Deforestation patterns and their effects on forest patches - CiteSeerX

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(Curtis 1956, Burgess and Sharpe 1981, Zipperer et al. 1990). An understanding of how different deforestation patterns influence habitat quality of forest patches ...
Landscape Ecology vol. 8 no. 3 pp 177-184 (1993) SPB Academic Publishing bv, The Hague

Deforestation patterns and their effects on forest patches Wayne C. Zipperer USDA Forest Service NEFES, c/o SUNY-CESF, Syracuse, N Y 13210, USA Keywords: deforestation, fragmentation, forest edge, forest interior

Abstract Five identifiable patterns of deforestation are recognized - internal, indentation, cropping, fragmentation, and removal - and each has a distinct effect on habitat quality of forest patches in the eastern United States. By overlaying land use maps from 1973 and 1981 for three counties in the State of Maryland (Prince Georges, Anne Arundel, and Wicomico), changes in the interior core area and edge length of individual patches were measured. Forest interior declined by 23.8 km2 in Anne Arundel, 16.3 km2 in Prince Georges, and 8.4 km2 in Wicomico. Within Anne Arundel and Prince Georges Counties, deforestation increased edge length by 52.1 km and 31.2 km, respectively, whereas, within Wicomico, it decreased edge length by 8.7 km. Differences among counties resulted from current land use patterns, percentage of forest cover, and the dominant deforestation pattern.

Introduction Habitat fragmentation is considered by many to be the most serious threat to biological diversity, and is the primary cause of the present extinction crisis (Wilcox and Murphy 1985, Lovejoy et al. 1986, Wilcove et al. 1986). Yet, when considering the entire dimension of deforestation, fragmentation is only one pattern of the process. Deforestation, the process of clearing forest cover so that the land can be used for a different purpose (SAF 1983), is an ongoing disturbance within human-dominated landscapes. The extent of human activities on the landscape determines the type, intensity, and frequency of deforestation (Curtis 1956, Burgess and Sharpe 1981, Zipperer et al. 1990). An understanding of how different deforestation patterns influence habitat quality of forest patches is essential to managing this resource

within a region or a landscape. In this paper, I identify five deforestation patterns, describe their effects on the forest interior core and edge length, and measure their cumulative effects within three counties in the State of Maryland, U.S.A.

Forest fragments The term ‘forest fragment’ refers to an isolated patch of forest cover created through patchy or disconnected deforestation of a contiguous forest. As the external matrix is physiognomically (and ecologically) different from the forest patch, an induced edge is formed (Yahner 1988). This edge, however, denotes more than just the transition between the external matrix and the forest; it represents an outer band that is environmentally and

180 Table 1. Net changes in forest cover between 1973 and 1981 for Anne Arundel, Prince Georges, and Wicomico Counties, Maryland, U.S.A.

Forest cover changes between 1973 and 1981

County Anne Arundel Prince Georges Wicomico

Forest cover in 1973 (km2)

Area deforested (km2)

Area reforested (km2)

583.1 679.0 479.8

19.9 19.5 9.9

0.6 4.7 0.3

U.S.A. - Anne Arundel, Prince Georges, and Wicomico (Fig. 2). In 1973, the counties had nearly identical percentages of forest cover. Anne Arundel County, 1091.9 km2 in total area, was 53.4% forested; Prince Georges County, the largest of the three (1269.1 km2), was 53.5% forested; and Wicomico County, 906.9 km2 in total area, was 52.9% forested. These counties were chosen because of contrasting changes in land use trends. Anne Arundel and Prince Georges Counties are located between Baltimore, Maryland, and Washington, Distinct of Columbia, a corridor that is rapidly becoming urbanized. In contrast, Wicomico County does not neighbor a major metropolitan area and is being developed more slowly. County census data provided the rates of human population change. Between 1960 and 1970, the approximate period preceding the land use change analysis, Anne Arundel’s human population grew 44.0% (from 207,000 to 298,000), Prince Georges’s population grew 85.4% (from 357,000 to 622,000), and Wicomico’s population increased only 10.2% (from 49,000 to 54,000) (U.S. Department of Commerce 1982). Between 1970 and 1980, the approximate period during the land use change analysis, Anne Arundel’s population grew 24.5% (from 298,000 to 371,OOO), Prince Georges’s population increased 0.5% (from 662,000 to 665,000), whereas Wicomico’s population grew 20.4% (from 54,000 to 65,000) (US. Department of Commerce 1982). The land use change analysis was conducted by overlaying land use maps for 1981 onto those from 1973. These maps, scaled to 1:63360, were created by the Office of State Planning, Maryland, and in-

Net change (VO)

