| Literature DB >> 20208983 |
Abstract
Community forestry offers potential for socioeconomic benefits while maintaining ecosystem services. In Mexico, government and donor efforts to develop this sector focus on issues within forest communities. Often overlooked are effects of external non-government actors (NGOs and foresters) as links or barriers between communities and funding, capacity building, and technical support. To analyze the role of these actors, I analyze household survey and interview data from 11 communities with varying levels of vertical integration of forestry production in states with divergent records of community forestry, Oaxaca and Michoacán. Results suggest that strong community governance is necessary but not sufficient for vertical integration, and strong interactions with non-government actors are critical. These actors, operating within the existing framework of government regulations, have a range of incentives for engaging communities. Availability of these actors motivated by concern for community capacity instead of timber income may be a determinant of community forestry development.Entities:
Year: 2009 PMID: 20208983 PMCID: PMC2828553 DOI: 10.1007/s10745-009-9289-3
Source DB: PubMed Journal: Hum Ecol Interdiscip J ISSN: 0300-7839
Number and percent of communities by level of vertical integration in Oaxaca and Michoacán and in study regions
| Forestry type | Oaxaca | Michoacán | ||
|---|---|---|---|---|
| Statewide | Study region: the Sierra Juarez (Districts of Ixtlán, Etla, and Villa Alta) | Statewide | Study region: municipalities of Ario de Rosales, Salvador Escalante and Tacámbaro | |
| 2 | 74 (50%) | 13 (35%) | 138 (80%) | 18 (78%) |
| 3 | 42 (28%) | 11 (30%) | 24 (14%) | 4 (17%) |
| 4 | 32 (22%) | 13 (35%) | 11 (6%) | 1 (4%) |
| Total | 148 (100%) | 37 (100%) | 173 (100%) | 23 (100%) |
National Survey of Community-Managed Forestry in Mexico (phase 1), ibid. Reliable data for type 1 communities were not available
Fig. 1The spectrum of external non-government actors
Characteristics of case study communities
| Forestry type | Total surface area (ha)a | Forested surface area (ha)a | Annual permitted volume (m3)a | Total populationb | Topographic roughnessc | |
|---|---|---|---|---|---|---|
| Michoacán | ||||||
| El Oyamel | 3 | 679 | 634 | 5,612 | 337 | 1.029 |
| Las Lomas | 2 | 1,116 | 597 | 970 | 794 | 1.015 |
| San Juan | 2 | 971 | 2,006 | 2,100 | 748 | 1.027 |
| La Capilla | 2 | 2,144 | 1,619 | 3,849 | 633 | 1.031 |
| El Cajoncito | 1 | 946 | 140 | No permit | 537 | 1.030 |
| Las Palmas | 1 | 3,328 | 1,106 | No permit | 710 | 1.033 |
| San Gustavo | 1 | 1,623 | 156 | No permit | 1,021 | 1.009 |
| Oaxaca | ||||||
| Palo Verde | 4 | 1,269 | 850 | 3,197 | 724 | 1.080 |
| Buenos Aires | 3 | 2,219 | 1,433 | 2,599 | 280 | 1.120 |
| Picachos | 2 | 5,690 | 4,646 | 9,024 | 292 | 1.069 |
| El Rincon | 1 | 6,364 | 5,278 | No permit | 789 | 1.187 |
Community names have been changed to pseudonyms to maintain anonymity of respondents
aData obtained from the Secretariat of the Environment (SEMARNAT) in each state
bData obtained from 2005 Population Count (INEGI)
cThis is a measure of rugosity created using digital elevation models and ArcView plugin Benthic Terrain Modeler. Rugosity, as defined here, is the mean of each cell’s ratio between the surface area and planar area in the region of interest. Values from 1 to 5 are given to each cell, from 1 = flat to 5 = steep. For more information see (http://www.csc.noaa.gov/products/btm/)
Fig. 2Location of study states, study regions, and case study communities
Internal organization: results of factorial ANOVA by forestry type and state
| Forestry type | Statement 1: communal funds are managed well and for the benefit of the community | Statement 2: community leaders are working well for the advancement of the community | Statement 3: my opinion is considered during community assemblies | |||
|---|---|---|---|---|---|---|
| Michoacán | Oaxaca | Michoacán | Oaxaca | Michoacán | Oaxaca | |
| 1 | 2.8 (0.14) [a] | 4.3 (0.22) [c] | 2.3 (0.14) [a] | 4.3 (0.24) [b, c] | 2.7 (0.13) [a] | 4.7 (0.14) [d] |
| 2 | 3.1 (0.23) [a, b] | 4.3 (0.21) [c] | 2.4 (0.19) [a] | 4.3 (0.17) [b, c] | 3.0 (0.17) [a, b] | 4.6 (0.16) [c, d] |
| 3 | 4.1 (0.22) [b, c] | 4.5 (0.21) [c] | 3.8 (0.29) [b] | 4.7 (0.12) [c] | 3.8 (0.25) [b, c] | 4.4 (0.22) [c, d] |
| 4 | 4.6 (0.10) [c] | 4.6 (0.15) [b, c] | 4.7 (0.12) [d] | |||
| Type main effect |
|
| Not significant | |||
| State main effect |
|
|
| |||
Respondents were asked the extent to which they agreed to statements on a Likert-scale of 1 (total disagreement) to 5 (total agreement). Standard errors are in parentheses next to means in table. Letters below means signify different groups of means, significant at the 0.05 level
Relationship with forester: results of factorial ANOVA by forestry type and state
| Statement 4: I trust the forester that works in the community | ||
|---|---|---|
| Forestry type | Michoacán | Oaxaca |
| 2 | 3.0 (0.22) [a] | 2.8 (0.30) [a] |
| 3 | 4.2 (0.18) [b] | 4.4 (0.18) [b] |
| 4 | 4.5 (1.9) [b] | |
| Forestry type main effect |
| |
| State main effect | Not significant | |
Regression results: are individual characteristics related to perceptions of governance and trust in foresters?
| Variable | Community governance composite | Trust in forester |
|---|---|---|
| Age | 0.00 (0.00) | 0.01 (0.01) |
| Education level | 0.27*** (0.06) | 0.43** (0.17) |
| Indigenous language speaker | 0.31*** (0.11) | −0.86*** (0.27) |
| Anyone in household living outside the municipality? | 0.07 (0.10) | 0.35 (0.30) |
| Agriculture is primary occupation | 0.04 (0.10) | 0.11 (0.27) |
| Hectares of individual usufruct land | −0.03** (0.01) | 0.00 (0.04) |
| Hectares of corn planted | −0.01 (0.03) | −0.03 (0.08) |
| % of corn sold | −0.30 (0.22) | −1.43** (0.70) |
| % of food from subsistence | 0.12*** (0.04) | 0.28*** (0.10) |
| Owns refrigerator | −0.10 (0.11) | 0.09 (0.28) |
| % domestic use timber from communal forest | −0.03 (0.03) | 0.00 (0.09) |
| Use gas or firewood to cook? | −0.05 (0.07) | 0.04 (0.18) |
| Constant | 3.30*** (0.39) | 1.52 (0.95) |
|
| 0.30 | 0.12 |
| Observations (or sum wgts) | 261 | 141 |
|
| 10.48*** | 2.56*** |