The Andean forest provides a natural laboratory for evaluating long-term interactions between forests and variation in environmental parameters along elevational gradients. In particular, the mechanisms that control above-ground carbon stocks (AGC) and natural dynamics in mountain ecosystems constitute a potentially powerful tool for understanding the function of these ecosystems and their response to current climate change scenarios or past human disturbances. The present study integrates biotic (rarefied species richness and leaf traits) and abiotic (climate, soil properties and degradation) factors as possible drivers of AGC stocks, AGC net change (AGCnt), AGC productivity (AGCp) and AGC mortality (AGCk), along an elevational gradient of ca. 3000 m in the montane forests of the Ecuadorian Andes. My findings show that AGC metrics respond to elevational gradients (climate conditions) and past human disturbances. I found that temperature constitutes the primary filter for forest structure, AGC stocks, AGCnt and AGCp along the elevational gradient, where abiotic factors such as degradation and soil properties represent the main drivers for AGCk. This study provides insight into the processes that control patterns of AGC metrics in mountainous ecosystems, where temperature is likely the most important source of AGC variation in Andean forests.
","abstract_html":"<p>The Andean forest provides a natural laboratory for evaluating long-term interactions between forests and variation in environmental parameters along elevational gradients. In particular, the mechanisms that control above-ground carbon stocks (AGC) and natural dynamics in mountain ecosystems constitute a potentially powerful tool for understanding the function of these ecosystems and their response to current climate change scenarios or past human disturbances. The present study integrates biotic (rarefied species richness and leaf traits) and abiotic (climate, soil properties and degradation) factors as possible drivers of AGC stocks, AGC net change (AGCnt), AGC productivity (AGCp) and AGC mortality (AGCk), along an elevational gradient of ca. 3000 m in the montane forests of the Ecuadorian Andes. My findings show that AGC metrics respond to elevational gradients (climate conditions) and past human disturbances. I found that temperature constitutes the primary filter for forest structure, AGC stocks, AGCnt and AGCp along the elevational gradient, where abiotic factors such as degradation and soil properties represent the main drivers for AGCk. This study provides insight into the processes that control patterns of AGC metrics in mountainous ecosystems, where temperature is likely the most important source of AGC variation in Andean forests.</p>","abstract_has_math":false,"creators":["Pinto, Esteban"],"institution":null,"degree_name":"Biology","degree_level":"Thesis","degree_discipline":"Biology","degree_department":null,"school":null,"contributors":["Dr. Kevin S. Burgess","Dr. Clifton Ruehl","Alvaro Perez"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-11T07:00:00Z","date_published":"2021-09-11T07:00:00Z","updated_at":"2026-07-24T01:45:08Z","subjects":["Andean Forests","Above-Ground Carbon","Elevational Gradient","Climate","Degradation","Productivity","Structural Equation Model","Biology","Forest Biology","Forest Sciences"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://csuepress.columbusstate.edu/theses_dissertations/449","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Kevin S. Burgess","Dr. Clifton Ruehl","Alvaro Perez"]},{"key":"dc:creator","label":"Author","values":["Pinto, Esteban"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2022-01-24T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Biology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Andean Forests","Above-Ground Carbon","Elevational Gradient","Climate","Degradation","Productivity","Structural Equation Model","Biology","Forest Biology","Forest Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://csuepress.columbusstate.edu/theses_dissertations/449"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The Andean forest provides a natural laboratory for evaluating long-term interactions between forests and variation in environmental parameters along elevational gradients. In particular, the mechanisms that control above-ground carbon stocks (AGC) and natural dynamics in mountain ecosystems constitute a potentially powerful tool for understanding the function of these ecosystems and their response to current climate change scenarios or past human disturbances. The present study integrates biotic (rarefied species richness and leaf traits) and abiotic (climate, soil properties and degradation) factors as possible drivers of AGC stocks, AGC net change (AGCnt), AGC productivity (AGCp) and AGC mortality (AGCk), along an elevational gradient of ca. 3000 m in the montane forests of the Ecuadorian Andes. My findings show that AGC metrics respond to elevational gradients (climate conditions) and past human disturbances. I found that temperature constitutes the primary filter for forest structure, AGC stocks, AGCnt and AGCp along the elevational gradient, where abiotic factors such as degradation and soil properties represent the main drivers for AGCk. This study provides insight into the processes that control patterns of AGC metrics in mountainous ecosystems, where temperature is likely the most important source of AGC variation in Andean forests.
"]},{"key":"dc:title","label":"Title","values":["Forest Structure, above-Ground Carbon Stocks, and Productivity along an Elevational Gradient in the Ecuadorian Andes"]}]}],"canonical_facts":{"dc:contributor":["Dr. Kevin S. Burgess","Dr. Clifton Ruehl","Alvaro Perez"],"dc:creator":["Pinto, Esteban"],"dc:date.available":["2022-01-24T08:00:00Z"],"dc:description.abstract":["The Andean forest provides a natural laboratory for evaluating long-term interactions between forests and variation in environmental parameters along elevational gradients. In particular, the mechanisms that control above-ground carbon stocks (AGC) and natural dynamics in mountain ecosystems constitute a potentially powerful tool for understanding the function of these ecosystems and their response to current climate change scenarios or past human disturbances. The present study integrates biotic (rarefied species richness and leaf traits) and abiotic (climate, soil properties and degradation) factors as possible drivers of AGC stocks, AGC net change (AGCnt), AGC productivity (AGCp) and AGC mortality (AGCk), along an elevational gradient of ca. 3000 m in the montane forests of the Ecuadorian Andes. My findings show that AGC metrics respond to elevational gradients (climate conditions) and past human disturbances. I found that temperature constitutes the primary filter for forest structure, AGC stocks, AGCnt and AGCp along the elevational gradient, where abiotic factors such as degradation and soil properties represent the main drivers for AGCk. This study provides insight into the processes that control patterns of AGC metrics in mountainous ecosystems, where temperature is likely the most important source of AGC variation in Andean forests.
"],"dc:identifier":["https://csuepress.columbusstate.edu/theses_dissertations/449"],"dc:language":["English"],"dc:subject":["Andean Forests","Above-Ground Carbon","Elevational Gradient","Climate","Degradation","Productivity","Structural Equation Model","Biology","Forest Biology","Forest Sciences"],"dc:title":["Forest Structure, above-Ground Carbon Stocks, and Productivity along an Elevational Gradient in the Ecuadorian Andes"],"thesis:degree_discipline":["Biology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Biology"]},"updated_at":"2026-07-24T01:45:08Z"}