-3.31 -2.18 -2.00

cluded five categories of land use: urban, agriculture, forest, wetlands and bare ground. Resolution limit was 2.5 hectares (ha). The analysis identified forest patches at both time periods and revealed deforested and reforested areas. By comparing forest patches from each study period, I identified the type of deforestation pattern and measured the resulting changes in the forest edge length and interior core area. To account for deforestation, I included the addition of forest cover into the total values for forest cover, forest edge length, and interior core. For this paper, deforestation effect refers to the loss of forest land, and reforestation effect refers to the addition of forest cover. An analysis of variance (ANOVA) and Tukey’s standardized range test (Sokal and Rohlf 1969) were used to reveal differences among counties for changes in forest edge length and interior core area.

Results

Between 1973 and 1981, each county lost forest cover to urbanization and agriculture and gained forest cover from reforestation of idle agricultural lands (Table 1). Forest losses in Anne Arundel (1994.1 ha) and Prince Georges (1945.6 ha) were primarily to urbanization, whereas in Wicomico County, forest loss (995.1 ha) was mainly to agriculture. Forest gains from idle agriculture lands were 63.0 ha for Anne Arundel, 467.4 ha for Prince Georges, and only 34.2 ha for Wicomico. Although each county lost forest cover, they differed with respect to net changes in forest edge

181 Table 2 . Mean size of deforested and reforested areas between 1973 and 1981. Reported are mean size, standard error, and number of forest patches measured (n)

County

Deforested area (ha)

Reforested area (ha)

Anne Arundel Prince Georges Wicomico

21.6 f 2.9 (90) 21.9 f 1.9 (89) 15.3* f 1.8 (65)

12.6* f 4.8 (5) 24.6 f 3.3 (19) 34.2 (1)

* Significantly different from the other counties at P

5

0.05.

length and interior core area (Table 2). Overall, both Anne Arundel and Prince Georges Counties showed losses in interior core but gains in edge length. In contrast, Wicomico County showed losses in both the forest edge length and interior core area. The differences between Anne Arundel and Prince Georges in loss of forest cover, interior core, and edge length were related to the number of reforested sites and the deforestation patterns (Table 3 and Fig. 3). In Anne Arundel County, only five agricultural sites reverted to forest cover. The reforestation effect added 63 ha of forest cover, 82 ha of interior core, and 1.5 km of edge length. In contrast, 19 agricultural sites reverted to forest cover in Prince Georges County. This reforestation effect added 467.4 ha of forest cover, and 482.6 ha of interior core, and reduced forest edge length by 15.0 km. Because there were fewer reforested sites, deforestation had a greater influence on forest cover in Anne Arundel County than in Prince Georges County. Anne Arundel and Prince Georges Counties differed with respect to deforestation patterns

(D

-

50 40

AnneArundel

0

c

.-E

-8 a

Prince,Georges

N

20

5

10

P

-

Interior

Indent

Crop

Fragment

Removal

-

Deforestation patterns

Fig. 3. Percentage of forest patches with observed deforestation patterns within Anne Arundel, Prince Georges, and Wicomico Counties, Maryland.

(Fig. 3). The counties lost approximately the same amount of forest land (Table 4); however, they differed in the amount of interior core lost and forest edge gained. On average, cleared areas within Anne Arundel County lost 3.6 ha of additional interior core and gained 43.8 m of edge length per clearing than did Prince Georges. Although these differences are slight, the cumulative effects were 324 ha of lost forest interior and 3.9 km of new edge. Besides having fewer reforested areas, forest interior loss in Anne Arundel also resulted from higher frequencies of internal clearing, fragmentation, and removal than those observed in Prince Georges County (Fig. 3). Wicomico County was unique in that it had a similar percentage of total forest cover in 1973 as the other counties, but lost edge over the eight year period. A comparison with the other counties showed that the mean cleared area (15.3 ha) and lost interior (13.3 ha) were smaller in Wicomico County (Table 3). These values were attributed to

Table 3. Net changes in forest interior core area caused by deforestation and reforestation between 1973 and 1981 in Anne Arundel, Prince Georges, and Wicomico Counties, Maryland, U.S.A. Reported are mean areas, standard error, and number of measured forest patches (n). Changes in forest interior core area between 1973 and 1981

County

Deforestation effect (ha)

Reforestation effect (ha)

Net change (ha)

Anne Arundel Prince Georges Wicomico

-27.3 f 3.0 (90) -23.7 f 2.1 (89) -13.3* k 2.3 (65)

16.4* f 4.0 (5) 25.4 f 3.6 (19) 20.4 (1)

- 2375 .O

* Significantly different from the other counties at P

5 0.05.

