathlands and decreasing fragmentation of forests. For instance, between 1845 and 1982, the number of forest patches declined, while the average area of forest patches increased. During the same period, the number of heath patches increased until 1957. Between 1957 and 1982, the number of heath patches decreased as some patches were eliminated entirely. The average area of heath patches decreased rapidly between 1845 and 1931 and then remained approximately stable from 1931 to 1982.

During the period that Cadiz Township in Wisconsin was losing forest cover, this landscape element was increasing in the Veluwe district of the Netherlands. These two examples show how human activity has changed landscape structure. However. what forces drive human influences on landscapes? In both Cadiz Township and the Veluwe landscape, the driving forces were economic. A developing agricultural economy converted Cadiz Township from forest to farmland. The Veluwe landscape was converted from heathland to forest as the local sheep-raising economy collapsed in response to the introduction of synthetic fertilizers and inexpensive wool from Australia.

As we enter the twenty-first century, economically motivated human activity continues to change the structure of landscapes all over the globe. We examine current trends in land cover at the global scale in chapter 23. Before we do that, however, let's examine the effects of some other species on landscape structure.

Many animal species modify landscape structure (fig. 21.22). African elephants feed on trees and often knock them down in the process. As a consequence, these elephants can gradually change woodland m grassland. Alligators maintain ponds in the Florida Everglades, a landscape element upon which many species depend to survive droughts. Small species can also change landscapes. Kangaroo rats, Dipodomys spp., of the American Southwest dig burrow systems that modify the structure of the soil, the distribution of nutrients, and the distribution of plants to such an extent that the result is recognizable from aerial photos. Similar effects on landscape structure are created by termites and ants.

FIGURE 21.22 Species with significant impacts on landscape structure. (a) African elephants control the extent of tree cover in some landscapes. (b) Alligators build and maintain ponds in wetland landscapes. (c) Feeding and burrowing by kangaroo rats introduce added patchiness into desert landscapes. (d) Termite mounds add distinctive landscape features.

One of the most adept modifiers of landscapes is the beaver, Castor canadensis (fig. 21.23). Beavers alter landscapes by cutting trees, building dams on stream channels, and flooding the surrounding landscape. Beaver dams increase the extent of wetlands in the landscape, alter the hydrologic regime of the catchment, and trap sediments, organic matter, and nutrients. The selective cutting of trees adds patchiness to the plant community and reduces the abundance of tree species preferred as food. These effects add several novel ecosystems to the landscape.

FIGURE 21.23 Beavers are among nature's most active landscape engineers.

These influences of beavers on landscape structure once shaped the face of entire continents. At one time, beavers modified nearly ail the temperate stream valleys in the Northern Hemisphere. The range of beavers in North America extended from arctic tundra to the Chihuahuan and Sonoran Deserts of northern Mexico, a range of approximately 15 million km2. Before European colonization, the North American beaver population numbered 60 to 400 million individuals. However, fur trappers eliminated beavers from much of their historical range and nearly drove them to extinction. With protection, North American beaver populations are recovering and large areas once again show the influence of beavers on landscape structure.

Carol Johnston and Robert Naiman and their colleagues have carefully documented the substantial effects of beavers on landscape stmcturu (e.g., Naiman et al. 1994). Much of their work has focused on the effects of beavers on the 298 km2 Kabetogama Peninsula in Voyageurs National Park, Minnesota. Following their near extermination, beavers reinvaded the Kabetogama Peninsula beginning about 1925. From 1927 to 1988 the number of beaver ponds on the peninsula increased from 64 to 834, a change in pond density from 0.2 to 3.0 per square kilometer. Over this 63-year period, the area of new ecosystems created by beavers, including beaver ponds, wet meadows, and moist meadows, increased from 200 ha, about 1% of the peninsula, to 2,661 ha, about 13% of the peninsula. Foraging by beavers altered another 12% to 15% of upland areas.

Beaver activity has changed the Kabetogama Peninsula from a landscape dominated by boreal forest to a complex mosaic of ecosystems. Figure 21.24 shows how beavers have changed a 45 km2 catchment on the peninsula. These maps show that, between 1940 and 1986, beavers increased landscape complexity within this catchment. Similar changes have occurred over nearly the entire peninsula.

FIGURE 21.24 Beaver-caused landscape changes on the Kabetogama Peninsula, Minnesota (data from Naiman et al. 1994).

Naiman and his colleagues quantified the effects of beaver over 214 km2, or 72%, of the Kabetogama Peninsula. Within this area, there are about 2,763 ha of low-lying area that can be impounded by beavers. In 1927, the majority of the landscape, 2,563 ha, was dominated by forest. In 1927, moist meadow, wet meadow, and pond ecosystems covered only 200 ha. By 1988, moist meadows, wet meadows, and beaver ponds covered over 2,600 ha and boreal forest was limited to 102 ha. Between 1927 and 1988, beavers transformed most of the landscape.

     The changes in landscape structure induced by beavers substantially alter landscape processes such as nutrient retention. Beaver activity between 1927 and 1988 increased the quantity of most major ions and nutrients in the areas affected by impoundments (fig. 21.25). The total quantity of nitrogen increased by 72%, while the amounts of phosphorus and potassium increased by 43% and 20%, respectively. The quantities of calcium, magnesium, iron, and sulfate stored in the landscape were increased by even greater amounts.

FIGURE 21.25 Nutrient retention on the Kabetogama Peninsula after alteration by beavers (data from Naiman et al. 1994).

Naiman and his colleagues offer three possible explanations for increased ion and nutrient storage in this landscape: (1) beaver ponds and their associated meadows may trap materials eroding from the surrounding landscape, (2) the rising waters of the beaver ponds may have captured nutrients formerly held in forest vegetation, and (3) the habitats created by beavers may have altered biogeochemical processes in a way that promotes nutrient retention. Whatever the precise mechanisms, beaver activity has substantially altered landscape structure and processes on the Kabetogama Peninsula.

Fire and the Structure of a Mediterranean Landscape

Fire contributes to the structure of landscapes ranging from tropical savanna to boreal forest. However, fire plays a particularly prominent role in regions with a Mediterranean climate. As we saw in chapter 2, terrestrial ecosystems in regions with Mediterranean climates, which support temperate woodlands and shrublands, are subject to frequent burning. Hot, dry summers combined with vegetation rich in essential oils create ideal conditions for fires, which can be easily ignited by lightning or humans. In regions with a Mediterranean climate, fire is responsible for a great deal of landscape structure and change.

Richard Minnich (1983) used satellite photos to reconstruct the fire history of southern California and northern Baja California, Mexico, from 1971 to 1980 and found that the landscapes of both areas consist of a patchwork of new and old bums. Though these regions experience similar Mediterranean climates and support similar natural vegetation, their fire histories diverged significantly in the early twentieth century. For centuries, natural lightning-caused fires burned, sometimes for months, until they went out naturally. In addition, Spanish and Anglo-American residents would set fire to the land routinely to improve grazing for cattle and sheep. Then, early in the twentieth century, various government agencies in southern California began to suppress fires in order to protect property within an increasingly urbanized landscape.

Minnich proposed that the different fire histories of southern California and northern Baja California might produce landscapes of different structure. He suggested that fire suppression allowed more biomass to accumulate and set the stage for large, uncontrollable fires. His specific hypothesis was that the average area burned by wildfires would be greater in southern California.

Minnich tested his hypothesis using satellite images taken from 1972 to 1980 (fig. 21.26). He found that between 1972 and 1980 the total area burned in the two regions was fairly similar (fig. 21.27). However, the size of burns differed significantly between the two regions. The frequency of small bums below 1,000 ha was higher in northern Baja California, while large bums above 3,000 ha were more frequent in southern California. Consequently, median bum size in southern California, 3,500 ha, was over twice that observed in Baja California, 1,600 ha (fig. 21 .27).

FIGURE 21.26 Areas of temperate shrubland in southern California periodically burn over large areas, destroying human habitations in the process.

FIGURE 21.27 Characteristics of fires in the Mediterranean landscapes of southern and Baja California from 1972 to 1980 (data from Minnich 1983).

These results are consistent with Minnich's hypothesis, but do they show conclusively that differences in fire management in southern California and Baja California have produced a difference in bum area? Other factors may contribute to the observed differences in the fire mosaic, including climatic differences, differences in age structure of vegetation, and topographic differences. The exploration of tire's influence on the structure of Mediterranean landscapes continues.