- 1626.7 -

844.1

182 Table 4. Net changes in forest edge length caused by deforestation and reforestation between 1973 and 1981 in Anne Arundel, Prince Georges, and Wicomico Counties, Maryland, U S A . Reported are mean length, standard error, and number of measured forest patches (n).

Changes in forest edge length between 1973 and 1981

County

Deforestation effect (m)

Reforestation effect (m)

Anne Arundel Prince Georges Wicomico

562.8 & 131.9 (90) 519.0 f 129.1 (89) --117.8' f 148.4 (65)

298.8* -789.8 1,063.6

* Significantly different from the other counties at P

5

Net change (m)

* 357.1 (5) * 286.8 (19) (1)

52,101.I 31,184.8 - 8,720.6

0.01.

higher frequencies of cropping forest extensions and removal of patches (Fig. 3). Collectively, these patterns removed more edge than was created with the other patterns. In contrast, Anne Arundel and Prince Georges Counties had higher frequencies of fragmentation and interior clearing than Wicomico County, thereby increasing forest edge length. Discussion The landscape patterns described for Anne Arundel, Prince Georges, and Wicomico Counties, Maryland, are similar to those predicted by Godron and Forman (1983) and observed in Georgia (Turner and Ruscher 1988) and New York (Zipperer et al. 1990). In Wicomico County, forest conversion occurred primarily in intensively managed agricultural landscapes resulting in the further reduction of existing forest patches as evident by the lost of forest edge. Biotic effects from further deforestation and interior losses may include higher rates of nest predation and brood parasitism, a more xeric microclimate, and a higher density of shadeintolerant species. In Anne Arundel and Prince Georges Counties deforestation occurred across a continuum of landscapes ranging from intensively managed urban and agricultural lands to forest lands with the majority of the deforestation occurring within the forest landscapes. Consequently, both counties experienced high losses of interior habitat and increases in forest edge. Like Wicomico County, similar biotic effects are expected for the intensively

managed urban and agricultural landscapes, but in the forest landscapes, these effects may be different. Deforestation in a forest matrix does not create small, isolated forest patch but rather openings within a contiguous forest cover, a spatial pattern that is uniquely different from those observed in urban and agricultural landscapes. Likewise, these opening are different from those created by harvesting practices and gap phase dynamics in that openings created by development are more permanent. Hence, across a temporal scale, spatial patterns associated with development in a forest landscape also differ from those observed within natural or managed forest landscapes (Godron and Forman 1983, Franklin and Forman 1987). Fragmentation studies have focused principally on the biotic effects of small, isolated forest patches within intensively managed landscapes (Robbins 1979, Whitcomb et al. 1981, Forman et al. 1976, Wilcove et al. 1986). Because spatial patterns created by development within a forest landscape are different from those in agricultural landscapes, the biotic effects associated with intensively managed agricultural landscapes may be different. For example, nest parasitism by the brown-headed cowbird may be less severe in developed forest landscapes. These birds are associated with agricultural landscapes and may find the spatial matrix created by development in forests unsuitable habitat. Likewise, with an increase in edge caused by internal clearings and the addition of domestic pets from the developments, predation rate may actually be higher in developed forest landscapes than those

183 observed for agricultural landscapes (Calhoon and Haspel 1989). The effects of deforestation patterns within forest landscapes may be mitigated through proper landscape planning. Using existing species, community, and landscape inventorying techniques for evaluating and ranking the biological and landscape importance of forest patches (Noss 1987a, Duever and Noss 1990), landscape architects and planners can identify less critical forested sites and recommend placement of development within these areas. In doing so, the exposure of remaining interior habitat to humans and their activities, to nonnative species, and to the harassment of wildlife species by domestic pets is reduced (Janzen 1983, Noss 1987b).

Conclusion Previous studies of forest cover and edge length focused on the entire forest cover (see Turner and Ruscher 1988) and neglected the effects of deforestation on individual forest patches and on interior habitat. In this study, I identified different deforestation patterns and their effects on forest edge length and interior. The analysis showed that forest edge and interior dynamics were related not only to the amount of forest cover within a region (see Franklin and Forman 1987), but also to the type of deforestation patterns. These different deforestation patterns must be considered when modeling landscape dynamics to understand fully deforestation effects on landscape attributes and biodiversity. Likewise, the spatial patterns created by development within these forest landscapes may provide research opportunities in identifying forest clearing thresholds as they relate to nest parasitism, nest predation, introduction of exotics, and the development of xeric communities.

Acknowledgments I thank Robert L. Burgess and the anonymous reviewers for their valuable comments. The research was funded by the U.S. Forest ServiceNortheastern Forest Experimental Station.

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