In this section, we have seen how geological processes, climate, the activities of organisms, and fire can contribute to landscape structure and change. Because human activity has often greatly altered landscape structure, there is growing interest in landscape restoration. That is the subject that we take up in the Applications and Tools section.

APPLICATIONS AND TOOLS: restoring a riverine landscape

Rivers and their floodplains form a complex, highly dynamic landscape that includes river, riparian forest, marsh, oxbow lake, and wet meadow ecosystems. Historically, these ecosystems actively exchanged organisms, inorganic nutrients, and organic energy sources. The key linkage between these landscape elements was periodic flooding.

Floods connect rivers with their associated floodplain ecosystems, and the rates and timing of many ecological processes are determined by the "flood-pulse" (Junk, Bayley, and Sparks 1989, Bayley 1995). Floods determine the form of the riverine landscape by depositing silt on floodplains, isolating oxbow lakes, and creating new river channels. Floods increase rates of decomposition and nutrient cycling in floodplain environments. Many species of river fish use floodplains as spawning and nursery grounds and many riparian plants require flooding for germination and establishment.

Over the past century, water management by building dams, channelizing rivers, constructing flood levees, and diverting water for irrigation has cut the historic connections between most rivers and their floodplains. However, there is growing recognition of the value of these historic connections for maintaining water quality and for supporting biological diversity. Consequently, governments all over the world have begun programs of river restoration. Some of the most ambitious of these projects focus on the Rhine River in Germany and the Kissimmee River in south Florida, which we discuss in the following section.

Riverine Restoration: The Kissimmee River

The Kissimmee River flows from its headwaters in Lake Kissimmee southward into Lake Okeechobee. The historical landscape of the Kissimmee River included a highly braided, meandering channel that flowed approximately 166 km from headwaters to mouth. Periodic flooding by the river flooded its 1.5 to 3 km wide floodplain, inundating several different types of ecosystems, including oxbow lakes and four major types of marshes. The fiver flooded approximately 94% of its floodplain during about half of the year. During some periods the Kissimmee floodplain would remain completely flooded for 2 to 4 years. The Kissimmee flooded more of its floodplain and for longer periods than any other river in North America.

Before flood control, the relationship of the Kissimmee River to its floodplain was similar to that of large tropical rivers such as the Amazon River in South America and Niger River in Africa. This tight linkage between river and floodplain was very important to the birds, fish, and aquatic invertebrates of the Kissimmee. The landscape supported 48 species of fish, 16 species of wading birds, 22 species of ducks and other water birds, and hundreds of species of aquatic invertebrates, the lives of most of which were tied to the Kissimmee's annual flooding cycle. The flood pulse was also critical to nutrient cycling and to maintaining high water quality.

 Rapid human population growth in the early 1940s, followed by extensive flooding that lasted from 1947 to 1948, created pressures for flood control on the Kissimmee River. From 1962 to 1970 the river was converted from a braided, meandering river to a series of five reservoirs connected by canals (fig. 21.28). Flow out of Lake Kissimmee and along the canals is controlled by six separate flow control structures. These flood control measures transformed the 166 km meandering Kissimmee River into a canal 9 m deep, 100 m wide, and 90 km long (fig. 21.29). They also eliminated 14,000 ha of wetlands within the Kissimmee landscape. Most of the former river channels were either filled in by materials dug to form the canal system, dried out, or reduced to such low flows that they were choked by vegetation, especially by introduced species of floating water plants such as water hyacinth, Eichhornia crassipes.

FIGURE 21.28 Channelization and wetland loss in the Kissimmee River floodplain (data from Toth et aL 1995).

FIGURE 21.29 Channelizing great(v simplified the structure of the Kissimmee Rivet: Compare the straight artificial channel on the right of this photo with the remnant meandering channels on the left.

These environmental changes had a severe impact on many populations and ecosystem processes. Wintering water-fowl populations declined by 92%. The population of large-mouth bass, an important sport fish, declined. Largemouth bass were replaced by nongame species that tolerate low oxygen concentrations. Populations of riverine invertebrates were reduced and replaced by invertebrates of lake and pond ecosystems. Eliminating the flood pulse greatly reduced the exchange of nutrients, organic matter, and organisms between the river and floodplain ecosystems. Stabilized water levels nearly eliminated spawning and foraging habitats for adult fish and refuge and rearing areas for larval and juvenile fish. Ecologists estimated that drying the floodplain wetlands along the Kissimmee resulted in a loss of 6 billion freshwater prawns, Palaemonetes paludosus.

The public soon recognized the negative ecological consequences of the Kissimmee flood control project and exerted political pressure to restore the river to premanagement conditions (Cummins and Dahm 1995, Koebel 1995, Toth et al. 1995, Dahm et al. 1995). These pressures eventually produced the Kissimmee restoration project. A limited test restoration was conducted from 1984 to 1990. The project included fluctuating water levels within one of the reservoirs to return flooding to about 1,080 ha of floodplain. Water managers built weirs on the canal to divert water into remnant river channels and created a series of marshes.

The Kissimmee River floodplain landscape showed dramatic responses to these initial restoration efforts. Native vegetation that had historically dominated the system responded positively, while exotic vegetation and vegetation from uplands showed signs of decline. Flow through remnant channels transported accumulated detritus into the canal system. Riverine invertebrates recolonized remnant river channels, and fish quickly moved into the flooded areas. Fish requiring higher levels of dissolved oxygen again dominated restored areas. Large numbers of waterfowl also quickly moved into the new marshes.

In response to these encouraging results, water managers began a far more ambitious plan to restore a large portion of the Kissimmee River system. The restoration project will take 15 years and restore about 70 km of river channels to a more natural condition and about 11,000 ha of wetlands. The Kissimmee restoration will consist of two parts. First, water managers will regulate water in the headwaters of the river to include a more natural flood pulse. Second, much of the Kissimmee canal will be eliminated and water will be returned to the braided river channels. Several kilometers of the Kissimmee canal will be filled (fig. 21.30), and some water control structures will be removed. In addition, 14 km of river channel that were filled during the excavation of the canal will be excavated.

FIGURE 21.30 Restoration of the Kissimmee River landscape includes refilling approximately 35 km of artificial channel to restore flows to original meandering channels.

The keys to this restoration effort involve restoration of landscape structure and landscape processes. First, water managers will restore historical landscape structure by restoring the complex channel network and reestablishing the historic floodplain marshes. Second. they will restore the dominant landscape process, the historic flood pulse. Restoration of flooding will reestablish the hydrologic connections between the river and floodplain ecosystems, connections that promote exchanges of nutrients, energy, and species among ecosystems in the Kissimmee River landscape.

This is the largest landscape restoration project ever undertaken. The restoration of the Kissimmee River landscape is also one of the largest ecological experiments ever conducted and will be a significant test of the predictive ability of ecological theory. The project includes models of expected population, community, ecosystem, and landscape responses as well as careful monitoring of those responses. As it goes forward, ecologists will watch to see how well their predictions compare to the actual responses of the system. The lessons learned on the Kissimmee River will help with future efforts aimed at restoring the structure and processes of damaged landscapes.

 

SUMMARY CONCEPTS

A landscape is a heterogeneous area composed of several ecosystems. The ecosystems making up a landscape generally form a mosaic of visually distinctive patches. These patches are called landscape clements. Landscape ecology is the study of landscape structure and processes.

Landscape structure includes the size, shape, composition, number, and position of different ecosystems within a landscape. Most questions in landscape ecology require that ecologists quantify landscape structure. Until recently, however, geometry, which means “earth measurement,” could offer only rough approximations of complex landscape structure. Today, an area of mathematics called fractal geometry can be used to quantify the structure of complex natural shapes. One of the findings of fractal geometry is that the length of the perimeter of complex shapes depends upon the size of the device used to measure the perimeter. One implication of this result is that organisms of different sizes may use the environment in very different ways.

Landscape structure influences processes such as the flow of energy, materials, and species between the ecosystems within a landscape. Landscape ecologists have proposed that landscape structure, especially the size, number, and isolation of habitat patches, can influence the movement of organisms between potentially suitable habitats. The group of subpopulations living on such habitat patches make up a metapopulation. Studies of the movements of small mammals in a prairie landscape show that a smaller proportion of individuals moves in more fragmented landscape but that the individuals that do move will move farther. The local population density of the Glanville fritillary butterfly, Melitaea cinxia, is lower on larger and on isolated habitat patches. Small populations of this butterfly and desert bighorn sheep are more vulnerable to local extinction. The source of water for lakes in a Wisconsin lake district is determined by their positions in the landscape, which in turn determine their hydrologic and chemical responses to drought.

Landscapes are structured and change in response to geological processes, climate, activities of organisms, and fire. Geological features produced by processes such as volcanism, sedimentation, and erosion interact with climate to provide a primary source of landscape structure. In the Sonoran Desert. plant distributions map clearly onto soils of different ages and form a vegetative mosaic that closely matches soil mosaics. This mosaic will gradually shift as geological processes and climate gradually change the soil mosaic. While geological processes and climate set the basic template for landscape structure, the activities of organisms, from plants to elephants, can be an additional source of landscape structure and change. Economically motivated human activity changes the structure of landscapes all over the globe. Beavers can quickly change landscape structure and processes over large regions. Fire contributes to the structure of landscapes ranging from tropical savanna to boreal forest. However, fire plays a particularly prominent role in regions with a Mediterranean climate.

Because human activity has often altered landscape structure and processes in undesirable ways, there is growing pressure and interest in landscape restoration. Some of the most ambitious current restoration efforts focus on the restoration of riverine landscapes. Rivers and their floodplains form a complex, highly dynamic landscape that includes river riparian forest, marsh, oxbow lake, and wet meadow' ecosystems. Over the past century, water management by building dams, channelizing rivers, constructing flood levees, and diverting water for irrigation has cut the historic connections between most rivers and their floodplains. The restoration of the Kissimmee River landscape is also one of the largest ecological experiments ever conducted and will be a significant test of the predictive ability of ecological theory.

REVIEW  QUESTIONS

1. How does landscape ecology differ from ecosystem and community ecology? What questions might an ecosystem ecologist ask about a forest? What questions might a community ecologist ask about the same forest? Now. what kinds of questions would a landscape ecologist ask about a forested landscape?

2. How should the area of forest patches in an agricultural landscape affect the proportion of bird species in a community that are associated with forest edge habitats? How should patch area affect the presence of birds associated with forest interiors?

3. The green areas represent forest fragments surrounded by agriculture. Landscapes I and 2 contain the same total forest area. Will landscape I or 2 contain more forest interior species? Explain.

4. How might the shapes of forest patches in a landscape affect the proportion of birds in the community associated with forest edge habitat? How might patch shape affect the presence of birds associated with forest interior?

5. Consider the following options for preserving patches of riverside forest. Again, the two landscapes contain the same total area of forest but the patches in the two landscapes differ in shape. Which of the two would be most dominated by forest edge species?

6. How does the concept of metapopulations differ from the perspective of populations that we discussed in section III? (Hint: Think of the spatial contexts of these two views of populations.)

7. How do the positions of patches in a landscape affect the movement of individuals among habitat patches and among portions of a metapopulation? Again. consider the hypothetical landscapes shown in question 5. Which of the two landscapes would promote the highest rate of movement of individuals between forest patches? Can you think of any circumstances in which it might be desirable to reduce the movement of individuals across a landscape? (Hint: Think of the potential threat of pathogens that are spread mainly by direct contact between individuals within a population.)

8. Use fractal geometry and the niche concept (see chapters 13 and 16) to explain why the canopy of a forest should accommodate more species of predaceous insects than insectivorous birds. Assume that the numbers of bird and predaceous insect species are limited by competition. (Milne's study [1993] of barnacles and bald eagles on Admiralty Island should provide a beginning for your argument.

9. Analyses such as Milne's comparison (1993) of bald eagles and barnacles demonstrate that organisms of different sizes interact with the environment at very different spatial scales. With this in mind consider the experiments of Diffendorfer and colleagues (1995) on the influence of habitat fragmentation on movement patterns of small mammals. Think about the size of their experimental study area (see fig. 21.10). How might a manipulation of this size have affected the movements of prairie birds? How would their manipulation have affected the movements of ground-dwelling beetles?

10. How do the activities of animals affect landscape heterogeneity? You might use either beaver or human activity as your model. What parallels can you think of between the influence of animal activity on landscape heterogeneity and the intermediate disturbance hypothesis? Which is concerned with the effect of disturbance on species diversity?